公开记录良好
软件健康报告模式 0.12.0 · 指标 1.13.0 · 2026-07-17 21:20 UTC
gepa-ai / gepa
Optimize prompts, code, and more with AI-powered Reflective Optimization
gepa-ai/gepa 的健康指数为 100 分中的 77 分，处于「良好」区间。 其得分最高的类别是Vitality（96/100），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。
77
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。
77
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
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 |
|---|---|---|---|---|---|
| PyPI | gepa | 0.1.4 | 6,064,941 | 36 | 2 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？
96
开发活跃度
94优秀
评分方式
| 36/36 | 推送新近度 — 最近一次推送于 0 天前 |
| 29.8/36 | 提交节奏 — 52 周中有 43 周有提交 |
| 18/18 | 提交量 — 最近一年 814 次提交 |
| 10/10 | OpenSSF Scorecard：Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10 |
所用输入
| commits_last_year | 814 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 43 |
发布纪律
100优秀
评分方式
| 27/27 | 有发布版本 — 已发布 45 个发布版本 |
| 36/36 | 发布时效 — 最近一次发布版本于 2 天前 |
| 27/27 | 发布节奏 — 约每 22.1 天发布一次 |
| 0/10 | OpenSSF Scorecard：Signed-Releases — 无数据 |
所用输入
| releases_count | 45 |
| latest_release_tag | v0.1.4 |
| releases_from_tags | 否 |
| days_since_latest_release | 2 |
| mean_days_between_releases | 22.1 |
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？
86
流行度与采用
90优秀
评分方式
| 60/60 | 星标 — 5,677 个星标 |
| 22.2/25 | 复刻 — 468 个复刻 |
| 7.5/15 | 关注者 — 23 位关注者 |
所用输入
| forks | 468 |
| stars | 5,677 |
| watchers | 23 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
社区健康
70良好
评分方式
| 22.5/22.5 | README |
| 22.5/22.5 | 许可证 — 可识别的许可证（MIT） |
| 18/18 | CONTRIBUTING 指南 |
| 0/13.5 | 行为准则 |
| 0/7.2 | 议题模板 |
| 0/6.3 | PR 模板 |
所用输入
| has_readme | 是 |
| has_license | 是 |
| has_contributing | 是 |
| has_issue_template | 否 |
| has_code_of_conduct | 否 |
| has_pull_request_template | 否 |
生态采用（下载量）
100优秀
评分方式
| 80/80 | 月度下载量 — pypi 合计每月 6,064,941 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 | gepa |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 6,064,941 |
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？
59
维护者韧性（巴士系数）
42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 |
| 9.1/22.5 | 提交分布 — 头号贡献者编写了 59% 的提交 |
| 13.5/13.5 | 贡献者广度 — 40 位贡献者 |
| 10/10 | OpenSSF Scorecard：Contributors — project has 7 contributing companies or organizations |
所用输入
| bus_factor | 1 |
| contributors_sampled | 40 |
| top_contributor_share | 0.594 |
议题与 PR 响应能力
55中等
评分方式
| 20.2/46.8 | 议题解决 — 43% 的议题已关闭 |
| 33.5/38.3 | PR 接受 — 已裁定的 PR 中 203/232 已合并 |
| 1.5/15 | OpenSSF Scorecard：Code-Review — Found 5/30 approved changesets -- score normalized to 1 |
所用输入
| merged_prs | 203 |
| open_issues | 68 |
| closed_issues | 52 |
| issue_closed_ratio | 0.433 |
| closed_unmerged_prs | 29 |
所有权与托管责任
51中等
评分方式
| 30/30 | 所有权背书 — 组织持有 |
| 0/20 | 已验证域名 |
| 13.4/25 | 所有者影响力 — gepa-ai 有 73 位关注者 |
| 8/25 | 既往记录 — 6 个公开仓库，账户约 0 年 |
所用输入
| followers | 73 |
| owner_type | Organization |
| is_verified | — |
| owner_login | gepa-ai |
| public_repos | 6 |
| account_age_days | 346 |
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 2 天前 |
| 20/20 | 版本历史 — 36 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 | gepa |
| ecosystems | pypi |
| any_deprecated | 否 |
| min_days_since_publish | 2 |
工程质量
基础的工程与文档实践是否到位？
88
工程实践
94优秀
评分方式
| 24/24 | CI 工作流 — 5 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 — 22 out of 22 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
