公开记录优秀
软件健康报告模式 0.12.0 · 指标 1.13.0 · 2026-07-18 13:16 UTC
pydantic / logfire
AI observability platform for production LLM and agent systems.
pydantic/logfire 的健康指数为 100 分中的 86 分，处于「优秀」区间。 其得分最高的类别是Vitality（99/100），最低的是Sustainability & Governance（77/100）。 最近一次更新在今天。 近期的大部分工作由 2 位贡献者完成。
86
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。
86
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 | logfire-api | 4.37.0 | 23,467,252 | 139 | 35 天前 |
| PyPI | logfire | 4.37.0 | - | 186 | 35 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？
99
开发活跃度
99优秀
评分方式
| 36/36 | 推送新近度 — 最近一次推送于 0 天前 |
| 35.3/36 | 提交节奏 — 52 周中有 51 周有提交 |
| 18/18 | 提交量 — 最近一年 478 次提交 |
| 10/10 | OpenSSF Scorecard：Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
所用输入
| commits_last_year | 478 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 51 |
发布纪律
100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 35 天前 |
| 27/27 | 发布节奏 — 约每 8.6 天发布一次 |
| 0/10 | OpenSSF Scorecard：Signed-Releases — 无数据 |
所用输入
| releases_count | 100 |
| latest_release_tag | v4.37.0 |
| releases_from_tags | 否 |
| days_since_latest_release | 35 |
| mean_days_between_releases | 8.6 |
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？
84
流行度与采用
86优秀
评分方式
| 59.1/60 | 星标 — 4,380 个星标 |
| 20.2/25 | 复刻 — 264 个复刻 |
| 6.8/15 | 关注者 — 18 位关注者 |
所用输入
| forks | 264 |
| stars | 4,380 |
| watchers | 18 |
| 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 23,467,252 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 | logfire-api, logfire |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 23,467,252 |
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？
77
维护者韧性（巴士系数）
62中等
评分方式
| 25.2/54 | 巴士系数 — 2 位贡献者贡献了半数提交 |
| 13.4/22.5 | 提交分布 — 头号贡献者编写了 40% 的提交 |
| 13.5/13.5 | 贡献者广度 — 100 位贡献者 |
| 10/10 | OpenSSF Scorecard：Contributors — project has 33 contributing companies or organizations |
所用输入
| bus_factor | 2 |
| contributors_sampled | 100 |
| top_contributor_share | 0.405 |
议题与 PR 响应能力
78良好
评分方式
| 32.4/46.8 | 议题解决 — 69% 的议题已关闭 |
| 34.9/38.3 | PR 接受 — 已裁定的 PR 中 1,298/1,421 已合并 |
| 10.5/15 | OpenSSF Scorecard：Code-Review — Found 22/28 approved changesets -- score normalized to 7 |
所用输入
| merged_prs | 1,298 |
| open_issues | 177 |
| closed_issues | 402 |
| issue_closed_ratio | 0.694 |
| closed_unmerged_prs | 123 |
所有权与托管责任
76良好
评分方式
| 30/30 | 所有权背书 — 组织持有 |
| 0/20 | 已验证域名 |
| 24.9/25 | 所有者影响力 — pydantic 有 2,891 位关注者 |
| 20.9/25 | 既往记录 — 79 个公开仓库，账户约 3 年 |
所用输入
| followers | 2,891 |
| owner_type | Organization |
| is_verified | — |
| owner_login | pydantic |
| public_repos | 79 |
| account_age_days | 1,440 |
软件包维护
100优秀
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 35 天前 |
| 20/20 | 版本历史 — 186 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 | logfire-api, logfire |
| ecosystems | pypi |
| any_deprecated | 否 |
| min_days_since_publish | 35 |
工程质量
基础的工程与文档实践是否到位？
92
工程实践
94优秀
评分方式
| 24/24 | CI 工作流 — 6 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
90优秀
评分方式
| 30/30 | README |
| 25/25 | 文档目录 |
| 15/15 | 文档 / 主页站点 — https://pydantic.dev/logfire/ |
| 10/10 | 仓库描述 |
| 10/10 | 主题标签 — 16 个主题标签 |
| 0/10 | Wiki |
所用输入
| topics | fastapi, logging, observability, openai, opentelemetry, pydantic, python, trace, metrics, ai, ai-tools, pydantic-ai, agent-observability, ai-observability, evals, llm-observability |
| has_wiki | 否 |
| homepage | https://pydantic.dev/logfire/ |
| 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？
79
安全态势
79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 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 5.2/7.5 | Code-Review — Found 22/28 approved changesets -- score normalized to 7 |
