公开记录良好
软件健康报告模式 0.27.0 · 指标 1.13.0 · 2026-07-29 15:55 UTC
triton-inference-server / model_analyzer
Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.
triton-inference-server/model_analyzer 的健康指数为 100 分中的 77 分，处于「良好」区间。 其得分最高的类别是Sustainability & Governance（87/100），最低的是AI Readiness（44/100）。 最近一次更新在 5 天前。 近期的大部分工作由 3 位贡献者完成。
77
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。
77
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 | triton-model-analyzer | 1.56.0 | 10,607 | 58 | 0 天前 | tritontensorrtinferenceserverserviceanalyzernvidia |
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？
81
开发活跃度
74良好
评分方式
| 36/36 | 推送新近度 — 最近一次推送于 5 天前 |
| 18/36 | 提交节奏 — 52 周中有 26 周有提交 |
| 14.9/18 | 提交量 — 最近一年 45 次提交 |
| 5/10 | OpenSSF Scorecard：Maintained — 6 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5 |
所用输入
| commits_last_year | 45 |
| human_commit_share | 1 |
| days_since_last_push | 5 |
| active_weeks_last_year | 26 |
发布纪律
92优秀
评分方式
| 27/27 | 有发布版本 — 已发布 34 个发布版本 |
| 36/36 | 发布时效 — 最近一次发布版本于 32 天前 |
| 19.8/27 | 发布节奏 — 约每 64.1 天发布一次 |
| 0/10 | OpenSSF Scorecard：Signed-Releases — 无数据 |
所用输入
| releases_count | 34 |
| latest_release_tag | v1.55.0 |
| releases_from_tags | 否 |
| days_since_latest_release | 32 |
| mean_days_between_releases | 64.1 |
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？
68
流行度与采用
66中等
评分方式
| 44.1/60 | 星标 — 523 个星标 |
| 16.2/25 | 复刻 — 88 个复刻 |
| 5.3/15 | 关注者 — 10 位关注者 |
所用输入
| forks | 88 |
| stars | 523 |
| watchers | 10 |
| 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 |
生态采用（下载量）
67中等
评分方式
| 53.7/80 | 月度下载量 — pypi 合计每月 10,607 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 | triton-model-analyzer |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 10,607 |
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？
87
维护者韧性（巴士系数）
77良好
评分方式
| 36/54 | 巴士系数 — 3 位贡献者贡献了半数提交 |
| 17.2/22.5 | 提交分布 — 头号贡献者编写了 24% 的提交 |
| 13.5/13.5 | 贡献者广度 — 25 位贡献者 |
| 10/10 | OpenSSF Scorecard：Contributors — project has 7 contributing companies or organizations |
所用输入
| bus_factor | 3 |
| contributors_sampled | 25 |
| top_contributor_share | 0.236 |
议题与 PR 响应能力
97优秀
评分方式
| 46/46.8 | 议题解决 — 98% 的议题已关闭 |
| 35.8/38.3 | PR 接受 — 已裁定的 PR 中 799/853 已合并 |
| 15/15 | OpenSSF Scorecard：Code-Review — all changesets reviewed |
所用输入
| merged_prs | 799 |
| open_issues | 3 |
| closed_issues | 171 |
| issue_closed_ratio | 0.983 |
| closed_unmerged_prs | 54 |
所有权与托管责任
77良好
评分方式
| 30/30 | 所有权背书 — 组织持有 |
| 0/20 | 已验证域名 |
| 23.8/25 | 所有者影响力 — triton-inference-server 有 2,032 位关注者 |
| 23.4/25 | 既往记录 — 36 个公开仓库，账户约 6 年 |
所用输入
| followers | 2,032 |
| owner_type | Organization |
| is_verified | — |
| owner_login | triton-inference-server |
| public_repos | 36 |
| account_age_days | 2,210 |
软件包维护
100优秀
评分方式
| 25/25 | 已发布且可解析 — pypi 上有 1 个软件包 |
| 35/35 | 发布时效 — 最近一次发布于 0 天前 |
| 20/20 | 版本历史 — 58 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 | triton-model-analyzer |
| ecosystems | pypi |
| any_deprecated | 否 |
| min_days_since_publish | 0 |
工程质量
基础的工程与文档实践是否到位？
85
工程实践
92优秀
评分方式
| 24/24 | CI 工作流 — 3 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 |
| 18/20 | OpenSSF Scorecard：CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9 |
所用输入
| has_ci | 是 |
| has_tests | 是 |
| has_editorconfig | 否 |
| has_linter_config | 是 |
| has_precommit_config | 是 |
文档
75良好
评分方式
| 30/30 | README |
| 25/25 | 文档目录 |
| 0/15 | 文档 / 主页站点 |
| 10/10 | 仓库描述 |
| 10/10 | 主题标签 — 4 个主题标签 |
| 0/10 | Wiki |
所用输入
| topics | deep-learning, inference, gpu, performance-analysis |
| has_wiki | 否 |
| homepage | — |
| 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？
57
安全态势
57中等
评分方式
