Automated Machine Learning pipelines. Builds the Open Short Term Energy Forecasting package.
OpenSTEF/openstef 的健康指数为 100 分中的 83 分,处于「良好」区间。 其得分最高的类别是Vitality(96/100),最低的是AI Readiness(40/100)。 最近一次更新在 2 天前。 近期的大部分工作由 3 位贡献者完成。
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。
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。
| 注册表 | 软件包 | 版本 | 月下载量 | 版本数 | 最近发布 | 标签 |
|---|---|---|---|---|---|---|
| PyPI | openstef | 4.1.2 | - | 246 | 2 天前 | energyforecastingmachinelearning |
项目是否仍有生命——是否仍在编写代码,是否仍在发布版本?
| 36/36 | 推送新近度 — 最近一次推送于 2 天前 |
| 31.2/36 | 提交节奏 — 52 周中有 45 周有提交 |
| 18/18 | 提交量 — 最近一年 250 次提交 |
| 10/10 | OpenSSF Scorecard:Maintained — 30 commit(s) and 25 issue activity found in the last 90 days -- score normalized to 10 |
| commits_last_year | 250 |
| human_commit_share | — |
| days_since_last_push | 2 |
| active_weeks_last_year | 45 |
| 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 7.9 天发布一次 |
| 8/10 | OpenSSF Scorecard:Signed-Releases — 3 out of the last 3 releases have a total of 3 signed artifacts. |
| releases_count | 100 |
| latest_release_tag | v4.1.2 |
| releases_from_tags | 否 |
| days_since_latest_release | 2 |
| mean_days_between_releases | 7.9 |
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?
| 35.5/60 | 星标 — 155 个星标 |
| 14.2/25 | 复刻 — 52 个复刻 |
| 3.9/15 | 关注者 — 6 位关注者 |
| forks | 52 |
| stars | 155 |
| watchers | 6 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
| 22.5/22.5 | README |
| 22.5/22.5 | 许可证 — 可识别的许可证(MPL-2.0) |
| 18/18 | CONTRIBUTING 指南 |
| 13.5/13.5 | 行为准则 |
| 0/7.2 | 议题模板 |
| 6.3/6.3 | PR 模板 |
| has_readme | 是 |
| has_license | 是 |
| has_contributing | 是 |
| has_issue_template | 否 |
| has_code_of_conduct | 是 |
| has_pull_request_template | 是 |
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?
| 36/54 | 巴士系数 — 3 位贡献者贡献了半数提交 |
| 17.6/22.5 | 提交分布 — 头号贡献者编写了 22% 的提交 |
| 13.5/13.5 | 贡献者广度 — 47 位贡献者 |
| 10/10 | OpenSSF Scorecard:Contributors — project has 15 contributing companies or organizations |
| bus_factor | 3 |
| contributors_sampled | 47 |
| top_contributor_share | 0.22 |
| 38.7/46.8 | 议题解决 — 83% 的议题已关闭 |
| 31.9/38.3 | PR 接受 — 已裁定的 PR 中 692/831 已合并 |
| 13.5/15 | OpenSSF Scorecard:Code-Review — Found 24/25 approved changesets -- score normalized to 9 |
| merged_prs | 692 |
| open_issues | 35 |
| closed_issues | 168 |
| issue_closed_ratio | 0.828 |
| closed_unmerged_prs | 139 |
| 30/30 | 所有权背书 — 组织持有 |
| 0/20 | 已验证域名 |
| 14/25 | 所有者影响力 — OpenSTEF 有 87 位关注者 |
| 16/25 | 既往记录 — 7 个公开仓库,账户约 4 年 |
| followers | 87 |
| owner_type | Organization |
| is_verified | — |
| owner_login | OpenSTEF |
| public_repos | 7 |
| account_age_days | 1,713 |
| 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 — 246 个已发布版本 |
| 20/20 | 未被弃用 — 活跃,未被弃用或撤回 |
| packages | openstef |
| ecosystems | pypi |
| any_deprecated | 否 |
| min_days_since_publish | 2 |
基础的工程与文档实践是否到位?
| 24/24 | CI 工作流 — 8 个工作流 |
| 24/24 | 存在测试 |
| 16/16 | Linter 配置 — ruff.toml |
| 0/9.6 | 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 |
| has_ci | 是 |
| has_tests | 是 |
| has_editorconfig | 否 |
| has_linter_config | 是 |
| has_precommit_config | 否 |
| 30/30 | README |
| 25/25 | 文档目录 |
| 15/15 | 文档 / 主页站点 — https://openstef.github.io/openstef |
| 10/10 | 仓库描述 |
| 10/10 | 主题标签 — 7 个主题标签 |
| 10/10 | Wiki |
| topics | forecasting, energy, python, data-science, machine-learning, time-series, energy-forecasting |
| has_wiki | 是 |
| homepage | https://openstef.github.io/openstef |
| has_readme | 是 |
| has_docs_dir | 是 |
| has_description | 是 |
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?
