公开记录优秀
软件健康报告模式 0.27.0 · 指标 1.13.0 · 2026-07-30 22:15 UTC
mne-tools / mne-python
MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python
mne-tools/mne-python 的健康指数为 100 分中的 89 分，处于「优秀」区间。 其得分最高的类别是Engineering Quality（96/100），最低的是AI Readiness（64/100）。 最近一次更新在今天。 近期的大部分工作由 3 位贡献者完成。
89
总分 / 100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。
89
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）
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
312 关注者49 个公开仓库始于 2011年1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 | 标签 |
|---|---|---|---|---|---|---|
| PyPI | mne | 1.12.1 | 424,271 | 86 | 101 天前 | ecogeegmegbrainfnirsneuroimagingneuroscience |
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？
93
开发活跃度
100优秀
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 452 次提交 |
| 10/10 | OpenSSF Scorecard：Maintained — 30 commit(s) and 19 issue activity found in the last 90 days -- score normalized to 10 |
所用输入
| commits_last_year | 452 |
| human_commit_share | 0.87 |
| days_since_last_push | 0 |
| active_weeks_last_year | 52 |
发布纪律
82良好
评分方式
| 27/27 | 有发布版本 — 已发布 64 个发布版本 |
| 27/36 | 发布时效 — 最近一次发布版本于 101 天前 |
| 19.8/27 | 发布节奏 — 约每 81.2 天发布一次 |
| 0/10 | OpenSSF Scorecard：Signed-Releases — 无数据 |
所用输入
| releases_count | 64 |
| latest_release_tag | v1.12.1 |
| releases_from_tags | 否 |
| days_since_latest_release | 101 |
| mean_days_between_releases | 81.2 |
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？
93
流行度与采用
93优秀
评分方式
| 57.4/60 | 星标 — 3,475 个星标 |
| 25/25 | 复刻 — 1,576 个复刻 |
| 10.6/15 | 关注者 — 83 位关注者 |
所用输入
| forks | 1,576 |
| stars | 3,475 |
| watchers | 83 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
社区健康
92优秀
评分方式
| 22.5/22.5 | README |
| 22.5/22.5 | 许可证 — 可识别的许可证（BSD-3-Clause） |
| 18/18 | CONTRIBUTING 指南 |
| 13.5/13.5 | 行为准则 |
| 0/7.2 | 议题模板 |
| 6.3/6.3 | PR 模板 |
所用输入
| has_readme | 是 |
| has_license | 是 |
| has_contributing | 是 |
| has_issue_template | 否 |
| has_code_of_conduct | 是 |
| has_pull_request_template | 是 |
生态采用（下载量）
94优秀
评分方式
| 75/80 | 月度下载量 — pypi 合计每月 424,271 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 | mne |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 424,271 |
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？
83
维护者韧性（巴士系数）
76良好
评分方式
| 36/54 | 巴士系数 — 3 位贡献者贡献了半数提交 |
| 16.3/22.5 | 提交分布 — 头号贡献者编写了 28% 的提交 |
| 13.5/13.5 | 贡献者广度 — 97 位贡献者 |
| 10/10 | OpenSSF Scorecard：Contributors — project has 61 contributing companies or organizations |
所用输入
| bus_factor | 3 |
| contributors_sampled | 97 |
| top_contributor_share | 0.276 |
议题与 PR 响应能力
87优秀
评分方式
| 42.1/46.8 | 议题解决 — 90% 的议题已关闭 |
| 33.2/38.3 | PR 接受 — 已裁定的 PR 中 7,630/8,788 已合并 |
| 12/15 | OpenSSF Scorecard：Code-Review — Found 26/29 approved changesets -- score normalized to 8 |
所用输入
| merged_prs | 7,630 |
| open_issues | 520 |
| closed_issues | 4,656 |
| issue_closed_ratio | 0.9 |
| closed_unmerged_prs | 1,158 |
所有权与托管责任
72良好
评分方式
| 30/30 | 所有权背书 — 组织持有 |
| 0/20 | 已验证域名 |
| 17.9/25 | 所有者影响力 — mne-tools 有 312 位关注者 |
| 24.4/25 | 既往记录 — 49 个公开仓库，账户约 15 年 |
所用输入
| followers | 312 |
| owner_type | Organization |
| is_verified | — |
| owner_login | mne-tools |
| public_repos | 49 |
| account_age_days | 5,664 |
软件包维护
100优秀
评分方式
| 25/25 | 已发布且可解析 — pypi 上有 1 个软件包 |
| 35/35 | 发布时效 — 最近一次发布于 101 天前 |
| 20/20 | 版本历史 — 86 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 | mne |
| ecosystems | pypi |
| any_deprecated | 否 |
| min_days_since_publish | 101 |
工程质量
基础的工程与文档实践是否到位？
96
工程实践
94优秀
评分方式
| 24/24 | CI 工作流 — 9 个工作流 |
| 24/24 | 存在测试 |
| 16/16 | Linter 配置 |
| 9.6/9.6 | Pre-commit 钩子 |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard：CI-Tests — 30 out of 30 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优秀
评分方式
| 30/30 | README |
| 25/25 | 文档目录 |
| 15/15 | 文档 / 主页站点 — https://mne.tools |
| 10/10 | 仓库描述 |
| 10/10 | 主题标签 — 12 个主题标签 |
| 10/10 | Wiki |
所用输入
