公开记录
软件健康报告模式 0.16.0 · 指标 1.13.0 · 2026-07-21 02:21 UTC

data-privacy-stack / presidio

An open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.

PythonMIT★ 10,090 星标⑂ 1,211 复刻始于 2018年5月在 GitHub 上查看 ↗

data-privacy-stack/presidio 的健康指数为 100 分中的 90 分,处于「优秀」区间。 其得分最高的类别是Security(97/100),最低的是AI Readiness(70/100)。 最近一次更新在 4 天前。 近期的大部分工作由 3 位贡献者完成。

90
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。

90
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

17 关注者4 个公开仓库始于 2026年4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标签
PyPIpresidio2.2.3637,606522 天前presidio
PyPIpresidio-cli指向其他仓库——不计分0.0.816161474 天前piichecker
PyPIpresidio_analyzer2.2.3636,035,63410722 天前presidio-analyzer
PyPIpresidio_anonymizer2.2.3634,438,0924322 天前presidio-anonymizer
PyPIpresidio_structured0.0.7-722 天前presidio-structured
PyPIpresidio-image-redactor0.0.59-2322 天前presidio-image-redactor

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?

94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 4 天前
32.5/36提交节奏 — 52 周中有 47 周有提交
18/18提交量 — 最近一年 284 次提交
0/10OpenSSF Scorecard:Maintained — 无数据
所用输入
commits_last_year284
human_commit_share
days_since_last_push4
active_weeks_last_year47

发布纪律

92优秀
评分方式
27/27有发布版本 — 已发布 48 个发布版本
36/36发布时效 — 最近一次发布版本于 22 天前
19.8/27发布节奏 — 约每 91.2 天发布一次
0/10OpenSSF Scorecard:Signed-Releases — 无数据
所用输入
releases_count48
latest_release_tag2.2.363
releases_from_tags
days_since_latest_release22
mean_days_between_releases91.2

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?

96优秀 · 占总体的 18%
评分方式
60/60星标 — 10,090 个星标
25/25复刻 — 1,211 个复刻
10.8/15关注者 — 90 位关注者
所用输入
forks1,211
stars10,090
watchers90
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

92优秀
评分方式
22.5/22.5README
22.5/22.5许可证 — 可识别的许可证(MIT)
18/18CONTRIBUTING 指南
13.5/13.5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
评分方式
80/80月度下载量 — pypi 合计每月 10,481,332 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
packagespresidio, presidio_analyzer, presidio_anonymizer, presidio_structured, presidio-image-redactor
dependents
ecosystemspypi
total_downloads
monthly_downloads10,481,332
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?

74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
16.3/22.5提交分布 — 头号贡献者编写了 28% 的提交
13.5/13.5贡献者广度 — 100 位贡献者
0/10OpenSSF Scorecard:Contributors — 无数据
所用输入
bus_factor3
contributors_sampled100
top_contributor_share0.276
评分方式
42.7/46.8议题解决 — 91% 的议题已关闭
29.1/38.3PR 接受 — 已裁定的 PR 中 1,071/1,408 已合并
0/15OpenSSF Scorecard:Code-Review — 无数据
所用输入
merged_prs1,071
open_issues48
closed_issues504
issue_closed_ratio0.913
closed_unmerged_prs337
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
9/25所有者影响力 — data-privacy-stack 有 17 位关注者
5.6/25既往记录 — 4 个公开仓库,账户约 0 年
所用输入
followers17
owner_typeOrganization
is_verified
owner_logindata-privacy-stack
public_repos4
account_age_days98
评分方式
25/25已发布且可解析 — pypi 上有 5 个软件包
35/35发布时效 — 最近一次发布于 22 天前
20/20版本历史 — 107 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
packagespresidio, presidio_analyzer, presidio_anonymizer, presidio_structured, presidio-image-redactor
ecosystemspypi
any_deprecated
min_days_since_publish22

工程质量

基础的工程与文档实践是否到位?