80良好
评分方式
| 30/30 | README |
| 25/25 | 文档目录 |
| 15/15 | 文档 / 主页站点 — https://gepa-ai.github.io/gepa/ |
| 10/10 | 仓库描述 |
| 0/10 | 主题标签 |
| 0/10 | Wiki |
所用输入
| topics | — |
| has_wiki | 否 |
| homepage | https://gepa-ai.github.io/gepa/ |
| 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
安全态势
53中等
评分方式
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 2.2/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 22 out of 22 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 0.8/7.5 | Code-Review — Found 5/30 approved changesets -- score normalized to 1 |
| 2.5/2.5 | Contributors — project has 7 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 1 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 | SAST — SAST tool is not run on all commits -- score normalized to 8 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — 无数据 |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 96 existing vulnerabilities detected |
所用输入
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 5.3 |
已排除计分（无数据或不适用）：signed_releases。 其余权重已重新归一化。
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。
67
AI 代理上下文与指引
75良好
评分方式
| 45/45 | 代理指令 — AGENTS.md, CLAUDE.md |
| 0/15 | 机器可读文档（llms.txt） |
| 0/40 | 可读的提交历史 — 无数据 |
所用输入
| has_llms_txt | 否 |
| legible_history_share | — |
| agent_instruction_files | AGENTS.md, CLAUDE.md |
| agent_instruction_max_bytes | 1,076 |
已排除计分（无数据或不适用）：可读的提交历史。 其余权重已重新归一化。
评分方式
| 0/18 | 一条命令的引导启动 |
| 22/22 | 自动化测试 |
| 11/11 | Lint / 格式化配置 |
| 11/11 | 静态类型检查 — pyrightconfig.json, src/gepa/py.typed |
| 10/10 | 可复现环境 — lockfile |
| 0/10 | 已体现的代理实践 — 无数据 |
| 0/8 | 自动化维护 — 无数据 |
| 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 | uv.lock |
| has_dockerfile | 否 |
| typed_language | 否 |
| bootstrap_files | — |
| has_devcontainer | 否 |
| has_linter_config | 是 |
| typecheck_configs | pyrightconfig.json, src/gepa/py.typed |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
已排除计分（无数据或不适用）：已体现的代理实践, 自动化维护。 其余权重已重新归一化。
面向模型的代码可读性
81良好
评分方式
| 27/45 | 可类型检查的代码 — Jupyter Notebook，已配置类型检查（pyrightconfig.json, src/gepa/py.typed） |
| 54.4/55 | 可控的文件大小 — 采样的 197 个源文件中有 2 个超过 60KB |
所用输入
| primary_language | Jupyter Notebook |
| largest_source_bytes | 143,180 |
| source_files_sampled | 197 |
| oversized_source_files | 2 |
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, notebooks |
所用输入
| example_dirs | examples, notebooks |
| has_mcp_signal | 否 |
| api_schema_files | — |
关键数据
5,677GitHub 星标
40贡献者
814最近 12 个月提交数
0距最近推送天数
45发布版本数
1巴士系数（bus factor）
68开放议题
PyPI软件包生态系统数
更多细节
OpenSSF Scorecard 5.3 / 10
5.3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 |
| 3 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 22 out of 22 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 1 | Code-Review | Found 5/30 approved changesets -- score normalized to 1 |
| 10 | Contributors | project has 7 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 1 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 |
| 8 | SAST | SAST tool is not run on all commits -- score normalized to 8 |
| 0 | Security-Policy | security policy file not detected |
| 不适用 | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 96 existing vulnerabilities detected |
全部依赖 242
来自 GitHub 依赖图的完整解析依赖集合：0 个直接依赖与 242 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 | aiohappyeyeballs | 2.6.1 | 间接 |