| topics | python, neuroscience, electroencephalography, magnetoencephalography, electrocorticography, machine-learning, statistics, visualization, eeg, meg, ecog, neuroimaging |
| has_wiki | 是 |
| homepage | https://mne.tools |
| 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？
82
安全态势
78良好
评分方式
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — 无数据 |
| 2.5/2.5 | CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 1.8/2.5 | CII-Best-Practices — badge detected: Silver |
| 6/7.5 | Code-Review — Found 26/29 approved changesets -- score normalized to 8 |
| 2.5/2.5 | Contributors — project has 61 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | 许可证 — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 19 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 4.5/5 | SAST — SAST tool detected but not run on all commits |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — 无数据 |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
所用输入
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 7.8 |
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。
依赖安全公告
100优秀
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
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 24 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
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 pypi:mne@1.12.1 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 24 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。
64
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 — 87 次人类提交中有 78 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 |
| legible_history_share | 0.897 |
| agent_instruction_files | AGENTS.md, CLAUDE.md |
| agent_instruction_max_bytes | 7,654 |
评分方式
| 18/18 | 一条命令的引导启动 — Makefile, doc/Makefile, tools/dev/Makefile |
| 22/22 | 自动化测试 |
| 11/11 | Lint / 格式化配置 |
| 0/11 | 静态类型检查 |
| 0/10 | 可复现环境 |
| 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 |
| 8/8 | 自动化维护 — 最近 100 次提交中有 5 次为自动依赖更新 |
| 0/10 | OpenSSF Scorecard：Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
所用输入
| has_nix | 否 |
| has_tests | 是 |
| lockfiles | — |
| has_dockerfile | 否 |
| typed_language | 否 |
| bootstrap_files | Makefile, doc/Makefile, tools/dev/Makefile |
| has_devcontainer | 否 |
| has_linter_config | 是 |
| typecheck_configs | — |
| agent_commit_share | 0.01 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0.05 |
面向模型的代码可读性
52中等
评分方式
| 0/45 | 可类型检查的代码 — Python，未配置类型检查 |
| 52/55 | 可控的文件大小 — 采样的 908 个源文件中有 50 个超过 60KB |
所用输入
| primary_language | Python |
| largest_source_bytes | 219,130 |
| source_files_sampled | 908 |
| oversized_source_files | 50 |
机器可读接口
40存在风险
评分方式
| 0/40 | API 模式（OpenAPI/GraphQL/proto） |
| 0/20 | MCP 服务器 |
| 40/40 | 可运行示例 — examples, sample |
所用输入
| example_dirs | examples, sample |
| has_mcp_signal | 否 |
| api_schema_files | — |
关键数据
3,475GitHub 星标
97贡献者
452最近 12 个月提交数
0距最近推送天数
64发布版本数
3巴士系数（bus factor）
520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
更多细节
Star 与 Fork 历史 0 ★ / 1,576 ⇿
0Star
1,576Fork
51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。
仅显示最近的历史——该仓库超出采集窗口，因此未采集最早的历史记录。
主版本 1次版本 18修订 32
每个点涵盖 7 天。
OpenSSF Scorecard 7.8 / 10
7.8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）。
| 10 | Binary-Artifacts | no binaries found in the repo |
| 不适用 | Branch-Protection | 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 |
| 10 | CI-Tests | 30 out of 30 merged PRs checked by a CI test -- score normalized to 10 |
| 7 | CII-Best-Practices | badge detected: Silver |
| 8 | Code-Review | Found 26/29 approved changesets -- score normalized to 8 |
| 10 | Contributors | project has 61 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 19 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 9 | SAST | SAST tool detected but not run on all commits |
| 10 | Security-Policy | security policy file detected |
| 不适用 | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
直接依赖 10
| 注册表 | 软件包 | 版本约束 | 清单文件 |
|---|---|---|---|
| PyPI | decorator | >= 5.1 | pyproject.toml |
| PyPI | jinja2 | >= 3.1 | pyproject.toml |