| 2.5/2.5 | Contributors — project has 33 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 4 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 5/5 | Pinned-Dependencies — all dependencies are pinned |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — 无数据 |
| 6.8/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 4.5/7.5 | Vulnerabilities — 4 existing vulnerabilities detected |
所用输入
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 7.9 |
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。
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。
83
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 | 6,591 |
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）
100优秀
评分方式
| 18/18 | 一条命令的引导启动 — Makefile |
| 22/22 | 自动化测试 |
| 11/11 | Lint / 格式化配置 |
| 11/11 | 静态类型检查 — logfire-api/logfire_api/py.typed, logfire/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 |
| 10/10 | OpenSSF Scorecard：Pinned-Dependencies — all dependencies are pinned |
所用输入
| has_nix | 否 |
| has_tests | 是 |
| lockfiles | package-lock.json, uv.lock |
| has_dockerfile | 否 |
| typed_language | 否 |
| bootstrap_files | Makefile |
| has_devcontainer | 否 |
| has_linter_config | 是 |
| typecheck_configs | logfire-api/logfire_api/py.typed, logfire/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
79良好
评分方式
| 27/45 | 可类型检查的代码 — Python，已配置类型检查（logfire-api/logfire_api/py.typed, logfire/py.typed） |
| 51.8/55 | 可控的文件大小 — 采样的 256 个源文件中有 15 个超过 60KB |
所用输入
| primary_language | Python |
| largest_source_bytes | 249,473 |
| source_files_sampled | 256 |
| oversized_source_files | 15 |
机器可读接口
60中等
评分方式
| 0/40 | API 模式（OpenAPI/GraphQL/proto） |
| 20/20 | MCP 服务器 |
| 40/40 | 可运行示例 — examples |
所用输入
| example_dirs | examples |
| has_mcp_signal | 是 |
| api_schema_files | — |
关键数据
4,380GitHub 星标
100贡献者
478最近 12 个月提交数
0距最近推送天数
100发布版本数
2巴士系数（bus factor）
177开放议题
npm, PyPI软件包生态系统数
数据采集警告
- Could not fetch npm package 'pyodide_test' from its registry
更多细节
OpenSSF Scorecard 7.9 / 10
7.9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 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 7 | Code-Review | Found 22/28 approved changesets -- score normalized to 7 |
| 10 | Contributors | project has 33 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 4 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 10 | Pinned-Dependencies | all dependencies are pinned |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 10 | Security-Policy | security policy file detected |
| 不适用 | Signed-Releases | no releases found |
| 9 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 6 | Vulnerabilities | 4 existing vulnerabilities detected |
直接依赖 9
| 注册表 | 软件包 | 版本约束 | 清单文件 |
|---|---|---|---|
| npm | pyodide | ^0.29.3 | pyodide_test/package.json |
| PyPI | opentelemetry-sdk | >= 1.39.0, < 1.44.0 | pyproject.toml |
| PyPI | opentelemetry-exporter-otlp-proto-http | >= 1.39.0, < 1.44.0 | pyproject.toml |
| PyPI | opentelemetry-instrumentation | >= 0.41b0 | pyproject.toml |
| PyPI | rich | >= 13.4.2 | pyproject.toml |
| PyPI | protobuf | >= 4.23.4 | pyproject.toml |
| PyPI | typing-extensions | >= 4.1.0 | pyproject.toml |
| PyPI | tomli | >= 2.0.1 | pyproject.toml |
| PyPI | executing | >= 2.0.1 | pyproject.toml |
全部依赖 274
来自 GitHub 依赖图的完整解析依赖集合：9 个直接依赖与 265 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 |
|---|---|---|---|
| npm | pyodide | 0.29.3 | 直接 |
| PyPI | executing | 2.2.1 | 直接 |
| PyPI | opentelemetry-exporter-otlp-proto-http | 1.43.0 | 直接 |
| PyPI | opentelemetry-instrumentation | 0.64b0 | 直接 |
