公开记录
软件健康报告模式 0.34.0 · 指标 2.10.0 · 2026-09-20 05:29 UTC

UW-Macrostrat / macrostrat

A geological data platform for exploration, integration, and analysis

PythonApache-2.0★ 10 星标⑂ 3 复刻始于 2023年11月在 GitHub 上查看 ↗
类型命令行工具网络服务插件如何判定

UW-Macrostrat/macrostrat 的健康指数为 100 分中的 65 分，处于「良好」区间。 其得分最高的类别是Engineering Quality（86/100），最低的是Security（32/100）。 最近一次更新在 1 天前。 近期的大部分工作由 1 位贡献者完成。

65
总分 / 100
良好

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，再依据公开记录的分布进行校准，使各等级具有百分位含义；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 34（存在风险）的上限。

65
卓越93-100公开记录中的最高层级（约前 5%）；基本满足所有检验标准
优秀80-92各方面均表现强劲；仅有少量不足
良好65-79健康；不足之处有限且可控
中等50-64可接受，但存在明显不足；建议进行审查
薄弱35-49多个领域存在实质性薄弱环节
存在风险20-34存在重大薄弱环节；采用时应保持审慎
危急1-19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。

加权总体分 60 经校准后在公布的指数量表上为 65（记录校准 2026-08-02）。

所有权

Macrostrat组织
32 关注者90 个公开仓库始于 2013年11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。

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？

83优秀 · 占总体的 21%

开发活跃度

99卓越
评分方式
36/36推送新近度 — 最近一次推送于 1 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 1,158 次提交
10/10OpenSSF Scorecard：Maintained — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10
所用输入
commits_last_year1,158
human_commit_share0.9
days_since_last_push1
active_weeks_last_year51

发布纪律

58中等
评分方式
16.2/27有发布版本 — 17 个版本标签（无 GitHub 发布版本）
16.2/36发布时效 — 最近一次发布版本于 326 天前
19.8/27发布节奏 — 约每 77.5 天发布一次
0/10OpenSSF Scorecard：Signed-Releases — 无数据
所用输入
releases_count17
latest_release_tagv2.3.1
releases_from_tags是
days_since_latest_release326
mean_days_between_releases77.5
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？

35薄弱 · 占总体的 17%

流行度与采用

22存在风险
评分方式
15.5/60星标 — 10 个星标
2.5/25复刻 — 3 个复刻
4.3/15关注者 — 7 位关注者
所用输入
forks3
stars10
watchers7
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

50中等
评分方式
22.5/22.5README
22.5/22.5许可证 — 可识别的许可证（Apache-2.0）
0/18CONTRIBUTING 指南
0/13.5行为准则
0/7.2议题模板
0/6.3PR 模板
所用输入
has_readme是
has_license是
readme_badges0
has_contributing否
has_issue_template否
has_code_of_conduct否
readme_badge_services—
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？

53中等 · 占总体的 23%

维护者韧性（巴士系数）

44薄弱
评分方式
9/54巴士系数 — 1 位贡献者贡献了半数提交
11/22.5提交分布 — 头号贡献者编写了 51% 的提交
13.5/13.5贡献者广度 — 11 位贡献者
10/10OpenSSF Scorecard：Contributors — project has 12 contributing companies or organizations
所用输入
bus_factor1
contributors_sampled11
top_contributor_share0.511

议题与 PR 响应能力

50中等
评分方式
13.9/42议题解决 — 33% 的议题已关闭
29.5/30PR 接受 — 已裁定的 PR 中 167/170 已合并
0/13Newcomer PR acceptance — 30 天内没有首次贡献者的 PR 得到裁决
0/15OpenSSF Scorecard：Code-Review — Found 0/10 approved changesets -- score normalized to 0
所用输入
merged_prs167
open_issues95
closed_issues47
prs_merged_7d0
prs_decided_7d0
prs_merged_30d9
prs_decided_30d9
issue_closed_ratio0.331
closed_unmerged_prs3
first_time_authors_30d0
first_time_prs_merged_30d0
first_time_prs_decided_30d0
已排除计分（无数据或不适用）：Newcomer PR acceptance。 其余权重已重新归一化。

所有权与托管责任

66良好
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
10.9/25所有者影响力 — UW-Macrostrat 有 32 位关注者
25/25既往记录 — 90 个公开仓库，账户约 12 年
所用输入
followers32
owner_typeOrganization
is_verified否
owner_loginUW-Macrostrat
public_repos90
account_age_days4,687

工程质量

基础的工程与文档实践是否到位？

86优秀 · 占总体的 19%

工程实践

94卓越
评分方式
24/24CI 工作流 — 7 个工作流
24/24存在测试
16/16Linter 配置 — py-modules/core/pyproject.toml ([tool.pylint], [tool.black], [tool.isort]), py-modules/map-integration/pyproject.toml ([tool.pylint], [tool.black], [tool.isort]), py-modules/map-staging/pyproject.toml ([tool.pylint], [tool.black], [tool.isort]), pyproject.toml ([tool.ruff], [tool.pylint])
9.6/9.6Pre-commit 钩子
0/6.4.editorconfig
20/20OpenSSF Scorecard：CI-Tests — 3 out of 3 merged PRs checked by a CI test -- score normalized to 10
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
30/30README
25/25文档目录
0/15文档 / 主页站点
10/10仓库描述
0/10主题标签
10/10Wiki
所用输入
topics—
has_wiki是
homepage—
docs_site—
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？