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 5.2/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 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 |
| 6.8/7.5 | Code-Review — Found 24/25 approved changesets -- score normalized to 9 |
| 2.5/2.5 | Contributors — project has 15 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 25 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — 无数据 |
| 5/5 | Pinned-Dependencies — all dependencies are pinned |
| 4.5/5 | SAST — SAST tool detected but not run on all commits |
| 5/5 | Security-Policy — security policy file detected |
| 6/7.5 | Signed-Releases — 3 out of the last 3 releases have a total of 3 signed artifacts. |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 24 existing vulnerabilities detected |
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 7.2 |
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。
| 0/45 | 代理指令 — 没有 CLAUDE.md / AGENTS.md / 编辑器规则 |
| 0/15 | 机器可读文档(llms.txt) |
| 0/40 | 可读的提交历史 — 无数据 |
| has_llms_txt | 否 |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
| 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 — ruff.toml |
| 0/11 | 静态类型检查 |
| 10/10 | 可复现环境 — lockfile |
| 0/10 | 已体现的代理实践 — 无数据 |
| 5/8 | 自动化维护 — 已配置依赖自动化,但在抽样提交中未观察到 |
| 10/10 | OpenSSF Scorecard:Pinned-Dependencies — all dependencies are pinned |
| 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 | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
| 0/45 | 可类型检查的代码 — Python,未配置类型检查 |
| 55/55 | 可控的文件大小 — 采样的 419 个源文件中有 0 个超过 60KB |
| primary_language | Python |
| largest_source_bytes | 40,325 |
| source_files_sampled | 419 |
| oversized_source_files | 0 |
| 0/40 | API 模式(OpenAPI/GraphQL/proto) |
| 0/20 | MCP 服务器 |
| 40/40 | 可运行示例 — examples, notebooks |
| example_dirs | examples, notebooks |
| has_mcp_signal | 否 |
| api_schema_files | — |
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 |
| 7 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 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 |
| 9 | Code-Review | Found 24/25 approved changesets -- score normalized to 9 |
| 10 | Contributors | project has 15 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 25 issue activity found in the last 90 days -- score normalized to 10 |
| 不适用 | Packaging | packaging workflow not detected |
| 10 | Pinned-Dependencies | all dependencies are pinned |
| 9 | SAST | SAST tool detected but not run on all commits |
| 10 | Security-Policy | security policy file detected |
| 8 | Signed-Releases | 3 out of the last 3 releases have a total of 3 signed artifacts. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 24 existing vulnerabilities detected |
| 注册表 | 软件包 | 版本约束 | 清单文件 |
|---|---|---|---|
| PyPI | huggingface-hub | >=1.2.2 | docs/pyproject.toml |
| PyPI | ipython | >=9.4 | docs/pyproject.toml |
| PyPI | jupyter-cache | >=1 | docs/pyproject.toml |
| PyPI | jupytext | >=1.16 | docs/pyproject.toml |
| PyPI | kaleido | >=0.2.1,<0.3,!=0.2.1.post1 | docs/pyproject.toml |
| PyPI | matplotlib | >=3.10.5 | docs/pyproject.toml |
| PyPI | myst-nb | >=1.2 | docs/pyproject.toml |
| PyPI | openstef | — | docs/pyproject.toml |
| PyPI | openstef-beam | — | docs/pyproject.toml |
