公开记录
软件健康报告模式 0.11.0 · 指标 1.13.0 · 2026-07-17 02:40 UTC

pyathena-dev / pyathena

PyAthena is a Python DB API 2.0 (PEP 249) client for Amazon Athena.

PythonMIT★ 492 星标⑂ 108 复刻始于 2017年5月在 GitHub 上查看 ↗
#python#dbapi#aws#athena#sqlalchemy

pyathena-dev/pyathena 的健康指数为 100 分中的 69 分，处于「中等」区间。 其得分最高的类别是Vitality（86/100），最低的是Security（52/100）。 最近一次更新在 2 天前。 近期的大部分工作由 1 位贡献者完成。

69
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。

69
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

pyathena-dev组织
1 关注者3 个公开仓库始于 2026年2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
PyPIPyAthena3.35.222,577,2901802 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%

开发活跃度

84良好
评分方式
36/36推送新近度 — 最近一次推送于 2 天前
20.1/36提交节奏 — 52 周中有 29 周有提交
18/18提交量 — 最近一年 444 次提交
10/10OpenSSF Scorecard：Maintained — 30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
所用输入
commits_last_year444
human_commit_share—
days_since_last_push2
active_weeks_last_year29

发布纪律

90优秀
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 2 天前
27/27发布节奏 — 约每 15.1 天发布一次
0/10OpenSSF Scorecard：Signed-Releases — Project has not signed or included provenance with any releases.
所用输入
releases_count100
latest_release_tagv3.35.2
releases_from_tags否
days_since_latest_release2
mean_days_between_releases15.1

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？

71良好 · 占总体的 18%

流行度与采用

64中等
评分方式
43.7/60星标 — 492 个星标
16.9/25复刻 — 108 个复刻
3.3/15关注者 — 5 位关注者
所用输入
forks108
stars492
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

57中等
评分方式
22.5/22.5README
22.5/22.5许可证 — 可识别的许可证（MIT）
0/18CONTRIBUTING 指南
0/13.5行为准则
0/7.2议题模板
6.3/6.3PR 模板
所用输入
has_readme是
has_license是
has_contributing否
has_issue_template否
has_code_of_conduct否
has_pull_request_template是

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 22,577,290 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
packagesPyAthena
dependents—
ecosystemspypi
total_downloads—
monthly_downloads22,577,290
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？

60中等 · 占总体的 24%

维护者韧性（巴士系数）

34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
1.3/22.5提交分布 — 头号贡献者编写了 94% 的提交
13.5/13.5贡献者广度 — 33 位贡献者
10/10OpenSSF Scorecard：Contributors — project has 6 contributing companies or organizations
所用输入
bus_factor1
contributors_sampled33
top_contributor_share0.942

议题与 PR 响应能力

82良好
评分方式
45.8/46.8议题解决 — 98% 的议题已关闭
34.4/38.3PR 接受 — 已裁定的 PR 中 398/443 已合并
1.5/15OpenSSF Scorecard：Code-Review — Found 1/6 approved changesets -- score normalized to 1
所用输入
merged_prs398
open_issues6
closed_issues290
issue_closed_ratio0.98
closed_unmerged_prs45

所有权与托管责任

37存在风险
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
2.2/25所有者影响力 — pyathena-dev 有 1 位关注者
5.2/25既往记录 — 3 个公开仓库，账户约 0 年
所用输入
followers1
owner_typeOrganization
is_verified—
owner_loginpyathena-dev
public_repos3
account_age_days151

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 — 180 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
packagesPyAthena
ecosystemspypi
any_deprecated否
min_days_since_publish2

工程质量

基础的工程与文档实践是否到位？

74良好 · 占总体的 20%

工程实践

64中等
评分方式
24/24CI 工作流 — 7 个工作流
24/24存在测试
0/16Linter 配置
0/9.6Pre-commit 钩子
0/6.4.editorconfig
16/20OpenSSF Scorecard：CI-Tests — 6 out of 7 merged PRs checked by a CI test -- score normalized to 8
所用输入
has_ci是
has_tests是
has_editorconfig否
has_linter_config否
has_precommit_config否

文档

90优秀
评分方式
30/30README
25/25文档目录
15/15文档 / 主页站点 — https://pyathena.dev/
10/10仓库描述
10/10主题标签 — 5 个主题标签
0/10Wiki
所用输入
topicspython, dbapi, aws, athena, sqlalchemy
has_wiki否
homepagehttps://pyathena.dev/
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？

