公开记录良好
软件健康报告模式 0.17.0 · 指标 1.13.0 · 2026-07-21 04:42 UTC
NVIDIA / TensorRT
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
NVIDIA/TensorRT 的健康指数为 100 分中的 70 分，处于「良好」区间。 其得分最高的类别是Community & Adoption（88/100），最低的是Security（21/100）。 最近一次更新在 13 天前。 近期的大部分工作由 3 位贡献者完成。
70
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。
70
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 | 标签 |
|---|---|---|---|---|---|---|
| PyPI | polygraphy | 0.50.3 | 211,647 | 12 | 54 天前 | — |
| PyPI | onnx_graphsurgeon | 0.6.1 | 719,076 | 8 | 103 天前 | — |
| PyPI | pytorch_quantization指向其他仓库——不计分 | 2.2.1 | - | 5 | 990 天前 | nvidiadeep-learningmachine-learningsupervised-learningunsupervised-learningreinforcement-learninglogging |
| PyPI | polygraphy_trtexec | 0.0.9 | - | 3 | 1062 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？
76
开发活跃度
60中等
评分方式
| 28.8/36 | 推送新近度 — 最近一次推送于 13 天前 |
| 12.5/36 | 提交节奏 — 52 周中有 18 周有提交 |
| 12.7/18 | 提交量 — 最近一年 25 次提交 |
| 0/10 | OpenSSF Scorecard：Maintained — 无数据 |
所用输入
| commits_last_year | 25 |
| human_commit_share | — |
| days_since_last_push | 13 |
| active_weeks_last_year | 18 |
发布纪律
100优秀
评分方式
| 27/27 | 有发布版本 — 已发布 70 个发布版本 |
| 36/36 | 发布时效 — 最近一次发布版本于 26 天前 |
| 27/27 | 发布节奏 — 约每 44.3 天发布一次 |
| 0/10 | OpenSSF Scorecard：Signed-Releases — 无数据 |
所用输入
| releases_count | 70 |
| latest_release_tag | v11.1 |
| releases_from_tags | 否 |
| days_since_latest_release | 26 |
| mean_days_between_releases | 44.3 |
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？
88
流行度与采用
97优秀
评分方式
| 60/60 | 星标 — 13,169 个星标 |
| 25/25 | 复刻 — 2,389 个复刻 |
| 12.2/15 | 关注者 — 157 位关注者 |
所用输入
| forks | 2,389 |
| stars | 13,169 |
| watchers | 157 |
| growth_state | organic |
| growth_factor_pct | 100 |
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（Apache-2.0） |
| 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）
99优秀
评分方式
| 79.6/80 | 月度下载量 — pypi 合计每月 930,723 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 | polygraphy, onnx_graphsurgeon, polygraphy_trtexec |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 930,723 |
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？
81
维护者韧性（巴士系数）
72良好
评分方式
| 36/54 | 巴士系数 — 3 位贡献者贡献了半数提交 |
| 15/22.5 | 提交分布 — 头号贡献者编写了 33% 的提交 |
| 13.5/13.5 | 贡献者广度 — 83 位贡献者 |
| 0/10 | OpenSSF Scorecard：Contributors — 无数据 |
所用输入
| bus_factor | 3 |
| contributors_sampled | 83 |
| top_contributor_share | 0.334 |
议题与 PR 响应能力
77良好
评分方式
| 40.5/46.8 | 议题解决 — 87% 的议题已关闭 |
| 25.1/38.3 | PR 接受 — 已裁定的 PR 中 323/492 已合并 |
| 0/15 | OpenSSF Scorecard：Code-Review — 无数据 |
所用输入
| merged_prs | 323 |
| open_issues | 560 |
| closed_issues | 3,657 |
| issue_closed_ratio | 0.867 |
| closed_unmerged_prs | 169 |
所有权与托管责任
80良好
评分方式
| 30/30 | 所有权背书 — 组织持有 |
| 0/20 | 已验证域名 |
| 25/25 | 所有者影响力 — NVIDIA 有 28,173 位关注者 |
| 25/25 | 既往记录 — 769 个公开仓库，账户约 14 年 |
所用输入
| followers | 28,173 |
| owner_type | Organization |
| is_verified | — |
| owner_login | NVIDIA |
| public_repos | 769 |
| account_age_days | 5,184 |
软件包维护
100优秀
评分方式
| 25/25 | 已发布且可解析 — pypi 上有 3 个软件包 |
| 35/35 | 发布时效 — 最近一次发布于 54 天前 |
| 20/20 | 版本历史 — 12 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 | polygraphy, onnx_graphsurgeon, polygraphy_trtexec |
| ecosystems | pypi |
| any_deprecated | 否 |
| min_days_since_publish | 54 |
