公开记录
软件健康报告模式 0.17.0 · 指标 1.13.0 · 2026-07-21 04:43 UTC

PriorLabs / TabPFN

⚡ TabPFN: Foundation Model for Tabular Data ⚡

Python自定义许可证★ 7,637 星标⑂ 758 复刻始于 2022年7月在 GitHub 上查看 ↗

PriorLabs/TabPFN 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AI Readiness(35/100)。 最近一次更新在今天。 近期的大部分工作由 3 位贡献者完成。

86
总分 / 100
优秀

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)
活力社区与采用可持续性与治理工程质量安全AI 就绪度

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

380 关注者11 个公开仓库始于 2023年9月

该仓库由组织支持——共同承担、可问责的托管责任,可延续于任何单一维护者之后。

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
PyPItabpfn8.1.0-567 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优秀 · 占总体的 22%
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 504 次提交
10/10OpenSSF Scorecard:Maintained — 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
所用输入
commits_last_year504
human_commit_share
days_since_last_push0
active_weeks_last_year51

发布纪律

100优秀
评分方式
27/27有发布版本 — 已发布 23 个发布版本
36/36发布时效 — 最近一次发布版本于 7 天前
27/27发布节奏 — 约每 6.9 天发布一次
0/10OpenSSF Scorecard:Signed-Releases — 无数据
所用输入
releases_count23
latest_release_tagv8.1.0
releases_from_tags
days_since_latest_release7
mean_days_between_releases6.9
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?

73良好 · 占总体的 18%
评分方式
60/60星标 — 7,637 个星标
24/25复刻 — 758 个复刻
9.2/15关注者 — 46 位关注者
所用输入
forks758
stars7,637
watchers46
growth_stateorganic
growth_factor_pct100

社区健康

51中等
评分方式
22.5/22.5README
16.9/22.5许可证 — 存在许可证文件,但不是可识别的许可证
0/18CONTRIBUTING 指南
0/13.5行为准则
0/7.2议题模板
6.3/6.3PR 模板
所用输入
has_readme
has_license
has_contributing
has_issue_template
has_code_of_conduct
has_pull_request_template

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?

80良好 · 占总体的 24%
评分方式
36/54巴士系数 — 3 位贡献者贡献了半数提交
15.3/22.5提交分布 — 头号贡献者编写了 32% 的提交
13.5/13.5贡献者广度 — 60 位贡献者
10/10OpenSSF Scorecard:Contributors — project has 6 contributing companies or organizations
所用输入
bus_factor3
contributors_sampled60
top_contributor_share0.318
评分方式
44.8/46.8议题解决 — 96% 的议题已关闭
29.8/38.3PR 接受 — 已裁定的 PR 中 574/736 已合并
15/15OpenSSF Scorecard:Code-Review — all changesets reviewed
所用输入
merged_prs574
open_issues15
closed_issues349
issue_closed_ratio0.959
closed_unmerged_prs162
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
18.6/25所有者影响力 — PriorLabs 有 380 位关注者
13.6/25既往记录 — 11 个公开仓库,账户约 2 年
所用输入
followers380
owner_typeOrganization
is_verified
owner_loginPriorLabs
public_repos11
account_age_days1,047
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 7 天前
20/20版本历史 — 56 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
packagestabpfn
ecosystemspypi
any_deprecated
min_days_since_publish7

工程质量

基础的工程与文档实践是否到位?

96优秀 · 占总体的 20%

工程实践

94优秀
评分方式
24/24CI 工作流 — 9 个工作流
24/24存在测试
16/16Linter 配置
9.6/9.6Pre-commit 钩子
0/6.4.editorconfig
20/20OpenSSF Scorecard:CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
所用输入
has_ci
has_tests
has_editorconfig
has_linter_config
has_precommit_config

文档

100优秀
评分方式
30/30README
25/25文档目录
15/15文档 / 主页站点 — http://priorlabs.ai
10/10仓库描述
10/10主题标签 — 5 个主题标签
10/10Wiki
所用输入
topicsdata-science, foundation-models, machine-learning, tabpfn, tabular-data
has_wiki
homepagehttp://priorlabs.ai
has_readme
has_docs_dir
has_description

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?