| PyPI | openstef-core | — | docs/pyproject.toml |
| PyPI | openstef-foundation-models | — | docs/pyproject.toml |
| PyPI | openstef-models | — | docs/pyproject.toml |
| PyPI | optuna | >=4.7 | docs/pyproject.toml |
| PyPI | pydata-sphinx-theme | >=0.16.1 | docs/pyproject.toml |
| PyPI | sphinx | >=8.2.3 | docs/pyproject.toml |
| PyPI | sphinx-autobuild | >=2024.10.3 | docs/pyproject.toml |
| PyPI | sphinx-autodoc-typehints | >=3.2 | docs/pyproject.toml |
| PyPI | sphinx-copybutton | >=0.5.2 | docs/pyproject.toml |
| PyPI | sphinx-design | >=0.6.1 | docs/pyproject.toml |
| PyPI | sphinx-gallery | >=0.19 | docs/pyproject.toml |
| PyPI | sphinx-prompt | >=1.10 | docs/pyproject.toml |
| PyPI | sphinx-pyproject | >=0.3 | docs/pyproject.toml |
| PyPI | sphinxcontrib-mermaid | >=0.9.2 | docs/pyproject.toml |
| PyPI | openstef | — | examples/pyproject.toml |
| PyPI | openstef-beam | — | examples/pyproject.toml |
| PyPI | openstef-core | — | examples/pyproject.toml |
| PyPI | openstef-models | — | examples/pyproject.toml |
| PyPI | openstef-core | — | pyproject.toml |
| PyPI | openstef-models | — | pyproject.toml |
来自 GitHub 依赖图的完整解析依赖集合:45 个直接依赖与 413 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 | huggingface-hub | — | 直接 |
| PyPI | huggingface-hub | 1.20.1 | 直接 |
| PyPI | ipython | — | 直接 |
| PyPI | ipython | 9.14.1 | 直接 |
| PyPI | jupyter-cache | — | 直接 |
| PyPI | jupyter-cache | 1.0.1 | 直接 |
| PyPI | jupytext | — | 直接 |
| PyPI | jupytext | 1.19.4 | 直接 |
| PyPI | kaleido | — | 直接 |
| PyPI | kaleido | 0.2.1 | 直接 |
| PyPI | matplotlib | — | 直接 |
| PyPI | matplotlib | 3.11.0 | 直接 |
| PyPI | myst-nb | — | 直接 |
| PyPI | myst-nb | 1.4.0 | 直接 |
| PyPI | openstef | — | 直接 |
| PyPI | openstef | 0.0.0 | 直接 |
| PyPI | openstef-beam | — | 直接 |
| PyPI | openstef-beam | 0.0.0 | 直接 |
| PyPI | openstef-core | — | 直接 |
| PyPI | openstef-core | 0.0.0 | 直接 |
| PyPI | openstef-foundation-models | 0.0.0 | 直接 |
| PyPI | openstef-models | — | 直接 |
| PyPI | openstef-models | 0.0.0 | 直接 |
| PyPI | optuna | — | 直接 |
| PyPI | optuna | 4.9.0 | 直接 |
| PyPI | pydata-sphinx-theme | — | 直接 |
| PyPI | pydata-sphinx-theme | 0.19.0 | 直接 |
| PyPI | sphinx | — | 直接 |
| PyPI | sphinx | 9.1.0 | 直接 |
| PyPI | sphinx-autobuild | — | 直接 |
| PyPI | sphinx-autobuild | 2025.8.25 | 直接 |
| PyPI | sphinx-autodoc-typehints | — | 直接 |
| PyPI | sphinx-autodoc-typehints | 3.11.0 | 直接 |
| PyPI | sphinx-copybutton | — | 直接 |
| PyPI | sphinx-copybutton | 0.5.2 | 直接 |
| PyPI | sphinx-design | — | 直接 |
| PyPI | sphinx-design | 0.7.0 | 直接 |
| PyPI | sphinx-gallery | — | 直接 |
| PyPI | sphinx-gallery | 0.21.0 | 直接 |
| PyPI | sphinx-prompt | — | 直接 |
| PyPI | sphinx-prompt | 1.10.2 | 直接 |
| PyPI | sphinx-pyproject | — | 直接 |
| PyPI | sphinx-pyproject | 0.3.0 | 直接 |
| PyPI | sphinxcontrib-mermaid | — | 直接 |
| PyPI | sphinxcontrib-mermaid | 2.0.2 | 直接 |
| PyPI | a2wsgi | 1.10.10 | 间接 |
| PyPI | accessible-pygments | 0.0.5 | 间接 |
| PyPI | aiobotocore | 3.7.0 | 间接 |
| PyPI | aiohappyeyeballs | 2.6.2 | 间接 |
| PyPI | aiohttp | 3.14.1 | 间接 |
| PyPI | aioitertools | 0.13.0 | 间接 |
| PyPI | aiosignal | 1.4.0 | 间接 |
| PyPI | aiosmtplib | 5.1.1 | 间接 |
| PyPI | aiosqlite | 0.21.0 | 间接 |
| PyPI | alabaster | 1.0.0 | 间接 |