52中等 · 占总体的 16%

安全态势

52中等
评分方式
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — 无数据
2/2.5CI-Tests — 6 out of 7 merged PRs checked by a CI test -- score normalized to 8
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 1/6 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 6 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — 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 15 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
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 — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 12 existing vulnerabilities detected
所用输入
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate5.2
已排除计分（无数据或不适用）：branch_protection。 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。

82良好 · 占总体的 0%

AI 代理上下文与指引

75良好
评分方式
45/45代理指令 — 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_filesCLAUDE.md
agent_instruction_max_bytes4,482
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。

验证循环（构建 / 测试 / 类型检查）

87优秀
评分方式
18/18一条命令的引导启动 — .mise.toml, justfile
22/22自动化测试
0/11Lint / 格式化配置
11/11静态类型检查 — pyathena/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
10/10OpenSSF Scorecard：Pinned-Dependencies — all dependencies are pinned
所用输入
has_nix否
has_tests是
lockfilesPipfile.lock, uv.lock
has_dockerfile否
typed_language否
bootstrap_files.mise.toml, justfile
has_devcontainer否
has_linter_config否
typecheck_configspyathena/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

80良好
评分方式
27/45可类型检查的代码 — Python，已配置类型检查（pyathena/py.typed）
53.5/55可控的文件大小 — 采样的 147 个源文件中有 4 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes102,228
source_files_sampled147
oversized_source_files4

关键数据

492GitHub 星标
33贡献者
444最近 12 个月提交数
2距最近推送天数
100发布版本数
1巴士系数（bus factor）
6开放议题
PyPI软件包生态系统数

更多细节

OpenSSF Scorecard 5.2 / 10
5.2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 · 2026-07-17 02:40 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
8CI-Tests6 out of 7 merged PRs checked by a CI test -- score normalized to 8
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 1/6 approved changesets -- score normalized to 1
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 15 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities12 existing vulnerabilities detected
直接依赖 5
注册表软件包版本约束清单文件
PyPIboto3>=1.41.2pyproject.toml
PyPIbotocore>=1.41.2pyproject.toml
PyPItenacity>=4.1.0pyproject.toml
PyPIfsspec—pyproject.toml
PyPIpython-dateutil—pyproject.toml
全部依赖 93