| PyPI | aiohttp | 3.12.15 | 间接 |
| PyPI | aiosignal | 1.4.0 | 间接 |
| PyPI | alembic | 1.16.5 | 间接 |
| PyPI | annotated-types | 0.7.0 | 间接 |
| PyPI | anyio | 4.10.0 | 间接 |
| PyPI | async-timeout | 5.0.1 | 间接 |
| PyPI | attrs | 25.3.0 | 间接 |
| PyPI | backports-tarfile | 1.2.0 | 间接 |
| PyPI | beautifulsoup4 | 4.13.5 | 间接 |
| PyPI | blinker | 1.9.0 | 间接 |
| PyPI | build | 1.3.0 | 间接 |
| PyPI | cachetools | 5.5.2 | 间接 |
| PyPI | certifi | 2025.8.3 | 间接 |
| PyPI | cffi | 1.17.1 | 间接 |
| PyPI | cfgv | 3.4.0 | 间接 |
| PyPI | charset-normalizer | 3.4.3 | 间接 |
| PyPI | chromadb | — | 间接 |
| PyPI | click | 8.2.1 | 间接 |
| PyPI | cloudpickle | 3.1.1 | 间接 |
| PyPI | colorama | — | 间接 |
| PyPI | colorama | 0.4.6 | 间接 |
| PyPI | configargparse | — | 间接 |
| PyPI | contourpy | 1.3.2 | 间接 |
| PyPI | contourpy | 1.3.3 | 间接 |
| PyPI | cryptography | 45.0.6 | 间接 |
| PyPI | cvxpy | 1.7.3 | 间接 |
| PyPI | cycler | 0.12.1 | 间接 |
| PyPI | cython | 3.1.4 | 间接 |
| PyPI | dask | 2024.8.0 | 间接 |
| PyPI | databricks-sdk | 0.65.0 | 间接 |
| PyPI | datasets | 4.0.0 | 间接 |
| PyPI | datasets | 4.5.0 | 间接 |
| PyPI | dill | 0.3.8 | 间接 |
| PyPI | distlib | 0.4.0 | 间接 |
| PyPI | distro | 1.9.0 | 间接 |
| PyPI | docker | 7.1.0 | 间接 |
| PyPI | docutils | 0.22 | 间接 |
| PyPI | duckdb | 1.4.1 | 间接 |
| PyPI | exceptiongroup | 1.3.0 | 间接 |
| PyPI | fastapi | 0.116.1 | 间接 |
| PyPI | fastapi | 0.121.1 | 间接 |
| PyPI | fastuuid | 0.14.0 | 间接 |
| PyPI | filelock | — | 间接 |
| PyPI | filelock | 3.19.1 | 间接 |
| PyPI | flask | 3.1.2 | 间接 |
| PyPI | flask-cors | 6.0.5 | 间接 |
| PyPI | fonttools | 4.59.2 | 间接 |
| PyPI | frozenlist | 1.7.0 | 间接 |
| PyPI | fsspec | 2025.3.0 | 间接 |
| PyPI | gepa | 0.1.4 | 间接 |
| PyPI | gitdb | 4.0.12 | 间接 |
| PyPI | gitpython | 3.1.45 | 间接 |
| PyPI | google-auth | — | 间接 |
| PyPI | google-auth | 2.40.3 | 间接 |
| PyPI | graphene | 3.4.3 | 间接 |
| PyPI | graphql-core | 3.2.6 | 间接 |
| PyPI | graphql-relay | 3.2.0 | 间接 |
| PyPI | greenlet | 3.2.4 | 间接 |
| PyPI | gunicorn | 23.0.0 | 间接 |
| PyPI | h11 | 0.16.0 | 间接 |
| PyPI | h5py | 3.14.0 | 间接 |
| PyPI | hf-xet | 1.1.8 | 间接 |
| PyPI | httpcore | 1.0.9 | 间接 |
| PyPI | httpx | 0.28.1 | 间接 |
| PyPI | huey | 3.2.1 | 间接 |
| PyPI | huggingface-hub | 0.34.4 | 间接 |
| PyPI | id | 1.5.0 | 间接 |
| PyPI | identify | 2.6.13 | 间接 |
| PyPI | idna | 3.10 | 间接 |
| PyPI | importlib-metadata | 8.7.0 | 间接 |
| PyPI | iniconfig | 2.1.0 | 间接 |
| PyPI | itsdangerous | 2.2.0 | 间接 |
| PyPI | jaraco-classes | 3.4.0 | 间接 |
| PyPI | jaraco-context | 6.0.1 | 间接 |
| PyPI | jaraco-functools | 4.3.0 | 间接 |
| PyPI | jeepney | 0.9.0 | 间接 |
| PyPI | jinja2 | 3.1.6 | 间接 |
| PyPI | jiter | 0.10.0 | 间接 |
| PyPI | joblib | 1.5.2 | 间接 |
| PyPI | jsonpatch | 1.33 | 间接 |
| PyPI | jsonpointer | 3.1.1 | 间接 |
| PyPI | jsonschema | 4.25.1 | 间接 |
| PyPI | jsonschema-specifications | 2025.4.1 | 间接 |
| PyPI | keyring | 25.6.0 | 间接 |
| PyPI | kiwisolver | 1.4.9 | 间接 |
| PyPI | lancedb | — | 间接 |
| PyPI | langchain | 1.3.13 | 间接 |
| PyPI | langchain-core | 1.4.9 | 间接 |
| PyPI | langchain-protocol | 0.0.18 | 间接 |
| PyPI | langgraph | 1.2.9 | 间接 |
| PyPI | langgraph-checkpoint | 4.1.1 | 间接 |
| PyPI | langgraph-prebuilt | 1.1.0 | 间接 |
| PyPI | langgraph-sdk | 0.4.2 | 间接 |
| PyPI | langsmith | 0.10.3 | 间接 |
| PyPI | lark | 1.3.1 | 间接 |
| PyPI | litellm | — | 间接 |
| PyPI | litellm | 1.83.0 | 间接 |