| PyPI | opentelemetry-sdk | 1.43.0 | 直接 |
| PyPI | protobuf | 7.35.1 | 直接 |
| PyPI | rich | 15.0.0 | 直接 |
| PyPI | tomli | 2.4.1 | 直接 |
| PyPI | typing-extensions | 4.16.0 | 直接 |
| npm | @types/emscripten | 1.41.5 | 间接 |
| npm | ws | 8.21.0 | 间接 |
| PyPI | aiofile | 3.11.1 | 间接 |
| PyPI | aiofile | 3.9.0 | 间接 |
| PyPI | aiohappyeyeballs | 2.7.1 | 间接 |
| PyPI | aiohttp | 3.14.1 | 间接 |
| PyPI | aiosignal | 1.4.0 | 间接 |
| PyPI | aiosqlite | 0.21.0 | 间接 |
| PyPI | amqp | 5.3.1 | 间接 |
| PyPI | annotated-doc | 0.0.4 | 间接 |
| PyPI | annotated-types | 0.7.0 | 间接 |
| PyPI | anthropic | 0.116.0 | 间接 |
| PyPI | anyio | 4.14.1 | 间接 |
| PyPI | asgiref | 3.11.1 | 间接 |
| PyPI | ast-serialize | 0.6.0 | 间接 |
| PyPI | asttokens | 3.0.1 | 间接 |
| PyPI | async-timeout | 5.0.1 | 间接 |
| PyPI | asyncer | 0.0.8 | 间接 |
| PyPI | asyncpg | 0.31.0 | 间接 |
| PyPI | attrs | 26.1.0 | 间接 |
| PyPI | authlib | 1.7.2 | 间接 |
| PyPI | backports-asyncio-runner | 1.2.0 | 间接 |
| PyPI | backports-tarfile | 1.2.0 | 间接 |
| PyPI | beartype | 0.22.9 | 间接 |
| PyPI | billiard | 4.2.4 | 间接 |
| PyPI | black | 26.5.1 | 间接 |
| PyPI | blinker | 1.9.0 | 间接 |
| PyPI | boto3 | 1.43.40 | 间接 |
| PyPI | botocore | 1.43.40 | 间接 |
| PyPI | cachetools | 7.1.4 | 间接 |
| PyPI | caio | 0.9.25 | 间接 |
| PyPI | celery | 5.6.3 | 间接 |
| PyPI | certifi | 2026.6.17 | 间接 |
| PyPI | cffi | 2.0.0 | 间接 |
| PyPI | cfgv | 3.5.0 | 间接 |
| PyPI | charset-normalizer | 3.4.7 | 间接 |
| PyPI | claude-agent-sdk | 0.2.110 | 间接 |
| PyPI | click | 8.4.2 | 间接 |
| PyPI | click-didyoumean | 0.3.1 | 间接 |
| PyPI | click-plugins | 1.1.1.2 | 间接 |
| PyPI | click-repl | 0.3.0 | 间接 |
| PyPI | cloudpickle | 3.1.2 | 间接 |
| PyPI | colorama | 0.4.6 | 间接 |
| PyPI | coverage | 7.15.0 | 间接 |
| PyPI | cryptography | 49.0.0 | 间接 |
| PyPI | dirty-equals | 0.11 | 间接 |
| PyPI | diskcache | 5.6.3 | 间接 |
| PyPI | distlib | 0.4.3 | 间接 |
| PyPI | distro | 1.9.0 | 间接 |
| PyPI | django | 5.2.15 | 间接 |
| PyPI | django | 6.0.6 | 间接 |
| PyPI | dnspython | 2.8.0 | 间接 |
| PyPI | docker | 7.1.0 | 间接 |
| PyPI | docstring-parser | 0.18.0 | 间接 |
| PyPI | dspy | 3.2.1 | 间接 |
| PyPI | email-validator | 2.3.0 | 间接 |
| PyPI | eval-type-backport | 0.4.0 | 间接 |
| PyPI | exceptiongroup | 1.3.1 | 间接 |
| PyPI | execnet | 2.1.2 | 间接 |
| PyPI | fast-depends | 3.0.8 | 间接 |
| PyPI | fastapi | 0.139.0 | 间接 |
| PyPI | fastmcp-slim | 3.4.3 | 间接 |
| PyPI | faststream | 0.7.1 | 间接 |
| PyPI | fastuuid | 0.14.0 | 间接 |
| PyPI | filelock | 3.29.5 | 间接 |
| PyPI | flask | 3.1.3 | 间接 |
| PyPI | frozenlist | 1.8.0 | 间接 |
| PyPI | fsspec | 2026.6.0 | 间接 |
| PyPI | genai-prices | 0.0.69 | 间接 |
| PyPI | gepa | 0.0.27 | 间接 |
| PyPI | google-auth | 2.55.1 | 间接 |
| PyPI | google-genai | 2.10.0 | 间接 |
| PyPI | googleapis-common-protos | 1.75.0 | 间接 |
| PyPI | greenlet | 3.5.3 | 间接 |
| PyPI | griffelib | 2.1.0 | 间接 |
| PyPI | h11 | 0.16.0 | 间接 |
| PyPI | hatchling | — | 间接 |
| PyPI | hf-xet | 1.5.1 | 间接 |
| PyPI | httpcore | 1.0.9 | 间接 |
| PyPI | httpcore2 | 2.5.0 | 间接 |
| PyPI | httpx | 0.28.1 | 间接 |
| PyPI | httpx-sse | 0.4.3 | 间接 |
| PyPI | httpx2 | 2.5.0 | 间接 |
| PyPI | huggingface-hub | 1.22.0 | 间接 |
| PyPI | identify | 2.6.19 | 间接 |
| PyPI | idna | 3.18 | 间接 |
| PyPI | importlib-metadata | 8.9.0 | 间接 |
| PyPI | iniconfig | 2.3.0 | 间接 |
| PyPI | inline-snapshot | 0.34.2 | 间接 |
| PyPI | itsdangerous | 2.2.0 | 间接 |
| PyPI | jaraco-classes | 3.4.0 | 间接 |
| PyPI | jaraco-context | 6.1.2 | 间接 |
| PyPI | jaraco-functools | 4.5.0 | 间接 |
| PyPI | jeepney | 0.9.0 | 间接 |
| PyPI | jinja2 | 3.1.6 | 间接 |
| PyPI | jiter | 0.16.0 | 间接 |