来自 GitHub 依赖图的完整解析依赖集合：9 个直接依赖与 84 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
PyPIboto31.17.85直接
PyPIboto31.43.14直接
PyPIbotocore1.20.85直接
PyPIbotocore1.43.14直接
PyPIfsspec2024.12.0直接
PyPIpython-dateutil2.8.1直接
PyPIpython-dateutil2.9.0.post0直接
PyPItenacity7.0.0直接
PyPItenacity9.0.0直接
PyPIaccessible-pygments0.0.5间接
PyPIalabaster0.7.16间接
PyPIbabel2.16.0间接
PyPIbackports-asyncio-runner1.2.0间接
PyPIbeautifulsoup44.13.5间接
PyPIcertifi2024.12.14间接
PyPIcharset-normalizer3.4.1间接
PyPIcolorama0.4.6间接
PyPIcoverage7.6.10间接
PyPIdocutils0.21.2间接
PyPIexceptiongroup1.2.2间接
PyPIexecnet2.1.1间接
PyPIfuro2025.9.25间接
PyPIfuture0.18.2间接
PyPIgreenlet3.3.2间接
PyPIidna3.15间接
PyPIimagesize1.4.1间接
PyPIiniconfig2.0.0间接
PyPIjinja23.1.6间接
PyPIjmespath0.10.0间接
PyPIjmespath1.0.1间接
PyPIjpype11.2.1间接
PyPImarkdown-it-py3.0.0间接
PyPImarkdown-it-py4.0.0间接
PyPImarkupsafe3.0.2间接
PyPImdit-py-plugins0.5.0间接
PyPImdurl0.1.2间接
PyPImypy1.14.0间接
PyPImypy-extensions1.0.0间接
PyPImyst-parser4.0.1间接
PyPImyst-parser5.0.0间接
PyPInumpy1.20.3间接
PyPInumpy2.0.2间接
PyPInumpy2.3.4间接
PyPIpackaging24.2间接
PyPIpandas1.2.4间接
PyPIpandas2.2.3间接
PyPIpandas2.3.3间接
PyPIpluggy1.5.0间接
PyPIpolars1.36.1间接
PyPIpolars-runtime-321.36.1间接
PyPIpyarrow23.0.1间接
PyPIpyathena1.7.1间接
PyPIpyathenajdbc2.0.5间接
PyPIpygments2.20.0间接
PyPIpytest9.0.3间接
PyPIpytest-asyncio1.3.0间接
PyPIpytest-cov6.0.0间接
PyPIpytest-dependency0.6.0间接
PyPIpytest-xdist3.6.1间接
PyPIpytz2021.1间接
PyPIpytz2024.2间接
PyPIpyyaml6.0.3间接
PyPIrequests2.33.0间接
PyPIroman-numerals4.1.0间接
PyPIroman-numerals-py4.1.0间接
PyPIs3transfer0.17.0间接
PyPIs3transfer0.4.2间接
PyPIsetuptools78.1.1间接
PyPIsix1.16.0间接
PyPIsix1.17.0间接
PyPIsnowballstemmer2.2.0间接
PyPIsoupsieve2.8.4间接
PyPIsphinx7.4.7间接
PyPIsphinx8.2.3间接
PyPIsphinx-basic-ng1.0.0b2间接
PyPIsphinx-design0.6.1间接
PyPIsphinx-design0.7.0间接
PyPIsphinx-multiversion0.2.4间接
PyPIsphinxcontrib-applehelp2.0.0间接
PyPIsphinxcontrib-devhelp2.0.0间接
PyPIsphinxcontrib-htmlhelp2.1.0间接
PyPIsphinxcontrib-jsmath1.0.1间接
PyPIsphinxcontrib-qthelp2.0.0间接
PyPIsphinxcontrib-serializinghtml2.0.0间接
PyPIsphinxext-opengraph0.13.0间接
PyPIsqlalchemy2.0.46间接
PyPItomli2.2.1间接
PyPItypes-python-dateutil2.9.0.20241206间接
PyPItyping-extensions3.10.0.0间接
PyPItyping-extensions4.12.2间接
PyPItzdata2024.2间接
PyPIurllib31.26.5间接
PyPIurllib32.7.0间接
原始 JSON 报告 机器可读
{
  "data": {
    "repo": {
      "topics": [
        "python",
        "dbapi",
        "aws",
        "athena",
        "sqlalchemy"
      ],
      "is_fork": false,
      "size_kb": 20388,
      "has_wiki": false,
      "homepage": "https://pyathena.dev/",
      "languages": {
        "Just": 2209,
        "Jinja": 6152,
        "Python": 1444760
      },
      "pushed_at": "2026-07-14T15:35:52Z",
      "created_at": "2017-05-20T23:05:31Z",
      "owner_type": "Organization",
      "updated_at": "2026-07-14T14:59:46Z",
      "description": "PyAthena is a Python DB API 2.0 (PEP 249) client for Amazon Athena.",
      "is_archived": false,
      "is_disabled": false,
      "license_spdx": "MIT",
      "default_branch": "master",
      "primary_language": "Python",
      "significant_languages": [
        "Python"
      ]
    },
    "owner": {
      "blog": "https://pyathena.dev/",
      "name": null,
      "type": "Organization",
      "login": "pyathena-dev",
      "company": null,
      "followers": 1,
      "avatar_url": "https://avatars.githubusercontent.com/u/261716419?v=4",
      "created_at": "2026-02-15T07:03:00Z",
      "is_verified": null,
      "public_repos": 3,
      "account_age_days": 151
    },
    "activity": {
      "releases_count": 100,
      "commits_last_year": 444,
      "latest_release_at": "2026-07-14T15:36:27Z",
      "latest_release_tag": "v3.35.2",
      "releases_from_tags": false,
      "days_since_last_push": 2,
      "active_weeks_last_year": 29,
      "days_since_latest_release": 2,
      "mean_days_between_releases": 15.1
    },
    "community": {
      "has_readme": true,
      "has_license": true,
      "has_description": true,
      "has_contributing": false,
      "health_percentage": 50,
      "has_issue_template": false,
      "has_code_of_conduct": false,
      "has_pull_request_template": true
    },
    "ecosystem": {
      "packages": [
        {
          "name": "PyAthena",
          "exists": true,
          "license": null,
          "keywords": [
            "Development Status :: 4 - Beta",
            "Intended Audience :: Developers",
            "License :: OSI Approved :: MIT License",
            "Operating System :: OS Independent",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.10",
            "Programming Language :: Python :: 3.11",
            "Programming Language :: Python :: 3.12",
            "Programming Language :: Python :: 3.13",
            "Programming Language :: Python :: 3.14",
            "Topic :: Database :: Front-Ends"
          ],
          "ecosystem": "pypi",
          "matches_repo": true,
          "registry_url": "https://pypi.org/project/PyAthena/",
          "is_deprecated": false,
          "latest_version": "3.35.2",
          "repository_url": "https://github.com/pyathena-dev/PyAthena/",
          "versions_count": 180,
          "total_downloads": null,
          "dependents_count": null,
          "deprecation_note": null,
          "maintainers_count": null,
          "monthly_downloads": 22577290,
          "first_published_at": "2017-05-20T23:03:33.000472Z",
          "latest_published_at": "2026-07-14T15:36:19.057132Z",
          "latest_version_yanked": null,
          "days_since_latest_publish": 2
        }
      ]
    },
    "popularity": {
      "forks": 108,
      "stars": 492,
      "watchers": 5,
      "open_issues_and_prs": 6
    },
    "ai_readiness": {
      "has_nix": false,
      "example_dirs": [],
      "has_llms_txt": false,
      "has_dockerfile": false,
      "has_mcp_signal": false,
      "bootstrap_files": [
        ".mise.toml",
        "justfile"
      ],
      "api_schema_files": [],
      "has_devcontainer": false,
      "typecheck_configs": [
        "pyathena/py.typed"
      ],
      "largest_source_bytes": 102228,
      "source_files_sampled": 147,