32存在风险 · 占总体的 16%

安全态势

38薄弱
评分方式
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
2.5/2.5CI-Tests — 3 out of 3 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
0/7.5Code-Review — Found 0/10 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 12 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5许可证 — license file detected
7.5/7.5Maintained — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — 无数据
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 150 existing vulnerabilities detected
所用输入
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate3.8
已排除计分（无数据或不适用）：Signed-Releases。 其余权重已重新归一化。

依赖安全公告

10危急
评分方式
1.1/35直接依赖不含已知公告 — 34 个受影响：aiohttp 3.13.2 (critical 9.1), fiona 1.9.6 (critical 9.8), pymysql 1.1.0 (critical 9.8)，另有 31 个
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
6.3/40没有长期未处理的公告 — 29 个携带公告的软件包超过 90 天未处理；最早一条发布于 887 天前
所用输入
sourceosv
advisories397
affected_packages67
assessed_packages547
unassessed_packages65
affected_by_severitycritical 14, high 31, moderate 19, low 3
direct_affected_packages34
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 547 个已解析依赖与 OSV 比对。 有 65 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？权重刻意设小（4%）：代理工具链是一项真实的维护信号，但完全不具备的仓库仍可达到 100/100。

66良好 · 占总体的 4%

AI 代理上下文与指引

66良好
评分方式
45/45代理指令 — AGENTS.md, CLAUDE.md
0/15机器可读文档（llms.txt）
20.7/40可读的提交历史 — 90 次人类提交中有 35 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
llms_txt_url—
legible_history_share0.389
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes7,206

验证循环（构建 / 测试 / 类型检查）

71良好
评分方式
18/18一条命令的引导启动 — Makefile, __archive__/column-builder/Makefile, local-root/Makefile, mise.toml, py-modules/map-integration/Makefile, py-modules/map-staging/Makefile, py-modules/map-staging/macrostrat/map_staging/Makefile, py-modules/map-staging/macrostrat/map_staging/arizona_gems_scraping/Makefile, py-modules/map-staging/macrostrat/map_staging/japan_scrapers/Makefile, services/api-v3/Makefile, services/legacy-tileserver/Makefile, services/legacy-tileserver/mise.toml, services/tileserver/Makefile
22/22自动化测试
11/11Lint / 格式化配置 — py-modules/core/pyproject.toml ([tool.pylint], [tool.black], [tool.isort]), py-modules/map-integration/pyproject.toml ([tool.pylint], [tool.black], [tool.isort]), py-modules/map-staging/pyproject.toml ([tool.pylint], [tool.black], [tool.isort]), pyproject.toml ([tool.ruff], [tool.pylint])
0/11静态类型检查
10/10可复现环境 — Dockerfile, lockfile
10/10已体现的代理实践 — 最近 100 次提交中有 18 次由代理编写或署名代理
0/8自动化维护 — 未观察到自动依赖更新
0/10OpenSSF Scorecard：Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
所用输入
has_nix否
has_tests是
lockfilesuv.lock
has_dockerfile是
typed_language否
bootstrap_filesMakefile, __archive__/column-builder/Makefile, local-root/Makefile, mise.toml, py-modules/map-integration/Makefile, py-modules/map-staging/Makefile, py-modules/map-staging/macrostrat/map_staging/Makefile, py-modules/map-staging/macrostrat/map_staging/arizona_gems_scraping/Makefile, py-modules/map-staging/macrostrat/map_staging/japan_scrapers/Makefile, services/api-v3/Makefile, services/legacy-tileserver/Makefile, services/legacy-tileserver/mise.toml, services/tileserver/Makefile
has_devcontainer否
has_linter_config是
typecheck_configs—
agent_commit_share0.18
toolchain_manifests—
dependency_bot_commit_share0

面向模型的代码可读性

55中等
评分方式
0/45可类型检查的代码 — Python，未配置类型检查
54.9/55可控的文件大小 — 采样的 376 个源文件中有 1 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes182,146
source_files_sampled376
oversized_source_files1

关键数据

10GitHub 星标
11贡献者
1,158最近 12 个月提交数
1距最近推送天数
17发布版本数
1巴士系数（bus factor）
95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 'macrostrat-system' from its registry
  • Could not fetch pypi package 'macrostrat.cli' from its registry
  • Could not fetch pypi package 'macrostrat.core' from its registry
  • Could not fetch pypi package 'api' from its registry
  • Could not fetch pypi package 'macrostrat.worker' from its registry
  • Could not fetch pypi package 'macrostrat.tileserver' from its registry
  • Could not fetch pypi package 'macrostrat.map_utils' from its registry
  • Could not fetch pypi package 'usage-stats-service' from its registry
  • Could not fetch pypi package 'macrostrat.raster_cli' from its registry

更多细节

Star 与 Fork 历史 0 ★ / 3 ⇿
0Star
3Fork
4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。