| PyPI | jmespath | 1.1.0 | 间接 |
| PyPI | joserfc | 1.7.2 | 间接 |
| PyPI | json-repair | 0.61.2 | 间接 |
| PyPI | jsonpatch | 1.33 | 间接 |
| PyPI | jsonpointer | 3.1.1 | 间接 |
| PyPI | jsonschema | 4.26.0 | 间接 |
| PyPI | jsonschema-specifications | 2025.9.1 | 间接 |
| PyPI | keyring | 25.7.0 | 间接 |
| PyPI | kombu | 5.6.2 | 间接 |
| PyPI | langchain | 1.3.11 | 间接 |
| PyPI | langchain-core | 1.4.8 | 间接 |
| PyPI | langchain-openai | 1.3.3 | 间接 |
| PyPI | langchain-protocol | 0.0.18 | 间接 |
| PyPI | langgraph | 1.2.7 | 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 | 0.9.7 | 间接 |
| PyPI | librt | 0.12.0 | 间接 |
| PyPI | litellm | 1.91.0 | 间接 |
| PyPI | logfire | 4.37.0 | 间接 |
| PyPI | logfire-api | 4.37.0 | 间接 |
| PyPI | loguru | 0.7.3 | 间接 |
| PyPI | markdown-it-py | 4.2.0 | 间接 |
| PyPI | markupsafe | 3.0.3 | 间接 |
| PyPI | mcp | 1.28.1 | 间接 |
| PyPI | mdurl | 0.1.2 | 间接 |
| PyPI | more-itertools | 11.1.0 | 间接 |
| PyPI | multidict | 6.7.1 | 间接 |
| PyPI | mypy | 2.1.0 | 间接 |
| PyPI | mypy-extensions | 1.1.0 | 间接 |
| PyPI | mysql-connector-python | 9.7.0 | 间接 |
| PyPI | nodeenv | 1.10.0 | 间接 |
| PyPI | numpy | 2.2.6 | 间接 |
| PyPI | numpy | 2.4.6 | 间接 |
| PyPI | numpy | 2.5.1 | 间接 |
| PyPI | openai | 2.44.0 | 间接 |
| PyPI | openai-agents | 0.17.7 | 间接 |
| PyPI | openinference-instrumentation | 0.1.54 | 间接 |
| PyPI | openinference-instrumentation-dspy | 0.1.37 | 间接 |
| PyPI | openinference-instrumentation-litellm | 0.1.34 | 间接 |
| PyPI | openinference-semantic-conventions | 0.1.30 | 间接 |
| PyPI | opentelemetry-api | 1.43.0 | 间接 |
| PyPI | opentelemetry-exporter-otlp-proto-common | 1.43.0 | 间接 |
| PyPI | opentelemetry-instrumentation-aiohttp-client | 0.64b0 | 间接 |
| PyPI | opentelemetry-instrumentation-aiohttp-server | 0.64b0 | 间接 |
| PyPI | opentelemetry-instrumentation-asgi | 0.64b0 | 间接 |
| PyPI | opentelemetry-instrumentation-asyncpg | 0.64b0 | 间接 |
| PyPI | opentelemetry-instrumentation-aws-lambda | 0.64b0 | 间接 |
| PyPI | opentelemetry-instrumentation-celery | 0.64b0 | 间接 |
| PyPI | opentelemetry-instrumentation-dbapi | 0.64b0 | 间接 |
| PyPI | opentelemetry-instrumentation-django | 0.64b0 | 间接 |
| PyPI | opentelemetry-instrumentation-fastapi | 0.64b0 | 间接 |
| PyPI | opentelemetry-instrumentation-flask | 0.64b0 | 间接 |
| PyPI | opentelemetry-instrumentation-google-genai | 0.7b1 | 间接 |
| PyPI | opentelemetry-instrumentation-httpx | 0.64b0 | 间接 |
| PyPI | opentelemetry-instrumentation-mysql | 0.64b0 | 间接 |
| PyPI | opentelemetry-instrumentation-psycopg | 0.64b0 | 间接 |
| PyPI | opentelemetry-instrumentation-psycopg2 | 0.64b0 | 间接 |
| PyPI | opentelemetry-instrumentation-pymongo | 0.64b0 | 间接 |
| PyPI | opentelemetry-instrumentation-redis | 0.64b0 | 间接 |
| PyPI | opentelemetry-instrumentation-requests | 0.64b0 | 间接 |
| PyPI | opentelemetry-instrumentation-sqlalchemy | 0.64b0 | 间接 |
| PyPI | opentelemetry-instrumentation-sqlite3 | 0.64b0 | 间接 |
| PyPI | opentelemetry-instrumentation-starlette | 0.64b0 | 间接 |
| PyPI | opentelemetry-instrumentation-system-metrics | 0.64b0 | 间接 |
| PyPI | opentelemetry-instrumentation-wsgi | 0.64b0 | 间接 |
| PyPI | opentelemetry-propagator-aws-xray | 1.0.2 | 间接 |
| PyPI | opentelemetry-proto | 1.43.0 | 间接 |
| PyPI | opentelemetry-semantic-conventions | 0.64b0 | 间接 |
| PyPI | opentelemetry-util-genai | 0.3b0 | 间接 |
| PyPI | opentelemetry-util-http | 0.64b0 | 间接 |
| PyPI | orjson | 3.11.9 | 间接 |
| PyPI | ormsgpack | 1.12.2 | 间接 |
| PyPI | packaging | 26.2 | 间接 |
| PyPI | pandas | 2.3.3 | 间接 |
| PyPI | pandas | 3.0.3 | 间接 |
| PyPI | pathspec | 1.1.1 | 间接 |
| PyPI | pip | 26.1.2 | 间接 |
| PyPI | platformdirs | 4.10.0 | 间接 |