81良好 · 占总体的 16%

安全态势

76良好
评分方式
7.5/7.5Binary-Artifacts — no binaries found in the repo
0.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 6 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.2/2.5许可证 — license file detected
7.5/7.5Maintained — 30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
4/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
4.5/5SAST — SAST tool is not run on all commits -- score normalized to 9
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — 无数据
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
所用输入
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7.6
已排除计分(无数据或不适用):signed_releases。 其余权重已重新归一化。
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
sourceosv
advisories0
affected_packages0
assessed_packages2
unassessed_packages35
affected_by_severitynone
direct_affected_packages0
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 2 个已解析依赖与 OSV 比对。 有 35 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。

35存在风险 · 占总体的 0%
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
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
0/18一条命令的引导启动
22/22自动化测试
11/11Lint / 格式化配置
0/11静态类型检查
0/10可复现环境
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
8/10OpenSSF Scorecard:Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 8
所用输入
has_nix
has_tests
lockfiles
has_dockerfile
typed_language
bootstrap_files
has_devcontainer
has_linter_config
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
已排除计分(无数据或不适用):已体现的代理实践。 其余权重已重新归一化。
评分方式
0/45可类型检查的代码 — Python,未配置类型检查
53.7/55可控的文件大小 — 采样的 171 个源文件中有 4 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes97,868
source_files_sampled171
oversized_source_files4

机器可读接口

40存在风险
评分方式
0/40API 模式(OpenAPI/GraphQL/proto)
0/20MCP 服务器
40/40可运行示例 — examples, notebooks
所用输入
example_dirsexamples, notebooks
has_mcp_signal
api_schema_files

关键数据

7,637GitHub 星标
60贡献者
504最近 12 个月提交数
0距最近推送天数
23发布版本数
3巴士系数(bus factor)
15开放议题
PyPI软件包生态系统数

数据采集警告

  • deps.dev does not index pypi:tabpfn@8.1.0; advisories assessed against the repository dependency graph instead

更多细节

Star 与 Fork 历史 7,637 ★ / 0 ⇿
7,637Star

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。

6,5006,7507,0007,2507,5007,7507,6371132026-052026-062026-07
OpenSSF Scorecard 7.6 / 10
7.6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)。Scorecard v5.5.0 · 2026-07-21 04:43 UTC

10Binary-Artifactsno binaries found in the repo
1Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
9Licenselicense file detected
10Maintained30 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
8Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 8
9SASTSAST tool is not run on all commits -- score normalized to 9
10Security-Policysecurity policy file detected
不适用Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
直接依赖 16
注册表软件包版本约束清单文件
PyPItorch>=2.5pyproject.toml
PyPIsafetensors>=0.4.0pyproject.toml
PyPInumpy>=1.21.6pyproject.toml
PyPIscikit-learn>=1.2.0pyproject.toml
PyPItyping_extensions>=4.12.0pyproject.toml
PyPIscipy>=1.11.1pyproject.toml
PyPIpandas>=1.4.0pyproject.toml
PyPIeinops>=0.4.0pyproject.toml
PyPIhuggingface-hub>=0.23.0pyproject.toml
PyPIpydantic>=2.8.0pyproject.toml
PyPIpydantic-settings>=2.10.1pyproject.toml
PyPIjoblib>=1.2.0pyproject.toml
PyPItqdm>=4.66.0pyproject.toml
PyPIfilelock>=3.11.0pyproject.toml
PyPIlightgbm>=3.0pyproject.toml
PyPImlx>=0.29.3pyproject.toml
全部依赖 37