12233312024-072025-072026-08
主版本 0次版本 0修订 1

每个点涵盖 2 天。

OpenSSF Scorecard 3.8 / 10
3.8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 · 2026-09-20 05:29 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
10CI-Tests3 out of 3 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/10 approved changesets -- score normalized to 0
10Contributorsproject has 12 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
不适用Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities150 existing vulnerabilities detected
直接依赖 204
注册表软件包版本约束清单文件
PyPIsetuptools>=75.8.2,<81.0.0pyproject.toml
PyPImacrostrat.cli—pyproject.toml
PyPImacrostrat.match-utils—pyproject.toml
PyPImacrostrat.core—pyproject.toml
PyPImacrostrat.schema-management—pyproject.toml
PyPIapi—pyproject.toml
PyPImacrostrat.map_utils—pyproject.toml
PyPImacrostrat.worker—pyproject.toml
PyPImacrostrat.raster_index>=0.3.1,<1pyproject.toml
PyPImacrostrat.raster_layers>=0.3.2,<1pyproject.toml
PyPItestcontainers>=4.14.2pyproject.toml
PyPIpsycopg>=3.3.3pyproject.toml
PyPItruststore>=0.10.4pyproject.toml
PyPIFiona>=1.8.22,<2py-modules/cli/pyproject.toml
PyPIPyMySQL>=1.0.2,<2py-modules/cli/pyproject.toml
PyPIPyYAML~=6.0py-modules/cli/pyproject.toml
PyPISQLAlchemy>=2.0.0,<3py-modules/cli/pyproject.toml
PyPIdynaconf>=3.1.12,<4py-modules/cli/pyproject.toml
PyPIgeopandas>=1.1.3,<2py-modules/cli/pyproject.toml
PyPIipython>=8.5.0,<10py-modules/cli/pyproject.toml
PyPIpolars>=1.42.0,<2py-modules/cli/pyproject.toml
PyPIpyogrio>=0.12.1,<1py-modules/cli/pyproject.toml
PyPImacrostrat.app-frame>=3.0.0,<4py-modules/cli/pyproject.toml
PyPImacrostrat.database>=4.0.1,<5py-modules/cli/pyproject.toml
PyPImacrostrat.utils>=1.3.3,<2py-modules/cli/pyproject.toml
PyPImacrostrat.dinosaur>=4.0.0,<5py-modules/cli/pyproject.toml
PyPImacrostrat.core—py-modules/cli/pyproject.toml
PyPImacrostrat.schema-management—py-modules/cli/pyproject.toml
PyPImacrostrat.integrations—py-modules/cli/pyproject.toml
PyPImacrostrat.map-integration—py-modules/cli/pyproject.toml
PyPImacrostrat.map-topology—py-modules/cli/pyproject.toml
PyPImacrostrat.match-utils—py-modules/cli/pyproject.toml
PyPImacrostrat.column-ingestion—py-modules/cli/pyproject.toml
PyPImacrostrat.usage_stats—py-modules/cli/pyproject.toml
PyPImacrostrat.radosgw-admin—py-modules/cli/pyproject.toml
PyPInumpy>=2.0.0,<3py-modules/cli/pyproject.toml
PyPIpyproj>=3.4.0,<4py-modules/cli/pyproject.toml
PyPIpython-dotenv>=1.0.0,<2py-modules/cli/pyproject.toml
PyPIpython-jose>=3.3.0,<4py-modules/cli/pyproject.toml
PyPIrequests>=2.28.1,<3py-modules/cli/pyproject.toml
PyPIrich>=13,<16py-modules/cli/pyproject.toml
PyPIscipy>=1.9.3,<2py-modules/cli/pyproject.toml
PyPIshapely>=2.1.0,<3py-modules/cli/pyproject.toml
PyPIspectra>=0.0.11,<0.0.12py-modules/cli/pyproject.toml
PyPItiletanic>=1.1.0,<2py-modules/cli/pyproject.toml
PyPItqdm>=4.65.0,<5py-modules/cli/pyproject.toml
PyPItyper>=0.12,<0.27py-modules/cli/pyproject.toml
PyPIclick>=8.1.0,<8.4.0py-modules/cli/pyproject.toml
PyPIdocker>=7,<8py-modules/cli/pyproject.toml
PyPItoml>=0.10.2,<0.11py-modules/cli/pyproject.toml
PyPIgreenlet>=3.0.3,<4py-modules/cli/pyproject.toml
PyPIparamiko>=3.4.0,<4py-modules/cli/pyproject.toml
PyPIpytest>=8.3.4,<10py-modules/cli/pyproject.toml
PyPIsetuptools>=75.8.2,<81py-modules/cli/pyproject.toml
PyPIopenpyxl>=3.1.5,<4py-modules/cli/pyproject.toml
PyPIresults==1.4.0py-modules/cli/pyproject.toml
PyPIpg-activity>=3.6.2py-modules/cli/pyproject.toml
PyPIfastexcel>=0.16.0py-modules/column-ingestion/pyproject.toml
PyPIopenpyxl>=3.1.5py-modules/column-ingestion/pyproject.toml
PyPIpolars>=1.36.1py-modules/column-ingestion/pyproject.toml
PyPIpydantic>=2.12.5py-modules/column-ingestion/pyproject.toml
PyPItyper>=0.25.0,<0.27py-modules/column-ingestion/pyproject.toml
PyPImacrostrat.utils>=1.3.1,<2.0.0py-modules/column-ingestion/pyproject.toml
PyPImacrostrat.database>=4.6.1,<5.0.0py-modules/column-ingestion/pyproject.toml
PyPImacrostrat.core—py-modules/column-ingestion/pyproject.toml
PyPIscipy>=1.17.1py-modules/column-ingestion/pyproject.toml
PyPIxlsxwriter>=3.2.9py-modules/column-ingestion/pyproject.toml
PyPIdynaconf>=3.1.12,<4py-modules/core/pyproject.toml
PyPImacrostrat.app-frame>=3.1.0,<4py-modules/core/pyproject.toml
