公开记录
软件健康报告模式 0.27.0 · 指标 1.13.0 · 2026-07-27 17:48 UTC

talmolab / sleap-io.js

TypeScriptBSD-3-Clause★ 0 星标⑂ 0 复刻始于 2026年1月在 GitHub 上查看 ↗

talmolab/sleap-io.js 的健康指数为 100 分中的 66 分,处于「中等」区间。 其得分最高的类别是Vitality(86/100),最低的是Community & Adoption(39/100)。 最近一次更新在 5 天前。 近期的大部分工作由 1 位贡献者完成。

66
总分 / 100
中等

软件健康指数

指标归入加权类别,统一采用 1–100 量表。总体分先取类别加权平均;当公开证据触发高风险司法辖区政策时,评级会按政策调整,并设置 49(有风险)的上限。AI 就绪度不计入总体分。

66
优秀85-100堪称典范;基本满足所有检验标准
良好70-84健康;仅有轻微不足
中等50-69可接受,但存在明显不足;建议进行审查
存在风险30-49存在重大薄弱环节;采用时应保持审慎
危急1-29问题严重(项目被弃置、仅有单一维护者、缺乏基本工程规范)
活力社区与采用可持续性与治理工程质量安全AI 就绪度

评分画像

每条轴代表一个类别。形状比平均值更重要——健康的对象会填满整个图形,而“一峰一谷”式画像意味着某一维度的优势正掩盖另一维度的风险。

所有权

76 关注者93 个公开仓库始于 2021年11月

该仓库由组织支持——共同承担、可问责的托管责任,可延续于任何单一维护者之后。

软件包生态系统

注册表软件包版本月下载量版本数最近发布
npm@talmolab/sleap-io.js0.5.62,054246 天前

按类别列示的指标

活力

项目是否仍有生命——是否仍在编写代码,是否仍在发布版本?

86优秀 · 占总体的 22%
评分方式
36/36推送新近度 — 最近一次推送于 5 天前
12.5/36提交节奏 — 52 周中有 18 周有提交
18/18提交量 — 最近一年 169 次提交
10/10OpenSSF Scorecard:Maintained — 30 commit(s) and 21 issue activity found in the last 90 days -- score normalized to 10
所用输入
commits_last_year169
human_commit_share1
days_since_last_push5
active_weeks_last_year18

发布纪律

100优秀
评分方式
27/27有发布版本 — 已发布 25 个发布版本
36/36发布时效 — 最近一次发布版本于 6 天前
27/27发布节奏 — 约每 5.9 天发布一次
0/10OpenSSF Scorecard:Signed-Releases — 无数据
所用输入
releases_count25
latest_release_tagv0.5.6
releases_from_tags
days_since_latest_release6
mean_days_between_releases5.9
已排除计分(无数据或不适用):OpenSSF Scorecard:Signed-Releases。 其余权重已重新归一化。

社区与采用

项目是否拥有用户、下载量与关注度,并具备欢迎贡献者参与的配置?

39存在风险 · 占总体的 18%
评分方式
0/60星标 — 0 个星标
0/25复刻 — 0 个复刻
0/15关注者 — 0 位关注者
所用输入
forks0
stars0
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

70良好
评分方式
22.5/22.5README
22.5/22.5许可证 — 可识别的许可证(BSD-3-Clause)
18/18CONTRIBUTING 指南
0/13.5行为准则
0/7.2议题模板
0/6.3PR 模板
所用输入
has_readme
has_license
has_contributing
has_issue_template
has_code_of_conduct
has_pull_request_template
评分方式
44.2/80月度下载量 — npm 合计每月 2,054 次下载
0/20注册表被依赖数 — 该生态系统不报告此项
所用输入
packages@talmolab/sleap-io.js
dependents
ecosystemsnpm
total_downloads
monthly_downloads2,054
已排除计分(无数据或不适用):注册表被依赖数。 其余权重已重新归一化。

可持续性与治理

项目能否在其成员之外延续——巴士系数、响应能力、由谁支持,以及软件包的维护状况?

64中等 · 占总体的 24%
评分方式
9/54巴士系数 — 1 位贡献者贡献了半数提交
4/22.5提交分布 — 头号贡献者编写了 82% 的提交
5.4/13.5贡献者广度 — 4 位贡献者
10/10OpenSSF Scorecard:Contributors — project has 3 contributing companies or organizations -- score normalized to 10
所用输入
bus_factor1
contributors_sampled4
top_contributor_share0.822
评分方式
40.5/46.8议题解决 — 87% 的议题已关闭
37.4/38.3PR 接受 — 已裁定的 PR 中 168/172 已合并
0/15OpenSSF Scorecard:Code-Review — Found 1/30 approved changesets -- score normalized to 0
所用输入
merged_prs168
open_issues9
closed_issues58
issue_closed_ratio0.866
closed_unmerged_prs4
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
13.6/25所有者影响力 — talmolab 有 76 位关注者
22.4/25既往记录 — 93 个公开仓库,账户约 4 年
所用输入
followers76
owner_typeOrganization
is_verified
owner_logintalmolab
public_repos93
account_age_days1,725
评分方式
25/25已发布且可解析 — npm 上有 1 个软件包
35/35发布时效 — 最近一次发布于 6 天前
20/20版本历史 — 24 个已发布版本
20/20未被弃用 — 活跃,未被弃用或撤回
所用输入
packages@talmolab/sleap-io.js
ecosystemsnpm
any_deprecated
min_days_since_publish6

工程质量

基础的工程与文档实践是否到位?

82良好 · 占总体的 20%

工程实践

84良好
评分方式
24/24CI 工作流 — 4 个工作流
24/24存在测试
16/16Linter 配置 — biome.json
0/9.6Pre-commit 钩子
0/6.4.editorconfig
20/20OpenSSF Scorecard:CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
所用输入
has_ci
has_tests
has_editorconfig
has_linter_config
has_precommit_config

文档

80良好
评分方式
30/30README
25/25文档目录
15/15文档 / 主页站点 — http://iojs.sleap.ai/
0/10仓库描述
0/10主题标签
10/10Wiki
所用输入
topics
has_wiki
homepagehttp://iojs.sleap.ai/
has_readme
has_docs_dir
has_description

安全

可见的安全与供应链实践是否稳固,且不存在未解决的高风险司法辖区暴露?

54中等 · 占总体的 16%

安全态势

43存在风险
评分方式
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — 无数据
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5许可证 — license file detected
7.5/7.5Maintained — 30 commit(s) and 21 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — 无数据
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0.8/7.5Vulnerabilities — 9 existing vulnerabilities detected
所用输入
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4.2
已排除计分(无数据或不适用):branch_protection, signed_releases。 其余权重已重新归一化。
评分方式
35/35直接依赖不含已知公告 — 没有直接依赖携带已知公告
25/25间接依赖不含已知公告 — 没有间接依赖携带已知公告
0/40没有长期未处理的公告 — 没有公告带有发布日期
所用输入
sourceosv
advisories0
affected_packages0
assessed_packages20
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
已排除计分(无数据或不适用):没有长期未处理的公告。 其余权重已重新归一化。 比对的是 npm:@talmolab/sleap-io.js@0.5.6 的运行时依赖闭包——安装已发布的软件包时真正被拉取进来的内容——共 20 个软件包。 未对可达性进行分析。

AI 就绪度

该仓库在多大程度上具备与 AI 编码代理协同开发与维护的条件?这是一枚独立的实验性徽章——权重为 0.0,因此单独呈现,不影响总体健康评分。

57中等 · 占总体的 0%
评分方式
0/45代理指令 — 没有 CLAUDE.md / AGENTS.md / 编辑器规则
0/15机器可读文档(llms.txt)
40/40可读的提交历史 — 100 次人类提交中有 100 次说明了意图(结构化标题或解释性正文)
所用输入
has_llms_txt
legible_history_share1
agent_instruction_files
agent_instruction_max_bytes
评分方式
0/18一条命令的引导启动
22/22自动化测试
11/11Lint / 格式化配置 — biome.json
11/11静态类型检查 — tsconfig.json
0/10可复现环境
10/10已体现的代理实践 — 最近 100 次提交中有 90 次由代理编写或署名代理
0/8自动化维护 — 未观察到自动依赖更新
0/10OpenSSF Scorecard:Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
所用输入
has_nix
has_tests
lockfiles
has_dockerfile
typed_language
bootstrap_files
has_devcontainer
has_linter_config
typecheck_configstsconfig.json
agent_commit_share0.9
toolchain_manifests
dependency_bot_commit_share0
评分方式
45/45可类型检查的代码 — TypeScript(静态类型)
53.7/55可控的文件大小 — 采样的 246 个源文件中有 6 个超过 60KB
所用输入
primary_languageTypeScript
largest_source_bytes177,032
source_files_sampled246
oversized_source_files6

关键数据

0GitHub 星标
4贡献者
169最近 12 个月提交数
5距最近推送天数
25发布版本数
1巴士系数(bus factor)
9开放议题
npm, PyPI软件包生态系统数

更多细节

OpenSSF Scorecard 4.2 / 10
4.2综合

来自开源项目 OpenSSF Scorecard 的独立、工具无关的安全评估。每项检查奖励的是安全实践本身,而非特定供应商的工具。Scorecard 无法判定的检查项标记为 不适用,并从安全评分中剔除(绝不按零分计)。Scorecard v5.5.0 · 2026-07-27 17:48 UTC

10Binary-Artifactsno binaries found in the repo
不适用Branch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/30 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 21 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
不适用Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
1Vulnerabilities9 existing vulnerabilities detected
直接依赖 6
注册表软件包版本约束清单文件
npmh5wasm^0.10.2package.json
npmjsfive^0.3.10package.json
npmmediabunny^1.30.0package.json
npmmp4box^0.5.4package.json
npmpako^2.1.0package.json
npmyaml^2.6.1package.json
全部依赖 17

来自 GitHub 依赖图的完整解析依赖集合:6 个直接依赖与 11 个间接(传递)软件包。仓库提交锁文件时,传递闭包才是完整的。

注册表软件包版本关系
npmh5wasm^0.10.2直接
npmjsfive^0.3.10直接
npmmediabunny^1.30.0直接
npmmp4box^0.5.4直接
npmpako^2.1.0直接
npmyaml^2.6.1直接
npm@biomejs/biome2.5.1间接
npm@types/bun^1.3.14间接
npm@types/node^22.10.5间接
npm@types/pako^2.0.4间接
npmskia-canvas^3.0.8间接
npmtiff^7.1.3间接
npmtsup^8.3.5间接
npmtypescript^5.6.3间接
PyPImike2.1.3间接
PyPImkdocs1.6.1间接
PyPImkdocs-material9.5.44间接
依赖安全公告 0

