公开记录
软件健康报告模式 0.34.0 · 指标 2.10.0 · 2026-10-08 09:32 UTC

ggozad / haiku.rag

Agentic RAG for local and self-hosted document search: hybrid retrieval, reranking and multimodal RAG on embedded LanceDB, with Docling parsing and an MCP server

PythonMIT★ 622 星标⑂ 52 复刻始于 2024年10月在 GitHub 上查看 ↗
类型命令行工具MCP 服务器库网络服务如何判定
#mcp-server#rag#lancedb#pydantic-ai#docling#ag-ui#agentic-rag#code-execution#code-mode#cross-encoder#document-ai#document-ingestion#document-parsing#hallucination-prevention#multimodal-rag#offline-llm#rag-evaluation#reciprocal-rank-fusion#reranking

ggozad/haiku.rag 的健康指数为 100 分中的 91 分，处于「优秀」区间。 其得分最高的类别是Vitality（100/100），最低的是Security（53/100）。 最近一次更新在今天。 近期的大部分工作由 1 位贡献者完成。

91
总分 / 100
优秀

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，再依据公开记录的分布进行校准，使各等级具有百分位含义；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 34（存在风险）的上限。

91
卓越93-100公开记录中的最高层级（约前 5%）；基本满足所有检验标准
优秀80-92各方面均表现强劲；仅有少量不足
良好65-79健康；不足之处有限且可控
中等50-64可接受，但存在明显不足；建议进行审查
薄弱35-49多个领域存在实质性薄弱环节
存在风险20-34存在重大薄弱环节；采用时应保持审慎
危急1-19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。

加权总体分 77 经校准后在公布的指数量表上为 91（记录校准 2026-08-02）。

所有权

Yiorgis Gozadinos个人账户
183 关注者94 个公开仓库始于 2010年1月haiku

该仓库由个人账户拥有。相较于组织支持的项目，单一所有者项目的延续性风险更高。

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标签
PyPIhaiku.rag0.95.04,2791870 天前ragagentic-ragcitationsdoclingdocument-ingestionembeddingshybrid-searchlancedbmcpmcp-servermultimodal-ragpydantic-airerankingvector-database
PyPIhaiku.rag-slim0.95.05,6811430 天前ragagentic-ragcitationsdoclingdocument-ingestionembeddingshybrid-searchlancedbmcpmcp-servermultimodal-ragpydantic-airerankingvector-database

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？

100卓越 · 占总体的 21%

开发活跃度

100卓越
评分方式
36/36推送新近度 — 最近一次推送于 0 天前
36/36提交节奏 — 52 周中有 52 周有提交
18/18提交量 — 最近一年 2,416 次提交
10/10OpenSSF Scorecard：Maintained — 30 commit(s) and 29 issue activity found in the last 90 days -- score normalized to 10
所用输入
commits_last_year2,416
human_commit_share1
days_since_last_push0
active_weeks_last_year52

发布纪律

100卓越
评分方式
27/27有发布版本 — 已发布 100 个发布版本
36/36发布时效 — 最近一次发布版本于 0 天前
27/27发布节奏 — 约每 1.9 天发布一次
0/10OpenSSF Scorecard：Signed-Releases — 无数据
所用输入
releases_count100
latest_release_tag0.95.0
releases_from_tags否
days_since_latest_release0
mean_days_between_releases1.9
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？

67良好 · 占总体的 17%

流行度与采用

64中等
评分方式
45.3/60星标 — 622 个星标
14.2/25复刻 — 52 个复刻
4.3/15关注者 — 7 位关注者
所用输入
forks52
stars622
watchers7
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（MIT）
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是
has_license是
readme_badges5
has_contributing是
has_issue_template否
has_code_of_conduct否
readme_badge_servicescodecov.io, github.com, shields.io
has_pull_request_template否

生态采用（下载量）

67良好
评分方式
53.3/80月度下载量 — pypi 合计每月 9,960 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
packageshaiku.rag, haiku.rag-slim
dependents—
ecosystemspypi
total_downloads—
monthly_downloads9,960
unverified_packages_excluded—
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？

65良好 · 占总体的 23%

维护者韧性（巴士系数）

33存在风险
评分方式
9/54巴士系数 — 1 位贡献者贡献了半数提交
0.7/22.5提交分布 — 头号贡献者编写了 97% 的提交
13.5/13.5贡献者广度 — 13 位贡献者
10/10OpenSSF Scorecard：Contributors — project has 16 contributing companies or organizations
所用输入
bus_factor1
contributors_sampled13
top_contributor_share0.97

议题与 PR 响应能力

77良好
评分方式
41.8/42议题解决 — 100% 的议题已关闭
28.4/30PR 接受 — 已裁定的 PR 中 483/511 已合并
6.5/13Newcomer PR acceptance — 30 天内首次贡献者的 PR 已合并 2/4
0/15OpenSSF Scorecard：Code-Review — Found 1/13 approved changesets -- score normalized to 0
所用输入
merged_prs483
open_issues1
closed_issues182
prs_merged_7d18
prs_decided_7d19
prs_merged_30d55
prs_decided_30d59
issue_closed_ratio0.995
closed_unmerged_prs28
first_time_authors_30d3
first_time_prs_merged_30d2
first_time_prs_decided_30d4