| PyPI | lazy_loader | >= 0.3 | pyproject.toml |
| PyPI | matplotlib | >= 3.9 | pyproject.toml |
| PyPI | numpy | >= 2.0, < 3 | pyproject.toml |
| PyPI | packaging | — | pyproject.toml |
| PyPI | pooch | >= 1.5 | pyproject.toml |
| PyPI | scipy | >= 1.14 | pyproject.toml |
| PyPI | tqdm | >= 4.66 | pyproject.toml |
| PyPI | typing-extensions | >= 4.15 | pyproject.toml |
全部依赖 64
来自 GitHub 依赖图的完整解析依赖集合：8 个直接依赖与 56 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 |
|---|---|---|---|
| PyPI | decorator | — | 直接 |
| PyPI | jinja2 | — | 直接 |
| PyPI | lazy-loader | — | 直接 |
| PyPI | matplotlib | — | 直接 |
| PyPI | numpy | — | 直接 |
| PyPI | pooch | — | 直接 |
| PyPI | scipy | — | 直接 |
| PyPI | tqdm | — | 直接 |
| PyPI | antio | — | 间接 |
| PyPI | curryreader | — | 间接 |
| PyPI | dipy | — | 间接 |
| PyPI | docutils | — | 间接 |
| PyPI | edfio | — | 间接 |
| PyPI | filelock | — | 间接 |
| PyPI | h5io | — | 间接 |
| PyPI | h5py | — | 间接 |
| PyPI | hatchling | — | 间接 |
| PyPI | imageio | — | 间接 |
| PyPI | imageio-ffmpeg | — | 间接 |
| PyPI | intersphinx-registry | — | 间接 |
| PyPI | ipython | — | 间接 |
| PyPI | joblib | — | 间接 |
| PyPI | memory-profiler | — | 间接 |
| PyPI | mffpy | — | 间接 |
| PyPI | mne-qt-browser | — | 间接 |
| PyPI | nibabel | — | 间接 |
| PyPI | nilearn | — | 间接 |
| PyPI | nitime | — | 间接 |
| PyPI | numba | — | 间接 |
| PyPI | numpydoc | — | 间接 |
| PyPI | openmeeg | — | 间接 |
| PyPI | openneuro-py | — | 间接 |
| PyPI | pandas | — | 间接 |
| PyPI | pillow | — | 间接 |
| PyPI | pip | — | 间接 |
| PyPI | pydata-sphinx-theme | — | 间接 |
| PyPI | pygments | — | 间接 |
| PyPI | pyobjc-framework-cocoa | — | 间接 |
| PyPI | pyqt6 | — | 间接 |
| PyPI | pyqt6-qt6 | — | 间接 |
| PyPI | pyside6 | — | 间接 |
| PyPI | pytest | — | 间接 |
| PyPI | pytest-cov | — | 间接 |
| PyPI | pytest-qt | — | 间接 |
| PyPI | pytest-timeout | — | 间接 |
| PyPI | pytest-xdist | — | 间接 |
| PyPI | python-picard | — | 间接 |
| PyPI | pyvista | — | 间接 |
| PyPI | pyvistaqt | — | 间接 |
| PyPI | pyzmq | — | 间接 |
| PyPI | qdarkstyle | — | 间接 |
| PyPI | rcssmin | — | 间接 |
| PyPI | refleak | — | 间接 |
| PyPI | ruff | — | 间接 |
| PyPI | scikit-learn | — | 间接 |
| PyPI | seaborn | — | 间接 |
| PyPI | selenium | — | 间接 |
| PyPI | sphinx | — | 间接 |
| PyPI | sphinx-gallery | — | 间接 |
| PyPI | sphinxcontrib-bibtex | — | 间接 |
| PyPI | sphinxcontrib-towncrier | — | 间接 |
| PyPI | statsmodels | — | 间接 |
| PyPI | trame-vuetify | — | 间接 |
| PyPI | vtk | — | 间接 |
依赖安全公告 0
安装 pypi:mne@1.12.1 会引入 24 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": [
"python",
"neuroscience",
"electroencephalography",
"magnetoencephalography",
"electrocorticography",
"machine-learning",
"statistics",
"visualization",
"eeg",
"meg",
"ecog",
"neuroimaging"
],
"is_fork": false,
"size_kb": 171078,
"has_wiki": true,
"homepage": "https://mne.tools",
"languages": {
"jq": 1060,
"CSS": 4483,
"Jinja": 25368,
"Shell": 32506,
"Python": 12056855,
"Makefile": 3401,
"JavaScript": 10004,
"Csound Document": 24999
},
"pushed_at": "2026-07-30T21:01:09Z",
"created_at": "2011-01-28T03:31:13Z",
"owner_type": "Organization",
"updated_at": "2026-07-30T21:01:41Z",
"description": "MNE: Magnetoencephalography (MEG) and Electroencephalography (EEG) in Python",
"is_archived": false,
"is_disabled": false,
"license_spdx": "BSD-3-Clause",
"default_branch": "main",
"license_spdx_raw": "BSD-3-Clause",
"primary_language": "Python",
"significant_languages": [
"Python"
]
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"status": "partial",
"details": [],
"max_points": 2.5
},
{
"key": "code_review",
"name": "Code-Review",
"detail": "Found 26/29 approved changesets -- score normalized to 8",
"points": 6,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 61 contributing companies or organizations",
"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": "update tool detected",
"points": 7.5,
"status": "met",
"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 19 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 detected but not run on all commits",