安装 npm:@talmolab/sleap-io.js@0.5.6 会引入 20 个包(直接与传递):其中 0 个存在已知公告,0 个为直接依赖。

没有已知公告影响已评估的依赖。

公告表示依赖图中记录的版本落入某条公告的受影响范围。可达性未经分析,且依赖图包含开发与测试的版本固定——某项发现可能只涉及工具链而非交付的软件。

原始 JSON 报告 机器可读
{
  "data": {
    "repo": {
      "topics": [],
      "is_fork": false,
      "size_kb": 26628,
      "has_wiki": true,
      "homepage": "http://iojs.sleap.ai/",
      "languages": {
        "Python": 14740,
        "JavaScript": 6221,
        "TypeScript": 3111734
      },
      "pushed_at": "2026-07-21T20:24:50Z",
      "created_at": "2026-01-15T17:18:45Z",
      "owner_type": "Organization",
      "updated_at": "2026-07-21T20:25:38Z",
      "description": null,
      "is_archived": false,
      "is_disabled": false,
      "license_spdx": "BSD-3-Clause",
      "default_branch": "main",
      "license_spdx_raw": "BSD-3-Clause",
      "primary_language": "TypeScript",
      "significant_languages": [
        "TypeScript"
      ]
    },
    "owner": {
      "blog": "talmolab.org",
      "name": "Talmo Lab at the Salk Institute",
      "type": "Organization",
      "login": "talmolab",
      "company": null,
      "location": "United States of America",
      "followers": 76,
      "avatar_url": "https://avatars.githubusercontent.com/u/93783233?v=4",
      "created_at": "2021-11-05T15:33:29Z",
      "is_verified": null,
      "public_repos": 93,
      "account_age_days": 1725
    },
    "license": {
      "state": "standard",
      "spdx_id": "BSD-3-Clause",
      "raw_spdx": "BSD-3-Clause",
      "file_present": true,
      "scorecard_found": true,
      "profile_has_license": true
    },
    "activity": {
      "releases": [
        {
          "tag": "v0.5.6",
          "kind": "patch",
          "published_at": "2026-07-20T23:17:08Z"
        },
        {
          "tag": "v0.5.5",
          "kind": "patch",
          "published_at": "2026-07-16T19:22:21Z"
        },
        {
          "tag": "v0.5.4",
          "kind": "patch",
          "published_at": "2026-07-11T03:36:00Z"
        },
        {
          "tag": "v0.5.3",
          "kind": "patch",
          "published_at": "2026-07-06T02:43:02Z"
        },
        {
          "tag": "v0.5.2",
          "kind": "patch",
          "published_at": "2026-07-05T20:25:54Z"
        },
        {
          "tag": "v0.5.1",
          "kind": "patch",
          "published_at": "2026-07-05T19:54:19Z"
        },
        {
          "tag": "v0.5.0",
          "kind": "minor",
          "published_at": "2026-07-04T23:46:56Z"
        },
        {
          "tag": "v0.4.1",
          "kind": "patch",
          "published_at": "2026-06-18T23:52:31Z"
        },
        {
          "tag": "v0.4.0",
          "kind": "minor",
          "published_at": "2026-05-30T14:34:34Z"
        },
        {
          "tag": "v0.3.1",
          "kind": "patch",
          "published_at": "2026-05-29T00:25:30Z"
        },
        {
          "tag": "v0.3.0",
          "kind": "minor",
          "published_at": "2026-04-13T22:49:36Z"
        },
        {
          "tag": "v0.2.3",
          "kind": "patch",
          "published_at": "2026-03-21T18:23:57Z"
        },
        {
          "tag": "v0.2.2",
          "kind": "patch",
          "published_at": "2026-03-15T01:42:06Z"
        },
        {
          "tag": "v0.2.1",
          "kind": "patch",
          "published_at": "2026-03-05T23:59:14Z"
        },
        {
          "tag": "v0.2.0",
          "kind": "minor",
          "published_at": "2026-03-05T02:52:07Z"
        },
        {
          "tag": "v0.1.9",
          "kind": "patch",
          "published_at": "2026-01-19T20:07:31Z"
        },
        {
          "tag": "v0.1.8",
          "kind": "patch",
          "published_at": "2026-01-19T18:11:25Z"
        },
        {
          "tag": "v0.1.7",
          "kind": "patch",
          "published_at": "2026-01-19T05:27:32Z"
        },
        {
          "tag": "v0.1.6",
          "kind": "patch",
          "published_at": "2026-01-19T04:40:36Z"
        },
        {
          "tag": "v0.1.5",
          "kind": "patch",
          "published_at": "2026-01-19T03:36:00Z"
        },
        {
          "tag": "v0.1.4",
          "kind": "patch",
          "published_at": "2026-01-19T01:31:21Z"
        },
        {
          "tag": "v0.1.3",
          "kind": "patch",
          "published_at": "2026-01-17T07:46:52Z"
        },
        {
          "tag": "v0.1.2",
          "kind": "patch",
          "published_at": "2026-01-17T04:17:21Z"
        },
        {
          "tag": "v0.1.1",
          "kind": "patch",
          "published_at": "2026-01-17T00:44:01Z"
        },
        {
          "tag": "v0.1.0",
          "kind": "minor",
          "published_at": "2026-01-16T04:59:54Z"
        }
      ],
      "recent_commits": [
        {
          "oid": "c709e5be5680eed12abd088dcde02ca62d9018e0",
          "body": "…uri) (#238)\n\n* fix(slp): read `/centroids` group in the streaming reader (browser/Tauri)\n\nThe eager (`readSlp`) and lazy (`readSlpLazy`) readers both read the\nfirst-class `/centroids` group, but the STREAMING reader\n(`readFromStreamingFile`) — the path the browser and Tauri WebView use —\nhad no cen\n[…]\n`biome format --write` on just the touched files to\navoid reformatting unrelated (pre-existing) files.\n\nWith the help of Claude.\nClaude-Session: https://claude.ai/code/session_01Q6tAAhTSZww7RY2Hu46cBW",
          "is_bot": false,
          "headline": "fix(slp): read `/centroids` group in the streaming reader (browser/Ta…",
          "author_name": "Tom Han",
          "author_login": "tom21100227",
          "committed_at": "2026-07-21T20:24:16Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "667cd829cb3a45a8134f98b12927fccff32535b4",
          "body": "Bump package version 0.5.5 -> 0.5.6 ahead of the v0.5.6 release.\n\nSave/edit-save overhaul for large embedded .pkg.slp, plus Python-interop\nfixes for pose tables and centroids. Merged since v0.5.5:\n\n- #223 feat: streaming embedded-video append writer (write B-seam)\n- #229 feat: in-place label edit-sa\n[…]\n)\n- #233 fix: centroid `source` persisted as snake_case (Python interop)\n- #235 fix: centroids written as a `/centroids` group (Python interop)\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "chore(release): bump version to 0.5.6 (#236)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-20T23:16:56Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "cbefade97d41fc0ada37c8bf9ec340f272318c34",
          "body": "…235)\n\nsleap-io.js serialized centroids as a single 2-D matrix dataset `/centroids`\n(+ a `field_names` attr) plus sibling `centroid_categories`/`centroid_names`/\n`centroid_sources` string datasets. Python sleap-io writes and reads a\n`/centroids` GROUP with one named dataset per field, so the two wer\n[…]\nes still load. Add\ncross-language round-trip tests (JS->Python and Python->JS), guarded to skip\nuntil sleap-io ships centroids to PyPI (current 0.6.x has no centroid module).\n\nWith the help of Claude.",
          "is_bot": false,
          "headline": "fix(slp): write centroids as a `/centroids` group (Python interop) (#…",
          "author_name": "Tom Han",
          "author_login": "tom21100227",
          "committed_at": "2026-07-20T21:58:53Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "d886195cfbdb4a19729a34bdfc79a1e95c1dd839",
          "body": "The SLP on-disk format is snake_case for Python/PyQt interop, but the\ncentroid `source` was the lone exception: `Centroid.fromInstance` stored\nthe JS camelCase method name (`centerOfMass`/`bboxCenter`) into `source`\nand the SLP reader/writer round-tripped it verbatim, so JS-written files\ndisagreed w\n[…]\npdate + extend\n  `tests/centroid.test.ts` (snake_case expectations, snake_case method\n  parity, direct normalizer coverage, anchor round-trip).\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(centroid): persist Python-canonical snake_case `source` (#233)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-20T20:45:03Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "ebc77ed8f6a9b088d313f5e1b235539379db4c41",
          "body": "…t32 (#231) (#232)\n\nh5wasm's dtype parser keys off the type CHAR and ignores the trailing\ndigit, so \"<f8\" resolves to float32 (char 'f'=4 bytes), not float64. The\nstreaming append writer created the `instances` pose table with \"<f8\", so\nits integer bookkeeping columns (instance_id, frame_id, point_i\n[…]\n === 8) and that a large odd id\n(2^24 + 17) round-trips exactly through the writer's dataset — it would\ncorrupt to an even value under float32.\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(slp): write streaming `instances` pose table as float64, not floa…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-20T18:14:51Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "358f00ff1c34b0d2e07f939d6de53f1ef2839c80",
          "body": "…editable (#218) (#228)\n\nReconciles the compound pose-table writer (Python reads integer id columns; closes\n#218) with the in-place edit-save. instances/points/pred_points/negative_frames are\nwritten as HDF5 COMPOUND *and* CHUNKED + unlimited, so app-saved .slp open in Python\nsleap-io / PyQt AND sta\n[…]\n on top of main after #223+#229 squash-merged. Tree == the verified\nintegration/io-056-verify reconciled state (full suite 2111 pass / 0 fail).\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(slp): compound + chunked pose tables — Python interop + in-place-…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-17T21:02:46Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "7e69ea9549ece570f3c3110c584afcc9c34b7859",
          "body": "…ter edits on large embedded pkg.slp (#229)\n\nAdds writeLabelTablesInPlace / checkInPlaceWritable / buildLabelTableUpdate + the\nchunked resizable table writers: an edit re-save of an existing embedded pkg.slp\npatches ONLY the label tables (write_slice for value edits, resize+write_slice for\nstructura\n[…]\nw, rest fast\").\n\nRebuilt on top of main after #223 squash-merged (was a stacked branch). Tree is\nthe verified 15019ef state (full suite green).\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(slp): in-place label edit-save (updateLabelsInPlace) — ~100x fas…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-17T21:00:19Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "bd3fef73a0e6059f110c5b207511d78e14ed756f",
          "body": "* feat(slp): streaming embedded-video append writer (write B-seam)\n\nAdds a disk-backed streaming writer for embedded pkg.slp so large files can be\nwritten past the wasm-heap limit: a worker-hosted h5wasm opens the destination in\nappend mode over a SharedArrayBuffer bridge (tagged source/dest) and co\n[…]\nnd was failing on ubuntu; apply\nBiome's own formatting. No behavior change.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(slp): streaming embedded-video append writer (write B-seam) (#223)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-17T20:56:23Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "e8dbaef8ccc87b861620bc5bdeb5ae57dede9e46",
          "body": "Bump package version 0.5.4 -> 0.5.5 ahead of the v0.5.5 release\n(SLP 2.5/2.7/2.8 format subsystems + loader fixes merged since v0.5.4).\n\n\nClaude-Session: https://claude.ai/code/session_011uVvy9CF2wmFECEtkAzC89\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "chore(release): bump version to 0.5.5 (#227)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-16T14:19:35Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "1399272fa86fb66910bc2a3f799e50693b09a2dd",
          "body": "…beddings) (#226)\n\nSLP 2.7 class/category subsystem for the browser, mirroring the identity stack (#225). Adds category to Instance (the other 4 modalities already had it) + categoryScore/categoryEmbedding on all five detection types, using the existing string category (no breaking model change). Wr\n[…]\nattaches identity (2.5) and category (2.7) across eager, streaming, and lazy paths. format_id bumps to 2.7 only when a detection carries a category. Verified round-trip both directions against Python.",
          "is_bot": false,
          "headline": "feat(slp): SLP 2.7 class/category subsystem (/categories + links + em…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-16T12:03:22Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "da1f8e0e2332825d860080de532f86e7480bd525",
          "body": "…dings, SLP 2.5) (#225)\n\nBrowser port of the SLP 2.5 per-detection identity subsystem, coordinated with Python sleap-io#548 (which reads the h5wasm flat-2D /identity/links form). Adds identity/identityScore/identityEmbedding to all five detection types + an exported Embedding class; dual-writes the \n[…]\ner, streaming, and lazy paths. format_id bumps to 2.5 only when a detection carries an identity link or embedding. Also always writes camera size so Python make_camera can read JS session calibration.",
          "is_bot": false,
          "headline": "feat(slp): per-2D-detection identity stack (/identity + links + embed…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-16T11:59:59Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "0f3c73b997f326c5cae12b6473089444153567e7",