95优秀 · 占总体的 20%

工程实践

92优秀
评分方式
24/24CI 工作流 — 6 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
0/20OpenSSF Scorecard:CI-Tests — 无数据
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 — https://presidio.dataprivacystack.org
10/10仓库描述
10/10主题标签 — 20 个主题标签
10/10Wiki
所用输入
topicspython, pii, privacy, data-anonymization, de-identification, data-masking, transformers, pii-detection, data-obfuscation, data-privacy, data-redaction, guardrails, image-redactor, named-entity-recognition, nlp, personally-identifiable-information, phi, sensitive-data, spacy, anonymization
has_wiki
homepagehttps://presidio.dataprivacystack.org
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?

97优秀 · 占总体的 16%

安全态势

100优秀
评分方式
30/30安全策略(SECURITY.md)
25/25Dependabot 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
20/20CodeQL 工作流
所用输入
sourcefile_signals
lockfilesuv.lock
manifestsdocs/requirements-docs.txt, e2e-tests/requirements.txt, presidio-analyzer/Pipfile, presidio-analyzer/pyproject.toml, presidio-anonymizer/pyproject.toml, presidio-cli/Pipfile, presidio-cli/pyproject.toml, presidio-image-redactor/pyproject.toml, presidio-structured/pyproject.toml, presidio/pyproject.toml, pyproject.toml
has_codeql_workflow
has_security_policy
has_dependabot_config
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。
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
10/25间接依赖不含已知公告 — 1 个受影响:cryptography 46.0.7 (high 7.5)
40/40没有长期未处理的公告 — 没有公告公开超过 90 天
所用输入
sourceosv
advisories1
affected_packages1
assessed_packages55
unassessed_packages0
affected_by_severityhigh 1
direct_affected_packages0
比对的是 pypi:presidio@2.2.363 的运行时依赖闭包——安装已发布的软件包时真正被拉取进来的内容——共 55 个软件包。 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。

70良好 · 占总体的 0%
评分方式
45/45代理指令 — .github/copilot-instructions.md
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.github/copilot-instructions.md
agent_instruction_max_bytes26,062
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
11/11静态类型检查 — presidio-analyzer/presidio_analyzer/py.typed, presidio-anonymizer/presidio_anonymizer/py.typed, presidio-image-redactor/presidio_image_redactor/py.typed, presidio-structured/presidio_structured/py.typed
10/10可复现环境 — devcontainer, Dockerfile, 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
0/10OpenSSF Scorecard:Pinned-Dependencies — 无数据
所用输入
has_nix
has_tests
lockfilesuv.lock
has_dockerfile
typed_language
bootstrap_files
has_devcontainer
has_linter_config
typecheck_configspresidio-analyzer/presidio_analyzer/py.typed, presidio-anonymizer/presidio_anonymizer/py.typed, presidio-image-redactor/presidio_image_redactor/py.typed, presidio-structured/presidio_structured/py.typed
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
27/45可类型检查的代码 — Python,已配置类型检查(presidio-analyzer/presidio_analyzer/py.typed, presidio-anonymizer/presidio_anonymizer/py.typed, presidio-image-redactor/presidio_image_redactor/py.typed, presidio-structured/presidio_structured/py.typed)
54.9/55可控的文件大小 — 采样的 468 个源文件中有 1 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes64,127
source_files_sampled468
oversized_source_files1

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 — notebooks, recipes, samples
所用输入
example_dirsnotebooks, recipes, samples
has_mcp_signal
api_schema_files

关键数据

10,090GitHub 星标
100贡献者
284最近 12 个月提交数
4距最近推送天数
48发布版本数
3巴士系数(bus factor)
48开放议题
PyPI软件包生态系统数

数据采集警告

  • pypi package 'presidio-cli' points at a different repository (https://github.com/insightsengineering/presidio-cli); excluded from ecosystem scoring
  • OpenSSF Scorecard did not return a usable result (2026/07/21 02:20:02 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