PyPImacrostrat.database>=4.6.1,<5py-modules/core/pyproject.toml
PyPIpydantic>=2.5,<3py-modules/core/pyproject.toml
PyPIpython-dotenv>=1.0.0,<2py-modules/core/pyproject.toml
PyPIsqlalchemy>=2.0.28,<3py-modules/core/pyproject.toml
PyPItoml>=0.10.2,<0.11py-modules/core/pyproject.toml
PyPIclick>=8.1.0,<10py-modules/core/pyproject.toml
PyPImacrostrat.database>=4.0.0,<5py-modules/integrations/pyproject.toml
PyPImacrostrat.utils>=1.2.2,<2py-modules/integrations/pyproject.toml
PyPImacrostrat.core—py-modules/integrations/pyproject.toml
PyPItyper>=0.12,<0.26py-modules/integrations/pyproject.toml
PyPIhttpx>=0.27.2,<0.29py-modules/integrations/pyproject.toml
PyPIgeopandas>=1.1.3,<2py-modules/map-integration/pyproject.toml
PyPIipython>=8.5.0,<10py-modules/map-integration/pyproject.toml
PyPImacrostrat.database>=4.6.1,<5py-modules/map-integration/pyproject.toml
PyPInumpy>=2.0.0,<3py-modules/map-integration/pyproject.toml
PyPIpyproj>=3.4.0,<4py-modules/map-integration/pyproject.toml
PyPIrich>=13,<16.0py-modules/map-integration/pyproject.toml
PyPIscipy>=1.17.1,<2py-modules/map-integration/pyproject.toml
PyPItyper>=0.12,<0.26py-modules/map-integration/pyproject.toml
PyPIminio>=7.2.5,<8py-modules/map-integration/pyproject.toml
PyPIpython-dotenv>=1,<2py-modules/map-integration/pyproject.toml
PyPIpylibmagic>=0.5.0,<0.6py-modules/map-integration/pyproject.toml
PyPIpython-magic>=0.4.27,<0.5py-modules/map-integration/pyproject.toml
PyPIpyyaml~=6.0py-modules/map-integration/pyproject.toml
PyPIshapely>=2.1.2,<3py-modules/map-integration/pyproject.toml
PyPIpyogrio>=0.12.1,<0.13py-modules/map-integration/pyproject.toml
PyPIpsycopg>=3.0.0,<4py-modules/map-integration/pyproject.toml
PyPImacrostrat.core—py-modules/map-integration/pyproject.toml
PyPImacrostrat.map_utils—py-modules/map-integration/pyproject.toml
PyPIbeautifulsoup4>=4.12,<4.13py-modules/map-staging/pyproject.toml
PyPIrequests>=2.31,<2.34py-modules/map-staging/pyproject.toml
PyPImacrostrat.cli—py-modules/map-staging/pyproject.toml
PyPImacrostrat.core—py-modules/map-staging/pyproject.toml
PyPImacrostrat.map_integration—py-modules/map-staging/pyproject.toml
PyPImacrostrat.database>=4.2.0py-modules/map-topology/pyproject.toml
PyPImacrostrat.core—py-modules/map-topology/pyproject.toml
PyPImapboard.topology-manager—py-modules/map-topology/pyproject.toml
PyPIpytest>=8.3.4,<10py-modules/map-topology/pyproject.toml
PyPImacrostrat.database>=4.0.0,<5py-modules/map-utils/pyproject.toml
PyPIpsycopg>=3.0,<4py-modules/map-utils/pyproject.toml
PyPIminio>=7.2,<8py-modules/map-utils/pyproject.toml
PyPIgeopandas>=0.14.4py-modules/match-utils/pyproject.toml
PyPImacrostrat.database>=4.0.0py-modules/match-utils/pyproject.toml
PyPIpandas>=2.3.3py-modules/match-utils/pyproject.toml
PyPIpydantic>=2.12.4py-modules/match-utils/pyproject.toml
PyPItyper>=0.12,<0.25py-modules/raster-cli/pyproject.toml
PyPIrio-cogeo>=5.0.0,<6py-modules/raster-cli/pyproject.toml
PyPIboto3>=1.28.50,<2py-modules/raster-cli/pyproject.toml
PyPIwget~=3.2py-modules/raster-cli/pyproject.toml
PyPIpython-dotenv>=1.0.0,<2py-modules/raster-cli/pyproject.toml
PyPImacrostrat.app-frame>=3.0.0,<4py-modules/schema-management/pyproject.toml
PyPImacrostrat.database>=4.6.0,<5py-modules/schema-management/pyproject.toml
PyPImacrostrat.utils>=1.3.3,<2py-modules/schema-management/pyproject.toml
PyPImacrostrat.dinosaur>=4.0.0,<5py-modules/schema-management/pyproject.toml
PyPIrich>=13,<16py-modules/schema-management/pyproject.toml
PyPItyper>=0.22,<0.27py-modules/schema-management/pyproject.toml
PyPIclick>=8.1.0,<10py-modules/schema-management/pyproject.toml
PyPIdocker>=7,<8py-modules/schema-management/pyproject.toml
PyPIpytest>=8.3.4,<9py-modules/schema-management/pyproject.toml
PyPIresults>=1.4.0,<1.5.0py-modules/schema-management/pyproject.toml
PyPItestcontainers>=4.14.2py-modules/schema-management/pyproject.toml
PyPIhttpx>=0.28.1py-modules/schema-management/pyproject.toml
PyPImacrostrat.map-topology—py-modules/schema-management/pyproject.toml
PyPImacrostrat.core—py-modules/schema-management/pyproject.toml
PyPIstarlette(>=0.37.0,<0.47.0)py-modules/tileserver-utils/pyproject.toml
PyPIfastapi(>=0.111.0,<0.123.0)py-modules/tileserver-utils/pyproject.toml