      "oversized_source_files": 4,
      "agent_instruction_files": [
        "CLAUDE.md"
      ],
      "agent_instruction_max_bytes": 4482
    },
    "dependencies": {
      "manifests": [
        "pyproject.toml",
        "setup.cfg"
      ],
      "ecosystems": [
        "pypi"
      ],
      "dependencies": [
        {
          "name": "boto3",
          "manifest": "pyproject.toml",
          "ecosystem": "pypi",
          "version_constraint": ">=1.41.2"
        },
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                "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": "6 out of 7 merged PRs checked by a CI test -- score normalized to 8",
                "points": 2,
                "status": "partial",
                "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 1/6 approved changesets -- score normalized to 1",
                "points": 0.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 6 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 15 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": "all dependencies are pinned",
                "points": 5,
                "status": "met",
                "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": "Project has not signed or included provenance with any releases.",
                "points": 0,
                "status": "missed",
                "details": [],
                "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": "12 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": 8
            },
            "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": "good",
        "name": "AI Readiness",
        "value": 82,
        "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"
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              },
              {
                "code": "weights_renormalized",
                "params": {}
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            "value": 75,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "agent_instruction_files": [
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            },
            "components": [
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                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "CLAUDE.md",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "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": "excellent",
            "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": {}
              }
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            "value": 87,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "Pipfile.lock",
                "uv.lock"
              ],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
                ".mise.toml",
                "justfile"
              ],
              "has_devcontainer": false,
              "has_linter_config": false,
              "typecheck_configs": [
                "pyathena/py.typed"
              ],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": null
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": ".mise.toml, justfile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": ".mise.toml, justfile"
                    }
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                "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": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "pyathena/py.typed",
                "points": 11,
                "status": "met",
                "details": [
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                "max_points": 11
              },
              {
                "key": "reproducible_environment",
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                "detail": "lockfile",
                "points": 10,
                "status": "met",
                "details": [
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                "max_points": 10
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              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
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                    "params": {}
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                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
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                "points": 10,
                "status": "met",
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                "max_points": 10
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          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
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            "inputs": {
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              "largest_source_bytes": 102228,
              "source_files_sampled": 147,
              "oversized_source_files": 4
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              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (pyathena/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "pyathena/py.typed",
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              },
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                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "4/147 source files over 60KB",
                "points": 53.5,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
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                      "sampled": 147,
                      "oversized": 4
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              }
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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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    "metrics_version": "1.13.0"
  },
  "warnings": [],
  "report_type": "repository",
  "generated_at": "2026-07-17T02:40:45.953371Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/pyathena-dev/pyathena.svg",
  "full_name": "pyathena-dev/pyathena",
  "license_state": "standard",
  "license_spdx": "MIT"
}

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