| PyPI | litellm | 1.91.3 | 间接 |
| PyPI | llm-structured-confidence | 0.4.5 | 间接 |
| PyPI | mako | 1.3.10 | 间接 |
| PyPI | markdown-it-py | 4.0.0 | 间接 |
| PyPI | markupsafe | 3.0.2 | 间接 |
| PyPI | matplotlib | — | 间接 |
| PyPI | matplotlib | 3.10.6 | 间接 |
| PyPI | matplotlib | 3.7.5 | 间接 |
| PyPI | mdurl | 0.1.2 | 间接 |
| PyPI | mkdocs | — | 间接 |
| PyPI | mkdocs-jupyter | — | 间接 |
| PyPI | mkdocs-material | — | 间接 |
| PyPI | mkdocs-redirects | — | 间接 |
| PyPI | mkdocs-rss-plugin | — | 间接 |
| PyPI | mkdocstrings | — | 间接 |
| PyPI | mkdocstrings-python | — | 间接 |
| PyPI | mlflow | 3.14.0 | 间接 |
| PyPI | mlflow-skinny | 3.14.0 | 间接 |
| PyPI | mlflow-tracing | 3.14.0 | 间接 |
| PyPI | more-itertools | 10.7.0 | 间接 |
| PyPI | multidict | 6.6.4 | 间接 |
| PyPI | multiprocess | 0.70.16 | 间接 |
| PyPI | networkx | — | 间接 |
| PyPI | networkx | 3.2.1 | 间接 |
| PyPI | nh3 | 0.3.0 | 间接 |
| PyPI | nodeenv | 1.9.1 | 间接 |
| PyPI | numba | 0.60.0 | 间接 |
| PyPI | numpy | — | 间接 |
| PyPI | numpy | 2.2.6 | 间接 |
| PyPI | numpy | 2.3.2 | 间接 |
| PyPI | numpy | 2.5.1 | 间接 |
| PyPI | openai | 2.45.0 | 间接 |
| PyPI | openpyxl | 3.1.5 | 间接 |
| PyPI | opentelemetry-api | 1.36.0 | 间接 |
| PyPI | opentelemetry-proto | 1.39.1 | 间接 |
| PyPI | opentelemetry-sdk | 1.36.0 | 间接 |
| PyPI | opentelemetry-semantic-conventions | 0.57b0 | 间接 |
| PyPI | optuna | — | 间接 |
| PyPI | orjson | 3.11.9 | 间接 |
| PyPI | ormsgpack | 1.12.2 | 间接 |
| PyPI | packaging | 25.0 | 间接 |
| PyPI | pandas | — | 间接 |
| PyPI | pandas | 2.3.2 | 间接 |
| PyPI | pandas | 2.3.3 | 间接 |
| PyPI | pandas | 3.0.3 | 间接 |
| PyPI | pillow | — | 间接 |
| PyPI | pillow | 11.3.0 | 间接 |
| PyPI | platformdirs | 4.3.8 | 间接 |
| PyPI | playwright | — | 间接 |
| PyPI | pluggy | 1.6.0 | 间接 |
| PyPI | polars | 1.33.1 | 间接 |
| PyPI | pre-commit | 4.3.0 | 间接 |
| PyPI | prettytable | 3.18.0 | 间接 |
| PyPI | propcache | 0.3.2 | 间接 |
| PyPI | protobuf | 6.32.0 | 间接 |
| PyPI | psutil | — | 间接 |
| PyPI | pulp | 3.3.0 | 间接 |
| PyPI | pyarrow | — | 间接 |
| PyPI | pyarrow | 21.0.0 | 间接 |
| PyPI | pyarrow | 23.0.0 | 间接 |
| PyPI | pyasn1 | 0.6.1 | 间接 |
| PyPI | pyasn1-modules | 0.4.2 | 间接 |
| PyPI | pycparser | 2.22 | 间接 |
| PyPI | pydantic | 2.11.7 | 间接 |
| PyPI | pydantic | 2.12.5 | 间接 |
| PyPI | pydantic-core | 2.33.2 | 间接 |
| PyPI | pydantic-core | 2.41.5 | 间接 |
| PyPI | pygments | 2.19.2 | 间接 |
| PyPI | pymilvus | — | 间接 |
| PyPI | pyomo | 6.9.5 | 间接 |
| PyPI | pyparsing | 3.2.3 | 间接 |
| PyPI | pyproject-hooks | 1.2.0 | 间接 |
| PyPI | pyright | 1.1.407 | 间接 |
| PyPI | pytest | 8.4.1 | 间接 |
| PyPI | python-dateutil | 2.9.0.post0 | 间接 |
| PyPI | python-dotenv | 1.1.1 | 间接 |
| PyPI | pytz | 2025.2 | 间接 |
| PyPI | pywin32 | 311 | 间接 |
| PyPI | pywin32-ctypes | 0.2.3 | 间接 |
| PyPI | pyyaml | — | 间接 |
| PyPI | pyyaml | 6.0.2 | 间接 |
| PyPI | qdrant-client | — | 间接 |
| PyPI | readme-renderer | 44.0 | 间接 |
| PyPI | referencing | 0.36.2 | 间接 |
| PyPI | regex | 2025.7.34 | 间接 |
| PyPI | requests | 2.34.2 | 间接 |
| PyPI | requests-toolbelt | 1.0.0 | 间接 |
| PyPI | rfc3986 | 2.0.0 | 间接 |
| PyPI | rich | 14.1.0 | 间接 |
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| PyPI | rsa | 4.9.1 | 间接 |
| PyPI | ruff | 0.12.10 | 间接 |
| PyPI | scikit-learn | 1.6.1 | 间接 |
| PyPI | scikit-learn | 1.7.1 | 间接 |
| PyPI | scipy | — | 间接 |
| PyPI | scipy | 1.15.3 | 间接 |
| PyPI | scipy | 1.16.1 | 间接 |