PyPImorecantile(>=5.0.0,<8.0.0)py-modules/tileserver-utils/pyproject.toml
PyPIbuildpg(>=0.4,<0.5)py-modules/tileserver-utils/pyproject.toml
PyPImacrostrat.utils(>=1.3.1,<2.0.0)py-modules/tileserver-utils/pyproject.toml
PyPIpydantic(>=2.11.4,<3.0.0)py-modules/tileserver-utils/pyproject.toml
PyPImacrostrat.database>=4.4.1,<5py-modules/usage-stats-capture/pyproject.toml
PyPIminio>=7.2.20py-modules/usage-stats-capture/pyproject.toml
PyPIpydantic>=2,<3py-modules/usage-stats-capture/pyproject.toml
PyPIzstandard>=0.25.0py-modules/usage-stats-capture/pyproject.toml
PyPImacrostrat.usage_stats_capture—py-modules/usage-stats/pyproject.toml
PyPImacrostrat.core—py-modules/usage-stats/pyproject.toml
PyPIrich>=13,<16py-modules/usage-stats/pyproject.toml
PyPItyper>=0.12,<0.27py-modules/usage-stats/pyproject.toml
PyPImatplotlib>=3.9.2,<4py-modules/usage-stats/pyproject.toml
PyPIpolars>=1.42.0,<2py-modules/usage-stats/pyproject.toml
PyPIsqlalchemy>=2.0.22,<3services/api-v3/pyproject.toml
PyPIpython-dotenv>=1.0.0,<2services/api-v3/pyproject.toml
PyPIfastapi>=0.121.2,<0.123services/api-v3/pyproject.toml
PyPIhttpx>=0.27.0,<0.29services/api-v3/pyproject.toml
PyPIasyncpg>=0.28.0,<0.31.0services/api-v3/pyproject.toml
PyPIpytest-asyncio>=1.3.0,<2services/api-v3/pyproject.toml
PyPIuvicorn>=0.23.2,<0.46.0services/api-v3/pyproject.toml
PyPIgeojson-pydantic>=2.1.1,<3services/api-v3/pyproject.toml
PyPIpyjwt>=2.8.0,<3services/api-v3/pyproject.toml
PyPIwerkzeug>=3.0.1,<4services/api-v3/pyproject.toml
PyPIaiohttp>=3.8.6,<4services/api-v3/pyproject.toml
PyPIpython-jose>=3.3.0,<4services/api-v3/pyproject.toml
PyPIbcrypt>=4.1.1,<5services/api-v3/pyproject.toml
PyPIminio>=7.2.3,<8services/api-v3/pyproject.toml
PyPInumpy>=2.4.4,<3services/api-v3/pyproject.toml
PyPIpython-multipart>=0.0.9,<0.0.10services/api-v3/pyproject.toml
PyPIpython-slugify>=8.0.4,<9services/api-v3/pyproject.toml
PyPImacrostrat.database>=4.0.0,<5services/api-v3/pyproject.toml
PyPImacrostrat.match-utils—services/api-v3/pyproject.toml
PyPImorecantile>=7.0.2services/api-v3/pyproject.toml
PyPIpydantic-settings>2services/api-v3/pyproject.toml
PyPIcelery>=5.3,<6services/api-v3/pyproject.toml
PyPIfastapi>=0.111.0,<0.112services/legacy-tileserver/pyproject.toml
PyPIpython-dotenv>=1.0.0,<2services/legacy-tileserver/pyproject.toml
PyPItyper>=0.12,<0.25services/legacy-tileserver/pyproject.toml
PyPIuvicorn==0.16.0services/legacy-tileserver/pyproject.toml
PyPIasyncpg>=0.23.0,<0.24services/legacy-tileserver/pyproject.toml
PyPIbuildpg>=0.4,<0.5services/legacy-tileserver/pyproject.toml
PyPImorecantile>=6.2.0,<7services/legacy-tileserver/pyproject.toml
PyPImacrostrat.utils>=1.2.0,<2services/legacy-tileserver/pyproject.toml
PyPImacrostrat.tileserver-utils—services/legacy-tileserver/pyproject.toml
PyPIsqlalchemy>=2.0.43services/legacy-tileserver/pyproject.toml
PyPIfastapi>=0.111.0,<0.140services/tileserver/pyproject.toml
PyPImacrostrat.database>=4.5,<5services/tileserver/pyproject.toml
PyPIsqlparse>=0.5.1,<0.6services/tileserver/pyproject.toml
PyPImacrostrat.utils>=1.2.0,<2services/tileserver/pyproject.toml
PyPIpytest>=7.2.1,<10services/tileserver/pyproject.toml
PyPIpython-dotenv>=1.0.0,<2services/tileserver/pyproject.toml
PyPItyper>=0.12,<0.27services/tileserver/pyproject.toml
PyPIuvicorn>=0.34.2,<0.50services/tileserver/pyproject.toml
PyPItitiler.core>=1,<2services/tileserver/pyproject.toml
PyPIhttpx>=0.27.2,<0.28services/tileserver/pyproject.toml
PyPImapbox-vector-tile>=2.1.0,<3services/tileserver/pyproject.toml
PyPImacrostrat.tileserver-utils—services/tileserver/pyproject.toml
PyPIbuildpg>=0.4,<0.5services/tileserver/pyproject.toml
PyPIasyncpg>=0.29,<0.31services/tileserver/pyproject.toml
PyPIorjson>=3.9,<4services/tileserver/pyproject.toml
PyPIpydantic-settings>=2.0,<3services/tileserver/pyproject.toml
PyPIstarlette-cramjam>=0.3,<0.5services/tileserver/pyproject.toml
PyPImorecantile>=5.0,<8.0services/tileserver/pyproject.toml
PyPImacrostrat.raster_index>=0.3.1,<1services/tileserver/pyproject.toml
PyPImacrostrat.raster_layers>=0.3.2,<1services/tileserver/pyproject.toml
PyPIpydantic>=2.11.7services/tileserver/pyproject.toml
PyPImacrostrat.usage_stats_capture—services/usage-stats/pyproject.toml
PyPIcelery>=5.3,<6services/worker/pyproject.toml
全部依赖 612