| PyPI | pluggy | 1.6.0 | 间接 |
| PyPI | pre-commit | 4.6.0 | 间接 |
| PyPI | prompt-toolkit | 3.0.52 | 间接 |
| PyPI | propcache | 0.5.2 | 间接 |
| PyPI | psutil | 7.2.2 | 间接 |
| PyPI | psycopg | 3.3.4 | 间接 |
| PyPI | psycopg-binary | 3.3.4 | 间接 |
| PyPI | psycopg2-binary | 2.9.12 | 间接 |
| PyPI | py-key-value-aio | 0.4.5 | 间接 |
| PyPI | pyarrow | 24.0.0 | 间接 |
| PyPI | pyasn1 | 0.6.3 | 间接 |
| PyPI | pyasn1-modules | 0.4.2 | 间接 |
| PyPI | pycparser | 3.0 | 间接 |
| PyPI | pydantic | 2.13.4 | 间接 |
| PyPI | pydantic-ai-slim | 2.5.1 | 间接 |
| PyPI | pydantic-core | 2.46.4 | 间接 |
| PyPI | pydantic-evals | 2.5.1 | 间接 |
| PyPI | pydantic-graph | 2.5.1 | 间接 |
| PyPI | pydantic-handlebars | 0.2.1 | 间接 |
| PyPI | pydantic-settings | 2.14.2 | 间接 |
| PyPI | pygments | 2.20.0 | 间接 |
| PyPI | pyjwt | 2.13.0 | 间接 |
| PyPI | pymongo | 4.17.0 | 间接 |
| PyPI | pymysql | 1.2.0 | 间接 |
| PyPI | pyright | 1.1.411 | 间接 |
| PyPI | pytest | 9.1.1 | 间接 |
| PyPI | pytest-asyncio | 1.4.0 | 间接 |
| PyPI | pytest-django | 4.12.0 | 间接 |
| PyPI | pytest-examples | 0.0.18 | 间接 |
| PyPI | pytest-pretty | 1.3.0 | 间接 |
| PyPI | pytest-recording | 0.13.4 | 间接 |
| PyPI | pytest-timeout | 2.4.0 | 间接 |
| PyPI | pytest-xdist | 3.8.0 | 间接 |
| PyPI | python-dateutil | 2.9.0.post0 | 间接 |
| PyPI | python-discovery | 1.4.3 | 间接 |
| PyPI | python-dotenv | 1.2.2 | 间接 |
| PyPI | python-multipart | 0.0.32 | 间接 |
| PyPI | pytokens | 0.4.1 | 间接 |
| PyPI | pytz | 2026.2 | 间接 |
| PyPI | pywin32 | 312 | 间接 |
| PyPI | pywin32-ctypes | 0.2.3 | 间接 |
| PyPI | pyyaml | 6.0.3 | 间接 |
| PyPI | redis | 7.4.1 | 间接 |
| PyPI | referencing | 0.37.0 | 间接 |
| PyPI | regex | 2026.6.28 | 间接 |
| PyPI | requests | 2.34.2 | 间接 |
| PyPI | requests-mock | 1.12.1 | 间接 |
| PyPI | requests-toolbelt | 1.0.0 | 间接 |
| PyPI | rpds-py | 0.30.0 | 间接 |
| PyPI | rpds-py | 2026.6.3 | 间接 |
| PyPI | ruff | 0.15.20 | 间接 |
| PyPI | s3transfer | 0.19.0 | 间接 |
| PyPI | secretstorage | 3.5.0 | 间接 |
| PyPI | setuptools | 83.0.0 | 间接 |
| PyPI | six | 1.17.0 | 间接 |
| PyPI | sniffio | 1.3.1 | 间接 |
| PyPI | sqlalchemy | 2.0.51 | 间接 |
| PyPI | sqlmodel | 0.0.39 | 间接 |
| PyPI | sqlparse | 0.5.5 | 间接 |
| PyPI | sse-starlette | 3.4.5 | 间接 |
| PyPI | starlette | 1.3.1 | 间接 |
| PyPI | structlog | 26.1.0 | 间接 |
| PyPI | surrealdb | 2.0.0 | 间接 |
| PyPI | tenacity | 9.1.4 | 间接 |
| PyPI | testcontainers | 4.12.0 | 间接 |
| PyPI | tiktoken | 0.13.0 | 间接 |
| PyPI | tokenizers | 0.23.1 | 间接 |
| PyPI | tqdm | 4.68.3 | 间接 |
| PyPI | truststore | 0.10.4 | 间接 |
| PyPI | typeguard | 4.4.3 | 间接 |
| PyPI | types-requests | 2.33.0.20260518 | 间接 |
| PyPI | typing-inspection | 0.4.2 | 间接 |
| PyPI | tzdata | 2026.2 | 间接 |
| PyPI | tzlocal | 5.4.4 | 间接 |
| PyPI | urllib3 | 2.7.0 | 间接 |
| PyPI | uuid-utils | 0.16.2 | 间接 |
| PyPI | uvicorn | 0.50.2 | 间接 |
| PyPI | vcrpy | 8.3.0 | 间接 |
| PyPI | vine | 5.1.0 | 间接 |
| PyPI | virtualenv | 21.5.2 | 间接 |
| PyPI | wcwidth | 0.8.2 | 间接 |
| PyPI | websockets | 15.0.1 | 间接 |
| PyPI | werkzeug | 3.1.8 | 间接 |
| PyPI | win32-setctime | 1.2.0 | 间接 |
| PyPI | wrapt | 2.2.2 | 间接 |
| PyPI | xxhash | 3.8.1 | 间接 |
| PyPI | yarl | 1.24.2 | 间接 |
| PyPI | zipp | 4.1.0 | 间接 |
| PyPI | zstandard | 0.25.0 | 间接 |
原始 JSON 报告 机器可读
{
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"has_contributing": true,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
"status": "met",
"details": [],
"max_points": 22.5
},
{
"key": "license",
"name": "License",
"detail": "recognized license (MIT)",
"points": 22.5,
"status": "met",
"details": [
{
"code": "license_standard",
"params": {}
},
{
"code": "license_spdx",
"params": {