所有权与托管责任

64中等
评分方式
10/30所有权背书 — 个人（用户）账户
0/20已验证域名 — 不适用于个人账户
16.3/25所有者影响力 — ggozad 有 183 位关注者
25/25既往记录 — 94 个公开仓库，账户约 16 年
所用输入
followers183
owner_typeUser
is_verified—
owner_loginggozad
public_repos94
account_age_days6,109
已排除计分（无数据或不适用）：已验证域名。 其余权重已重新归一化。

软件包维护

100卓越
评分方式
25/25已发布且可解析 — pypi 上有 2 个软件包
35/35发布时效 — 最近一次发布于 0 天前
20/20版本历史 — 187 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
packageshaiku.rag, haiku.rag-slim
ecosystemspypi
any_deprecated否
min_days_since_publish0

工程质量

基础的工程与文档实践是否到位？

96卓越 · 占总体的 19%

工程实践

94卓越
评分方式
24/24CI 工作流 — 6 个工作流
24/24存在测试
16/16Linter 配置 — biome.json, evaluations/pyproject.toml ([tool.ruff]), pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit 钩子
0/6.4.editorconfig
20/20OpenSSF Scorecard：CI-Tests — 9 out of 9 merged PRs checked by a CI test -- score normalized to 10
所用输入
has_ci是
has_tests是
has_editorconfig否
has_linter_config是
has_precommit_config是

文档

100卓越
评分方式
30/30README
25/25文档目录
15/15文档 / 主页站点 — https://ggozad.github.io/haiku.rag/
10/10仓库描述
10/10主题标签 — 19 个主题标签
10/10Wiki
所用输入
topicsmcp-server, rag, lancedb, pydantic-ai, docling, ag-ui, agentic-rag, code-execution, code-mode, cross-encoder, document-ai, document-ingestion, document-parsing, hallucination-prevention, multimodal-rag, offline-llm, rag-evaluation, reciprocal-rank-fusion, reranking
has_wiki是
homepagehttps://ggozad.github.io/haiku.rag/
docs_sitehttps://ggozad.github.io/haiku.rag/
has_readme是
has_docs_dir是
has_description是

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？

53中等 · 占总体的 16%

安全态势

41薄弱
评分方式
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 9 out of 9 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 1/13 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 16 contributing companies or organizations
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 29 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
0/7.5Vulnerabilities — 53 existing vulnerabilities detected
所用输入
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4.1
已排除计分（无数据或不适用）：Signed-Releases。 其余权重已重新归一化。

依赖安全公告

100卓越
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
0/25间接依赖不含已知公告 — 在此范围内，传递依赖集合无法与开发和测试依赖区分
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
advisories65
affected_packages19
assessed_packages1,111
unassessed_packages41
affected_by_severitycritical 2, high 13, moderate 2, low 2
direct_affected_packages0
已排除计分（无数据或不适用）：间接依赖不含已知公告, 没有长期未处理的公告。 其余权重已重新归一化。 已将 1111 个已解析依赖与 OSV 比对。 有 41 项无法评估——没有已解析的版本、生态系统不受支持，或超出所报告的软件包清单。 该仓库未发布任何索引可解析的软件包，因此改为评估仓库依赖图。该图将开发与测试版本固定同交付的依赖混在一起，因此仅对声明的运行时依赖计分；传递性发现仅作为背景信息列出，不计入评分。 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？权重刻意设小（4%）：代理工具链是一项真实的维护信号，但完全不具备的仓库仍可达到 100/100。

69良好 · 占总体的 4%

AI 代理上下文与指引

85优秀
评分方式
45/45代理指令 — AGENTS.md, CLAUDE.md
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 92 次说明了意图（结构化标题或解释性正文）
所用输入
has_llms_txt否
llms_txt_url—
legible_history_share0.92
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes86,491

验证循环（构建 / 测试 / 类型检查）

56中等
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, evaluations/pyproject.toml ([tool.ruff]), pyproject.toml ([tool.ruff])
11/11静态类型检查 — app/frontend/tsconfig.json
10/10可复现环境 — Dockerfile, lockfile
2/10已体现的代理实践 — 最近 100 次提交中有 1 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否
has_tests是
lockfilespnpm-lock.yaml, uv.lock
has_dockerfile是
typed_language否
bootstrap_files—
has_devcontainer否
has_linter_config是
typecheck_configsapp/frontend/tsconfig.json
agent_commit_share0.01
toolchain_manifests—
dependency_bot_commit_share0

面向模型的代码可读性

81优秀
评分方式
27/45可类型检查的代码 — Python，已配置类型检查（app/frontend/tsconfig.json）
54.3/55可控的文件大小 — 采样的 391 个源文件中有 5 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes137,791
source_files_sampled391
oversized_source_files5

机器可读接口

60中等
评分方式
0/40API 模式（OpenAPI/GraphQL/proto）
20/20MCP 服务器
40/40可运行示例 — examples, samples
所用输入
example_dirsexamples, samples
has_mcp_signal是
api_schema_files—
interfaces_expected_ofnetwork-service

关键数据

622GitHub 星标
13贡献者
2,416最近 12 个月提交数
0距最近推送天数
100发布版本数
1巴士系数（bus factor）
1开放议题
PyPI软件包生态系统数

数据采集警告

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'haiku.rag-evals' from its registry
  • deps.dev does not index pypi:haiku.rag@0.95.0; advisories assessed against the repository dependency graph instead