来自 GitHub 依赖图的完整解析依赖集合：244 个直接依赖与 368 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
PyPIaiohttp3.13.2直接
PyPIaiohttp3.14.1直接
PyPIapi2.3.5b1直接
PyPIasyncpg0.23.0直接
PyPIasyncpg0.28.0直接
PyPIasyncpg0.30.0直接
PyPIbcrypt4.3.0直接
PyPIbcrypt5.0.0直接
PyPIbeautifulsoup4—直接
PyPIbeautifulsoup44.12.3直接
PyPIboto3—直接
PyPIboto31.43.65直接
PyPIbuildpg—直接
PyPIbuildpg0.4直接
PyPIcelery—直接
PyPIcelery5.6.3直接
PyPIclick—直接
PyPIclick8.1.7直接
PyPIclick8.1.8直接
PyPIclick8.2.1直接
PyPIclick8.3.0直接
PyPIclick8.3.1直接
PyPIclick8.3.3直接
PyPIclick8.4.2直接
PyPIdocker6.1.3直接
PyPIdocker7.1.0直接
PyPIdocker7.2.0直接
PyPIdynaconf—直接
PyPIdynaconf3.2.12直接
PyPIdynaconf3.2.13直接
PyPIdynaconf3.2.5直接
PyPIdynaconf3.3.2直接
PyPIdynaconf3.3.5直接
PyPIfastapi—直接
PyPIfastapi0.111.1直接
PyPIfastapi0.121.3直接
PyPIfastapi0.122.1直接
PyPIfastexcel0.19.0直接
PyPIfastexcel0.20.2直接
PyPIfiona1.10.1直接
PyPIfiona1.9.6直接
PyPIgeojson-pydantic1.2.0直接
PyPIgeojson-pydantic2.1.1直接
PyPIgeopandas—直接
PyPIgeopandas0.14.4直接
PyPIgeopandas1.1.1直接
PyPIgeopandas1.1.3直接
PyPIgeopandas1.1.4直接
PyPIgreenlet3.0.3直接
PyPIgreenlet3.2.4直接
PyPIgreenlet3.3.0直接
PyPIgreenlet3.3.2直接
PyPIgreenlet3.5.3直接
PyPIgreenlet3.5.5直接
PyPIhttpx—直接
PyPIhttpx0.27.2直接
PyPIhttpx0.28.1直接
PyPIipython8.24.0直接
PyPIipython8.37.0直接
PyPIipython9.15.0直接
PyPImacrostrat-app-frame—直接
PyPImacrostrat-app-frame1.2.3直接
PyPImacrostrat-app-frame2.2.0直接
PyPImacrostrat-app-frame3.0.4直接
PyPImacrostrat-app-frame3.1.0直接
PyPImacrostrat-cli—直接
PyPImacrostrat-cli3.0.0直接
PyPImacrostrat-column-ingestion—直接
PyPImacrostrat-column-ingestion0.1.0直接
PyPImacrostrat-core—直接
PyPImacrostrat-core2.0.1直接
PyPImacrostrat-database—直接
PyPImacrostrat-database3.1.2直接
PyPImacrostrat-database3.3.0直接
PyPImacrostrat-database3.5.4直接
PyPImacrostrat-database4.0.1直接
PyPImacrostrat-database4.4.0直接
PyPImacrostrat-database4.5.0直接
PyPImacrostrat-database4.6.1直接
PyPImacrostrat-dinosaur3.2.0直接
PyPImacrostrat-dinosaur3.3.0直接
PyPImacrostrat-dinosaur4.2.0直接
PyPImacrostrat-integrations1.0.0直接
PyPImacrostrat-map-integration—直接
PyPImacrostrat-map-integration2.0.0直接
PyPImacrostrat-map-topology0.1.0直接
PyPImacrostrat-map-utils0.0.1直接
PyPImacrostrat-match-utils—直接
PyPImacrostrat-match-utils0.1.0直接
PyPImacrostrat-radosgw-admin0.9.0直接
PyPImacrostrat-raster-index0.3.1直接
PyPImacrostrat-raster-layers0.3.2直接
PyPImacrostrat-schema-management—直接
PyPImacrostrat-schema-management1.1.0直接
PyPImacrostrat-tileserver-utils0.1.0直接
PyPImacrostrat-usage-stats0.1.0直接
PyPImacrostrat-usage-stats-capture0.1.0直接
PyPImacrostrat-utils—直接
PyPImacrostrat-utils1.2.1直接