直接依赖 31
注册表软件包版本约束清单文件
PyPIspacy(>=3.4.4,!=3.7.0,<4.0.0)presidio-analyzer/pyproject.toml
PyPIspacy(>=3.4.4,!=3.7.0,!=3.8.14,<4.0.0)presidio-analyzer/pyproject.toml
PyPInumpy(>=1.19.0,<2.5.0)presidio-analyzer/pyproject.toml
PyPIclick(>=8.1.0,<9.0.0)presidio-analyzer/pyproject.toml
PyPIregex(>=2023.0.0)presidio-analyzer/pyproject.toml
PyPItldextract(>=5.3.1,<6.0.0)presidio-analyzer/pyproject.toml
PyPIpyyaml(>=6.0.3,<7.0.0)presidio-analyzer/pyproject.toml
PyPIphonenumbers(>=9.0.28,<10.0.0)presidio-analyzer/pyproject.toml
PyPIpydantic(>=2.12.5,<3.0.0)presidio-analyzer/pyproject.toml
PyPIcryptography(>=48.0.1,<49.0.0)presidio-anonymizer/pyproject.toml
PyPIpresidio-analyzer(>=2.2.0,<3.0.0)presidio-cli/pyproject.toml
PyPIpyyaml(>=6.0.0,<7.0.0)presidio-cli/pyproject.toml
PyPIpathspec(>=0.9.0,<2.0.0)presidio-cli/pyproject.toml
PyPIclick(>=8.1.0,<9.0.0)presidio-cli/pyproject.toml
PyPIpillow(>=9.0.0,<13.0.0)presidio-image-redactor/pyproject.toml
PyPIpytesseract(>=0.3.13,<0.4)presidio-image-redactor/pyproject.toml
PyPIpresidio-analyzer(>=2.2.0,<3.0.0)presidio-image-redactor/pyproject.toml
PyPImatplotlib(>=3.6.0,<4.0.0)presidio-image-redactor/pyproject.toml
PyPIpydicom(>=2.3.0,<4.0.0)presidio-image-redactor/pyproject.toml
PyPIpypng(>=0.20220715.0,<1.0.0)presidio-image-redactor/pyproject.toml
PyPIazure-ai-formrecognizer(>=3.3.3,<4.0.0)presidio-image-redactor/pyproject.toml
PyPIopencv-python(>=4.13.0.92,<5.0.0)presidio-image-redactor/pyproject.toml
PyPIpython-gdcm(>=3.0.24.1,<4.0.0)presidio-image-redactor/pyproject.toml
PyPIspacy(>=3.8.7,<4.0.0)presidio-image-redactor/pyproject.toml
PyPIspacy(>=3.8.7,!=3.8.14,<4.0.0)presidio-image-redactor/pyproject.toml
PyPIpresidio-analyzer(>=2.2.0,<3.0.0)presidio-structured/pyproject.toml
PyPIpresidio-anonymizer(>=2.2.0,<3.0.0)presidio-structured/pyproject.toml
PyPIpandas(>=1.5.2,<4.0.0)presidio-structured/pyproject.toml
PyPIclick(>=8.1.0,<9.0.0)presidio-structured/pyproject.toml
PyPIpresidio-analyzer(>=2.2.0,<3.0.0)presidio/pyproject.toml
PyPIpresidio-anonymizer(>=2.2.0,<3.0.0)presidio/pyproject.toml
全部依赖 293