更多细节

Star 与 Fork 历史 0 ★ / 52 ⇿
0Star
52Fork
97发布

每颗 star 和每个 fork 的添加时间，来自 GitHub 并按天汇总。累计增长位于其构成来源——每日新增——的正上方，二者可相互对照：稳定的自然增长与短暂的突增形态截然不同。当这一差别可被衡量时，它会作为增长真实性予以报告。

010203040505062025-062026-022026-10
主版本 0次版本 64修订 33

每个点涵盖 2 天。

OpenSSF Scorecard 4.1 / 10
4.1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 · 2026-10-08 09:31 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests9 out of 9 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 1/13 approved changesets -- score normalized to 0
10Contributorsproject has 16 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 29 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
0Vulnerabilities53 existing vulnerabilities detected
直接依赖 30
注册表软件包版本约束清单文件
PyPIhaiku.rag-slim—evaluations/pyproject.toml
PyPIpydantic-ai-slim>=1.81.0evaluations/pyproject.toml
PyPIbeautifulsoup4>=4.12.0evaluations/pyproject.toml
PyPIdatasets>=4.6.1evaluations/pyproject.toml
PyPIhuggingface_hub>=0.20.0evaluations/pyproject.toml
PyPItyper>=0.21.0,<0.22.0evaluations/pyproject.toml
PyPIpython-dotenv>=1.2.2evaluations/pyproject.toml
PyPItypesafe-sdk>=0.7.0evaluations/pyproject.toml
PyPIcharset-normalizer>=3.4.0haiku_rag_slim/pyproject.toml
PyPIdocling-core==2.93.0haiku_rag_slim/pyproject.toml
PyPIhttpx>=0.28.1haiku_rag_slim/pyproject.toml
PyPIjinja2>=3.1.0haiku_rag_slim/pyproject.toml
PyPIfastmcp>=4.0.2,<5.0.0haiku_rag_slim/pyproject.toml
PyPIlancedb==0.39.0haiku_rag_slim/pyproject.toml
PyPIopentelemetry-api>=1.44.0haiku_rag_slim/pyproject.toml
PyPIpylance==12.0.0haiku_rag_slim/pyproject.toml
PyPIpathspec>=1.0.4haiku_rag_slim/pyproject.toml
PyPIpydantic>=2.12.5haiku_rag_slim/pyproject.toml
PyPIpydantic-ai-slim>=2.40.0,<3.0.0haiku_rag_slim/pyproject.toml
PyPIpydantic-monty>=1.0.0,<1.1.0haiku_rag_slim/pyproject.toml
PyPIpyarrow>=16,<25haiku_rag_slim/pyproject.toml
PyPIpypdfium2>=5.0haiku_rag_slim/pyproject.toml
PyPIpython-dotenv>=1.2.2haiku_rag_slim/pyproject.toml
PyPIpyyaml>=6.0.3haiku_rag_slim/pyproject.toml
PyPIrich>=14.3.3haiku_rag_slim/pyproject.toml
PyPItextual-image>=0.8.5haiku_rag_slim/pyproject.toml
PyPItyper>=0.21.0,<0.27.0haiku_rag_slim/pyproject.toml
PyPIwatchfiles>=1.1.1haiku_rag_slim/pyproject.toml
PyPIzstandard>=0.23.0haiku_rag_slim/pyproject.toml
PyPIhaiku.rag-slim==0.95.0pyproject.toml
全部依赖 1,152