| PyPI | alembic | 1.18.4 | 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 | antlr4-python3-runtime | 4.13.2 | 间接 |
| PyPI | anyio | 4.13.0 | 间接 |
| PyPI | apache-airflow | — | 间接 |
| PyPI | apache-airflow | 3.2.2 | 间接 |
| PyPI | apache-airflow-core | 3.2.2 | 间接 |
| PyPI | apache-airflow-providers-common-compat | 1.15.0 | 间接 |
| PyPI | apache-airflow-providers-common-io | 1.7.2 | 间接 |
| PyPI | apache-airflow-providers-common-sql | 2.0.0 | 间接 |
| PyPI | apache-airflow-providers-smtp | 3.0.1 | 间接 |
| PyPI | apache-airflow-providers-standard | 1.15.0 | 间接 |
| PyPI | apache-airflow-task-sdk | 1.2.2 | 间接 |
| PyPI | appnope | 0.1.4 | 间接 |
| PyPI | argcomplete | 3.6.3 | 间接 |
| PyPI | argon2-cffi | 25.1.0 | 间接 |
| PyPI | argon2-cffi-bindings | 25.1.0 | 间接 |
| PyPI | arrow | 1.4.0 | 间接 |
| PyPI | asgiref | 3.11.1 | 间接 |
| PyPI | asttokens | 3.0.1 | 间接 |
| PyPI | async-lru | 2.3.0 | 间接 |
| PyPI | attrs | 26.1.0 | 间接 |
| PyPI | aws-sam-translator | 1.110.0 | 间接 |
| PyPI | aws-xray-sdk | 2.15.0 | 间接 |
| PyPI | babel | 2.18.0 | 间接 |
| PyPI | backoff | 2.2.1 | 间接 |
| PyPI | beautifulsoup4 | 4.14.3 | 间接 |
| PyPI | billiard | 4.2.4 | 间接 |
| PyPI | bleach | 6.4.0 | 间接 |
| PyPI | blinker | 1.9.0 | 间接 |
| PyPI | boolean-py | 5.0 | 间接 |
| PyPI | boto3 | 1.43.0 | 间接 |
| PyPI | botocore | 1.43.0 | 间接 |
| PyPI | cachetools | 7.1.4 | 间接 |
| PyPI | cadwyn | 7.1.0 | 间接 |
| PyPI | cattrs | 24.1.3 | 间接 |
| PyPI | celery | — | 间接 |
| PyPI | celery | 5.6.3 | 间接 |
| PyPI | certifi | 2026.5.20 | 间接 |
| PyPI | cffi | 2.0.0 | 间接 |
| PyPI | cfn-lint | 1.51.2 | 间接 |
| PyPI | charset-normalizer | 3.4.7 | 间接 |
| PyPI | click | 8.4.1 | 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 | coloredlogs | 14.0 | 间接 |
| PyPI | colorlog | 6.10.1 | 间接 |
| PyPI | comm | 0.2.3 | 间接 |
| PyPI | configurator | 3.2.0 | 间接 |
| PyPI | contourpy | 1.3.3 | 间接 |
| PyPI | coverage | 7.14.1 | 间接 |
| PyPI | cron-descriptor | 2.0.8 | 间接 |
| PyPI | croniter | 6.2.2 | 间接 |
| PyPI | cryptography | 48.0.1 | 间接 |
| PyPI | cycler | 0.12.1 | 间接 |
| PyPI | dagster | — | 间接 |
| PyPI | dagster | 1.13.10 | 间接 |
| PyPI | dagster-graphql | 1.13.10 | 间接 |
| PyPI | dagster-pipes | 1.13.10 | 间接 |
| PyPI | dagster-shared | 1.13.10 | 间接 |
| PyPI | dagster-webserver | — | 间接 |
| PyPI | dagster-webserver | 1.13.10 | 间接 |
| PyPI | databricks-sdk | 0.112.0 | 间接 |
| PyPI | debugpy | 1.8.20 | 间接 |
| PyPI | decorator | 5.3.1 | 间接 |
| PyPI | defusedxml | 0.7.1 | 间接 |
| PyPI | depgather | 0.5.0 | 间接 |
| PyPI | deprecated | 1.3.1 | 间接 |
| PyPI | dill | 0.4.1 | 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 | docutils | 0.22.4 | 间接 |
| PyPI | dom-toml | 2.3.0 | 间接 |
| PyPI | domdf-python-tools | 3.10.0 | 间接 |
| PyPI | email-validator | 2.3.0 | 间接 |
| PyPI | execnet | 2.1.2 | 间接 |
| PyPI | executing | 2.2.1 | 间接 |
| PyPI | fastapi | 0.138.0 | 间接 |
| PyPI | fastapi-cli | 0.0.27 | 间接 |
| PyPI | fastjsonschema | 2.21.2 | 间接 |
| PyPI | filelock | 3.29.0 | 间接 |
| PyPI | flask | 3.1.3 | 间接 |
| PyPI | flask-cors | 6.0.2 | 间接 |
| PyPI | flatbuffers | 25.12.19 | 间接 |
| PyPI | fonttools | 4.63.0 | 间接 |
| PyPI | fqdn | 1.5.1 | 间接 |
| PyPI | frozenlist | 1.8.0 | 间接 |
| PyPI | fsspec | 2026.6.0 | 间接 |