工程质量
基础的工程与文档实践是否到位？
74
工程实践
80良好
评分方式
| 24/24 | CI 工作流 — 5 个工作流 |
| 24/24 | 存在测试 |
| 16/16 | Linter 配置 — .pylintrc |
| 0/9.6 | Pre-commit 钩子 |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard：CI-Tests — 无数据 |
所用输入
| has_ci | 是 |
| has_tests | 是 |
| has_editorconfig | 否 |
| has_linter_config | 是 |
| has_precommit_config | 否 |
文档
65中等
评分方式
| 30/30 | README |
| 0/25 | 文档目录 |
| 15/15 | 文档 / 主页站点 — https://developer.nvidia.com/tensorrt |
| 10/10 | 仓库描述 |
| 10/10 | 主题标签 — 5 个主题标签 |
| 0/10 | Wiki |
所用输入
| topics | tensorrt, nvidia, deep-learning, inference, gpu-acceleration |
| has_wiki | 否 |
| homepage | https://developer.nvidia.com/tensorrt |
| has_readme | 是 |
| has_docs_dir | 否 |
| 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？
21
安全态势
1危急
评分方式
| 0/30 | 安全策略（SECURITY.md） |
| 0/25 | Dependabot 配置 |
| 0/25 | 依赖锁定文件 — 已发布的类库——锁定文件属于应用层关注点，不作要求 |
| 0/20 | CodeQL 工作流 |
所用输入
| source | file_signals |
| lockfiles | — |
| manifests | python/requirements.txt |
| has_codeql_workflow | 否 |
| has_security_policy | 否 |
| has_dependabot_config | 否 |
已排除计分（无数据或不适用）：依赖锁定文件。 其余权重已重新归一化。
依赖安全公告
100优秀
评分方式
| 35/35 | 直接依赖不含已知公告 — 没有直接依赖携带已知公告 |
| 0/25 | 间接依赖不含已知公告 — 在此范围内，传递依赖集合无法与开发和测试依赖区分 |
| 0/40 | 没有长期未处理的公告 — 没有公告带有发布日期 |
所用输入
| source | osv |
| advisories | 744 |
| affected_packages | 29 |
| assessed_packages | 75 |
| unassessed_packages | 50 |
| affected_by_severity | critical 8, high 7, moderate 2, unknown 12 |
| direct_affected_packages | 0 |
已排除计分（无数据或不适用）：间接依赖不含已知公告, 没有长期未处理的公告。 其余权重已重新归一化。 已将 75 个已解析依赖与 OSV 比对。 有 50 项无法评估——没有已解析的版本、生态系统不受支持，或超出所报告的软件包清单。 该仓库未发布任何索引可解析的软件包，因此改为评估仓库依赖图。该图将开发与测试版本固定同交付的依赖混在一起，因此仅对声明的运行时依赖计分；传递性发现仅作为背景信息列出，不计入评分。 未对可达性进行分析。
AI 就绪度
该仓库在多大程度上具备与 AI 编码代理协同开发与维护的条件？这是一枚独立的实验性徽章——权重为 0.0，因此单独呈现，不影响总体健康评分。
54
AI 代理上下文与指引
1危急
评分方式
| 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 |
所用输入
| has_llms_txt | 否 |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
已排除计分（无数据或不适用）：可读的提交历史。 其余权重已重新归一化。
评分方式
| 18/18 | 一条命令的引导启动 — quickstart/Makefile, quickstart/SemanticSegmentation/Makefile, tools/Polygraphy/Makefile, tools/onnx-graphsurgeon/Makefile, tools/polygraphy-extension-trtexec/Makefile, tools/pytorch-quantization/docs/Makefile, tools/tensorflow-quantization/docs/Makefile |
| 22/22 | 自动化测试 |
| 11/11 | Lint / 格式化配置 — .pylintrc |
| 11/11 | 静态类型检查 — C++（静态类型） |
| 0/10 | 可复现环境 |
| 0/10 | 已体现的代理实践 — 无数据 |
| 0/8 | 自动化维护 — 无数据 |
| 0/10 | OpenSSF Scorecard：Pinned-Dependencies — 无数据 |
所用输入
| has_nix | 否 |
| has_tests | 是 |
| lockfiles | — |
| has_dockerfile | 否 |
| typed_language | 是 |
| bootstrap_files | quickstart/Makefile, quickstart/SemanticSegmentation/Makefile, tools/Polygraphy/Makefile, tools/onnx-graphsurgeon/Makefile, tools/polygraphy-extension-trtexec/Makefile, tools/pytorch-quantization/docs/Makefile, tools/tensorflow-quantization/docs/Makefile |
| has_devcontainer | 否 |
| has_linter_config | 是 |
| typecheck_configs | — |
| 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
90优秀
评分方式
| 45/45 | 可类型检查的代码 — C++（静态类型） |
| 44.8/55 | 可控的文件大小 — 采样的 1,073 个源文件中有 199 个超过 60KB |
所用输入
| primary_language | C++ |
| largest_source_bytes | 3,041,274 |
| source_files_sampled | 1,073 |
| oversized_source_files | 199 |
机器可读接口
40存在风险
评分方式
| 0/40 | API 模式（OpenAPI/GraphQL/proto） |