来自 GitHub 依赖图的完整解析依赖集合：48 个直接依赖与 1,104 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
PyPIbeautifulsoup4—直接
PyPIbeautifulsoup44.14.3直接
PyPIcharset-normalizer—直接
PyPIcharset-normalizer3.4.6直接
PyPIdatasets—直接
PyPIdatasets5.0.1直接
PyPIdocling-core2.93.0直接
PyPIfastmcp—直接
PyPIfastmcp4.0.2直接
PyPIhaiku-rag-slim—直接
PyPIhaiku-rag-slim0.95.0直接
PyPIhttpx—直接
PyPIhttpx0.28.1直接
PyPIhuggingface-hub—直接
PyPIhuggingface-hub1.24.0直接
PyPIjinja2—直接
PyPIjinja23.1.6直接
PyPIlancedb0.39.0直接
PyPIopentelemetry-api—直接
PyPIopentelemetry-api1.44.0直接
PyPIpathspec—直接
PyPIpathspec1.0.4直接
PyPIpyarrow—直接
PyPIpyarrow23.0.1直接
PyPIpydantic—直接
PyPIpydantic2.12.5直接
PyPIpydantic-ai-slim—直接
PyPIpydantic-ai-slim2.40.0直接
PyPIpydantic-monty—直接
PyPIpydantic-monty1.0.0直接
PyPIpylance12.0.0直接
PyPIpypdfium2—直接
PyPIpypdfium25.6.0直接
PyPIpython-dotenv—直接
PyPIpython-dotenv1.2.2直接
PyPIpyyaml—直接
PyPIpyyaml6.0.3直接
PyPIrich—直接
PyPIrich14.3.3直接
PyPItextual-image—直接
PyPItextual-image0.8.5直接
PyPItyper—直接
PyPItyper0.21.2直接
PyPItypesafe-sdk—直接
PyPItypesafe-sdk0.7.1直接
PyPIwatchfiles—直接
PyPIwatchfiles1.1.1直接
PyPIzstandard0.25.0直接
npm@0no-co/graphql.web1.3.3间接
npm@a2ui/web_core0.10.4间接
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npmlayout-base2.0.1间接
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npmlit3.3.3间接
npmlit-element4.2.2间接
npmlit-html3.3.3间接
npmlodash-es4.18.1间接
npmlodash.clonedeep4.5.0间接
npmlodash.get4.4.2间接
npmlodash.includes4.3.0间接
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npmlodash.isnumber3.0.3间接
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npmlodash.isstring4.0.1间接
npmlodash.once4.1.1间接
npmlongest-streak3.1.0间接
npmloose-envify1.4.0间接
npmlru-cache10.4.3间接
npmlru-cache11.5.2间接
npmlru-memoizer3.0.0间接
npmlucide0.525.0间接
npmlucide-react0.525.0间接
npmlucide-react0.542.0间接
npmmarkdown-table3.0.4间接
npmmarked12.0.2间接
npmmarked16.4.2间接
npmmath-intrinsics1.1.0间接
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npmmdast-util-from-markdown2.0.3间接
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npmmdast-util-gfm-autolink-literal2.0.1间接
npmmdast-util-gfm-footnote2.1.0间接
npmmdast-util-gfm-strikethrough2.0.0间接
npmmdast-util-gfm-table2.0.0间接
npmmdast-util-gfm-task-list-item2.0.0间接
npmmdast-util-math3.0.0间接
npmmdast-util-mdx-expression2.0.1间接
npmmdast-util-mdx-jsx3.2.0间接
npmmdast-util-mdxjs-esm2.0.1间接
npmmdast-util-phrasing4.1.0间接
npmmdast-util-to-hast12.3.0间接
npmmdast-util-to-hast13.2.1间接
npmmdast-util-to-markdown2.1.2间接
npmmdast-util-to-string3.2.0间接
npmmdast-util-to-string4.0.0间接
npmmedia-typer0.3.0间接
npmmedia-typer1.1.1间接
npmmerge-descriptors1.0.3间接
npmmerge-descriptors2.0.0间接
npmmermaid11.16.1间接
npmmethods1.1.2间接
npmmicromark3.2.0间接
npmmicromark4.0.2间接
npmmicromark-core-commonmark1.1.0间接
npmmicromark-core-commonmark2.0.3间接
npmmicromark-extension-cjk-friendly1.2.3间接
npmmicromark-extension-cjk-friendly-gfm-strikethrough1.2.3间接
npmmicromark-extension-cjk-friendly-util2.1.1间接
npmmicromark-extension-gfm3.0.0间接
npmmicromark-extension-gfm-autolink-literal2.1.0间接
npmmicromark-extension-gfm-footnote2.1.0间接
npmmicromark-extension-gfm-strikethrough2.1.0间接
npmmicromark-extension-gfm-table2.1.1间接
npmmicromark-extension-gfm-tagfilter2.0.0间接
npmmicromark-extension-gfm-task-list-item2.1.0间接
npmmicromark-extension-math3.1.0间接
npmmicromark-factory-destination1.1.0间接
npmmicromark-factory-destination2.0.1间接
npmmicromark-factory-label1.1.0间接
npmmicromark-factory-label2.0.1间接
npmmicromark-factory-space1.1.0间接
npmmicromark-factory-space2.0.1间接
npmmicromark-factory-title1.1.0间接
npmmicromark-factory-title2.0.1间接
npmmicromark-factory-whitespace1.1.0间接
npmmicromark-factory-whitespace2.0.1间接
npmmicromark-util-character1.2.0间接
npmmicromark-util-character2.1.1间接
npmmicromark-util-chunked1.1.0间接
npmmicromark-util-chunked2.0.1间接
npmmicromark-util-classify-character1.1.0间接
npmmicromark-util-classify-character2.0.1间接
npmmicromark-util-combine-extensions1.1.0间接
npmmicromark-util-combine-extensions2.0.1间接