| PyPI | gitdb | 4.0.12 | 间接 |
| PyPI | gitpython | 3.1.50 | 间接 |
| PyPI | google-auth | 2.53.0 | 间接 |
| PyPI | googleapis-common-protos | 1.75.0 | 间接 |
| PyPI | gql | 4.0.0 | 间接 |
| PyPI | graphene | 3.4.3 | 间接 |
| PyPI | graphql-core | 3.2.8 | 间接 |
| PyPI | graphql-relay | 3.2.0 | 间接 |
| PyPI | greenback | 1.3.0 | 间接 |
| PyPI | greenlet | 3.5.1 | 间接 |
| PyPI | grpcio | 1.81.0 | 间接 |
| PyPI | grpcio-health-checking | 1.81.0 | 间接 |
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| PyPI | httptools | 0.8.0 | 间接 |
| PyPI | httpx | 0.28.1 | 间接 |
| PyPI | humanfriendly | 10.0 | 间接 |
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| PyPI | idna | 3.17 | 间接 |
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| PyPI | importlib-metadata | 9.0.0 | 间接 |
| PyPI | iniconfig | 2.3.0 | 间接 |
| PyPI | ipykernel | 7.3.0 | 间接 |
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| PyPI | ipywidgets | 8.1.8 | 间接 |
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| PyPI | jedi | 0.20.0 | 间接 |
| PyPI | jinja2 | 3.1.6 | 间接 |
| PyPI | jmespath | 1.1.0 | 间接 |
| PyPI | joblib | — | 间接 |
| PyPI | joblib | 1.5.3 | 间接 |
| PyPI | joserfc | 1.6.8 | 间接 |
| PyPI | json5 | 0.14.0 | 间接 |
| PyPI | jsonpatch | 1.33 | 间接 |
| PyPI | jsonpath-ng | 1.8.0 | 间接 |
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| PyPI | jsonschema | 4.26.0 | 间接 |
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| PyPI | jupyter | — | 间接 |
| PyPI | jupyter | 1.1.1 | 间接 |
| PyPI | jupyter-builder | 1.0.2 | 间接 |
| PyPI | jupyter-client | 8.9.1 | 间接 |
| PyPI | jupyter-console | 6.6.3 | 间接 |
| PyPI | jupyter-core | 5.9.1 | 间接 |
| PyPI | jupyter-events | 0.12.1 | 间接 |
| PyPI | jupyter-lsp | 2.3.1 | 间接 |
| PyPI | jupyter-server | 2.20.0 | 间接 |
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| PyPI | jupyterlab | 4.6.0 | 间接 |
| PyPI | jupyterlab-pygments | 0.3.0 | 间接 |
| PyPI | jupyterlab-server | 2.28.0 | 间接 |
| PyPI | jupyterlab-widgets | 3.0.16 | 间接 |
| PyPI | kiwisolver | 1.5.0 | 间接 |
| PyPI | kombu | 5.6.2 | 间接 |
| PyPI | lark | 1.3.1 | 间接 |
| PyPI | lazy-object-proxy | 1.12.0 | 间接 |
| PyPI | libcst | 1.8.6 | 间接 |
| PyPI | license-expression | 30.4.4 | 间接 |
| PyPI | licensecheck | 2026.0.8 | 间接 |
| PyPI | lightgbm | — | 间接 |
| PyPI | lightgbm | 4.6.0 | 间接 |
| PyPI | linkify-it-py | 2.1.0 | 间接 |
| PyPI | lockfile | 0.12.2 | 间接 |
| PyPI | loguru | 0.7.3 | 间接 |
| PyPI | mako | 1.3.12 | 间接 |
| PyPI | markdown | 3.10.2 | 间接 |
| PyPI | markdown-it-py | 4.2.0 | 间接 |
| PyPI | markupsafe | 3.0.3 | 间接 |
| PyPI | matplotlib-inline | 0.2.2 | 间接 |
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| PyPI | notebook | 7.6.0 | 间接 |
| PyPI | notebook-shim | 0.2.4 | 间接 |
| PyPI | numpy | — | 间接 |
| PyPI | numpy | 2.4.6 | 间接 |
| PyPI | numpy-typing-compat | 20251206.2.4 | 间接 |
| PyPI | nvidia-cublas-cu12 | — | 间接 |
| PyPI | nvidia-cublas-cu12 | 12.9.2.10 | 间接 |
| PyPI | nvidia-cuda-nvrtc-cu12 | 12.9.86 | 间接 |
| PyPI | nvidia-cuda-runtime-cu12 | — | 间接 |
| PyPI | nvidia-cuda-runtime-cu12 | 12.9.79 | 间接 |
| PyPI | nvidia-cudnn-cu12 | — | 间接 |
| PyPI | nvidia-cudnn-cu12 | 9.23.2.1 | 间接 |
| PyPI | nvidia-cufft-cu12 | — | 间接 |
| PyPI | nvidia-cufft-cu12 | 11.4.1.4 | 间接 |
| PyPI | nvidia-curand-cu12 | — | 间接 |