| 0/20 | MCP 服务器 |
| 40/40 | 可运行示例 — examples, notebooks, samples |
所用输入
| example_dirs | examples, notebooks, samples |
| has_mcp_signal | 否 |
| api_schema_files | — |
关键数据
13,169GitHub 星标
83贡献者
25最近 12 个月提交数
13距最近推送天数
70发布版本数
3巴士系数（bus factor）
560开放议题
PyPI软件包生态系统数
数据采集警告
- pypi package 'pytorch_quantization' points at a different repository (https://github.com/NVIDIA); excluded from ecosystem scoring
- Could not fetch pypi package 'tensorflow_quantization' from its registry
- Advisory severity resolved for 120 of 422 advisories (lookup cap); the remainder are reported as unknown severity
- OpenSSF Scorecard did not return a usable result (2026/07/21 04:41:52 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks
更多细节
Star 与 Fork 历史 13,169 ★ / 0 ⇿
13,169Star
每颗 star 和每个 fork 的添加时间，来自 GitHub 并按天汇总。累计增长位于其构成来源——每日新增——的正上方，二者可相互对照：稳定的自然增长与短暂的突增形态截然不同。当这一差别可被衡量时，它会作为增长真实性予以报告。
仅显示最近的历史——该仓库超出采集窗口，因此未采集最早的历史记录。
全部依赖 125
来自 GitHub 依赖图的完整解析依赖集合：0 个直接依赖与 125 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 | absl-py | — | 间接 |
| PyPI | accelerate | 1.2.1 | 间接 |
| PyPI | apex | 0.9.10dev | 间接 |
| PyPI | argparse | — | 间接 |
| PyPI | build | 1.0.0 | 间接 |
| PyPI | colored | — | 间接 |
| PyPI | colored | 2.3.2 | 间接 |
| PyPI | controlnet-aux | 0.0.6 | 间接 |
| PyPI | cuda-bindings | — | 间接 |
| PyPI | cuda-python | — | 间接 |
| PyPI | cuda-python | 12.9.0 | 间接 |
| PyPI | cupy-cuda12x | — | 间接 |
| PyPI | cupy-cuda12x | 13.6.0 | 间接 |
| PyPI | diffusers | 0.35.2 | 间接 |
| PyPI | docutils | 0.16 | 间接 |
| PyPI | docutils | 0.18.1 | 间接 |
| PyPI | ftfy | — | 间接 |
| PyPI | furo | 2024.8.6 | 间接 |
| PyPI | gcloud | — | 间接 |
| PyPI | google-cloud-storage | — | 间接 |
| PyPI | huggingface-hub | 0.11.0 | 间接 |
| PyPI | huggingface-hub | 0.4.0 | 间接 |
| PyPI | imageio-ffmpeg | — | 间接 |
| PyPI | matplotlib | — | 间接 |
| PyPI | ml-dtypes | — | 间接 |
| PyPI | mpi4py | 4.1.1 | 间接 |
| PyPI | myst-parser | 3.0.1 | 间接 |
| PyPI | nccl4py | 0.1.1 | 间接 |
| PyPI | nltk | 3.9.1 | 间接 |
| PyPI | numba | — | 间接 |
| PyPI | numba-cuda | — | 间接 |
| PyPI | numpy | — | 间接 |
| PyPI | numpy | 1.23.0 | 间接 |
| PyPI | numpy | 1.23.1 | 间接 |
| PyPI | numpy | 1.26.4 | 间接 |
| PyPI | nvidia-cutlass-dsl | 4.5.0 | 间接 |
| PyPI | nvidia-modelopt | 0.31.0 | 间接 |
| PyPI | nvidia-modelopt | 0.35.0 | 间接 |
| PyPI | nvidia-pyindex | — | 间接 |
| PyPI | nvidia-tensorrt | — | 间接 |
| PyPI | nvtx | — | 间接 |
| PyPI | onnx | — | 间接 |
| PyPI | onnx | 1.13.1 | 间接 |
| PyPI | onnx | 1.14.0 | 间接 |
| PyPI | onnx | 1.17.0 | 间接 |
| PyPI | onnx | 1.18.0 | 间接 |
| PyPI | onnx | 1.20.0 | 间接 |
| PyPI | onnx | 1.9.0 | 间接 |
| PyPI | onnx-graphsurgeon | — | 间接 |
| PyPI | onnx-graphsurgeon | 0.5.2 | 间接 |
| PyPI | onnxconverter-common | 1.12.2 | 间接 |
| PyPI | onnxmltools | 1.11.1 | 间接 |
| PyPI | onnxruntime | — | 间接 |
| PyPI | onnxruntime | 1.12.1 | 间接 |
| PyPI | onnxruntime | 1.15.0 | 间接 |
| PyPI | onnxruntime | 1.18.1 | 间接 |
| PyPI | onnxruntime | 1.19.2 | 间接 |
| PyPI | onnxruntime | 1.8.1 | 间接 |
| PyPI | onnxruntime-gpu | — | 间接 |
| PyPI | onnxscript | — | 间接 |
| PyPI | onnxscript | 0.5.4 | 间接 |
| PyPI | opencv-python-headless | 4.8.0.74 | 间接 |
| PyPI | peft | 0.17.0 | 间接 |
| PyPI | pillow | — | 间接 |
| PyPI | pillow | 11.3.0 | 间接 |
| PyPI | polygraphy | — | 间接 |
