公开记录中等
软件健康报告模式 0.27.0 · 指标 1.13.0 · 2026-07-30 11:27 UTC
bytedance / xpu-perf
[HPCA 2026] AI Accelerator Benchmark focuses on evaluating AI Accelerators from a practical production perspective, including the ease of use and versatility of software and hardware.
bytedance/xpu-perf 的健康指数为 100 分中的 51 分，处于「中等」区间。 其得分最高的类别是Sustainability & Governance（69/100），最低的是Security（16/100）。 最近一次更新在 99 天前。 近期的大部分工作由 2 位贡献者完成。
51
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。
51
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
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？
41
开发活跃度
33存在风险
评分方式
| 9.9/36 | 推送新近度 — 最近一次推送于 99 天前 |
| 6.9/36 | 提交节奏 — 52 周中有 10 周有提交 |
| 13.3/18 | 提交量 — 最近一年 29 次提交 |
| 0/10 | OpenSSF Scorecard：Maintained — 无数据 |
所用输入
| commits_last_year | 29 |
| human_commit_share | 1 |
| days_since_last_push | 99 |
| active_weeks_last_year | 10 |
发布纪律
52中等
评分方式
| 27/27 | 有发布版本 — 已发布 1 个发布版本 |
| 7.2/36 | 发布时效 — 最近一次发布版本于 703 天前 |
| 12.6/27 | 发布节奏 — 节奏未知（仅一次发布） |
| 0/10 | OpenSSF Scorecard：Signed-Releases — 无数据 |
所用输入
| releases_count | 1 |
| latest_release_tag | v1.0.0 |
| releases_from_tags | 否 |
| days_since_latest_release | 703 |
| mean_days_between_releases | — |
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？
67
流行度与采用
65中等
评分方式
| 41.6/60 | 星标 — 370 个星标 |
| 17.6/25 | 复刻 — 130 个复刻 |
| 5.8/15 | 关注者 — 12 位关注者 |
所用输入
| forks | 130 |
| stars | 370 |
| watchers | 12 |
| 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（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 |
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？
69
维护者韧性（巴士系数）
58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 |
| 13.9/22.5 | 提交分布 — 头号贡献者编写了 38% 的提交 |
| 13.5/13.5 | 贡献者广度 — 15 位贡献者 |
| 0/10 | OpenSSF Scorecard：Contributors — 无数据 |
所用输入
| bus_factor | 2 |
| contributors_sampled | 15 |
| top_contributor_share | 0.382 |
议题与 PR 响应能力
72良好
评分方式
| 31.8/46.8 | 议题解决 — 68% 的议题已关闭 |
| 29.8/38.3 | PR 接受 — 已裁定的 PR 中 88/113 已合并 |
| 0/15 | OpenSSF Scorecard：Code-Review — 无数据 |
所用输入
| merged_prs | 88 |
| open_issues | 24 |
| closed_issues | 51 |
| issue_closed_ratio | 0.68 |
| closed_unmerged_prs | 25 |
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 — bytedance 有 18,616 位关注者 |
| 25/25 | 既往记录 — 414 个公开仓库，账户约 13 年 |
所用输入
| followers | 18,616 |
| owner_type | Organization |
| is_verified | — |
| owner_login | bytedance |
| public_repos | 414 |
| account_age_days | 4,854 |
工程质量
基础的工程与文档实践是否到位？
56
工程实践
50中等
评分方式
| 0/24 | CI 工作流 |
| 24/24 | 存在测试 |
| 16/16 | Linter 配置 — .flake8, .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 | 否 |
| 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://xpu-perf.ai/ |
| 10/10 | 仓库描述 |
| 10/10 | 主题标签 — 1 个主题标签 |
| 0/10 | Wiki |
所用输入
| topics | python |
| has_wiki | 否 |
| homepage | https://xpu-perf.ai/ |
| 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？
16
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 |
| 0/20 | CodeQL 工作流 |
所用输入
| source | file_signals |
| lockfiles | — |
| manifests | pyproject.toml |
| has_codeql_workflow | 否 |
| has_security_policy | 否 |
| has_dependabot_config | 否 |
依赖安全公告
74良好
评分方式
| 20.2/35 | 直接依赖不含已知公告 — 1 个受影响：numpy 1.19.2 (moderate 5.3) |
| 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 |
| 35.3/40 | 没有长期未处理的公告 — 1 个携带公告的软件包超过 90 天未处理；最早一条发布于 1,685 天前 |
所用输入
| source | osv |
| advisories | 1,854 |
| affected_packages | 18 |