          "body": "…220) (#224)\n\nBrowser port of Python sleap-io#546: moves 3D session data (frame groups, instance groups, camera→(lf,inst) member map, triangulated 3D points) out of the single sessions_json vlen string into a columnar /session_data HDF5 group, bumping the SLP format to 2.8. Adds a loud read-failure \n[…]\nntly dropping calibration+3D). Folds in the luc3d#161 correctness fixes: NaN-not-null missing 3D keypoints, and the 2D point-span off-by-one (writer emits exactly nNodes points/instance). Closes #220.",
          "is_bot": false,
          "headline": "feat(slp): columnar /session_data 3D storage (SLP 2.8) + fail-loud (#…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-16T11:55:07Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "86de055becb7538fb061d58ae2ce74cdb0a7c027",
          "body": "…filename` (#221) (#222)\n\nThe SLP writer dumped an ImageVideo's full ordered frame list into the\nsingular `backend.filename` and never wrote `backend.filenames`. The\ncanonical SLP format (Python `video_to_dict`, and sleap-io.js's own reader\nin `parsers.ts` `resolveVideoFilename`) stores the full lis\n[…]\nits own image sequence back to the full list\n- Python `read_videos` (the `make_video` path that crashed) reads the\n  JS-written image sequence as a 3-frame list\n\nCloses #221.\n\nWith the help of Claude.",
          "is_bot": false,
          "headline": "fix(slp): serialize ImageVideo frames under `filenames`, not scalar `…",
          "author_name": "Tom Han",
          "author_login": "tom21100227",
          "committed_at": "2026-07-15T21:35:40Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "ad0d3ce4eaaadeb3378f136400e610a4bfd3496b",
          "body": "Copy already-embedded videos' stored blobs verbatim (getFrameBuffer, no decode/re-encode); preserve is the default unless embed:\"source\". Low-peak streaming write into a resizable dataset; backstop throws instead of writing a stripped file. Device-verified in the Tauri WebView. Closes #218.",
          "is_bot": false,
          "headline": "fix(slp): preserve embedded images on re-save via raw-blob copy (#219)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-14T20:06:30Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "01c55b2a136b63d315d5007ec4b2f96f57f8a6a9",
          "body": null,
          "is_bot": false,
          "headline": "chore(ci): set coverage artifact retention to 1 day (#217)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-11T03:29:46Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "aaefc8648f0eb909598590d72e58570cd0b096c0",
          "body": "… withhold unreadable backends (#213) (#216)\n\nA `.slp` that references external videos — especially ImageVideo image\nsequences — by absolute paths saved on another machine could not be\nopened when the media now lives in a subfolder next to the `.slp`, and\nthe loader gave consumers no signal that a v\n[…]\n-save stays\nportable and matching/identity is unchanged.\n\n\nClaude-Session: https://claude.ai/code/session_01CWnwXZJfyLFtTZY1fAsJmh\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(video): resolve external/ImageVideo paths against the labels dir;…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-11T03:05:05Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "9bfb4e6787d38147b1f2dc15c3b3282191d448c1",
          "body": "… |S<n> json dataset (#214) (#215)\n\nPython sleap-io spills oversized source_video metadata (e.g. an ImageVideo\nsource with thousands of frame filenames, >64 KB) to a scalar fixed-length\nstring dataset (np.bytes_, shape (), dtype |S<n>) instead of the usual\nsource_video/@json attribute. The JS reader\n[…]\nducible generator\n  gen_spilled_source_video_fixture.py.\n\n\nClaude-Session: https://claude.ai/code/session_01AVF2bqAcP7zxU242LyJiFX\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(slp): open .pkg.slp when source_video metadata spills to a scalar…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-11T02:59:56Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "38df4cefb628cdf1c5f1e694f1bee54856dc7708",
          "body": "…rge files (#212)\n\nDesktop can't hand the video backends a lazy disk-backed File (the WebView has\nno FS access to a raw path), so it reads the whole file into memory via readFile\nbefore decoding — freezing/crashing on multi-GB videos. Add a lazy byte source\nso the backends read only the container in\n[…]\noving the StreamSource wiring and the end-exclusive convention).\nBig-file laziness (only-needed-ranges, low memory) is E2E-verified on desktop.\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(video): RangeSource mode for MP4/MediaBunny backends — stream la…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-10T19:17:45Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "b143bfcd85fddb9bc83f2d2e2ca2e78305f9e549",
          "body": "* feat(io): browser-safe saveAnalysisH5ToBytes\n\nAdd a browser-safe way to produce SLEAP Analysis HDF5 (.h5) bytes, the analog of\nsaveSlpToBytes. saveAnalysisH5 is Node-only (it writes to a disk path via the\nregistered Node fs writer), so the browser / Tauri WebView could not export the\nanalysis .h5 \n[…]\nisk path carry the same\ncontent, robust to byte-level HDF5 non-determinism.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(io): browser-safe saveAnalysisH5ToBytes (#211)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-09T19:14:50Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "72e6082d1877f2157c6a59149903a5bf2a93b042",
          "body": "…, defer per-video reads (#210)\n\nAdd a `lazyVideoMetadata` option to `readSlpStreaming`/`readFromStreamingFile`.\nWhen set, embedded videos are built from `videos_json` ALONE and every per-video\nHDF5 read (dataset lookup, getAttrs, frame_numbers, frame_sizes, source_video)\nis deferred to a self-initi\n[…]\n eager reader's resolveSourceFrameCount.\n\nOpt-in and independent of `openVideos`/`lazy`; default behavior is unchanged.\nBumps version to 0.5.4.\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(slp): lazyVideoMetadata — open embedded pkg.slp from videos_json…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-08T23:09:18Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "5aa7869da05fe20e25c8d9b653281cc3681595bf",
          "body": "Streaming/incremental SLP writer + multi-store merge + overlays + dedup\n(#208, closes #207). Not released yet.\n\n\nClaude-Session: https://claude.ai/code/session_01NQDXxA9TYiC3aCtKWD7Eqn\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "chore(release): bump version to 0.5.3 (#209)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-05T23:57:49Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "fd58aab6ef2d90e75ef85047e7a58dcb55b705a4",
          "body": "…) (#208)\n\n* feat(slp): streaming/incremental SLP writer + multi-store merge (#207)\n\nWrite-side companion to `readSlpStreaming({ lazy })`. Build an SLP by appending\npose frames/instances/points in bounded windows to *resizable* HDF5 datasets\n(create-empty → `resize` + `write_slice` per window), inst\n[…]\ne Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01NQDXxA9TYiC3aCtKWD7Eqn\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(slp): streaming/incremental SLP writer + multi-store merge (#207…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-05T23:50:22Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "af9cbd6e9d1999c3113d4f6c26fddcad34c86877",
          "body": "Patch release: lazy-reader video-id remap fix (#205, closes #204).\n\n\nClaude-Session: https://claude.ai/code/session_01NQDXxA9TYiC3aCtKWD7Eqn\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "chore(release): bump version to 0.5.2 (#206)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-05T20:25:31Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "40604effb72792a342279ef745507441bdb5eb18",
          "body": "The lazy SLP readers (`readSlpLazy`, and the streaming lazy mode added in\n#203) indexed videos by the raw `frames.video` id, while the eager readers\nremap it through `buildVideoIdMap`. For a file whose frame video ids are\nnon-contiguous or don't equal their position in the `videos` array — e.g.\n`vid\n[…]\ny harness only had single-video fixtures).\n\nCloses #204.\n\n\nClaude-Session: https://claude.ai/code/session_01NQDXxA9TYiC3aCtKWD7Eqn\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(slp): apply the video-id remap in the lazy readers (#204) (#205)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-05T20:11:12Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "bd12bccfa2a504954cef5c249e9fa75005f8b4a0",
          "body": "* feat(slp): lazy mode for the streaming reader (readSlpStreaming({ lazy }))\n\nreadSlpStreaming already runs HDF5 I/O in a Worker and transfers the pose\ntables to the main thread as columnar Float64Array columns, but it then\neagerly builds every LabeledFrame/Instance — a large object-graph peak for\np\n[…]\n@anthropic.com>\nClaude-Session: https://claude.ai/code/session_014HXm3B85VSPNkecR8tfkD1\n\n* chore: bump version to 0.5.1\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(slp): lazy mode for the streaming reader + bump to 0.5.1 (#203)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-05T19:53:35Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "87597c8b42a282776a13ba78b9b0a2d7b030a016",
          "body": "…sted videos_json) (#202)\n\nThe SLP codec reconstructed `source_video` filename-only, dropping the source's\nshape and any deeper chain. So after a real save/reload `_getEffectiveShape()`\ncould not resolve a reloaded embedded subset's full frame extent, and the\nembedded-subset -> restore-original matc\n[…]\nests/codecs/source-video-fidelity.test.ts.\n\nCloses #160.\n\n\nClaude-Session: https://claude.ai/code/session_01NQDXxA9TYiC3aCtKWD7Eqn\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(slp): round-trip source_video lineage with shape (HDF5 group + ne…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-05T17:45:59Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "6f8f7763d9967e277d5dc6f5e334f6e55ac74f7f",
          "body": "…ly (#201)\n\nMp4BoxVideoBackend captured `isBrowser`/`hasWebCodecs` in module-level\nconsts, frozen at first import. Under a shared module registry (bare\n`bun test`, where all files run in one process), any file that imported\nthis module before a test installed its fake `window`/WebCodecs globals\nfroz\n[…]\ns / 1 skip / 0 fail; `tsc --noEmit` clean.\n\nCloses #159.\n\n\nClaude-Session: https://claude.ai/code/session_01NQDXxA9TYiC3aCtKWD7Eqn\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(video): evaluate Mp4BoxVideoBackend WebCodecs/browser probes lazi…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-05T17:14:18Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "1918f9e5072c75ba186e88343bd25a1748e46a20",
          "body": null,
          "is_bot": false,
          "headline": "Bump version to 0.5.0 (#200)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-04T23:46:05Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "df4cb880378d01d94eec7b7edcaecc4fd74005c9",
          "body": "…(#193)\n\nAdds a RangeSource variant to the streaming HDF5 reader so a file can be read\nlazily via an app-provided byte-range callback (the \"B-seam\" range reader),\nletting the SLEAP desktop app open multi-GB embedded .pkg.slp files without\nmaterializing the whole file in WASM memory.\n\n- h5-streaming.\n[…]\n-write helpers against a\n/tmp ENOENT flake under `bun test --parallel`.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01W9wBrgT1wZbN92mv764jKq",
          "is_bot": false,
          "headline": "feat(slp): lazy RangeSource for streaming HDF5 (B-seam range reader) …",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-04T23:29:41Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "07b08302c690410758ad65d74c38a2c068eb3805",
          "body": "…ss grouping, Python-canonical shape (#198)\n\nCloses #197. Makes the recording-session object model a faithful, lossless,\nlazy-native projection of sessions_json so consumers (luc3d/LUCID) read typed\nobjects instead of hand-parsing HDF5.\n\n- Lossless grouping via as-read index refs + lazy resolver (ze\n[…]\nessions: true }, default off), deprecated.\n\nHandoff: talmolab/luc3d#121\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01W9wBrgT1wZbN92mv764jKq",
          "is_bot": false,
          "headline": "feat(sessions): faithful lazy-native recording-session model — lossle…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-04T19:30:33Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "0254a6e15a0d30450fe20a528f2a3bdbc61bf3db",
          "body": "Real-data-driven performance work on the SLP read path (large-file browser\nOOM/hang). Behavior-preserving; values byte-identical; 1892 tests pass.\n\n- Columnar HDF5 compound read via the Emscripten Module, bypassing h5wasm's\n  per-record Dataset.value (~21x on the points table); node + streaming work\n[…]\neaming reader (to defer the residual build freeze) left as a follow-up.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01W9wBrgT1wZbN92mv764jKq",
          "is_bot": false,
          "headline": "perf(slp): faster, lower-memory SLP read path (#196)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-04T04:56:56Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "0d7fb2e9e3da11c2c15b44fcb4d3937f517e1ad2",