| PyPI | scrapy | 2.13.3 | 间接 |
| PyPI | seaborn | — | 间接 |
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| PyPI | semver | 3.0.4 | 间接 |
| PyPI | sentry-sdk | 2.35.2 | 间接 |
| PyPI | setuptools | 80.9.0 | 间接 |
| PyPI | shapely | 2.0.7 | 间接 |
| PyPI | six | 1.17.0 | 间接 |
| PyPI | skops | 0.14.0 | 间接 |
| PyPI | smmap | 5.0.2 | 间接 |
| PyPI | sniffio | 1.3.1 | 间接 |
| PyPI | sqlalchemy | 2.0.43 | 间接 |
| PyPI | sqlalchemy | 2.0.44 | 间接 |
| PyPI | sqlparse | 0.5.3 | 间接 |
| PyPI | starlette | 0.47.3 | 间接 |
| PyPI | statsmodels | 0.14.5 | 间接 |
| PyPI | swesmith | 0.0.9 | 间接 |
| PyPI | sympy | 1.13.1 | 间接 |
| PyPI | tenacity | 9.1.4 | 间接 |
| PyPI | threadpoolctl | 3.6.0 | 间接 |
| PyPI | tiktoken | 0.11.0 | 间接 |
| PyPI | tiktoken | 0.12.0 | 间接 |
| PyPI | tokenizers | 0.21.4 | 间接 |
| PyPI | tomli | 2.2.1 | 间接 |
| PyPI | tqdm | 4.67.1 | 间接 |
| PyPI | twine | 6.1.0 | 间接 |
| PyPI | typing-extensions | 4.14.1 | 间接 |
| PyPI | typing-inspection | 0.4.1 | 间接 |
| PyPI | typing-inspection | 0.4.2 | 间接 |
| PyPI | tzdata | 2025.2 | 间接 |
| PyPI | urllib3 | 2.5.0 | 间接 |
| PyPI | uuid-utils | 0.17.0 | 间接 |
| PyPI | uvicorn | 0.35.0 | 间接 |
| PyPI | virtualenv | 20.34.0 | 间接 |
| PyPI | waitress | 3.0.2 | 间接 |
| PyPI | wandb | — | 间接 |
| PyPI | wandb | 0.28.0 | 间接 |
| PyPI | wcwidth | 0.8.2 | 间接 |
| PyPI | weaviate-client | — | 间接 |
| PyPI | websockets | 15.0.1 | 间接 |
| PyPI | werkzeug | 3.1.3 | 间接 |
| PyPI | wheel | 0.45.1 | 间接 |
| PyPI | xarray | 2024.7.0 | 间接 |
| PyPI | xxhash | 3.5.0 | 间接 |
| PyPI | yarl | 1.20.1 | 间接 |
| PyPI | zipp | 3.23.0 | 间接 |
| PyPI | zstandard | 0.25.0 | 间接 |
原始 JSON 报告 机器可读
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"status": "missed",
"details": [],
"max_points": 2.5
},
{
"key": "code_review",
"name": "Code-Review",
"detail": "Found 5/30 approved changesets -- score normalized to 1",
"points": 0.8,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
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"detail": "project has 7 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": [],
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},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "update tool detected",
"points": 7.5,
"status": "met",
"details": [],
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},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "license",
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"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "30 commit(s) and 1 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 8",
"points": 4,
"status": "partial",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
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"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": "96 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"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": 4
},
"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
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]
}
],
"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": 67,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "good",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
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"value": 75,
"inputs": {
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"legible_history_share": null,
"agent_instruction_files": [
"AGENTS.md",