| assessed_packages | 38 |
| unassessed_packages | 52 |
| affected_by_severity | critical 9, high 7, moderate 2 |
| direct_affected_packages | 1 |
已排除计分（无数据或不适用）：间接依赖不含已知公告。 其余权重已重新归一化。 已将 38 个已解析依赖与 OSV 比对。 有 52 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。
62
AI 代理上下文与指引
20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） |
| 19.7/40 | 可读的提交历史 — 100 次人类提交中有 37 次说明了意图（结构化标题或解释性正文） |
所用输入
| has_llms_txt | 否 |
| legible_history_share | 0.37 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
评分方式
| 18/18 | 一条命令的引导启动 — projects/train_perf/Megatron-LM/megatron/core/datasets/Makefile |
| 22/22 | 自动化测试 |
| 11/11 | Lint / 格式化配置 — .flake8, .pylintrc |
| 11/11 | 静态类型检查 — projects/train_perf/Megatron-LM/mypy.ini |
| 10/10 | 可复现环境 — Dockerfile |
| 0/10 | 已体现的代理实践 — 最近 100 次提交中没有代理编写的提交 |
| 0/8 | 自动化维护 — 未观察到自动依赖更新 |
| 0/10 | OpenSSF Scorecard：Pinned-Dependencies — 无数据 |
所用输入
| has_nix | 否 |
| has_tests | 是 |
| lockfiles | — |
| has_dockerfile | 是 |
| typed_language | 否 |
| bootstrap_files | projects/train_perf/Megatron-LM/megatron/core/datasets/Makefile |
| has_devcontainer | 否 |
| has_linter_config | 是 |
| typecheck_configs | projects/train_perf/Megatron-LM/mypy.ini |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
面向模型的代码可读性
81良好
评分方式
| 27/45 | 可类型检查的代码 — Python，已配置类型检查（projects/train_perf/Megatron-LM/mypy.ini） |
| 54.4/55 | 可控的文件大小 — 采样的 757 个源文件中有 8 个超过 60KB |
所用输入
| primary_language | Python |
| largest_source_bytes | 132,791 |
| source_files_sampled | 757 |
| oversized_source_files | 8 |
机器可读接口
80良好
评分方式
| 40/40 | API 模式（OpenAPI/GraphQL/proto） — projects/infer_perf/llm_perf/server/server.proto |
| 0/20 | MCP 服务器 |
| 40/40 | 可运行示例 — examples, recipes |
所用输入
| example_dirs | examples, recipes |
| has_mcp_signal | 否 |
| api_schema_files | projects/infer_perf/llm_perf/server/server.proto |
关键数据
370GitHub 星标
15贡献者
29最近 12 个月提交数
99距最近推送天数
1发布版本数
2巴士系数（bus factor）
24开放议题
PyPI软件包生态系统数
数据采集警告
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- Could not fetch pypi package 'xpu-perf' from its registry
- Advisory severity resolved for 120 of 731 advisories (lookup cap); the remainder are reported as unknown severity
- OpenSSF Scorecard did not return a usable result (exit code -9); skipping Scorecard checks
更多细节
Star 与 Fork 历史 0 ★ / 130 ⇿
0Star
130Fork
1发布
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。
主版本 1次版本 0修订 0
每个点涵盖 3 天。
直接依赖 5
| 注册表 | 软件包 | 版本约束 | 清单文件 |
|---|---|---|---|
| PyPI | prettytable | — | pyproject.toml |
| PyPI | jsonlines | — | pyproject.toml |
| PyPI | flask | — | pyproject.toml |
| PyPI | requests | — | pyproject.toml |
| PyPI | numpy | <=1.26.4 | pyproject.toml |
全部依赖 90
来自 GitHub 依赖图的完整解析依赖集合：8 个直接依赖与 82 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 | flask | — | 直接 |
| PyPI | jsonlines | — | 直接 |
| PyPI | numpy | — | 直接 |
| PyPI | numpy | 1.19.2 | 直接 |
| PyPI | numpy | 1.23.0 | 直接 |
| PyPI | numpy | 1.23.4 | 直接 |
| PyPI | prettytable | — | 直接 |
| PyPI | requests | — | 直接 |
| PyPI | accelerate | — | 间接 |
| PyPI | attrs | 21.2.0 | 间接 |
| PyPI | backoff | — | 间接 |
| PyPI | bert | — | 间接 |
| PyPI | bert-tensorflow | 1.0.1 | 间接 |
| PyPI | black | 23.1.0 | 间接 |
| PyPI | decorator | — | 间接 |
| PyPI | einops | — | 间接 |
| PyPI | flask-restful | — | 间接 |
| PyPI | fpdf | — | 间接 |
| PyPI | google-api-python-client | — | 间接 |
| PyPI | google-cloud-core | 2.3.2 | 间接 |