来自 GitHub 依赖图的完整解析依赖集合:42 个直接依赖与 251 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
PyPIazure-ai-formrecognizer3.3.3直接
PyPIclick8.4.2直接
PyPIcryptography46.0.7直接
PyPIcryptography48.0.1直接
PyPIcryptography49.0.0直接
PyPImatplotlib3.10.9直接
PyPImatplotlib3.11.0直接
PyPInumpy2.0.2直接
PyPInumpy2.2.6直接
PyPInumpy2.4.6直接
PyPIopencv-python4.13.0.92直接
PyPIpandas直接
PyPIpandas2.3.3直接
PyPIpandas3.0.3直接
PyPIpathspec直接
PyPIpathspec1.1.1直接
PyPIphonenumbers9.0.33直接
PyPIphonenumbers9.0.34直接
PyPIpillow12.2.0直接
PyPIpillow12.3.0直接
PyPIpresidio-analyzer直接
PyPIpresidio-analyzer2.2.355直接
PyPIpresidio-analyzer2.2.359直接
PyPIpresidio-analyzer2.2.362直接
PyPIpresidio-analyzer2.2.363直接
PyPIpresidio-anonymizer直接
PyPIpresidio-anonymizer2.2.355直接
PyPIpresidio-anonymizer2.2.363直接
PyPIpydantic2.13.4直接
PyPIpydantic2.9.2直接
PyPIpydicom3.0.2直接
PyPIpypng0.20220715.0直接
PyPIpytesseract0.3.13直接
PyPIpython-gdcm3.2.6直接
PyPIpyyaml直接
PyPIpyyaml6.0.3直接
PyPIregex2026.6.28直接
PyPIregex2026.7.10直接
PyPIspacy3.8.13直接
PyPIspacy3.8.14直接
PyPIspacy3.8.2直接
PyPItldextract5.3.1直接
PyPIabsl-py2.4.0间接
PyPIabsl-py2.5.0间接
PyPIaccelerate1.14.0间接
PyPIaiohappyeyeballs2.7.1间接
PyPIaiohttp3.14.1间接
PyPIaiosignal1.4.0间接
PyPIannotated-doc0.0.4间接
PyPIannotated-types0.7.0间接
PyPIanyio4.14.1间接
PyPIasync-timeout5.0.1间接
PyPIattrs26.1.0间接
PyPIazure-ai-textanalytics间接
PyPIazure-ai-textanalytics5.4.0间接
PyPIazure-common1.1.28间接
PyPIazure-core1.41.0间接
PyPIazure-health-deidentification1.1.0b1间接
PyPIazure-identity1.25.3间接
PyPIblack间接
PyPIblinker1.9.0间接
PyPIblis1.0.2间接
PyPIblis1.3.3间接
PyPIbuild1.2.2.post1间接
PyPIcatalogue2.0.10间接
PyPIcertifi2026.6.17间接
PyPIcffi2.0.0间接
PyPIcffi2.1.0间接
PyPIcfgv3.5.0间接
PyPIchardet7.4.3间接
PyPIcharset-normalizer3.4.7间接
PyPIcharset-normalizer3.4.9间接
PyPIcloudpathlib0.24.0间接
PyPIcolorama0.4.6间接
PyPIcoloredlogs15.0.1间接
PyPIconfection0.1.5间接
PyPIconfection1.3.3间接
PyPIconfigargparse1.7间接
PyPIcontourpy1.3.2间接
PyPIcontourpy1.3.3间接
PyPIcoverage7.14.3间接
PyPIcoverage7.15.0间接
PyPIcuda-bindings13.3.1间接
PyPIcuda-pathfinder1.5.6间接
PyPIcuda-toolkit13.0.2间接
PyPIcuda-toolkit13.0.3.0间接
PyPIcycler0.12.1间接
PyPIcymem2.0.11间接
PyPIcymem2.0.13间接
PyPIdiff-cover10.3.0间接
PyPIdistlib0.4.3间接
PyPIdistro1.9.0间接
PyPIemoji2.15.0间接
PyPIexceptiongroup1.3.1间接
PyPIfastapi间接