"spdx": "MIT"
}
}
],
"max_points": 22.5
},
{
"key": "contributing_guide",
"name": "CONTRIBUTING guide",
"detail": null,
"points": 18,
"status": "met",
"details": [],
"max_points": 18
},
{
"key": "code_of_conduct",
"name": "Code of conduct",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 13.5
},
{
"key": "issue_template",
"name": "Issue template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.2
},
{
"key": "pr_template",
"name": "PR template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.3
}
]
},
{
"key": "ecosystem_adoption",
"band": "excellent",
"name": "Ecosystem adoption (downloads)",
"note": "Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"registry_dependents"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 100,
"inputs": {
"packages": [
"logfire-api",
"logfire"
],
"dependents": null,
"ecosystems": "pypi",
"total_downloads": null,
"monthly_downloads": 23467252
},
"components": [
{
"key": "monthly_downloads",
"name": "Monthly downloads",
"detail": "23,467,252 downloads/month across pypi",
"points": 80,
"status": "met",
"details": [
{
"code": "downloads_monthly",
"params": {
"count": 23467252,
"ecosystems": "pypi"
}
}
],
"max_points": 80
},
{
"key": "registry_dependents",
"name": "Registry dependents",
"detail": "not reported by this ecosystem",
"points": 0,
"status": "excluded",
"details": [
{
"code": "not_reported_by_this_ecosystem",
"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
},
{
"key": "governance",
"band": "good",
"name": "Sustainability & Governance",
"value": 77,
"weight": 0.24,
"metrics": [
{
"key": "maintainer_resilience",
"band": "moderate",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
"value": 62,
"inputs": {
"bus_factor": 2,
"contributors_sampled": 100,
"top_contributor_share": 0.405
},
"components": [
{
"key": "bus_factor",
"name": "Bus factor",
"detail": "2 contributor(s) cover half of all commits",
"points": 25.2,
"status": "partial",
"details": [
{
"code": "bus_factor",
"params": {
"count": 2
}
}
],
"max_points": 54
},
{
"key": "commit_distribution",
"name": "Commit distribution",
"detail": "top contributor authored 40% of commits",
"points": 13.4,
"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 40
}
}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "100 contributors",
"points": 13.5,
"status": "met",
"details": [
{
"code": "contributors_sampled",
"params": {
"count": 100
}
}
],
"max_points": 13.5
},
{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "project has 33 contributing companies or organizations",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "good",
"name": "Issue & PR responsiveness",
"note": null,
"notes": [],
"value": 78,
"inputs": {
"merged_prs": 1298,
"open_issues": 177,
"closed_issues": 402,
"issue_closed_ratio": 0.694,
"closed_unmerged_prs": 123
},
"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "69% of issues closed",
"points": 32.4,
"status": "partial",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 69
}
}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "1298/1421 decided PRs merged",
"points": 34.9,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
"params": {
"merged": 1298,
"decided": 1421
}
}
],
"max_points": 38.25
},
{
"key": "openssf_scorecard_code_review",
"name": "OpenSSF Scorecard: Code-Review",
"detail": "Found 22/28 approved changesets -- score normalized to 7",
"points": 10.5,
"status": "partial",
"details": [],
"max_points": 15
}
]
},
{
"key": "stewardship",
"band": "good",
"name": "Ownership & stewardship",
"note": null,
"notes": [],
"value": 76,
"inputs": {
"followers": 2891,