npmmicromark-util-decode-numeric-character-reference1.1.0间接
npmmicromark-util-decode-numeric-character-reference2.0.2间接
npmmicromark-util-decode-string1.1.0间接
npmmicromark-util-decode-string2.0.1间接
npmmicromark-util-encode1.1.0间接
npmmicromark-util-encode2.0.1间接
npmmicromark-util-html-tag-name1.2.0间接
npmmicromark-util-html-tag-name2.0.1间接
npmmicromark-util-normalize-identifier1.1.0间接
npmmicromark-util-normalize-identifier2.0.1间接
npmmicromark-util-resolve-all1.1.0间接
npmmicromark-util-resolve-all2.0.1间接
npmmicromark-util-sanitize-uri1.2.0间接
npmmicromark-util-sanitize-uri2.0.1间接
npmmicromark-util-subtokenize1.1.0间接
npmmicromark-util-subtokenize2.1.0间接
npmmicromark-util-symbol1.1.0间接
npmmicromark-util-symbol2.0.1间接
npmmicromark-util-types1.1.0间接
npmmicromark-util-types2.0.2间接
npmmime1.6.0间接
npmmime-db1.52.0间接
npmmime-db1.54.0间接
npmmime-types2.1.35间接
npmmime-types3.0.2间接
npmminimist1.2.8间接
npmmri1.2.0间接
npmms2.0.0间接
npmms2.1.3间接
npmmustache4.2.0间接
npmnanoid3.3.18间接
npmnegotiator0.6.3间接
npmnegotiator1.0.0间接
npmnext16.3.4间接
npmnode-domexception1.0.0间接
npmnode-fetch2.7.0间接
npmnode-fetch3.3.2间接
npmobject-assign4.1.1间接
npmobject-inspect1.13.4间接
npmon-exit-leak-free2.1.2间接
npmon-finished2.4.1间接
npmonce1.4.0间接
npmoniguruma-parser0.12.2间接
npmoniguruma-to-es4.3.6间接
npmopenai6.49.0间接
npmp-finally1.0.0间接
npmp-queue6.6.2间接
npmp-queue9.3.3间接
npmp-retry4.6.2间接
npmp-retry7.1.1间接
npmp-timeout3.2.0间接
npmp-timeout7.0.1间接
npmpackage-manager-detector1.8.0间接
npmparse-entities4.0.2间接
npmparse57.3.0间接
npmparseurl1.3.3间接
npmpartial-json0.1.7间接
npmpath-data-parser0.1.0间接
npmpath-key3.1.1间接
npmpath-to-regexp0.1.13间接
npmpath-to-regexp8.4.2间接
npmphoenix1.8.11间接
npmpicocolors1.1.1间接
npmpino9.14.0间接
npmpino-abstract-transport2.0.0间接
npmpino-pretty11.3.0间接
npmpino-std-serializers7.1.0间接
npmpkce-challenge5.0.1间接
npmpoints-on-curve0.2.0间接
npmpoints-on-path0.2.1间接
npmpostcss8.5.23间接
npmprocess0.11.10间接
npmprocess-warning5.1.0间接
npmprop-types15.8.1间接
npmproperty-information6.5.0间接
npmproperty-information7.2.0间接
npmproxy-addr2.0.7间接
npmproxy-from-env2.1.0间接
npmpump3.0.4间接
npmqs6.16.0间接
npmquick-format-unescaped4.0.4间接
npmrange-parser1.2.1间接
npmrange-parser1.3.0间接
npmraw-body2.5.3间接
npmraw-body3.0.2间接
npmreact19.2.8间接
npmreact-dom19.2.8间接
npmreact-is16.13.1间接
npmreact-is18.3.1间接
npmreact-markdown8.0.7间接
npmreact-remove-scroll2.7.2间接
npmreact-remove-scroll-bar2.3.8间接
npmreact-style-singleton2.2.3间接
npmreadable-stream4.7.0间接
npmreal-require0.2.0间接
npmreflect-metadata0.2.2间接
npmregex6.1.0间接
npmregex-recursion6.0.2间接
npmregex-utilities2.3.0间接
npmrehype-harden1.1.8间接
npmrehype-katex7.0.1间接
npmrehype-raw7.0.0间接
npmrehype-sanitize6.0.0间接
npmremark-cjk-friendly1.2.3间接
npmremark-cjk-friendly-gfm-strikethrough1.2.3间接
npmremark-gfm4.0.1间接
npmremark-math6.0.0间接
npmremark-parse10.0.2间接
npmremark-parse11.0.0间接
npmremark-rehype10.1.0间接
npmremark-rehype11.1.2间接
npmremark-stringify11.0.0间接
npmremend1.0.1间接
npmrequire-from-string2.0.2间接
npmretry0.13.1间接
npmrobust-predicates3.0.3间接
npmroughjs4.6.6间接
npmrouter2.2.0间接
npmrw1.3.3间接
npmrxjs7.8.1间接
npmsade1.8.1间接
npmsafe-buffer5.2.1间接
npmsafe-stable-stringify2.5.0间接
npmsafer-buffer2.1.2间接
npmscheduler0.27.0间接
npmsecure-json-parse2.7.0间接
npmsemver7.8.5间接
npmsend0.19.2间接
npmsend1.2.1间接
npmserve-static1.16.3间接
npmserve-static2.2.1间接
npmsetprototypeof1.2.0间接
npmsharp0.35.4间接
npmshebang-command2.0.0间接
npmshebang-regex3.0.0间接
npmshiki3.23.0间接
npmside-channel1.1.1间接
npmside-channel-list1.0.1间接
npmside-channel-map1.0.1间接
npmside-channel-weakmap1.0.2间接
npmsonic-boom4.2.1间接
npmsource-map-js1.2.1间接
npmspace-separated-tokens2.0.2间接
npmsplit24.2.0间接
npmstatuses2.0.2间接
npmstreamdown1.6.11间接
npmstring_decoder1.3.0间接
npmstringify-entities4.0.4间接
npmstrip-json-comments3.1.1间接
npmstyle-to-js1.1.21间接
npmstyle-to-object0.4.4间接
npmstyle-to-object1.0.14间接
npmstyled-jsx5.1.6间接
npmstylis4.4.0间接
npmsupports-color7.2.0间接
npmtailwind-merge3.6.0间接
npmthread-stream3.2.0间接
npmtinyexec1.3.0间接