PyPIfastapi0.129.0间接
PyPIfilelock3.29.4间接
PyPIfilelock3.29.5间接
PyPIfilelock3.29.7间接
PyPIflair间接
PyPIflask3.1.3间接
PyPIflatbuffers25.12.19间接
PyPIfonttools4.63.0间接
PyPIfrozenlist1.8.0间接
PyPIfsspec2026.6.0间接
PyPIgliner0.2.27间接
PyPIgoogle-api-core2.31.0间接
PyPIgoogle-auth2.55.1间接
PyPIgoogle-auth2.55.2间接
PyPIgoogle-cloud-core2.6.0间接
PyPIgoogle-cloud-storage3.12.0间接
PyPIgoogle-cloud-storage3.12.1间接
PyPIgoogle-crc32c1.8.0间接
PyPIgoogle-genai2.10.0间接
PyPIgoogle-genai2.11.0间接
PyPIgoogle-resumable-media2.10.0间接
PyPIgoogleapis-common-protos1.75.0间接
PyPIgunicorn25.3.0间接
PyPIh110.16.0间接
PyPIhf-xet1.5.1间接
PyPIhttpcore1.0.9间接
PyPIhttpx0.28.1间接
PyPIhuggingface-hub0.36.2间接
PyPIhumanfriendly10.0间接
PyPIidentify2.6.19间接
PyPIidna3.18间接
PyPIiniconfig2.3.0间接
PyPIisodate0.7.2间接
PyPIitsdangerous2.2.0间接
PyPIjinja23.1.6间接
PyPIjiter0.16.0间接
PyPIkiwisolver1.5.0间接
PyPIlangcodes3.5.1间接
PyPIlangextract1.5.0间接
PyPIlangextract1.6.0间接
PyPImarkdown间接
PyPImarkdown-it-py4.2.0间接
PyPImarkupsafe3.0.3间接
PyPImdurl0.1.2间接
PyPImkdocstrings-python间接
PyPIml-collections1.1.0间接
PyPImore-itertools11.1.0间接
PyPImpmath1.3.0间接
PyPImsal1.37.0间接
PyPImsal-extensions1.3.1间接
PyPImsrest0.7.1间接
PyPImultidict6.7.1间接
PyPImurmurhash1.0.12间接
PyPImurmurhash1.0.15间接
PyPInbconvert间接
PyPInetworkx3.4.2间接
PyPInetworkx3.6.1间接
PyPInodeenv1.10.0间接
PyPInvidia-cublas13.1.1.3间接
PyPInvidia-cuda-cupti13.0.85间接
PyPInvidia-cuda-nvrtc13.0.88间接
PyPInvidia-cuda-runtime13.0.96间接
PyPInvidia-cudnn-cu139.20.0.48间接
PyPInvidia-cufft12.0.0.61间接
PyPInvidia-cufile1.15.1.6间接
PyPInvidia-curand10.4.0.35间接
PyPInvidia-cusolver12.0.4.66间接
PyPInvidia-cusparse12.6.3.3间接
PyPInvidia-cusparselt-cu130.8.1间接
PyPInvidia-nccl-cu132.29.7间接
PyPInvidia-nvjitlink13.0.88间接
PyPInvidia-nvjitlink13.3.33间接
PyPInvidia-nvshmem-cu133.4.5间接
PyPInvidia-nvtx13.0.85间接
PyPIoauthlib3.3.1间接
PyPIonnxruntime1.23.2间接
PyPIonnxruntime1.27.0间接
PyPIopenai间接
PyPIopenai1.37.1间接
PyPIopenai2.44.0间接
PyPIopenai2.45.0间接
PyPIopentelemetry-api间接
PyPIopentelemetry-exporter-otlp-proto-grpc间接
PyPIopentelemetry-sdk间接
PyPIpackaging26.0间接
PyPIpackaging26.2间接
PyPIpip26.1.2间接
PyPIplatformdirs4.10.0间接
PyPIpluggy1.6.0间接
PyPIpre-commit间接
PyPIpre-commit4.6.0间接
PyPIpreshed3.0.13间接
PyPIpreshed3.0.9间接
PyPIpresidio-cli0.0.9间接