"owner_type": "Organization",
"is_verified": null,
"owner_login": "pydantic",
"public_repos": 79,
"account_age_days": 1440
},
"components": [
{
"key": "ownership_backing",
"name": "Ownership backing",
"detail": "organization-owned",
"points": 30,
"status": "met",
"details": [
{
"code": "owner_organization",
"params": {}
}
],
"max_points": 30
},
{
"key": "verified_domain",
"name": "Verified domain",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "owner_reach",
"name": "Owner reach",
"detail": "2,891 followers of pydantic",
"points": 24.9,
"status": "partial",
"details": [
{
"code": "owner_followers",
"params": {
"count": 2891,
"login": "pydantic"
}
}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "79 public repos, account ~3 yr old",
"points": 20.9,
"status": "partial",
"details": [
{
"code": "public_repos",
"params": {
"count": 79
}
},
{
"code": "account_age_years",
"params": {
"years": 3
}
}
],
"max_points": 25
}
]
},
{
"key": "package_maintenance",
"band": "excellent",
"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"packages": [
"logfire-api",
"logfire"
],
"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 35
},
"components": [
{
"key": "published_resolvable",
"name": "Published & resolvable",
"detail": "2 package(s) on pypi",
"points": 25,
"status": "met",
"details": [
{
"code": "packages_published",
"params": {
"count": 2,
"ecosystems": "pypi"
}
}
],
"max_points": 25
},
{
"key": "publish_recency",
"name": "Publish recency",
"detail": "latest publish 35 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
"params": {
"days": 35
}
}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "186 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 186
}
}
],
"max_points": 20
},
{
"key": "not_deprecated",
"name": "Not deprecated",
"detail": "active, not deprecated or yanked",
"points": 20,
"status": "met",
"details": [
{
"code": "package_not_deprecated",
"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "excellent",
"name": "Engineering Quality",
"value": 92,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "excellent",
"name": "Engineering practices",
"note": null,
"notes": [],
"value": 94,
"inputs": {
"has_ci": true,
"has_tests": true,
"has_editorconfig": false,
"has_linter_config": true,
"has_precommit_config": true
},
"components": [
{
"key": "ci_workflows",
"name": "CI workflows",
"detail": "6 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
"params": {
"count": 6
}
}
],
"max_points": 24
},
{
"key": "tests_present",
"name": "Tests present",
"detail": null,
"points": 24,
"status": "met",
"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
"detail": null,
"points": 16,
"status": "met",
"details": [],
"max_points": 16
},
{
"key": "pre_commit_hooks",
"name": "Pre-commit hooks",
"detail": null,
"points": 9.6,
"status": "met",
"details": [],
"max_points": 9.6
},
{
"key": "editorconfig",
"name": ".editorconfig",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.4
},
{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
"detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
"points": 20,
"status": "met",
"details": [],
"max_points": 20
}
]
},
{
"key": "documentation",
"band": "excellent",
"name": "Documentation",
"note": null,
"notes": [],
"value": 90,
"inputs": {
"topics": [
"fastapi",
"logging",
"observability",
"openai",
"opentelemetry",
"pydantic",
"python",
"trace",
"metrics",
"ai",
"ai-tools",
"pydantic-ai",
"agent-observability",
"ai-observability",
"evals",
"llm-observability"
],
"has_wiki": false,
"homepage": "https://pydantic.dev/logfire/",
"has_readme": true,