PyPImacrostrat-utils1.3.1直接
PyPImacrostrat-utils1.3.2直接
PyPImacrostrat-utils1.3.3直接
PyPImacrostrat-worker0.0.1直接
PyPImapboard-topology-manager4.0.0直接
PyPImapboard-topology-manager5.0.0直接
PyPImapbox-vector-tile2.2.0直接
PyPImatplotlib3.11.0直接
PyPImatplotlib3.11.1直接
PyPIminio—直接
PyPIminio7.2.18直接
PyPIminio7.2.20直接
PyPIminio7.2.7直接
PyPImorecantile—直接
PyPImorecantile6.2.0直接
PyPImorecantile7.0.2直接
PyPImorecantile7.0.3直接
PyPInumpy1.26.4直接
PyPInumpy2.3.2直接
PyPInumpy2.4.3直接
PyPInumpy2.4.4直接
PyPInumpy2.4.5直接
PyPInumpy2.4.6直接
PyPInumpy2.5.0直接
PyPInumpy2.5.1直接
PyPInumpy2.5.2直接
PyPIopenpyxl3.1.5直接
PyPIorjson3.11.9直接
PyPIpandas—直接
PyPIpandas2.2.2直接
PyPIpandas2.3.3直接
PyPIpandas3.0.3直接
PyPIparamiko3.5.1直接
PyPIpg-activity3.6.2直接
PyPIpolars1.38.1直接
PyPIpolars1.42.0直接
PyPIpolars1.42.1直接
PyPIpolars1.43.2直接
PyPIpsycopg—直接
PyPIpsycopg3.3.2直接
PyPIpsycopg3.3.3直接
PyPIpsycopg3.3.4直接
PyPIpydantic—直接
PyPIpydantic2.11.7直接
PyPIpydantic2.12.4直接
PyPIpydantic2.12.5直接
PyPIpydantic2.13.4直接
PyPIpydantic2.7.1直接
PyPIpydantic2.8.2直接
PyPIpydantic-settings2.12.0直接
PyPIpydantic-settings2.14.2直接
PyPIpydantic-settings2.15.0直接
PyPIpyjwt2.10.1直接
PyPIpyjwt2.13.0直接
PyPIpylibmagic0.5.0直接
PyPIpymysql1.1.0直接
PyPIpymysql1.1.1直接
PyPIpymysql1.1.2直接
PyPIpymysql1.2.0直接
PyPIpyogrio0.11.1直接
PyPIpyogrio0.12.1直接
PyPIpyogrio0.7.2直接
PyPIpyproj3.6.1直接
PyPIpyproj3.7.2直接
PyPIpytest—直接
PyPIpytest8.4.2直接
PyPIpytest-asyncio1.3.0直接
PyPIpytest-asyncio1.4.0直接
PyPIpython-dotenv—直接
PyPIpython-dotenv1.0.1直接
PyPIpython-dotenv1.1.1直接
PyPIpython-dotenv1.2.1直接
PyPIpython-dotenv1.2.2直接
PyPIpython-jose3.5.0直接
PyPIpython-magic0.4.27直接
PyPIpython-multipart0.0.20直接
PyPIpython-multipart0.0.9直接
PyPIpython-slugify8.0.4直接
PyPIpyyaml6.0.1直接
PyPIpyyaml6.0.2直接
PyPIpyyaml6.0.3直接
PyPIrequests—直接
PyPIrequests2.31.0直接
PyPIrequests2.32.5直接
PyPIrequests2.33.0直接
PyPIrequests2.34.2直接
PyPIresults1.4.0直接
PyPIresults1.4.1772627293直接
PyPIrich13.7.1直接
PyPIrich13.9.4直接
PyPIrich15.0.0直接
PyPIrio-cogeo—直接
PyPIscipy1.13.0直接
PyPIscipy1.17.1直接
PyPIscipy1.18.0直接
PyPIsetuptools75.9.1直接
PyPIsetuptools78.1.1直接
PyPIsetuptools80.10.2直接
PyPIsetuptools80.9.0直接
PyPIshapely2.0.4直接
PyPIshapely2.1.1直接
PyPIshapely2.1.2直接
PyPIspectra0.0.11直接
PyPIsqlalchemy—直接
PyPIsqlalchemy2.0.30直接
PyPIsqlalchemy2.0.34直接
PyPIsqlalchemy2.0.43直接
PyPIsqlalchemy2.0.44直接
PyPIsqlalchemy2.0.45直接
PyPIsqlalchemy2.0.48直接
PyPIsqlalchemy2.0.51直接
PyPIsqlalchemy2.0.52直接
PyPIsqlalchemy2.0.7直接
PyPIsqlparse0.4.4直接
PyPIsqlparse0.5.3直接
PyPIsqlparse0.5.5直接
PyPIstarlette—直接
PyPIstarlette0.37.2直接
PyPIstarlette0.50.0直接
PyPIstarlette-cramjam0.4.0直接