PyPIpresidio-image-redactor间接
PyPIpresidio-image-redactor0.0.59间接
PyPIpresidio-structured间接
PyPIpresidio-structured0.0.7间接
PyPIpropcache0.5.2间接
PyPIproto-plus1.28.0间接
PyPIproto-plus1.28.1间接
PyPIprotobuf7.35.1间接
PyPIpsutil7.2.2间接
PyPIpyasn10.6.3间接
PyPIpyasn10.6.4间接
PyPIpyasn1-modules0.4.2间接
PyPIpycparser3.0间接
PyPIpydantic-core2.46.4间接
PyPIpygments间接
PyPIpygments2.20.0间接
PyPIpyjwt2.13.0间接
PyPIpymdown-extensions间接
PyPIpyparsing3.3.2间接
PyPIpyproject-hooks1.2.0间接
PyPIpyreadline33.5.6间接
PyPIpytest间接
PyPIpytest9.1.1间接
PyPIpytest-cov间接
PyPIpytest-cov7.1.0间接
PyPIpytest-mock间接
PyPIpytest-mock3.15.1间接
PyPIpython-dateutil2.9.0.post0间接
PyPIpython-discovery1.4.2间接
PyPIpython-discovery1.4.3间接
PyPIpython-discovery1.4.4间接
PyPIpython-dotenv间接
PyPIpython-dotenv1.2.2间接
PyPIpytz2026.2间接
PyPIredis5.0.8间接
PyPIrequests间接
PyPIrequests2.34.2间接
PyPIrequests-file3.0.1间接
PyPIrequests-oauthlib2.0.0间接
PyPIrich15.0.0间接
PyPIruff间接
PyPIruff0.15.20间接
PyPIruff0.15.21间接
PyPIruff0.9.2间接
PyPIsafetensors0.8.0间接
PyPIsentencepiece0.2.1间接
PyPIsentencepiece0.2.2间接
PyPIsetuptools81.0.0间接
PyPIsetuptools82.0.1间接
PyPIsetuptools83.0.0间接
PyPIshellingham1.5.4间接
PyPIsix1.17.0间接
PyPIsmart-open7.7.1间接
PyPIsmart-open8.0.0间接
PyPIsniffio1.3.1间接
PyPIspacy-huggingface-pipelines0.0.4间接
PyPIspacy-legacy3.0.12间接
PyPIspacy-loggers1.0.5间接
PyPIsrsly2.4.8间接
PyPIsrsly2.5.3间接
PyPIst-annotated-text间接
PyPIstanza1.13.0间接
PyPIstreamlit间接
PyPIstreamlit-tags间接
PyPIsympy1.14.0间接
PyPItenacity9.1.4间接
PyPItermcolor3.3.0间接
PyPItextual0.79.1间接
PyPItextual-serve1.1.1间接
PyPIthinc8.3.13间接
PyPIthinc8.3.2间接
PyPItokenizers0.22.2间接
PyPItomli2.4.1间接
PyPItorch间接
PyPItorch2.12.1间接
PyPItorch2.13.0间接
PyPItqdm4.68.3间接
PyPItqdm4.68.4间接
PyPItransformers4.57.6间接
PyPItriton3.7.1间接
PyPItyper0.26.8间接
PyPItyper-slim0.24.0间接
PyPItyping-extensions4.15.0间接
PyPItyping-extensions4.16.0间接
PyPItyping-inspection0.4.2间接
PyPItzdata2026.2间接
PyPItzdata2026.3间接
PyPIudapi0.5.2间接
PyPIudtools0.2.8间接
PyPIurllib32.7.0间接
PyPIuvicorn间接
PyPIuvicorn0.30.6间接
PyPIvirtualenv21.5.1间接
PyPIvirtualenv21.6.1间接
PyPIwaitress3.0.2间接
PyPIwasabi1.1.3间接
PyPIweasel0.4.3间接
PyPIweasel1.0.0间接
PyPIwebsockets16.0间接
PyPIwebsockets16.1间接
PyPIwerkzeug3.1.8间接
PyPIwrapt2.2.2间接
PyPIyarl1.24.2间接
PyPIzensical间接
依赖安全公告 1