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 4.5/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.2/2.5 | CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 2.5/2.5 | Contributors — project has 7 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | 许可证 — license file detected |
| 3.8/7.5 | Maintained — 6 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5 |
| 0/5 | Packaging — 无数据 |
| 0.5/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1 |
| 4.5/5 | SAST — SAST tool detected but not run on all commits |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — 无数据 |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
所用输入
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 5.7 |
已排除计分（无数据或不适用）：packaging, 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。
44
AI 代理上下文与指引
40存在风险
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） |
| 40/40 | 可读的提交历史 — 100 次人类提交中有 97 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 | 0.97 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
验证循环（构建 / 测试 / 类型检查）
44存在风险
评分方式
| 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 |
| 0/11 | 静态类型检查 |
| 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 |
| 1/10 | OpenSSF Scorecard：Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 1 |
所用输入
| has_nix | 否 |
| has_tests | 是 |
| lockfiles | — |
| has_dockerfile | 是 |
| typed_language | 否 |
| bootstrap_files | — |
| has_devcontainer | 否 |
| has_linter_config | 是 |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
面向模型的代码可读性
54中等
评分方式
| 0/45 | 可类型检查的代码 — Python，未配置类型检查 |
| 54.5/55 | 可控的文件大小 — 采样的 347 个源文件中有 3 个超过 60KB |
所用输入
| primary_language | Python |
| largest_source_bytes | 82,674 |
| source_files_sampled | 347 |
| oversized_source_files | 3 |
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 |
所用输入
| example_dirs | examples |
| has_mcp_signal | 否 |
| api_schema_files | — |
关键数据
523GitHub 星标
25贡献者
45最近 12 个月提交数
5距最近推送天数
34发布版本数
3巴士系数（bus factor）
3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
- GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
- deps.dev does not index pypi:triton-model-analyzer@1.56.0; advisories assessed against the repository dependency graph instead
更多细节
Star 与 Fork 历史 0 ★ / 88 ⇿
0Star
88Fork
34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 0次版本 34修订 0
每个点涵盖 6 天。
OpenSSF Scorecard 5.7 / 10
5.7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 |
| 6 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 9 | CI-Tests | 29 out of 30 merged PRs checked by a CI test -- score normalized to 9 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 7 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 5 | Maintained | 6 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5 |
| 不适用 | Packaging | packaging workflow not detected |
| 1 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 1 |
| 9 | SAST | SAST tool detected but not run on all commits |
| 0 | Security-Policy | security policy file not detected |
| 不适用 | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
直接依赖 18
| 注册表 | 软件包 | 版本约束 | 清单文件 |
|---|---|---|---|
| PyPI | cryptography | >=3.3.2 | pyproject.toml |
| PyPI | distro | >=1.5.0 | pyproject.toml |
| PyPI | docker | >=4.3.1 | pyproject.toml |
| PyPI | gevent | >=22.08.0 | pyproject.toml |
| PyPI | grpcio | >=1.81.1 | pyproject.toml |
| PyPI | httplib2 | >=0.19.0 | pyproject.toml |
| PyPI | importlib_metadata | >=7.1.0 | pyproject.toml |
| PyPI | matplotlib | >=3.3.4 | pyproject.toml |
| PyPI | numba | >=0.51.2 | pyproject.toml |
| PyPI | optuna | ==3.6.1 | pyproject.toml |
| PyPI | pdfkit | >=0.6.1 | pyproject.toml |