npmtoidentifier1.0.1间接
npmtr460.0.3间接
npmtrim-lines3.0.1间接
npmtrough2.2.0间接
npmts-dedent2.3.0间接
npmtslib2.8.1间接
npmtsscmp1.0.6间接
npmtw-animate-css1.4.0间接
npmtype-graphql2.0.0-rc.1间接
npmtype-is1.6.18间接
npmtype-is2.1.0间接
npmtypescript5.9.3间接
npmundici5.29.0间接
npmundici-types6.21.0间接
npmunified10.1.2间接
npmunified11.0.5间接
npmunist-util-find-after5.0.0间接
npmunist-util-generated2.0.1间接
npmunist-util-is5.2.1间接
npmunist-util-is6.0.1间接
npmunist-util-position4.0.4间接
npmunist-util-position5.0.0间接
npmunist-util-remove-position5.0.0间接
npmunist-util-stringify-position3.0.3间接
npmunist-util-stringify-position4.0.0间接
npmunist-util-visit4.1.2间接
npmunist-util-visit5.1.0间接
npmunist-util-visit-parents5.1.3间接
npmunist-util-visit-parents6.0.2间接
npmunpipe1.0.0间接
npmuntruncate-json0.0.1间接
npmurlpattern-polyfill10.1.0间接
npmurql4.2.2间接
npmuse-callback-ref1.3.3间接
npmuse-sidecar1.1.3间接
npmuse-stick-to-bottom1.1.6间接
npmutils-merge1.0.1间接
npmuuid10.0.0间接
npmuuid11.1.1间接
npmuuid14.0.1间接
npmuvu0.5.6间接
npmvalidator13.15.35间接
npmvary1.1.2间接
npmvfile5.3.7间接
npmvfile6.0.3间接
npmvfile-location5.0.3间接
npmvfile-message3.1.4间接
npmvfile-message4.0.3间接
npmweb-namespaces2.0.1间接
npmweb-streams-polyfill3.3.3间接
npmwebidl-conversions3.0.1间接
npmwhatwg-url5.0.0间接
npmwhich2.0.2间接
npmwonka6.3.6间接
npmwrappy1.0.2间接
npmws8.21.3间接
npmzod3.25.75间接
npmzod3.25.76间接
npmzod-to-json-schema3.25.2间接
npmzwitch2.0.4间接
PyPIaccelerate1.15.0间接
PyPIag-ui-protocol0.1.18间接
PyPIaiofile3.9.0间接
PyPIaiohappyeyeballs2.6.1间接
PyPIaiohttp3.14.3间接
PyPIaiolimiter1.2.1间接
PyPIaiosignal1.4.0间接
PyPIaiosqlite—间接
PyPIaiosqlite0.22.1间接
PyPIannotated-doc0.0.4间接
PyPIannotated-types0.7.0间接
PyPIanthropic1.4.0间接
PyPIantlr4-python3-runtime4.9.3间接
PyPIanyio4.14.2间接
PyPIasyncpg—间接
PyPIasyncpg0.31.0间接
PyPIattrs26.1.0间接
PyPIauthlib1.7.2间接
PyPIbeartype0.22.9间接
PyPIboto31.42.74间接
PyPIbotocore1.42.74间接
PyPIcachetools7.0.5间接
PyPIcaio0.9.25间接
PyPIcertifi2026.2.25间接
PyPIcffi2.0.0间接
PyPIcfgv3.5.0间接
PyPIclick8.4.2间接
PyPIcohere—间接
PyPIcohere5.21.1间接
PyPIcolorama0.4.6间接
PyPIcolorlog6.10.1间接
PyPIcoverage7.13.5间接
PyPIcryptography50.0.0间接
PyPIcuda-bindings13.2.0间接
PyPIcuda-pathfinder1.4.4间接
PyPIcuda-toolkit13.0.3.0间接
PyPIcyclopts4.10.1间接
PyPIdeepmerge2.0间接
PyPIdefusedxml0.7.1间接
PyPIdeprecation2.1.0间接
PyPIdill0.4.1间接
PyPIdistlib0.4.0间接
PyPIdistro1.9.0间接
PyPIdnspython2.8.0间接
PyPIdoclang0.7.3间接
PyPIdocling2.124.0间接
PyPIdocling-ibm-models4.0.1间接
PyPIdocling-parse7.16.0间接
PyPIdocling-slim2.124.0间接
PyPIdocstring-parser0.17.0间接
PyPIdocutils0.22.4间接
PyPIemail-validator2.3.0间接
PyPIet-xmlfile2.0.0间接
PyPIeval-type-backport0.3.1间接
PyPIexceptiongroup1.3.1间接
PyPIexecnet2.1.2间接
PyPIexecuting2.2.1间接
PyPIfaker40.11.1间接
PyPIfastapi—间接
PyPIfastapi0.136.1间接
PyPIfastavro1.12.1间接
PyPIfastmcp-slim4.0.2间接
PyPIffmpeg-python0.2.0间接
PyPIfilelock3.25.2间接
PyPIfiletype1.2.0间接
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PyPIfsspec2026.6.0间接
PyPIfuture1.0.0间接
PyPIgenai-prices0.1.6间接
PyPIgoogle-auth2.57.1间接
PyPIgoogle-genai2.22.0间接
PyPIgoogleapis-common-protos1.73.0间接
PyPIgreenlet3.5.1间接
PyPIgriffelib2.0.1间接
PyPIgroq1.1.1间接
PyPIh110.16.0间接
PyPIhaiku-rag0.95.0间接
PyPIhaiku-rag-evals0.95.0间接
PyPIhf-xet1.5.2间接
PyPIhttpcore1.0.9间接
PyPIhttpcore22.12.0间接
PyPIhttptools0.7.1间接
PyPIhttpx22.12.0间接
PyPIhttpx2-jsfetch1.0间接
PyPIidentify2.6.18间接
PyPIidna3.18间接
PyPIiniconfig2.3.0间接
PyPIjaraco-classes3.4.0间接
PyPIjaraco-context6.1.2间接
PyPIjaraco-functools4.4.0间接
PyPIjeepney0.9.0间接
PyPIjiter0.16.0间接
PyPIjmespath1.1.0间接
PyPIjoblib1.5.3间接
PyPIjoserfc1.7.4间接
PyPIjsonpatch1.33间接
PyPIjsonpath-python1.1.5间接
PyPIjsonpointer3.1.1间接
PyPIjsonref1.1.0间接
PyPIjsonschema4.26.0间接
PyPIjsonschema-path0.4.5间接
PyPIjsonschema-specifications2025.9.1间接
PyPIkeyring25.7.0间接
PyPIlance-namespace0.11.1间接
PyPIlance-namespace-urllib3-client0.11.1间接
PyPIlangchain-core1.4.8间接
PyPIlangchain-protocol0.0.18间接
PyPIlangchain-text-splitters1.1.2间接
PyPIlangsmith0.9.1间接
PyPIlatex2mathml3.79.0间接
PyPIlinkify-it-py2.1.0间接
PyPIlogfire—间接