          "body": "…0) (#195)\n\nPorts the SLEAP Analysis CSV exporter (missing from the JS port) and bakes in\nthe full-video-span fix from sleap-io PR #480:\n\n- src/io/csv.ts: labelsToCsv(labels, opts) builds the \"SLEAP Analysis\" CSV —\n  one row per instance per frame with columns track, frame_idx, instance.score,\n  {no\n[…]\neo-span padding, comma quoting, and the disk round-trip.\n\n\nClaude-Session: https://claude.ai/code/session_01869N2KkrfeKADXeX9ENwD4\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(io): SLEAP Analysis CSV export with full-video-span padding (#48…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-03T20:43:22Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "5e911ff774760a76c92552ac05ac935c6e8616cd",
          "body": "…to-draw (#468/#494/#506) (#194)\n\nPorts the sleap-io 0.8.0 centroid-rendering PRs (the JS renderer previously\ndrew no centroids at all):\n\n- #506: add drawCentroids(image, centroids, opts) — filled circle markers via\n  skia-canvas, single color or per-centroid colors, with offset/alpha; exported\n  fr\n[…]\ncale block confirmed the overlay-only path is unchanged.\n\n\nClaude-Session: https://claude.ai/code/session_01869N2KkrfeKADXeX9ENwD4\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(rendering): centroid rendering — draw_centroids + renderImage au…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-03T20:41:11Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "3dd0689b63cff9a72cddc8ac9bf7d4282d1c0449",
          "body": "…led, single overlay (#191)\n\nThree data-fidelity / API parity fixes from sleap-io 0.8.0:\n\n- #504: preserve tracking_score and _instance_idx through annotation\n  conversions. BoundingBox.toRoi, SegmentationMask.toBbox/toPolygon/\n  resampled, and ROI.toMask now carry both fields (plus the predicted\n  \n[…]\nt, #503 COCO writer, #468/#494/#506 centroid\nrendering).\n\n\nClaude-Session: https://claude.ai/code/session_01869N2KkrfeKADXeX9ENwD4\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(model,rendering): 0.8.0 parity — conversion metadata, isUserLabe…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-03T20:38:44Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "e0c5bd2ff682e812ba5be97bf5399aa63796a4d6",
          "body": "…ive demo (#190)\n\nCloses the interactive/browser segmentation-rendering gap (the JS-side\ncounterpart to sleap-io's Node-only overlay path).\n\n- model/mask: SegmentationMask.contours() traces the real mask boundary\n  (pixel-edge tracing + saddle disambiguation so 4-connected blobs and\n  holes each get\n[…]\n), the data cache, and the browser-safe raster overlays.\n\n\nClaude-Session: https://claude.ai/code/session_01869N2KkrfeKADXeX9ENwD4\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(model,rendering): browser-safe segmentation rendering + interact…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-03T20:36:20Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "a3487426b685cb10335d508a94c05a3586e61e3e",
          "body": "An embedded pkg.slp video's seekbar extent (source frame count) came from\nresolveSourceFrameCount, which returned the FIRST of: the `frames` HDF5 attr,\nvideos_json backend.shape[0], then max(frame_numbers)+1. When the `frames` attr\nis bogus — smaller than the stored frames' own source indices — the \n[…]\ndy valid. Regression test added.\n\nVerified against the real file: video0 shape[0] 424 -> 173998, and getFrame(77077)\ndecodes a 1280x1024 image.\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(slp): clamp embedded video frame axis to max(frame_numbers)+1 (#192)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-02T18:36:27Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "0d3eda9777dffa7c3a4e7000b334f427accab194",
          "body": "Add a per-call GetFrameOptions to VideoBackend.getFrame / Video.getFrame.\nImageVideoBackend skips its read-ahead prefetch window when prefetch:false,\nso a scrubbing consumer can avoid the wasted, I/O-saturating read-ahead of\nframes it scrubs past (measured ~3.6x slower foreground reads under the\n6-w\n[…]\nImageVideoBackend opt-out + default-on. typecheck + build clean;\n--parallel suite green (1 pre-existing Python-oracle skeleton fail unrelated).\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(video): getFrame({ prefetch: false }) to suppress read-ahead (#189)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-06-29T21:40:35Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "9621f47b7d9f178a026a6fe8498fc08da963f64e",
          "body": "…ship (JS#153) (#188)\n\nAddresses JS#153 (refs, not closes). Adds an optional readCrop() pushdown hook to VideoBackend; CropVideoBackend tries it then falls back to byte-identical full-decode+crop. Embedded HDF5 backends return null (encoded blobs can't be hyperslabbed); the raw rank-4 chunked-HDF5 f\n[…]\n the opt-in in-memory Video.crop({shareDecode:true}) path.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "perf(video): crop pushdown hook + lock in correct mosaic decode owner…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-26T00:04:30Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "d3a9ba700bfd3d56e35d4148ef704497387e95d8",
          "body": "…ython #446) (#187)\n\nPorts Python sleap-io #446 (closes #149): a missing /metadata group OR a missing/empty 'json' attribute now raises the same helpful typed error (likely-corrupt file) across eager, lazy, and streaming readers — mirroring Python read_metadata. Malformed-but-present JSON still surfaces the underlying parse error.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "fix(io): helpful error when SLP metadata JSON attribute is missing (P…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-25T23:40:45Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "a6346e2e4842b301521adb37faeed6b9e5df64ed",
          "body": "… (Python #447) (#186)\n\nPorts Python sleap-io #447 (closes #150): _registerSkeleton collapses structurally-equal skeletons to a canonical instance (Skeleton.matches requireSameOrder:true) and rebinds inst.skeleton, applied automatically in update()/append()/extend() and the constructor's instance-collection pass — replacing identity-only dedup.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "feat(model): structural skeleton dedup in Labels.update/append/extend…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-25T23:38:58Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "d6f2949be2aa56f7c032a9b004a818cc0d3576d6",
          "body": "…gle Drive (Python #439/#445/#441) (#185)\n\nNew src/io/remote.ts + gdrive.ts: thread auth headers end-to-end through .slp/video remote reads, resolve gs:// → storage.googleapis.com and Google Drive share-links, redact credentials in all errors, retry/backoff with Retry-After, force Accept-Encoding: i\n[…]\nists() URL probe. s3/az SDKs + fsspec disk cache deferred.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "feat(io): remote loading hardening — auth headers, cloud schemes, Goo…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-25T13:36:00Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "91d1ca6f3ab564a9ac258ab10232d88eded1addb",
          "body": "New src/io/dlc.ts: DeepLabCut project reader (loadDlc/loadDlcProject/loadDlcSplits). Multi-index CSV → instances, config.yaml → skeleton/edges/video_sets, single-image videos, source linking, empty frames, splits. loadDlcSplits decodes real numpy-array Documentation pickles. Read path only.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "feat(io): DeepLabCut project reader (Python #450/#488/#492/#418) (#184)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-25T13:33:26Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "50bb673b9da3be3f1173fcb2f8643f88c6aeaa33",
          "body": "…93/#418) (#183)\n\nNew src/io/coco.ts + coco-node.ts: COCO keypoint + instance-segmentation reader (polygon→mask, uncompressed + compressed LEB128 RLE, category_as_track, scored→predicted, duplicate-filename grouping, degenerate-polygon bbox fallback, empty frames). Includes ROI.toMask polymorphism (PredictedROI→PredictedSegmentationMask). Read path only.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "feat(io): COCO instance-segmentation reader (Python #479/#481/#487/#4…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-25T13:30:19Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "2f2d83d6ded6c5ab9226fa3ca347b4cc7ba801b8",
          "body": "Adds an onProgress (current, total, message?) callback to .slp loading, emitted by all three reader paths (streaming/eager/lazy), each deriving total from a per-path stage list. Per-video sub-progress on openVideos; pure side effect. Includes tests (tests/codecs/slp-load-progress.test.ts) and docs (usage.md).\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "feat(slp): onProgress callback for load progress (#176)",
          "author_name": "Tom Han",
          "author_login": "tom21100227",
          "committed_at": "2026-06-25T04:24:48Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "02bbd40dbd7fdd61eb90d9bc45a1c6fb896b6d65",
          "body": "…#465) (#164)\n\nPorts Python sleap-io #464 + #465: gzip-compress the mask_rle and roi_wkb HDF5 datasets when writing .slp. No format_id bump (deflate is transparent on read).\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "perf(slp): gzip-compress mask_rle and roi_wkb datasets (Python #464, …",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-24T23:50:21Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "cf99e36d82b8b522958f09ef0e48cc5eff21a736",
          "body": "…hon #476) (#161)\n\nPorts Python sleap-io #476: _getEffectiveShape resolves through the nearest video.sourceVideo (returning the first known shape) instead of the originalVideo root, so embedded-subset → restored-source matching works when the deeper root shape is unknown. Still gated by isSameFile.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "fix(matching): resolve effective shape through sourceVideo chain (Pyt…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-24T23:49:52Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "44967d83b1241b393e4b9ed1c6c141a6742c8838",
          "body": "Ports Python sleap-io #462 (auto-draw SegmentationMask overlays) and #470 (color masks/ROIs/bboxes by track identity). Closes #162.\n\nrenderVideo threads a global Labels.tracks index map so overlay colors are stable across frames (mirrors Python render_video _track_idx_map); hasTracks aligned to trac\n[…]\n-sampling test covering the order-swap flicker regression.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "fix(render): auto-draw + track-color segmentation masks (#180)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-24T23:15:24Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "ac2e90b10cd249be7ffff590151e474cb2af2642",
          "body": "… warning (#182)\n\nPorts Python sleap-io #449 (flip Labels.merge track-matching default from name to identity) and #448 (warn on spatially-divergent track-name collisions). Closes #151.\n\nBREAKING CHANGE: Labels.merge now matches tracks by identity, not name, by default. Pass track: \"name\" to restore the previous name-based merging.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "feat(merge)!: default track matching to identity + spatial-divergence…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-24T23:13:00Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "4509f40ead6fbc15f1c8371673f0b7e2a04af9ae",
          "body": "…erge (#181)\n\nPorts Python sleap-io #489 (reorder points by node name when merging instances whose skeletons differ in node order) and #491 (preserve from_predicted provenance across merge copy paths).\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "fix(merge): preserve point order + from_predicted provenance across m…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-24T23:09:56Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "1bc5579973633cc73811b061128d32c6810787f5",
          "body": "Fills in the squash-merge SHA of #178's whole-tree Biome reformat so `git blame` skips it.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "chore: record Biome reformat commit in .git-blame-ignore-revs (#179)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-24T18:43:18Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "1fb4619d7bb736184c736635877efc2a7b25af17",
          "body": "Follow-up to #177: flip formatter.enabled to true and apply Biome formatting across src/ and tests/ in one mechanical, behavior-preserving pass (2-space indent, 80-col, double quotes, semicolons, trailing commas). No logic changes; tsc, build, check:pack, and all 1560 tests pass.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "style: enable Biome formatter and reformat src + tests (#178)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-24T18:40:38Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "85c96e639ac2cba033aa4f75c2184d6c35da975d",