"has_docs_dir": true,
"has_description": true
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 30,
"status": "met",
"details": [],
"max_points": 30
},
{
"key": "documentation_directory",
"name": "Documentation directory",
"detail": null,
"points": 25,
"status": "met",
"details": [],
"max_points": 25
},
{
"key": "documentation_homepage_site",
"name": "Documentation / homepage site",
"detail": "https://pydantic.dev/logfire/",
"points": 15,
"status": "met",
"details": [],
"max_points": 15
},
{
"key": "repository_description",
"name": "Repository description",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "topics",
"name": "Topics",
"detail": "16 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
"params": {
"count": 16
}
}
],
"max_points": 10
},
{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "good",
"name": "Security",
"value": 79,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "good",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"branch_protection",
"signed_releases"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 79,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 16,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 2,
"scorecard_aggregate": 7.9
},
"components": [
{
"key": "binary_artifacts",
"name": "Binary-Artifacts",
"detail": "no binaries found in the repo",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "branch_protection",
"name": "Branch-Protection",
"detail": "internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
},
{
"key": "code_review",
"name": "Code-Review",
"detail": "Found 22/28 approved changesets -- score normalized to 7",
"points": 5.2,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 33 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 4 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 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": 6.8,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "4 existing vulnerabilities detected",
"points": 4.5,
"status": "partial",
"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": 10
},
"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": 83,
"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": {}
}
],
"value": 75,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"agent_instruction_files": [
"AGENTS.md",
"CLAUDE.md"
],
"agent_instruction_max_bytes": 6591
},
"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": "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": {}
}
],
"value": 100,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"package-lock.json",
"uv.lock"
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"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
"Makefile"
],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [
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"logfire/py.typed"
],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": null
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Makefile"
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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": 11,
"status": "met",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "logfire-api/logfire_api/py.typed, logfire/py.typed",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "logfire-api/logfire_api/py.typed, logfire/py.typed"
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}
],
"max_points": 11
},
{
"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",
"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": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 8
},
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