PyPIlogfire5.0.0间接
PyPIlogfire-api4.30.0间接
PyPIlxml6.1.1间接
PyPImail-parser4.4.0间接
PyPImarkdown3.10.2间接
PyPImarkdown-it-py4.0.0间接
PyPImarko2.2.2间接
PyPImarkupsafe3.0.3间接
PyPImcp2.1.1间接
PyPImcp-types2.1.1间接
PyPImdit-py-plugins0.5.0间接
PyPImdurl0.1.2间接
PyPImistralai2.9.4间接
PyPImore-itertools10.8.0间接
PyPImpire2.10.2间接
PyPImpmath1.3.0间接
PyPImultidict6.9.1间接
PyPImultiprocess0.70.19间接
PyPInetworkx3.6.1间接
PyPInodeenv1.10.0间接
PyPInumpy2.4.3间接
PyPInvidia-cublas13.1.1.3间接
PyPInvidia-cuda-cupti13.0.85间接
PyPInvidia-cuda-nvrtc13.0.88间接
PyPInvidia-cuda-runtime13.0.96间接
PyPInvidia-cudnn-cu139.20.0.48间接
PyPInvidia-cufft12.0.0.61间接
PyPInvidia-cufile1.15.1.6间接
PyPInvidia-curand10.4.0.35间接
PyPInvidia-cusolver12.0.4.66间接
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PyPInvidia-nccl-cu132.29.7间接
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PyPIobstore—间接
PyPIobstore0.9.4间接
PyPIolefile0.47间接
PyPIomegaconf2.3.0间接
PyPIopenai3.8.0间接
PyPIopenapi-pydantic0.5.1间接
PyPIopencv-python4.13.0.92间接
PyPIopencv-python-headless—间接
PyPIopencv-python-headless4.13.0.92间接
PyPIopenpyxl3.1.5间接
PyPIopentelemetry-exporter-otlp-proto-common1.44.0间接
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PyPIorjson3.11.7间接
PyPIpackaging26.0间接
PyPIpandas3.0.1间接
PyPIpathable0.5.0间接
PyPIpillow12.3.0间接
PyPIplatformdirs4.9.4间接
PyPIpluggy1.6.0间接
PyPIpolyfactory3.3.0间接
PyPIpre-commit4.5.1间接
PyPIpropcache0.4.1间接
PyPIprotobuf6.33.6间接
PyPIpsutil7.2.2间接
PyPIpy-key-value-aio0.4.4间接
PyPIpyasn10.6.4间接
PyPIpyasn1-modules0.4.2间接
PyPIpyclipper1.4.0间接
PyPIpycparser3.0间接
PyPIpydantic-core2.41.5间接
PyPIpydantic-evals2.40.0间接
PyPIpydantic-graph2.40.0间接
PyPIpydantic-monty-client1.0.0间接
PyPIpydantic-monty-runtime1.0.0间接
PyPIpydantic-settings2.14.2间接
PyPIpygments2.20.0间接
PyPIpyjwt2.15.1间接
PyPIpylatexenc2.10间接
PyPIpymdown-extensions11.0.1间接
PyPIpyperclip1.11.0间接
PyPIpytest9.1.1间接
PyPIpytest-asyncio1.4.0间接
PyPIpytest-cov7.1.0间接
PyPIpytest-recording0.13.4间接
PyPIpytest-xdist3.8.0间接
PyPIpython-dateutil2.9.0.post0间接
PyPIpython-discovery1.6.1间接
PyPIpython-docx1.2.0间接
PyPIpython-multipart0.0.32间接
PyPIpython-oxmsg0.0.2间接
PyPIpython-pptx1.0.2间接
PyPIpywin32311间接
PyPIpywin32-ctypes0.2.3间接
PyPIrapidocr3.9.2间接
PyPIreferencing0.37.0间接
PyPIregex2026.2.28间接
PyPIrequests2.34.2间接
PyPIrequests-toolbelt1.0.0间接
PyPIrich-rst1.3.2间接
PyPIrpds-py0.30.0间接
PyPIrtree1.4.1间接
PyPIruff—间接
PyPIruff0.16.6间接
PyPIs3transfer0.16.0间接
PyPIsafetensors0.7.0间接
PyPIsafetensors0.8.0间接
PyPIscikit-learn1.8.0间接
PyPIscipy1.17.1间接
PyPIsecretstorage3.5.0间接
PyPIsemchunk3.2.5间接
PyPIsentence-transformers—间接
PyPIsentence-transformers5.7.0间接
PyPIsetuptools83.0.0间接
PyPIshapely2.1.2间接
PyPIshellingham1.5.4间接
PyPIsix1.17.0间接
PyPIsniffio1.3.1间接
PyPIsoupsieve2.9.1间接
PyPIsqlalchemy—间接
PyPIsqlalchemy2.0.50间接
PyPIsse-starlette3.3.3间接
PyPIstarlette—间接
PyPIstarlette1.3.1间接
PyPIsympy1.14.0间接
PyPItabulate0.10.0间接
PyPItenacity9.1.4间接
PyPItextual—间接
PyPItextual8.2.5间接
PyPIthreadpoolctl3.6.0间接
PyPItiktoken0.12.0间接
PyPItokenizers0.22.2间接
PyPItokenizers0.23.2间接
PyPItomli2.4.1间接
PyPItorch—间接
PyPItorch2.13.0间接
PyPItorchvision0.28.0间接
PyPItqdm4.67.3间接
PyPItransformers—间接
PyPItransformers5.17.0间接
PyPItransformers5.8.1间接
PyPItree-sitter—间接
PyPItree-sitter0.25.2间接
PyPItree-sitter-c0.24.1间接
PyPItree-sitter-javascript0.25.0间接
PyPItree-sitter-json—间接
PyPItree-sitter-json0.24.8间接
PyPItree-sitter-python0.25.0间接
PyPItree-sitter-typescript0.23.2间接
PyPItriton3.7.1间接
PyPItruststore0.10.4间接
PyPIty—间接
PyPIty0.0.78间接
PyPItypes-requests2.32.4.20260324间接
PyPItyping-extensions4.15.0间接
PyPItyping-inspection0.4.2间接
PyPItzdata2025.3间接
PyPIuc-micro-py2.0.0间接
PyPIuncalled-for0.4.0间接
PyPIurllib32.8.0间接
PyPIuuid-utils0.14.1间接
PyPIuvicorn—间接
PyPIuvicorn0.42.0间接
PyPIuvloop0.22.1间接
PyPIvcrpy8.2.1间接
PyPIvirtualenv21.14.5间接
PyPIvoyageai0.3.7间接
PyPIwebsockets16.0间接
PyPIwrapt1.17.3间接
PyPIxlsxwriter3.2.9间接
PyPIxxhash3.6.0间接
PyPIyarl1.23.0间接
PyPIzensical0.0.43间接
PyPIzeroentropy—间接
PyPIzeroentropy0.1.0a11间接
依赖安全公告 19