          "body": "Closes the remaining gaps so Bun is the single dev toolchain, and adds Biome as a linter (lint-only; formatter deferred to a follow-up PR).\n\n- Single-source Bun pin (packageManager + setup-bun bun-version-file) with a consumer-safe preinstall guard\n- Scoped test scripts; add check:pack (publint + at\n[…]\nReturn, noAssignInExpressions, noImplicitAnyLet)\n- formatter.enabled:false — whole-repo reformat deferred to a dedicated follow-up\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "build(bun): finalize Bun-only toolchain and add Biome lint (#177)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-24T18:14:45Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "8427072db09d98489e0d627e85acd4ba67142753",
          "body": null,
          "is_bot": false,
          "headline": "Bump version to 0.4.1 (#175)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-06-18T21:59:32Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "712d0c38c5b8a61c013a192ae968771608734410",
          "body": "…174)\n\nImageVideoBackend read one image per displayed frame with only a small\nFIFO decoded cache and no read-ahead, so scrubbing/stepping/playback\nre-read and re-decoded frames repeatedly.\n\n- Add a byte-budgeted LRU cache (LruCache) used as a two-tier cache: a\n  large raw-bytes tier (kills network r\n[…]\n the same frame are\n  coalesced via an in-flight map.\n\nTests: lru-cache (7), two-tier cache (4), prefetch policy + mechanism (10).\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(video): two-tier frame cache + prefetch for ImageVideoBackend (#…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-06-18T20:29:14Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "0fbed1628cee10d71102b2c856d43199e403b113",
          "body": "Image-sequence videos (Python `ImageVideo`) serialize the full ordered\nimage list under `backend.filenames` (plural) plus only the first image\nunder the singular `backend.filename`. Both readers — `parseVideosMetadata`\n(streaming) and `readVideos` (eager) — read only the singular field, so an\nN-imag\n[…]\nhe fixture is a 3-image sequence). Verified\non a real 14-video ImageVideo .slp — frame counts now 11041/867/2560/...\ninstead of 1.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(video): read the full image list for image-sequence videos (#173)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-06-17T23:03:36Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "31932ba655062a4a003af543c08a2750ebeb498f",
          "body": "…P video loading (#171)\n\nAdds the missing image-sequence video backend (Python `ImageVideo` parity) and\nmakes `.slp` video-backend loading crash-resistant. Before this, a `.slp` whose\nvideo is an image sequence (`filename` is a list, or a single image path)\naborted the WHOLE load: createVideoBackend\n[…]\nap-app Tauri reader + \"Locate image folder\" UX (PR2),\nbrowser folder-picker resolver, wasm TIFF decoder, `.avi`/`.mpeg` transcode.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(video): ImageVideoBackend (image-sequence decode) + resilient SL…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-06-16T22:01:31Z",
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        },
        {
          "oid": "8bb344337c02d0da3408586383b64cb9e6e373b3",
          "body": "…be (#172)\n\nResolve the embedded pkg.slp frame count synchronously from `frame_numbers`\nmetadata instead of a per-image decode probe, so the Videos-panel Frames count\nno longer depends on a fragile vlen image decode — which intermittently failed on\nWindows WebView2 and showed 0 for many videos.\n\n- N\n[…]\n channel count instead of hardcoded RGBA-4.\n\nVerified: unit tests + real 30-video pkg.slp (Node, no decode) + Windows desktop E2E.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(video): resolve embedded pkg.slp frame count without a decode pro…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-06-16T00:54:39Z",
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        },
        {
          "oid": "906ecf3f56ff2ac61c9f1e287f53983a53663819",
          "body": "The \"drop\" analog of replaceVideos: remove one or more videos and every\nreference to them across the Labels object. Labeled frames and suggestions for\na removed video are dropped (a frame's ROIs go with it), as are static ROIs\n(_staticRois) that reference it; the frame/track indices are then invalid\n[…]\n+ isolation, null-video ROI preserved, frame-index rebuild,\nunknown-video no-op, empty no-op, batch removal, skeletons untouched).\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(model): add Labels.removeVideo / removeVideos (#166) (#170)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-06-10T21:21:10Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "f091eced1b10dc27a3d269768396a0bca7aca0c5",
          "body": "Port of Python sleap_io.io.skeleton.SkeletonEncoder. Serializes a Skeleton\n(or list) to the jsonpickle graph format consumed by readSkeletonJson and by\nPyQt SLEAP / Python's SkeletonDecoder, closing the read/write asymmetry\n(readSkeletonJson had no encoder counterpart; YAML already had both).\n\n- Dup\n[…]\nandalone .h5 skeleton I/O) is deferred — PyQt's own .h5 skeleton write\nis a commented-out TODO, so there is no interop target yet.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(codecs): add writeSkeletonJson (jsonpickle encoder) (#167) (#169)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-06-10T21:21:08Z",
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          "is_coding_agent": true
        },
        {
          "oid": "947ce84f45c8ce2e37dacc57ff46cc20f159ae75",
          "body": "…ortedVideoFormatError (#165) (#168)\n\nThe createVideoBackend factory listed \"mpeg\" and \"avi\" in MEDIABUNNY_EXTENSIONS,\nbut MediaBunny has no AVI demuxer and no MPEG program-stream demuxer (only\nMPEG-TS), so those files were handed to a backend that fails opaquely mid-decode\ninstead of erroring clean\n[…]\nects; override escape hatch still reaches MediaBunny.\n\nReal .avi/.mpeg decode (an ffmpeg-class path) is a separate, larger effort.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(video): stop routing .avi/.mpeg to MediaBunny; throw clean Unsupp…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-06-10T19:05:35Z",
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        },
        {
          "oid": "6444f1e5dd8ca9c2830ebb8b00979c0565d7c7ed",
          "body": "…edicted + link-first merge (#157)\n\nPorts the segmentation-mask human-in-the-loop stack from Python sleap-io:\n\n- #472: in-memory PredictedSegmentationMask.toUser() + UserSegmentationMask.fromPredicted provenance.\n- #475: persist fromPredicted to the SLP format (new from_predicted column, format_id 2\n[…]\nusedPredictedMasks + link-first auto-merge for masks.\n\nTargeted suites 109 pass / 0 fail; tsc clean; CI green on ubuntu + windows.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(model,slp): mask human-in-the-loop — toUser() + persisted fromPr…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-06T21:05:45Z",
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        },
        {
          "oid": "bec7a10ca61020f8c43b880d8f3c56ec32e461fa",
          "body": "…(#158)\n\nLegacy PyQt SLEAP pkg.slp files embed images as an H5T_VLEN dataset\n(/videoN/video), one encoded image per element. h5wasm's high-level\ndataset.slice([[i, i+1]]) on such a dataset (N>1) intermittently aborts the\nWASM runtime (\"memory access out of bounds\"): its post-read\nreclaim_vlen_memory\n[…]\nd in\nscratch/vlen/upstream-fix.md; once it ships and the dep is bumped, this manual\nread can be retired in favor of plain slice().\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(video): read vlen embedded frames per-element, no memory blow-up …",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-06T18:20:37Z",
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        {
          "oid": "8a081355f9c50caf8ec349750bd062e2fcb80160",
          "body": "…ices (#155)\n\nRe-expose the embedded `frame_numbers` that the HDF5 readers already parse\nbut kept private, behind a typed public API, so consumers can ask which\nframes of an embedded (pkg.slp) video actually have a stored image.\n\n- VideoBackend: add optional public `frameNumbers?: number[]`.\n- Hdf5V\n[…]\nly additive; no SLP write or serialization change. Powers sleap-app's\n\"navigate imaged frames only\" mode (talmolab/sleap-app#137).\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(video): expose embedded frame numbers via Video.embeddedFrameInd…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-06-04T18:41:18Z",
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        },
        {
          "oid": "e9c7b02bc7573865993f7b9ea9830508e4280e18",
          "body": "…Python PR #438) (#154)\n\nIssue #148 / Python sleap-io PR #438 fixed a jsonpickle SkeletonEncoder\nbug where edge-less (single-node / isolated) skeletons emitted dangling\npy/id refs and round-tripped to EMPTY. The JS port does NOT reproduce\nthis: it has no jsonpickle encoder, and every skeleton serial\n[…]\nts ctor) confirms isolated nodes are preserved.\n\nCo-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "test(skeleton): regression suite for edge-less/isolated nodes (#148, …",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-02T21:19:11Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "100ea9e90a67329cff0ed164645862e6e462856f",
          "body": "Port Python sleap-io's virtual cropping to the JS library: a video can carry\nan axis-aligned, on-read crop that is applied lazily per frame and round-trips\nthrough a new /video_crops SLP dataset (format 2.3), closing a silent data-loss\ngap (a JS reader at format <=2.2 would otherwise load uncropped \n[…]\n + format note. Browser bundle stays skia-free.\n\nCo-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(video): virtual on-read cropping + SLP format 2.3 round-trip (#147)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-02T18:43:30Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "2a8d445001a366e4a64632baf09fc23082bad77e",
          "body": "Port Python sleap-io PR #374 overlay rendering to the JS Node raster path,\nclosing the implementation portion of #96.\n\nNew module src/rendering/overlays.ts (Node-only) implements a faithful port\nof overlays.py + the _apply_overlay dispatcher from core.py:\n\n- drawMasks      — alpha-blend Segmentation\n[…]\nmd with runnable examples and an API reference.\n\nCo-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(rendering): segmentation overlay rendering (Python PR #374) (#146)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-02T13:56:07Z",
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        },
        {
          "oid": "edaee66eefafa3cee8b8297e56195acc20d0eb94",
          "body": "Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Bump version to 0.4.0 (#145)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-30T14:32:27Z",
          "body_truncated": false,
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        {
          "oid": "d7a4f38afad8c9cc1acc0ab7d7bf80c69bc73f8e",
          "body": "…21) (#141)\n\nPort the read path of Python sleap-io's `read_label_images` (tiff.py, PR #421)\nto a new `loadLabelImages()`. Closes the last v0.4.0 parity gap (#110, #140).\n\nTIFF label images are dense integer rasters (one label ID per pixel) from\nsegmentation tools (Cellpose, StarDist, ImageJ, ilastik\n[…]\nation; coverage for multi-channel\nrejection, classes-mode Map categories, directory+frames, out-of-range frames,\nempty directory).\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(io): add TIFF label-image reader loadLabelImages() (Python PR #4…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-30T04:52:47Z",
          "body_truncated": true,
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        {
          "oid": "c3febf52b1720674b5176cf70d4a0c10b3a8fd5b",
          "body": "…n PR #387) (#139)\n\n`LabelImage.fromArray` (the JS counterpart of Python `LabelImage.from_numpy`)\nauto-created one Track per label ID whenever `tracks` was omitted. Python PR #387\nremoved that default — pure segmentation workflows (e.g. Cellpose) produce\ninstances that don't need tracking — and `fro\n[…]\n\n- Tests updated to the new default + an explicit `createTracks` opt-in test;\n  docs note the behavior on the `fromArray` example.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(label-image): no tracks by default in LabelImage.fromArray (Pytho…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-30T03:09:22Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "3b7e27087cf0685da9e1ba85b2d888631172f63f",
          "body": "Native read support for Norpix StreamPix `.seq` files — a high-speed video\nformat common in behavioral neuroscience. `loadVideo(\"recording.seq\")` (Node,\nby path) and a browser `File`/`Blob` both work, no conversion needed. Ports\nPython sleap-io PR #380 (issue #95).\n\n- New `src/video/seq-video.ts` (b\n[…]\no on-disk `.seq-index.json` cache (the\nindex is rebuilt per open); no `grayscale` force option. Both can be added\nlater if needed.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(video): add Norpix .seq video backend (Python PR #380) (#138)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-30T01:29:19Z",
          "body_truncated": true,
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        },