| PyPI | polygraphy | 0.49.0 | 间接 |
| PyPI | polygraphy | 0.49.22 | 间接 |
| PyPI | polygraphy | 0.50.1 | 间接 |
| PyPI | prettytable | — | 间接 |
| PyPI | protobuf | — | 间接 |
| PyPI | protobuf | 3.20.2 | 间接 |
| PyPI | protobuf | 3.20.3 | 间接 |
| PyPI | pycuda | — | 间接 |
| PyPI | pytest | — | 间接 |
| PyPI | pytest-console-scripts | — | 间接 |
| PyPI | pytest-rerunfailures | — | 间接 |
| PyPI | pytest-virtualenv | — | 间接 |
| PyPI | pytest-xdist | — | 间接 |
| PyPI | pywin32 | — | 间接 |
| PyPI | pyyaml | — | 间接 |
| PyPI | pyyaml | 6.0.3 | 间接 |
| PyPI | requests | 2.25.1 | 间接 |
| PyPI | requests | 2.32.4 | 间接 |
| PyPI | requests | 2.33.0 | 间接 |
| PyPI | scipy | — | 间接 |
| PyPI | sentencepiece | — | 间接 |
| PyPI | sentencepiece | 0.1.95 | 间接 |
| PyPI | sentencepiece | 0.1.97 | 间接 |
| PyPI | setuptools | — | 间接 |
| PyPI | sphinx | 7.1.2 | 间接 |
| PyPI | sphinx-glpi-theme | — | 间接 |
| PyPI | sympy | 1.9 | 间接 |
| PyPI | tabulate | — | 间接 |
| PyPI | tensorflow | — | 间接 |
| PyPI | tensorflow-gpu | 2.8.0 | 间接 |
| PyPI | tensorrt | — | 间接 |
| PyPI | tf2onnx | — | 间接 |
| PyPI | tf2onnx | 1.10.1 | 间接 |
| PyPI | toml | — | 间接 |
| PyPI | tomli | 2.0.0 | 间接 |
| PyPI | torch | — | 间接 |
| PyPI | torch | 1.10 | 间接 |
| PyPI | torch | 1.10.2 | 间接 |
| PyPI | torch | 1.10.2+cu113 | 间接 |
| PyPI | torch | 1.11.0 | 间接 |
| PyPI | torch | 1.11.0+cu113 | 间接 |
| PyPI | torch | 1.13.1 | 间接 |
| PyPI | torch | 2.8.0 | 间接 |
| PyPI | torch | 2.9.1 | 间接 |
| PyPI | torchvision | — | 间接 |
| PyPI | torchvision | 0.11.3 | 间接 |
| PyPI | torchvision | 0.12.0 | 间接 |
| PyPI | tqdm | 4.66.4 | 间接 |
| PyPI | transformers | 4.18.0 | 间接 |
| PyPI | transformers | 4.20.0 | 间接 |
| PyPI | transformers | 4.52.4 | 间接 |
| PyPI | triton | — | 间接 |
| PyPI | triton | 3.2.0 | 间接 |
| PyPI | triton | 3.5.0 | 间接 |
| PyPI | virtualenv | — | 间接 |
| PyPI | wget | — | 间接 |
| PyPI | wget | 3.2 | 间接 |
| PyPI | wheel | — | 间接 |
| PyPI | wheel | 0.45.1 | 间接 |
依赖安全公告 29
该仓库未发布可被索引解析的包，因此评估的是其自身的依赖图——共 75 个包，其中也包含从不交付的开发与测试版本固定：29 个存在已知公告，0 个为直接依赖。 有 50 个无法评估——没有已解析的版本、生态系统不受支持，或不在所列包清单之内。
| 软件包 | 版本 | 关系 | 严重程度 | 公告数 | 修复版本 |
|---|---|---|---|---|---|
| nltk | 3.9.1 | 间接 | 严重 | 18 | 3.10.0 |
| onnx | 1.13.1 | 间接 | 严重 | 21 | 1.22.0 |
| onnx | 1.14.0 | 间接 | 严重 | 21 | 1.22.0 |
| onnx | 1.17.0 | 间接 | 严重 | 14 | 1.22.0 |
| onnx | 1.18.0 | 间接 | 严重 | 13 | 1.22.0 |
| onnx | 1.20.0 | 间接 | 严重 | 13 | 1.22.0 |
| onnx | 1.9.0 | 间接 | 严重 | 23 | 1.22.0 |
| pillow | 11.3.0 | 间接 | 严重 | 31 | 12.3.0 |
| diffusers | 0.35.2 | 间接 | 高 | 5 | 0.38.0 |
| opencv-python-headless | 4.8.0.74 | 间接 | 高 | 2 | 4.8.1.78 |
| protobuf | 3.20.2 | 间接 | 高 | 4 | 6.33.5 |
| protobuf | 3.20.3 | 间接 | 高 | 4 | 6.33.5 |
| sentencepiece | 0.1.95 | 间接 | 高 | 2 | 0.2.1 |
| sentencepiece | 0.1.97 | 间接 | 高 | 2 | 0.2.1 |
| tensorflow-gpu | 2.8.0 | 间接 | 高 | 247 | 2.11.1 |
| requests | 2.25.1 | 间接 | 中 | 8 | 2.33.0 |
| requests | 2.32.4 | 间接 | 中 | 2 | 2.33.0 |
| torch | 1.10 | 间接 | 未知 | 30 | — |
| torch | 1.10.2 | 间接 | 未知 | 30 | — |
| torch | 1.10.2+cu113 | 间接 | 未知 | 30 | — |
| torch | 1.11.0 | 间接 | 未知 | 30 | — |
| torch | 1.11.0+cu113 | 间接 | 未知 | 30 | — |
| torch | 1.13.1 | 间接 | 未知 | 28 | — |
| torch | 2.8.0 | 间接 | 未知 | 8 | — |
| torch | 2.9.1 | 间接 | 未知 | 4 | — |
| transformers | 4.18.0 | 间接 | 未知 | 50 | — |
| transformers | 4.20.0 | 间接 | 未知 | 50 | — |