该仓库未发布可被索引解析的包，因此评估的是其自身的依赖图——共 1,111 个包，其中也包含从不交付的开发与测试版本固定：19 个存在已知公告，0 个为直接依赖。 有 41 个无法评估——没有已解析的版本、生态系统不受支持，或不在所列包清单之内。

软件包版本关系严重程度公告数修复版本
next16.3.4间接严重716.3.8
proxy-addr2.0.7间接严重12.0.8
@fastify/busboy2.1.1间接高23.2.2
@graphql-tools/utils10.11.0间接高112.0.1
@graphql-tools/utils11.2.2间接高112.0.1
@graphql-tools/utils12.0.0间接高112.0.1
@modelcontextprotocol/sdk1.30.0间接高12.2.0
axios1.19.0间接高121.20.0
docling2.124.0间接高72.132.0
docling-slim2.124.0间接高72.132.0
sharp0.35.4间接高10.35.5
source-map-js1.2.1间接高11.2.2
transformers5.8.1间接高45.10.0
undici5.29.0间接高138.10.2
uuid10.0.0间接高113.0.1
@fastify/busboy3.2.1间接中13.2.2
fast-copy3.0.2间接中14.1.0
dompurify3.4.13间接低23.4.16
katex0.16.47间接低10.18.2

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

反馈

发现这份报告有不准确之处，或有想法要分享？错误的测量、未识别的工具、建议、疑问——都欢迎提出。每条消息都会被阅读并得到回复。

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相关记录

与 ggozad/haiku.rag 共享目录标签或生态系统的已检测仓库。 并排阅读 →

94Tencent/WeKnoraOpen-source LLM knowledge platform: turn raw documents into a queryable RAG, an autonomous reasoning agent, and a self-maintaining Wiki.卓越94doobidoo/mcp-memory-serviceOpen-source persistent memory for AI agent pipelines (LangGraph, CrewAI, AutoGen) and Claude. REST API + knowledge graph + autonomous consolidation.卓越100deepset-ai/haystackOpen-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.卓越98ModelEngine-Group/nexentNexent is a zero-code platform for auto-generating production-grade AI agents using Harness Engineering principles — unified tools, skills, memory, and orchestration with built-in constraints, feedback loops, and control planes.卓越96Canner/WrenAIGenBI (Generative BI) for AI agents, an open-source, governed text-to-SQL through an open context layer that turns natural-language questions into trusted dashboards, charts, and SQL across 20+ data sources, such as BigQuery, Snowflake, PostgreSQL, ClickHouse, Amazon Redshift, Databricks and more.卓越94infiniflow/infinityThe AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.卓越

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 v2.10.0、模式 v0.34.0—— 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 — PyPI.