| PyPI | nvidia-curand-cu12 | 10.3.10.19 | 间接 |
| PyPI | nvidia-nccl-cu12 | 2.30.4 | 间接 |
| PyPI | nvidia-nvjitlink-cu12 | 12.9.86 | 间接 |
| PyPI | onnxruntime | — | 间接 |
| PyPI | onnxruntime | 1.27.0 | 间接 |
| PyPI | onnxruntime-gpu | — | 间接 |
| PyPI | onnxruntime-gpu | 1.27.0 | 间接 |
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| PyPI | openapi-spec-validator | 0.9.0 | 间接 |
| PyPI | openstef-deployment-examples | 0.0.0 | 间接 |
| PyPI | openstef-docs | 0.0.0 | 间接 |
| PyPI | openstef-examples | 0.0.0 | 间接 |
| PyPI | openstef-meta | — | 间接 |
| PyPI | openstef-meta | 0.0.0 | 间接 |
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| PyPI | pydantic-core | 2.46.4 | 间接 |
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| PyPI | pydantic-settings | — | 间接 |
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| PyPI | pygments | 2.20.0 | 间接 |
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"points": 4.5,
"status": "partial",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "3 out of the last 3 releases have a total of 3 signed artifacts.",
"points": 6,
"status": "partial",
"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": "24 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": 7
},
"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": "at_risk",
"name": "AI Readiness",
"value": 40,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"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": 1,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"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. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 64,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"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": "ruff.toml",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "ruff.toml"
}
}
],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "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": "dependency automation configured, none observed in the sampled commits",
"points": 5,
"status": "partial",
"details": [
{
"code": "dependency_bot_config_only",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "all dependencies are pinned",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 55,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 40325,
"source_files_sampled": 419,
"oversized_source_files": 0
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "0/419 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 419,
"oversized": 0
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"examples",
"notebooks"
],
"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "examples, notebooks",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples, notebooks"
}
}
],
"max_points": 40
}
]
}
],
"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
"Could not fetch pypi package 'openstef-docs' from its registry",
"Could not fetch pypi package 'openstef-examples' from its registry"
],
"report_type": "repository",
"generated_at": "2026-07-19T16:00:17.771820Z",
"schema_version": "0.15.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/o/OpenSTEF/openstef.svg",
"full_name": "OpenSTEF/openstef",
"license_state": "standard",
"license_spdx": "MPL-2.0"
}