来自 GitHub 依赖图的完整解析依赖集合:16 个直接依赖与 21 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
PyPIeinops直接
PyPIfilelock直接
PyPIhuggingface-hub直接
PyPIjoblib直接
PyPIlightgbm直接
PyPImlx直接
PyPInumpy直接
PyPIpandas直接
PyPIpydantic直接
PyPIpydantic-settings直接
PyPIsafetensors直接
PyPIscikit-learn直接
PyPIscipy直接
PyPItorch直接
PyPItqdm直接
PyPItyping-extensions直接
PyPIblack间接
PyPIlicensecheck间接
PyPImarkdown-exec间接
PyPImatplotlib间接
PyPImike间接
PyPImkdocs间接
PyPImkdocs-autorefs间接
PyPImkdocs-gen-files间接
PyPImkdocs-glightbox间接
PyPImkdocs-literate-nav间接
PyPImkdocs-material间接
PyPImkdocstrings间接
PyPImypy2.2.0间接
PyPIonnx间接
PyPIpre-commit间接
PyPIpytest间接
PyPIpytest-mock间接
PyPIpytest-xdist间接
PyPIruff0.15.12间接
PyPItowncrier间接
PyPIwandb间接
依赖安全公告 0

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 2 个包,其中也包含从不交付的开发与测试版本固定:0 个存在已知公告,0 个为直接依赖。 有 35 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。