        {
          "oid": "270698d74d6213002ed3a90ddb02759750b7c6e3",
          "body": "Trace a node or centroid trajectory over the last N frames so users can\nsee how animals moved through rendered output. Trails are drawn behind\nthe poses and fade from faint (oldest) to opaque (newest).\n\nThis was the main unported gap remaining in the v0.4.0 release tracking\nissue (#110); the other o\n[…]\nython (intentional, JS-idiomatic): canvas per-segment\nalpha blending instead of skia's kSrc buffer; no CLI (the JS port has none).\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(rendering): port motion-trail overlay (Python PR #434) (#137)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-30T01:01:49Z",
          "body_truncated": true,
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        },
        {
          "oid": "4142f70caad4537c1b42d7e7020a535b9f10fcde",
          "body": "… (#135) (#136)\n\nSwitching videos in a .slp with embedded images froze the UI for 0.5-3.3s per\nswitch: both HDF5 embedded-image backends read, transferred, and magic-byte\nscanned the entire per-video dataset to show one frame, then cached the whole\ndecompressed buffer forever.\n\nRead only the request\n[…]\nded FF D8 FF, sparse frame-number mapping, and a real vlen\npkg.slp) asserting the whole-dataset read is never taken.\n\nCloses #135.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(video): slice one embedded frame instead of reading whole dataset…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T23:30:05Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "8b88f170dc848451ea6397a34095d61058fdd29b",
          "body": "Port the reader half of Python sleap-io's `sleap_io/io/jabs.py` (v0.7.0,\nPR #371) to JS, adding `loadJabs()` for JABS (Jackson Lab Animal Behavior\nSystem) pose files.\n\nNew Node-only module `src/io/jabs.ts` (reads HDF5 via `openH5File`/h5wasm,\nexported from `src/index.ts`, not the browser bundle):\n\n-\n[…]\nest_v5.h5` (multi-mouse, 250 frames, arena corners)\nfixtures copied verbatim from the Python repo. Docs updated (README + api.md).\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(io): port JABS pose-file reader (#99) (#134)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T19:20:14Z",
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        },
        {
          "oid": "a02086dc8daa8d02a18ebd4b686938a981f13c5c",
          "body": "Port Python sleap-io's `sleap_io/io/ultralytics.py` (v0.7.x, PR #395) to JS,\nadding detection + segmentation + pose support for Ultralytics YOLO datasets.\n\nNew module `src/io/ultralytics.ts` (Node-only, like `io/trackmate.ts`):\n\n- `loadUltralytics` / `readLabels` — read a dataset (data.yaml + images\n[…]\nencoder coverage. Fixture dataset copied verbatim\nfrom the Python repo (`tests/data/ultralytics`). Docs updated (README + api.md).\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(io): port Ultralytics YOLO reader/writer (#100) (#133)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T18:50:07Z",
          "body_truncated": true,
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        },
        {
          "oid": "a676d4c75da50b16f0833c8b9cff84d1a7b37fbf",
          "body": "…#130)\n\nMigrates the dev toolchain from npm + Vitest to Bun (bun@1.3.14) as package\nmanager, script runner, and test runner. The npm publish step (OIDC trusted\npublishing / provenance) is retained in release.yml.\n\n- packageManager bun@1.3.14; test -> `bun test --parallel`, test:coverage ->\n  `bun te\n[…]\nnd analysis-h5 writes (Bun does not pre-create it).\n- Docs: README + new CONTRIBUTING.md document the Bun toolchain.\n\nCloses #130.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "build: migrate from npm to Bun (package manager + test runner + CI) (…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T17:36:22Z",
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        },
        {
          "oid": "34d4c013911718da1076820caa9cdee1e2b7042d",
          "body": "…) (#131)\n\n* feat(io): port SLEAP Analysis-HDF5 (.analysis.h5) reader+writer (#104)\n\nPort `sleap_io/io/analysis_h5.py` (read_labels/write_labels/\nis_analysis_h5_file) plus the `to_analysis_arrays` array builder from\n`sleap_io/codecs/numpy.py` to TypeScript, with exact Python parity.\n\nNew `src/io/ana\n[…]\nysis-h5.test.ts both green\n(63 tests); tsc clean.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(io): port SLEAP Analysis-HDF5 (.analysis.h5) reader+writer (#104…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T17:17:27Z",
          "body_truncated": true,
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        },
        {
          "oid": "c4b25e07f7589dd1805dd38521a20c24614d5be1",
          "body": "…thon PR #436) (#129)\n\nCompletes Python PR #436: matchVideo() shipped in #127; this widens the lookup APIs to resolve foreign video references.\n\n- Add private sync Labels._resolveVideo (identity -> strict-path -> basename, raising on ambiguity; no-match returns a usable Video so lookups yield empty)\n[…]\nhich matchesPath(strict) already does), so the lookups stay sync. 21 new parity tests; full suite 1033 passing, 1 skipped.\n\nCloses #107.\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)",
          "is_bot": false,
          "headline": "feat(labels): widen lookups to accept Video | string | URL (#107 / Py…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T05:08:20Z",
          "body_truncated": true,
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        },
        {
          "oid": "06ecf1f7796d5b4a96ecef5e6178bd35971ea8cb",
          "body": "…2) (#128)\n\nAdds end-to-end Labels.merge assertions for #108 (PR #432) — the fix already shipped with the merge subsystem (#127); these pin the behavior as a named regression suite:\n- non-colliding incoming negative frame -> appended with isNegative preserved\n- colliding both/one negative + no user \n[…]\n user pose -> flag cleared + negative_flag_conflict\n- colliding negative + predicted-only -> not vetoed\n\nSuite: 1012 passing, 1 skipped.\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)",
          "is_bot": false,
          "headline": "test(merge): end-to-end isNegative preservation (#108 / Python PR #43…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T04:11:51Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "d1752391a83b0a812b5f215d5f3ffba99cac17cc",
          "body": "…parity (#90) (#127)\n\nPorts the entire sleap-io Python merge/matching subsystem to TypeScript with exact behavioral parity (Python @ 054cce39f).\n\n- src/model/matching.ts: 6 enums, 4 matchers (SkeletonMatcher/InstanceMatcher/TrackMatcher/VideoMatcher incl. AUTO 6-stage cascade + pose/image matching),\n[…]\nl validated). Fixes: Instance.overlapsWith strict-intersection short-circuit; node:fs kept out of the browser bundle (#70).\n\nCloses #90.\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)",
          "is_bot": false,
          "headline": "Port Labels.merge/match/clean + matching subsystem with exact Python …",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T03:52:30Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "cfbf1413e13abb5a81b4a4b7e6e2b74ce3a035d4",
          "body": "Patch release: streaming SLP reader fixes and two small enhancements.\nSee the v0.3.1 release notes for details.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Bump version to 0.3.1 (#126)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T00:25:14Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "b4c6e0daa97c07b85e9ce1cca5edecd20ba1e71e",
          "body": "…) (#125)\n\nThe previous change removed the npm upgrade step entirely, but it was\nload-bearing: this repo uses npm trusted publishing (OIDC, tokenless),\nwhich requires npm >= 11.5.1. Node 22 bundles npm 10.x, which can sign\nprovenance but cannot authenticate via OIDC — so `npm publish` returns\na 404 \n[…]\n of @latest, since a transiently broken @latest (missing\npromise-retry module) is what caused the original v0.3.0 publish to fail.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(ci): pin npm 11.16.0 for trusted publishing (restore upgrade step…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T00:22:27Z",
          "body_truncated": true,
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        },
        {
          "oid": "80f5cd0160162f2cb7004f065d725b3d3bc55926",
          "body": "The v0.3.0 release failed to publish to npm: the \"Update npm\" step\n(`npm install -g npm@latest`) crashed with `Cannot find module\npromise-retry` from a broken npm@latest, so `npm publish` never ran\nand npm stayed at 0.2.3.\n\n- Remove the fragile `npm install -g npm@latest` step; Node 22 ships\n  npm 1\n[…]\nef`) so a failed or\n  missed publish can be re-run for any tag from the fixed workflow on\n  the default branch, without retagging.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(ci): make release publish robust and re-runnable (#124)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T00:17:44Z",
          "body_truncated": true,
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          "oid": "5bbba15ca6260395abf68392146b898f28bb36b6",
          "body": "…) (#122)\n\nFiles written by sleap-io.js store compound data as flat arrays with a\nfield_names HDF5 attribute (JSON string). The streaming reader only\nchecked dtype metadata for field names, never the attribute — causing\n0 labeled frames when reopening sleap-app-saved files.\n\nAdds attribute fallback \n[…]\nder's getFieldNames fallback chain (read.ts:1356-1372).\n\nCloses #120\nSee also: PR #106 (closed, contained original implementation)\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix: read field_names JSON-string attribute in streaming reader (#120…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-05-28T18:49:44Z",
          "body_truncated": true,
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          "oid": "0c4f1de35a7c273e548ece2186079df2f15bfa7c",
          "body": "The streaming reader's getFieldNamesFromMeta fix (the Array.isArray\nbranch added in this PR) guards a silent-failure path: a regression\nwould drop all frames/instances/points with no thrown error. The\nstreaming path is browser/Worker-gated and unreachable from the\nall-Node test suite, so add a focus\n[…]\n.10.x emits for the\n  repo Python fixtures) plus regression guards for the legacy\n  string-repr and object-compound_type branches.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "test: cover h5wasm 0.10.x array-of-pairs compound dtype branch (#121)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-28T18:21:37Z",
          "body_truncated": true,
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          "oid": "d7a62506c79a30de1ab5fd25417361d1a838c555",
          "body": "Two changes to match Python sleap-io's lazy shape behavior for embedded videos:\n\n1. Read height/width/channels from HDF5 dataset attributes when JSON\n   metadata is missing (common for pkg.slp files). Allows shape to be\n   partially set ([0, H, W, C]) even before frame data is loaded.\n\n2. Add probeS\n[…]\nthe frame count for correct seekbar range.\n   Shares the cachedData loading path with getFrame to avoid double-reads.\n\nCloses #117\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix: lazy video shape probing for pkg.slp embedded videos (#117) (#119)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-05-28T18:12:26Z",
          "body_truncated": true,
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          "oid": "861b8deb60acb94b7970eb783840025dee4abe8b",
          "body": "h5wasm 0.10.x returns compound dataset dtypes as an array of\n[name, type] pairs (e.g., [[\"frame_id\", \"<Q\"], [\"video\", \"<I\"]]).\ngetFieldNamesFromMeta only handled the older string and\nobject-with-compound_type formats, returning [] for the new format\nand causing 0 labeled frames in the streaming reader.\n\nCloses #113\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix: handle h5wasm 0.10.x array-of-pairs compound dtype format (#114)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-05-28T18:11:38Z",
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        {
          "oid": "89ba1608b2fd639db2aa2b5304c3ce648ac51f6b",
          "body": "* feat(labels): add dedupSkeletons() helper (#103)\n\nAdds Labels.dedupSkeletons() as an opt-in helper for collapsing\ncontent-equal skeletons that appear in legacy .slp files (pre-1.5\nPython sleap's identity-based Labels.update() accumulated a fresh\nSkeleton per inference run).\n\nPartitions Labels.skel\n[…]\nirst) skeleton wins and the others are discarded.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(labels): add dedupSkeletons() helper (#103) (#118)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-28T17:35:13Z",
          "body_truncated": true,
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        },
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          "oid": "fb865c80a4fa478bd5099a7398096e964609399b",