安装 pypi:presidio@2.2.363 会引入 55 个包(直接与传递):其中 1 个存在已知公告,0 个为直接依赖。

软件包版本关系严重程度公告数修复版本
cryptography46.0.7间接148.0.1

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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        {
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                "data-privacy",
                "data-redaction",
                "guardrails",
                "image-redactor",
                "named-entity-recognition",
                "nlp",
                "personally-identifiable-information",
                "phi",
                "sensitive-data",
                "spacy",
                "anonymization"
              ],
              "has_wiki": true,
              "homepage": "https://presidio.dataprivacystack.org",
              "has_readme": true,
              "has_docs_dir": true,
              "has_description": true
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": "https://presidio.dataprivacystack.org",
                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": "20 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
                    "params": {
                      "count": 20
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "excellent",
        "name": "Security",
        "value": 97,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "excellent",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "dependency_lockfiles"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "file_signals",
              "lockfiles": [
                "uv.lock"
              ],
              "manifests": [
                "docs/requirements-docs.txt",
                "e2e-tests/requirements.txt",
                "presidio-analyzer/Pipfile",
                "presidio-analyzer/pyproject.toml",
                "presidio-anonymizer/pyproject.toml",
                "presidio-cli/Pipfile",
                "presidio-cli/pyproject.toml",
                "presidio-image-redactor/pyproject.toml",
                "presidio-structured/pyproject.toml",
                "presidio/pyproject.toml",
                "pyproject.toml"
              ],
              "has_codeql_workflow": true,
              "has_security_policy": true,
              "has_dependabot_config": true
            },
            "components": [
              {
                "key": "security_policy_security_md",
                "name": "Security policy (SECURITY.md)",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "dependabot_config",
                "name": "Dependabot config",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "dependency_lockfiles",
                "name": "Dependency lockfiles",
                "detail": "published library — lockfiles are an application concern, not expected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "lockfiles_not_expected",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "codeql_workflow",
                "name": "CodeQL workflow",
                "detail": null,
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Matched the pypi:presidio@2.2.363 runtime dependency closure — what installing the published package pulls in — 55 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:presidio@2.2.363",
                  "assessed": 55
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 85,
            "inputs": {
              "source": "osv",
              "advisories": 1,
              "affected_packages": 1,
              "assessed_packages": 55,
              "unassessed_packages": 0,
              "affected_by_severity": "high 1",
              "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": "1 affected: cryptography 46.0.7 (high 7.5)",
                "points": 10,
                "status": "partial",
                "details": [
                  {
                    "code": "advisories_affected",
                    "params": {
                      "count": 1,
                      "packages": "cryptography 46.0.7 (high 7.5)"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory has been public longer than 90 days",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "advisories_none_stale",
                    "params": {
                      "days": 90
                    }
                  }
                ],
                "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": 55,
              "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": 5
            },
            "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": "good",
        "name": "AI Readiness",
        "value": 70,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "good",
            "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": 75,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "agent_instruction_files": [
                ".github/copilot-instructions.md"
              ],
              "agent_instruction_max_bytes": 26062
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": ".github/copilot-instructions.md",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": ".github/copilot-instructions.md"
                    }
                  }
                ],
                "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": "good",
            "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": 74,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "uv.lock"
              ],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": true,
              "has_linter_config": true,
              "typecheck_configs": [
                "presidio-analyzer/presidio_analyzer/py.typed",
                "presidio-anonymizer/presidio_anonymizer/py.typed",
                "presidio-image-redactor/presidio_image_redactor/py.typed",
                "presidio-structured/presidio_structured/py.typed"
              ],
              "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": "presidio-analyzer/presidio_analyzer/py.typed, presidio-anonymizer/presidio_anonymizer/py.typed, presidio-image-redactor/presidio_image_redactor/py.typed, presidio-structured/presidio_structured/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "presidio-analyzer/presidio_analyzer/py.typed, presidio-anonymizer/presidio_anonymizer/py.typed, presidio-image-redactor/presidio_image_redactor/py.typed, presidio-structured/presidio_structured/py.typed"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "devcontainer, Dockerfile, lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "devcontainer, Dockerfile, 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": "OpenSSF Scorecard unavailable",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 82,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 64127,
              "source_files_sampled": 468,
              "oversized_source_files": 1
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (presidio-analyzer/presidio_analyzer/py.typed, presidio-anonymizer/presidio_anonymizer/py.typed, presidio-image-redactor/presidio_image_redactor/py.typed, presidio-structured/presidio_structured/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "presidio-analyzer/presidio_analyzer/py.typed, presidio-anonymizer/presidio_anonymizer/py.typed, presidio-image-redactor/presidio_image_redactor/py.typed, presidio-structured/presidio_structured/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "1/468 source files over 60KB",
                "points": 54.9,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 468,
                      "oversized": 1
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "notebooks",
                "recipes",
                "samples"
              ],
              "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": "notebooks, recipes, samples",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "notebooks, recipes, samples"
                    }
                  }
                ],
                "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": [
    "pypi package 'presidio-cli' points at a different repository (https://github.com/insightsengineering/presidio-cli); excluded from ecosystem scoring",
    "OpenSSF Scorecard did not return a usable result (2026/07/21 02:20:02 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-21T02:21:02.917332Z",
  "schema_version": "0.16.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/d/data-privacy-stack/presidio.svg",
  "full_name": "data-privacy-stack/presidio",
  "license_state": "standard",
  "license_spdx": "MIT"
}

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 v0.16.0—— 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.