| PyPI | graphviz | 0.8.4 | 间接 |
| PyPI | grpcio | — | 间接 |
| PyPI | isort | — | 间接 |
| PyPI | keras2onnx | — | 间接 |
| PyPI | matplotlib | — | 间接 |
| PyPI | matplotlib | 3.3.4 | 间接 |
| PyPI | matplotlib | 3.4.2 | 间接 |
| PyPI | multipledispatch | — | 间接 |
| PyPI | mypy-protobuf | 2.8 | 间接 |
| PyPI | nltk | — | 间接 |
| PyPI | nvidia-modelopt | — | 间接 |
| PyPI | onnx | — | 间接 |
| PyPI | onnx | 1.12.0 | 间接 |
| PyPI | onnx | 1.13.1 | 间接 |
| PyPI | onnxconverter-common | 1.12.2 | 间接 |
| PyPI | onnxruntime | — | 间接 |
| PyPI | onnxruntime | 1.12.0 | 间接 |
| PyPI | opencv-python | — | 间接 |
| PyPI | opencv-python-headless | — | 间接 |
| PyPI | packaging | — | 间接 |
| PyPI | pandas | — | 间接 |
| PyPI | pandas | 1.3.3 | 间接 |
| PyPI | pandas | 1.5.1 | 间接 |
| PyPI | prompt-toolkit | — | 间接 |
| PyPI | protobuf | — | 间接 |
| PyPI | protobuf | 3.19.4 | 间接 |
| PyPI | protobuf | 3.19.6 | 间接 |
| PyPI | protobuf | 3.20.2 | 间接 |
| PyPI | psutil | — | 间接 |
| PyPI | pulp | — | 间接 |
| PyPI | pybind11 | — | 间接 |
| PyPI | pydot | — | 间接 |
| PyPI | pytest | — | 间接 |
| PyPI | pytest-cov | — | 间接 |
| PyPI | pytest-mock | — | 间接 |
| PyPI | pytest-random-order | — | 间接 |
| PyPI | pyyaml | — | 间接 |
| PyPI | scikit-learn | — | 间接 |
| PyPI | scipy | — | 间接 |
| PyPI | sentencepiece | — | 间接 |
| PyPI | sentencepiece | 0.1.96 | 间接 |
| PyPI | setuptools | 67.5 | 间接 |
| PyPI | synr | 0.4 | 间接 |
| PyPI | tensorflow | — | 间接 |
| PyPI | tensorflow | 1.15.0 | 间接 |
| PyPI | tensorflow | 2.4.0 | 间接 |
| PyPI | tensorflow | 2.7.2 | 间接 |
| PyPI | tensorflow | 2.8.4 | 间接 |
| PyPI | tensorflow-datasets | 4.7.0 | 间接 |
| PyPI | tensorstore | — | 间接 |
| PyPI | tf2onnx | — | 间接 |
| PyPI | tiktoken | — | 间接 |
| PyPI | tokenization | — | 间接 |
| PyPI | torch | — | 间接 |
| PyPI | torch | 1.12.1 | 间接 |
| PyPI | torch | 1.13.1 | 间接 |
| PyPI | torch | 1.9.1 | 间接 |
| PyPI | torchvision | — | 间接 |
| PyPI | torchvision | 0.10.1 | 间接 |
| PyPI | torchvision | 0.13.1 | 间接 |
| PyPI | tqdm | — | 间接 |
| PyPI | transformers | — | 间接 |
| PyPI | transformers | 4.40.0 | 间接 |
| PyPI | triton | 2.1.0 | 间接 |
| PyPI | typing-extensions | 3.7.4.3 | 间接 |
| PyPI | virtualenv | 16.7.9 | 间接 |
| PyPI | wandb | — | 间接 |
| PyPI | wrapt | — | 间接 |
| PyPI | wrapt | 1.14.1 | 间接 |
| PyPI | zarr | — | 间接 |
依赖安全公告 18
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 38 个包，其中也包含从不交付的开发与测试版本固定：18 个存在已知公告，1 个为直接依赖。 有 52 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 |
|---|---|---|---|---|---|
| black | 23.1.0 | 间接 | 严重 | 5 | 26.3.1 |
| onnx | 1.12.0 | 间接 | 严重 | 24 | 1.22.0 |
| onnx | 1.13.1 | 间接 | 严重 | 22 | 1.22.0 |
| tensorflow | 1.15.0 | 间接 | 严重 | 745 | 2.11.1 |
| tensorflow | 2.4.0 | 间接 | 严重 | 760 | 2.11.1 |
| torch | 1.12.1 | 间接 | 严重 | 30 | 2.13.0 |
| torch | 1.13.1 | 间接 | 严重 | 28 | 2.13.0 |
| torch | 1.9.1 | 间接 | 严重 | 30 | 2.13.0 |
| transformers | 4.40.0 | 间接 | 严重 | 42 | 5.5.0 |
| protobuf | 3.19.4 | 间接 | 高 | 6 | 6.33.5 |
| protobuf | 3.19.6 | 间接 | 高 | 4 | 6.33.5 |
| protobuf | 3.20.2 | 间接 | 高 | 4 | 6.33.5 |
| sentencepiece | 0.1.96 | 间接 | 高 | 2 | 0.2.1 |
| setuptools | 67.5 | 间接 | 高 | 6 | 83.0.0 |
| tensorflow | 2.7.2 | 间接 | 高 | 94 | 2.11.1 |
| tensorflow | 2.8.4 | 间接 | 高 | 46 | 2.11.1 |
| numpy | 1.19.2 | 直接 | 中 | 2 | 1.22 |
| virtualenv | 16.7.9 | 间接 | 中 | 4 | 20.36.1 |
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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