          "body": "* feat(numpy): add numFrames option to Labels.numpy() and toNumpy()\n\nAdds an optional `numFrames?: number` parameter to `Labels.numpy()`,\n`LazyDataStore.toNumpy()`, and the `toNumpy` codec wrapper. The override\nsets the output's frame dimension explicitly, taking precedence over\n`video.shape[0]`. Un\n[…]\nilently-truncated or RangeError-throwing outputs.\n\nCo-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(numpy): add numFrames option to Labels.numpy() and toNumpy() (#116)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-27T23:41:21Z",
          "body_truncated": true,
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          "oid": "bed6b68709b1da7caeafc9609f99f472738f482d",
          "body": "…, #421) (#115)\n\nCloses #109. Two of the four upstream fixes are JS-architectural no-ops; the\nother two are real fixes with test coverage.\n\n- #414 (lazy static-ROI video association): already preserved in JS via\n  Side fix B at write.ts:359-367. Existing coverage at\n  tests/lazy-write.test.ts \"prese\n[…]\nro-value inputs (e.g. [0, 5, 5]\n  meaning \"one object at class 5\") are still accepted and binarized by\n  encodeRle's truthy check.\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix: port Python sleap-io v0.7.0 correctness bundle (#414, #419, #420…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-27T21:50:00Z",
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          "oid": "913c630a430a184ca65148b765bb2f6131d2e96d",
          "body": "Closes #105.\n\nEnables reading embedded video frames from `.pkg.slp` files in the browser, plus follow-up correctness fixes surfaced in review.\n\n## Primary changes (browser-side embedded video)\n- Bump h5wasm `0.8.8` → `0.10.2` (libhdf5 1.14.6 → 2.0.0). Fixes \"incorrect metadata checksum\" and \"bad obj\n[…]\np-node,upload-artifact}` to clear the Node 20 deprecation warning surfaced on every CI run.\n\nPart of the v0.4.0 catch-up release (#110).\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)",
          "is_bot": false,
          "headline": "fix: support pkg.slp embedded video frames in browser (#111)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-27T21:20:58Z",
          "body_truncated": true,
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        {
          "oid": "d7c1165c804135a7818e75534ccbc7e44e9c81df",
          "body": "- api.md: Note ROI.video retention vs frameIdx removal\n- index.md: Fill format version gaps (2.0 corner bboxes, 2.2 chunked label images)\n- lite.md: Clarify pako stays out of the lite bundle\n- demo.md: Link to demo source on GitHub\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "docs: Minor cleanups from v0.3.0 audit (#102)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-04-13T21:42:23Z",
          "body_truncated": false,
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        },
        {
          "oid": "7bc1108134c749069f3f3002b66609747dc9935b",
          "body": "* docs: Refresh for v0.3.0 API changes\n\nFixes broken copy-paste examples and fills missing coverage across\nREADME.md, docs/api.md, and docs/usage.md to match the v0.3.0 API\nsurface. Two systemic patterns from PR #94 (removed video/frameIdx\nfrom annotation constructors; removed Labels.add*() helpers \n[…]\npe-only import for type-safe strategy call sites.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "docs: Refresh for v0.3.0 API changes (#101)",
          "author_name": "Talmo Pereira",
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          "committed_at": "2026-04-13T21:24:31Z",
          "body_truncated": true,
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          "oid": "9e3e1b8d59b2ee18ea49f9dab04a74b511d04506",
          "body": "…bjects (#94)\n\n* Port Python sleap-io PR #411: Remove video/frameIdx from annotation objects\n\nRemove video and frameIdx attributes from Centroid, BoundingBox,\nSegmentationMask, and LabelImage so annotations derive spatial-temporal\ncontext from their parent LabeledFrame. Remove frameIdx from ROI (kee\n[…]\ncross-library bug filed as talmolab/sleap-io#413.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Port Python sleap-io PR #411: Remove video/frameIdx from annotation o…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-04-13T12:59:33Z",
          "body_truncated": true,
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          "oid": "4d941983b611582fa54c2a05561656b8535edff5",
          "body": "_mergeAnnotations() now respects the frame merge strategy for each\nannotation modality independently. auto and update_tracks strategies\nuse spatial matching (centroid distance) for annotations, mirroring\nthe same resolution cascade used for pose instances.\n\nAdds 4 module-level helpers (_annotationCe\n[…]\nresolveAnnotationUpdateTracks) and 20 new tests\ncovering all 6 strategies across centroids, bboxes, masks, ROIs, and\nlabel images.\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Port Python sleap-io PR #408: Strategy-aware annotation merging (#93)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-04-09T17:21:09Z",
          "body_truncated": true,
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          "oid": "0202908e7115ae613d1b1abd92b4b6ad545080bc",
          "body": "…e corruption in merge (#92)\n\n- Shallow-copy annotations in _mergeAnnotations() to prevent source\n  corruption when references are later remapped\n- Add _checkNotLazy() guards to getFrame() and getTrackAnnotations()\n- Add Labels.removePredictions() with index invalidation\n- Fix removePredictions inst\n[…]\n filter (PredictedInstance extends Instance)\n- Add staleness notes to index-backed lookup docstrings\n\nCloses talmolab/sleap-io#404\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Port Python sleap-io PR #407: Index staleness, lazy guards, and sourc…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-04-09T04:43:03Z",
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          "oid": "42a933bf042095cc48c147f41f26ba44df503aa6",
          "body": "…(#91)\n\n* Port Python sleap-io PR #403: Frame and track indices for O(1) lookups\n\nAdd lazy-built Map indices to Labels for fast frame and track queries:\n- Frame index: Map<Video, Map<number, LabeledFrame>> with O(1) lookup\n  via getFrame(). Auto-rebuilds when labeledFrames length changes.\n- Track in\n[…]\nin #90 since those methods don't exist in JS yet.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Port Python sleap-io PR #405: Optimize rendering track index lookups …",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-04-08T04:26:58Z",
          "body_truncated": true,
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          "oid": "8a31170bddc20a0803f1774da84e6a698db5fc7a",
          "body": "…s (#89)\n\nAdd lazy-built Map indices to Labels for fast frame and track queries:\n- Frame index: Map<Video, Map<number, LabeledFrame>> with O(1) lookup\n  via getFrame(). Auto-rebuilds when labeledFrames length changes.\n- Track index: Map<Video, Map<Track, Annotation[]>> with O(1) lookup\n  via getTrac\n[…]\nidation after batch mutations.\n- Invalidate indices in append(), _addAnnotation(), replaceVideos().\n\nCloses talmolab/sleap-io#150.\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Port Python sleap-io PR #403: Frame and track indices for O(1) lookup…",
          "author_name": "Talmo Pereira",
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          "committed_at": "2026-04-07T20:37:56Z",
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          "oid": "1d288ec13f06fe01a6e07b2a24b3ef4140063469",
          "body": "* Port Python sleap-io PR #402: Nest annotations in LabeledFrame\n\nMove annotations (centroids, bboxes, masks, labelImages, rois) from flat\nlists on Labels to per-frame lists on LabeledFrame, enabling O(1)\nframe-level annotation access for interactive proofreading.\n\nKey changes:\n- LabeledFrame: Add 5\n[…]\nary frame negative indexing in LazyFrameList.at()\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Port Python sleap-io PR #402: Nest annotations in LabeledFrame (#88)",
          "author_name": "Talmo Pereira",
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          "committed_at": "2026-04-07T17:40:13Z",
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          "oid": "a9d4619a8e95af3b4ba6cd337cf89d89f478c297",
          "body": "…) (#87)\n\n* feat: add LazyDataStore.copy() for lazy-aware deep copying\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n* feat: add Labels.replaceVideos() to remap video references\n\nPorts Python sleap-io's replace_videos() method. Updates video references\nacross all 8 collectio\n[…]\nption for controlling backend behavior on copies.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Port Python sleap-io PR #401: Labels.copy() and Labels.replaceVideos(…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
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          "body": "…eader (#86)\n\n* Port Python sleap-io PRs #397, #399: Centroid model + TrackMate CSV reader\n\nAdds first-class Centroid data model (Centroid, UserCentroid, PredictedCentroid)\nwith Instance interconversion and SLP persistence. Backfills trackingScore onto\nall annotation types (BoundingBox, ROI, Segment\n[…]\nTrackMate and centroid usage examples to usage.md\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Port Python sleap-io PRs #397, #399: Centroid model + TrackMate CSV r…",
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          "login": "talmo",
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          "avatar_url": "https://avatars.githubusercontent.com/u/3187454?v=4"
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        {
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          "avatar_url": "https://avatars.githubusercontent.com/u/107519741?v=4"
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          "type": "User",
          "login": "ericleonardis",
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        "docs.yml",
        "pr-preview.yml",
        "release.yml"
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      "linter_configs": [
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      "has_linter_config": true,
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        "checks": [
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#binary-artifacts"
          },
          {
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            "reason": "internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#branch-protection"
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          {
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#ci-tests"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#cii-best-practices"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#code-review"
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          {
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#contributors"
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          {
            "name": "Dangerous-Workflow",
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            "reason": "no dangerous workflow patterns detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dangerous-workflow"
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            "name": "Dependency-Update-Tool",
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            "reason": "no update tool detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dependency-update-tool"
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            "name": "Fuzzing",
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            "reason": "project is not fuzzed",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#fuzzing"
          },
          {
            "name": "License",
            "score": 10,
            "reason": "license file detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#license"
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          {
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          {
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            "reason": "packaging workflow detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#packaging"
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            "reason": "dependency not pinned by hash detected -- score normalized to 0",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#pinned-dependencies"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#sast"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#security-policy"
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            "reason": "detected GitHub workflow tokens with excessive permissions",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#token-permissions"
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            "name": "Vulnerabilities",
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            "reason": "9 existing vulnerabilities detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#vulnerabilities"
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          "number": 230,
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        {
          "number": 237,
          "created_at": "2026-07-20T23:00:52Z",
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          "last_comment_author": null