"points": 4.5,
"status": "partial",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file detected",
"points": 5,
"status": "met",
"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": "0 existing vulnerabilities detected",
"points": 7.5,
"status": "met",
"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 pypi:mne@1.12.1 runtime dependency closure — what installing the published package pulls in — 24 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": "pypi:mne@1.12.1",
"assessed": 24
}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 0,
"affected_packages": 0,
"assessed_packages": 24,
"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": 24,
"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": 14
},
"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": 64,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "excellent",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 85,
"inputs": {
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"legible_history_share": 0.897,
"agent_instruction_files": [
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"CLAUDE.md"
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"agent_instruction_max_bytes": 7654
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"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "AGENTS.md, CLAUDE.md",
"points": 45,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "AGENTS.md, CLAUDE.md"
}
}
],
"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": "78 of 87 human commits state their intent (structured subject or explanatory body)",
"points": 40,
"status": "met",
"details": [
{
"code": "legible_history",
"params": {
"legible": 78,
"sampled": 87
}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "moderate",
"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 61,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
"Makefile",
"doc/Makefile",
"tools/dev/Makefile"
],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": 0.01,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0.05
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "Makefile, doc/Makefile, tools/dev/Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Makefile, doc/Makefile, tools/dev/Makefile"
}
}
],
"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": null,
"points": 11,
"status": "met",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"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": "1 of the last 100 commits agent-authored or agent-credited",
"points": 2,
"status": "partial",
"details": [
{
"code": "agent_authored_commits",
"params": {
"count": 1,
"sampled": 100
}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "5 of the last 100 commits are automated dependency updates",
"points": 8,
"status": "met",
"details": [
{
"code": "dependency_bot_commits",
"params": {
"count": 5,
"sampled": 100
}
}
],
"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": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 52,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 219130,
"source_files_sampled": 908,
"oversized_source_files": 50
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "50/908 source files over 60KB",
"points": 52,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 908,
"oversized": 50
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"examples",
"sample"
],
"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "examples, sample",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples, sample"
}
}
],
"max_points": 40
}
]
}
],
"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": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
],
"report_type": "repository",
"generated_at": "2026-07-30T22:15:03.022222Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/mne-tools/mne-python.svg",
"full_name": "mne-tools/mne-python",
"license_state": "standard",
"license_spdx": "BSD-3-Clause"
}