| transformers | 4.52.4 | 间接 | 未知 | 22 | — |
| wheel | 0.45.1 | 间接 | 未知 | 2 | — |
公告表示依赖图中记录的版本落入某条公告的受影响范围。可达性未经分析，且依赖图包含开发与测试的版本固定——某项发现可能只涉及工具链而非交付的软件。
原始 JSON 报告 机器可读
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"count": 2389
}
}
],
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{
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]
},
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},
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},
{
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"status": "met",
"details": [
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"code": "license_standard",
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},
{
"code": "license_spdx",
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"count": 930723,
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}
],
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"points": 0,
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}
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{
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{
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"code": "no_data",
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]
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{
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}
],
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"code": "ci_workflows",
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}
],
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{
"key": "tests_present",
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{
"key": "linter_config",
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],
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{
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"details": [],
"max_points": 9.6
},
{
"key": "editorconfig",
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"details": [],
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{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
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"status": "excluded",
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}
],
"max_points": 20
}
]
},
{
"key": "documentation",
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"notes": [],
"value": 65,
"inputs": {
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"components": [
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{
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{
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{
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"details": [],
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{
"key": "topics",
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}
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{
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}
]
}
],
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},
{
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"name": "Security",
"value": 21,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "critical",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.",
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"code": "excluded_no_data",
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"components": [