没有已知公告影响已评估的依赖。

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
{
  "data": {
    "repo": {
      "topics": [
        "data-science",
        "foundation-models",
        "machine-learning",
        "tabpfn",
        "tabular-data"
      ],
      "is_fork": false,
      "size_kb": 282589,
      "has_wiki": true,
      "homepage": "http://priorlabs.ai",
      "languages": {
        "Python": 2099295
      },
      "pushed_at": "2026-07-20T16:08:35Z",
      "created_at": "2022-07-01T11:54:47Z",
      "owner_type": "Organization",
      "updated_at": "2026-07-21T03:04:10Z",
      "description": "⚡ TabPFN: Foundation Model for Tabular Data ⚡",
      "is_archived": false,
      "is_disabled": false,
      "license_spdx": null,
      "default_branch": "main",
      "license_spdx_raw": "NOASSERTION",
      "primary_language": "Python",
      "significant_languages": [
        "Python"
      ]
    },
    "owner": {
      "blog": "https://www.priorlabs.ai",
      "name": "Prior Labs",
      "type": "Organization",
      "login": "PriorLabs",
      "company": null,
      "location": null,
      "followers": 380,
      "avatar_url": "https://avatars.githubusercontent.com/u/144344393?v=4",
      "created_at": "2023-09-07T11:54:04Z",
      "is_verified": null,
      "public_repos": 11,
      "account_age_days": 1047
    },
    "license": {
      "state": "custom",
      "spdx_id": null,
      "raw_spdx": "NOASSERTION",
      "file_present": true,
      "scorecard_found": true,
      "profile_has_license": true
    },
    "activity": {
      "releases_count": 23,
      "commits_last_year": 504,
      "latest_release_at": "2026-07-13T09:26:53Z",
      "latest_release_tag": "v8.1.0",
      "releases_from_tags": false,
      "days_since_last_push": 0,
      "active_weeks_last_year": 51,
      "days_since_latest_release": 7,
      "mean_days_between_releases": 6.9
    },
    "community": {
      "has_readme": true,
      "has_license": true,
      "has_description": true,
      "has_contributing": false,
      "health_percentage": 62,
      "has_issue_template": false,
      "has_code_of_conduct": false,
      "has_pull_request_template": true
    },
    "ecosystem": {
      "packages": [
        {
          "name": "tabpfn",
          "exists": true,
          "license": null,
          "keywords": [
            "Intended Audience :: Developers",
            "Intended Audience :: Science/Research",
            "Operating System :: MacOS",
            "Operating System :: POSIX",
            "Operating System :: Unix",
            "Programming Language :: Python",
            "Programming Language :: Python :: 3",
            "Programming Language :: Python :: 3.10",
            "Programming Language :: Python :: 3.11",
            "Programming Language :: Python :: 3.12",
            "Programming Language :: Python :: 3.13",
            "Programming Language :: Python :: 3.14",
            "Topic :: Scientific/Engineering",
            "Topic :: Software Development"
          ],
          "ecosystem": "pypi",
          "matches_repo": true,
          "registry_url": "https://pypi.org/project/tabpfn/",
          "is_deprecated": false,
          "latest_version": "8.1.0",
          "repository_url": "https://github.com/priorlabs/tabpfn",
          "versions_count": 56,
          "total_downloads": null,
          "dependents_count": null,
          "deprecation_note": null,
          "maintainers_count": null,
          "monthly_downloads": null,
          "first_published_at": "2022-10-11T11:16:02.465829Z",
          "latest_published_at": "2026-07-13T09:26:50.589203Z",
          "latest_version_yanked": null,
          "days_since_latest_publish": 7
        }
      ]
    },
    "popularity": {
      "forks": 758,
      "stars": 7637,
      "watchers": 46,
      "star_history": {
        "days": [
          {
            "date": "2026-05-07",
            "count": 105
          },
          {
            "date": "2026-05-08",
            "count": 113
          },
          {
            "date": "2026-05-09",
            "count": 20
          },
          {
            "date": "2026-05-10",
            "count": 16
          },
          {
            "date": "2026-05-11",
            "count": 30
          },
          {
            "date": "2026-05-12",
            "count": 45
          },
          {
            "date": "2026-05-13",
            "count": 26
          },
          {
            "date": "2026-05-14",
            "count": 26
          },
          {
            "date": "2026-05-15",
            "count": 10
          },
          {
            "date": "2026-05-16",
            "count": 10
          },
          {
            "date": "2026-05-17",
            "count": 4
          },
          {
            "date": "2026-05-18",
            "count": 21
          },
          {
            "date": "2026-05-19",
            "count": 17
          },
          {
            "date": "2026-05-20",
            "count": 9
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              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 10 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": "dependency not pinned by hash detected -- score normalized to 8",
                "points": 4,
                "status": "partial",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 9",
                "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": "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": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "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 2 resolved dependencies against OSV; 35 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": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "indirect_dependencies_free_of_known_advisories",
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_repository",
                "params": {
                  "assessed": 2
                }
              },
              {
                "code": "advisories_unassessed",
                "params": {
                  "count": 35
                }
              },
              {
                "code": "advisories_repo_graph_caveat",
                "params": {}
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 2,
              "unassessed_packages": 35,
              "affected_by_severity": "none",
              "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",
                    "params": {}
                  }
                ],
                "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": [
                  {
                    "code": "advisories_scope_not_separable",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 2,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "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": 3
            },
            "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": 35,
        "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": 51,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "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": null,
                "points": 11,
                "status": "met",
                "details": [],
                "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": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "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": "dependency not pinned by hash detected -- score normalized to 8",
                "points": 8,
                "status": "partial",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 54,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 97868,
              "source_files_sampled": 171,
              "oversized_source_files": 4
            },
            "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": "4/171 source files over 60KB",
                "points": 53.7,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 171,
                      "oversized": 4
                    }
                  }
                ],
                "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": [
    "deps.dev does not index pypi:tabpfn@8.1.0; advisories assessed against the repository dependency graph instead"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-21T04:43:48.682569Z",
  "schema_version": "0.17.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/PriorLabs/TabPFN.svg",
  "full_name": "PriorLabs/TabPFN",
  "license_state": "custom",
  "license_spdx": null
}

评分是信号,而非担保。 评分反映的是 GitHub 上公开可见的实践——不是代码审计,也不是安全保证。

缺失数据将被剔除并重新归一化权重,绝不按零分计。方法论已版本化并公开:指标 v1.13.0、模式 v0.17.0—— 完整方法论 · 指标知识库.

单项结果在整体记录中的位置: 汇总统计PyPI.