        },
        {
          "number": 239,
          "created_at": "2026-07-21T17:37:53Z",
          "last_comment_at": null,
          "last_comment_author": null
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  "metrics": {
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      "key": "overall",
      "band": "moderate",
      "name": "Overall health",
      "note": null,
      "notes": [],
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        "weight": 0.18,
        "metrics": [
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              "growth_unverified_reason": "no_history"
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                "key": "stars",
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                "key": "forks",
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              {
                "key": "watchers",
                "name": "Watchers",
                "detail": "0 watchers",
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                "status": "missed",
                "details": [
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          {
            "key": "community_health",
            "band": "good",
            "name": "Community health",
            "note": null,
            "notes": [],
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            "inputs": {
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              "has_contributing": true,
              "has_issue_template": false,
              "has_code_of_conduct": false,
              "has_pull_request_template": false
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            "components": [
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                "points": 22.5,
                "status": "met",
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                "key": "license",
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                "detail": "recognized license (BSD-3-Clause)",
                "points": 22.5,
                "status": "met",
                "details": [
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                "points": 18,
                "status": "met",
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                "name": "Code of conduct",
                "detail": null,
                "points": 0,
                "status": "missed",
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                "points": 0,
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                "key": "pr_template",
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                "points": 0,
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            "notes": [
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            "inputs": {
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              "monthly_downloads": 2054
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                "points": 44.2,
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        "weight": 0.24,
        "metrics": [
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            "notes": [],
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                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "responsiveness",
            "band": "good",
            "name": "Issue & PR responsiveness",
            "note": null,
            "notes": [],
            "value": 78,
            "inputs": {
              "merged_prs": 168,
              "open_issues": 9,
              "closed_issues": 58,
              "issue_closed_ratio": 0.866,
              "closed_unmerged_prs": 4
            },
            "components": [
              {
                "key": "issue_resolution",
                "name": "Issue resolution",
                "detail": "87% of issues closed",
                "points": 40.5,
                "status": "partial",
                "details": [
                  {
                    "code": "issues_closed_share",
                    "params": {
                      "share": 87
                    }
                  }
                ],
                "max_points": 46.75
              },
              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
                "detail": "168/172 decided PRs merged",
                "points": 37.4,
                "status": "partial",
                "details": [
                  {
                    "code": "decided_prs_merged",
                    "params": {
                      "merged": 168,
                      "decided": 172
                    }
                  }
                ],
                "max_points": 38.25
              },
              {
                "key": "openssf_scorecard_code_review",
                "name": "OpenSSF Scorecard: Code-Review",
                "detail": "Found 1/30 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              }
            ]
          },
          {
            "key": "stewardship",
            "band": "moderate",
            "name": "Ownership & stewardship",
            "note": null,
            "notes": [],
            "value": 66,
            "inputs": {
              "followers": 76,
              "owner_type": "Organization",
              "is_verified": null,
              "owner_login": "talmolab",
              "public_repos": 93,
              "account_age_days": 1725
            },
            "components": [
              {
                "key": "ownership_backing",
                "name": "Ownership backing",
                "detail": "organization-owned",
                "points": 30,
                "status": "met",
                "details": [
                  {
                    "code": "owner_organization",
                    "params": {}
                  }
                ],
                "max_points": 30
              },
              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "76 followers of talmolab",
                "points": 13.6,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_followers",
                    "params": {
                      "count": 76,
                      "login": "talmolab"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "93 public repos, account ~4 yr old",
                "points": 22.4,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 93
                    }
                  },
                  {
                    "code": "account_age_years",
                    "params": {
                      "years": 4
                    }
                  }
                ],
                "max_points": 25
              }
            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "packages": [
                "@talmolab/sleap-io.js"
              ],
              "ecosystems": "npm",
              "any_deprecated": false,
              "min_days_since_publish": 6
            },
            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on npm",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "packages_published",
                    "params": {
                      "count": 1,
                      "ecosystems": "npm"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 6 days ago",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "publish_recency",
                    "params": {
                      "days": 6
                    }
                  }
                ],
                "max_points": 35
              },
              {
                "key": "version_history",
                "name": "Version history",
                "detail": "24 published versions",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "published_versions",
                    "params": {
                      "count": 24
                    }
                  }
                ],
                "max_points": 20
              },
              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "package_not_deprecated",
                    "params": {}
                  }
                ],
                "max_points": 20
              }
            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "good",
        "name": "Engineering Quality",
        "value": 82,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "good",
            "name": "Engineering practices",
            "note": null,
            "notes": [],
            "value": 84,
            "inputs": {
              "has_ci": true,
              "has_tests": true,
              "has_editorconfig": false,
              "has_linter_config": true,
              "has_precommit_config": false
            },
            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "4 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 4
                    }
                  }
                ],
                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
                "detail": "biome.json",
                "points": 16,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "biome.json"
                    }
                  }
                ],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "good",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 80,
            "inputs": {
              "topics": [],
              "has_wiki": true,
              "homepage": "http://iojs.sleap.ai/",
              "has_readme": true,
              "has_docs_dir": true,
              "has_description": false
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": "http://iojs.sleap.ai/",
                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
        "value": 54,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "at_risk",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "branch_protection",
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 43,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 16,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 2,
              "scorecard_aggregate": 4.2
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 1/30 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 3 contributing companies or organizations -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "no update tool detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 21 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "9 existing vulnerabilities detected",
                "points": 0.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the npm:@talmolab/sleap-io.js@0.5.6 runtime dependency closure — what installing the published package pulls in — 20 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "npm:@talmolab/sleap-io.js@0.5.6",
                  "assessed": 20
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 20,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 20,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 7
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "moderate",
        "name": "AI Readiness",
        "value": 57,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 1,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "100 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 100,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 54,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": true,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "tsconfig.json"
              ],
              "agent_commit_share": 0.9,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": "biome.json",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "biome.json"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "tsconfig.json",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "tsconfig.json"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "90 of the last 100 commits agent-authored or agent-credited",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "agent_authored_commits",
                    "params": {
                      "count": 90,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "excellent",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 99,
            "inputs": {
              "primary_language": "TypeScript",
              "largest_source_bytes": 177032,
              "source_files_sampled": 246,
              "oversized_source_files": 6
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "TypeScript (statically typed)",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "statically_typed_language",
                    "params": {
                      "language": "TypeScript"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "6/246 source files over 60KB",
                "points": 53.7,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 246,
                      "oversized": 6
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [],
  "report_type": "repository",
  "generated_at": "2026-07-27T17:48:54.140931Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/t/talmolab/sleap-io.js.svg",
  "full_name": "talmolab/sleap-io.js",
  "license_state": "standard",
  "license_spdx": "BSD-3-Clause"
}

评分是信号,而非担保。 评分反映的是 GitHub 上公开可见的实践——不是代码审计,也不是安全保证。

缺失数据将被剔除并重新归一化权重,绝不按零分计。方法论已版本化并公开:指标 v1.13.0、模式 v0.27.0—— 完整方法论 · 指标知识库.

单项结果在整体记录中的位置: 汇总统计npm.