"CLAUDE.md"
],
"agent_instruction_max_bytes": 1076
},
"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": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "moderate",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice, Automated maintenance. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice",
"automated_maintenance"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 66,
"inputs": {
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"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [
"pyrightconfig.json",
"src/gepa/py.typed"
],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": null
},
"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": null,
"points": 11,
"status": "met",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "pyrightconfig.json, src/gepa/py.typed",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "pyrightconfig.json, src/gepa/py.typed"
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}
],
"max_points": 11
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{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
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"points": 0,
"status": "excluded",
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{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 8
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{
"key": "openssf_scorecard_pinned_dependencies",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
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"note": null,
"notes": [],
"value": 81,
"inputs": {
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"largest_source_bytes": 143180,
"source_files_sampled": 197,
"oversized_source_files": 2
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"components": [
{
"key": "type_checkable_code",
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"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
"params": {
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"language": "Jupyter Notebook"
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}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
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"points": 54.4,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
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"sampled": 197,
"oversized": 2
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],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
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"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
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"notebooks"
],
"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
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"detail": "examples, notebooks",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples, notebooks"
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],
"max_points": 40
}
]
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],
"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."
}
],
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},
"warnings": [],
"report_type": "repository",
"generated_at": "2026-07-17T21:20:46.916514Z",
"schema_version": "0.12.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/g/gepa-ai/gepa.svg",
"full_name": "gepa-ai/gepa",
"license_state": "standard",
"license_spdx": "MIT"
}