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}
},
{
"code": "weights_renormalized",
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],
"value": 1,
"inputs": {
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},
"components": [
{
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"points": 0,
"status": "missed",
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},
{
"key": "dependabot_config",
"name": "Dependabot config",
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"points": 0,
"status": "missed",
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},
{
"key": "dependency_lockfiles",
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"detail": "published library — lockfiles are an application concern, not expected",
"points": 0,
"status": "excluded",
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"code": "lockfiles_not_expected",
"params": {}
}
],
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},
{
"key": "codeql_workflow",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 20
}
]
},
{
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"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 75 resolved dependencies against OSV; 50 could not be assessed (no resolved version, an unsupported ecosystem, or beyond the reported package list). This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.",
"notes": [
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"code": "excluded_no_data",
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}
},
{
"code": "weights_renormalized",
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},
{
"code": "advisories_scope_repository",
"params": {
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},
{
"code": "advisories_unassessed",
"params": {
"count": 50
}
},
{
"code": "advisories_repo_graph_caveat",
"params": {}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
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"affected_packages": 29,
"assessed_packages": 75,
"unassessed_packages": 50,
"affected_by_severity": "critical 8, high 7, moderate 2, unknown 12",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
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}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "transitive set not separable from development and test dependencies in this scope",
"points": 0,
"status": "excluded",
"details": [
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"code": "advisories_scope_not_separable",
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}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
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"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_no_publication_date",
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}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
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"red_flag": false,
"assessed_packages": 75,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
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},
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{
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}
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{
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