| PyPI | prometheus_client | >=0.9.0 | pyproject.toml |
| PyPI | protobuf | — | pyproject.toml |
| PyPI | psutil | >=5.8.0 | pyproject.toml |
| PyPI | pyyaml | >=5.3.1 | pyproject.toml |
| PyPI | requests | >=2.24.0 | pyproject.toml |
| PyPI | tritonclient | >=2.4.0 | pyproject.toml |
| PyPI | urllib3 | >=2.0.7 | pyproject.toml |
全部依赖 未采集
本报告未能采集到解析后的依赖集合：GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
原始 JSON 报告 机器可读
{
"data": {
"repo": {
"topics": [
"deep-learning",
"inference",
"gpu",
"performance-analysis"
],
"is_fork": false,
"size_kb": 6177,
"has_wiki": false,
"homepage": null,
"languages": {
"Shell": 195453,
"Python": 2497107,
"Dockerfile": 1997,
"Go Template": 2393
},
"pushed_at": "2026-07-24T03:59:47Z",
"created_at": "2020-09-01T21:03:58Z",
"owner_type": "Organization",
"updated_at": "2026-07-28T07:48:59Z",
"description": "Triton Model Analyzer is a CLI tool to help with better understanding of the compute and memory requirements of the Triton Inference Server models.",
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]
},
"owner": {
"blog": "https://developer.nvidia.com/nvidia-triton-inference-server",
"name": "Triton Inference Server",
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},
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},
"activity": {
"releases": [
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"tag": "v1.55.0",
"kind": "minor",
"published_at": "2026-06-26T16:26:15Z"
},
{
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"tag": "v1.49.0",
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"tag": "v1.48.0",
"kind": "minor",
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},
{
"tag": "v1.47.0",
"kind": "minor",
"published_at": "2024-12-23T19:18:36Z"
},
{
"tag": "v1.46.0",
"kind": "minor",
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{
"tag": "v1.45.0",
"kind": "minor",
"published_at": "2024-10-29T15:38:32Z"
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"tag": "v1.44.0",
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"tag": "v1.43.0",
"kind": "minor",
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},
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"tag": "v1.42.0",
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},
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},
{
"tag": "v1.40.0",
"kind": "minor",
"published_at": "2024-05-25T02:04:57Z"
},
{
"tag": "v1.39.0",
"kind": "minor",
"published_at": "2024-04-30T17:46:58Z"
},
{
"tag": "v1.38.0",
"kind": "minor",
"published_at": "2024-03-27T17:01:19Z"
},
{
"tag": "v1.37.0",
"kind": "minor",
"published_at": "2024-03-01T01:12:52Z"
},
{
"tag": "v1.36.0",
"kind": "minor",
"published_at": "2024-01-30T01:17:31Z"
},
{
"tag": "v1.35.0",
"kind": "minor",
"published_at": "2023-12-20T01:03:04Z"
},
{
"tag": "v1.34.0",
"kind": "minor",
"published_at": "2023-12-01T23:31:59Z"
},
{
"tag": "v1.33.0",
"kind": "minor",
"published_at": "2023-10-27T01:24:00Z"
},
{
"tag": "v1.32.0",
"kind": "minor",
"published_at": "2023-09-27T21:36:19Z"
},
{
"tag": "v1.31.0",
"kind": "minor",
"published_at": "2023-08-30T17:33:51Z"
},
{
"tag": "v1.30.0",
"kind": "minor",
"published_at": "2023-07-31T15:53:28Z"
},
{
"tag": "v1.29.0",
"kind": "minor",
"published_at": "2023-06-30T01:35:42Z"
},
{
"tag": "v1.28.0",
"kind": "minor",
"published_at": "2023-07-25T22:56:12Z"
},
{
"tag": "v1.27.0",
"kind": "minor",
"published_at": "2023-07-25T22:55:10Z"
},
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"deps.dev does not index pypi:triton-model-analyzer@1.56.0; advisories assessed against the repository dependency graph instead"
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