PyPItestcontainers4.14.2直接
PyPItestcontainers4.15.0直接
PyPItiletanic1.1.0直接
PyPItitiler-core1.2.1直接
PyPItoml—直接
PyPItoml0.10.2直接
PyPItqdm4.66.4直接
PyPItqdm4.67.1直接
PyPItqdm4.68.4直接
PyPItruststore0.10.4直接
PyPItyper—直接
PyPItyper0.12.5直接
PyPItyper0.23.1直接
PyPItyper0.25.1直接
PyPItyper0.26.8直接
PyPItyper0.9.4直接
PyPIuvicorn0.16.0直接
PyPIuvicorn0.23.2直接
PyPIuvicorn0.34.3直接
PyPIuvicorn0.45.0直接
PyPIwerkzeug3.1.3直接
PyPIwerkzeug3.1.8直接
PyPIwget—直接
PyPIxlsxwriter3.2.9直接
PyPIzstandard0.25.0直接
npm@turf/random^4.2.0间接
npm@turf/sample^4.2.0间接
npm@turf/within^4.2.0间接
npmasync^1.4.2间接
npmasync^2.5.0间接
npmcarto^0.15.2间接
npmexpress^4.14.0间接
npmfs-extra^0.26.6间接
npmgeojson-bounds^1.0.0间接
npmgoogle-translate-api^2.3.0间接
npminquirer^0.12.0间接
npminquirer^1.1.2间接
npmmapnik^3.5.0间接
npmmapnik^3.5.14间接
npmminimist^1.2.0间接
npmmkdirp^0.5.1间接
npmpg^4.4.2间接
npmpg^6.0.2间接
npmportscanner^1.0.0间接
npmprogress^1.1.8间接
npmredis^2.5.3间接
npmrequest^2.69.0间接
npmtile-cover^3.0.1间接
npmtilestrata^2.0.1间接
npmtilestrata^2.0.2间接
npmtilestrata-etag^0.1.1间接
npmtilestrata-mapnik^0.4.1间接
npmtilestrata-vtile^0.5.3间接
npmyamljs^0.2.8间接
PyPIaddict2.4.0间接
PyPIaffine2.4.0间接
PyPIaiofiles23.2.1间接
PyPIaiofiles25.1.0间接
PyPIaiohappyeyeballs2.6.1间接
PyPIaiohappyeyeballs2.7.1间接
PyPIaiosignal1.4.0间接
PyPIamqp5.3.1间接
PyPIannotated-doc0.0.4间接
PyPIannotated-types0.6.0间接
PyPIannotated-types0.7.0间接
PyPIannotated-types0.8.0间接
PyPIansicon1.89.0间接
PyPIanyio3.7.1间接
PyPIanyio4.10.0间接
PyPIanyio4.11.0间接
PyPIanyio4.12.0间接
PyPIanyio4.13.0间接
PyPIanyio4.14.1间接
PyPIargon2-cffi23.1.0间接
PyPIargon2-cffi25.1.0间接
PyPIargon2-cffi-bindings21.2.0间接
PyPIargon2-cffi-bindings25.1.0间接
PyPIasgiref3.9.1间接
PyPIastroid3.0.3间接
PyPIastroid3.1.0间接
PyPIastroid3.3.11间接
PyPIasttokens2.4.1间接
PyPIasttokens3.0.0间接
PyPIasttokens3.0.1间接
PyPIasync-timeout5.0.1间接
PyPIattrs23.2.0间接
PyPIattrs25.3.0间接
PyPIattrs25.4.0间接
PyPIattrs26.1.0间接
PyPIbandit1.7.10间接
PyPIbandit1.8.6间接
PyPIbilliard4.2.4间接
PyPIblack24.10.0间接
PyPIblack24.4.2间接
PyPIblack24.8.0间接
PyPIblessed1.44.0间接
PyPIblessed1.47.0间接
PyPIboto2.49.0间接
PyPIbotocore1.43.65间接
PyPIcachetools6.2.0间接
PyPIcachetools7.1.7间接
PyPIcertifi2024.2.2间接
PyPIcertifi2025.11.12间接
PyPIcertifi2025.8.3间接
PyPIcertifi2026.2.25间接
PyPIcertifi2026.6.17间接
PyPIcertifi2026.7.22间接
PyPIcffi1.16.0间接
PyPIcffi2.0.0间接
PyPIcffi2.1.0间接
PyPIcffi2.1.1间接
PyPIcfgv3.4.0间接
PyPIcharset-normalizer3.3.2间接
PyPIcharset-normalizer3.4.4间接
PyPIcharset-normalizer3.4.6间接
PyPIcharset-normalizer3.4.9间接
PyPIclick-didyoumean0.3.1间接
PyPIclick-plugins1.1.1间接
PyPIclick-plugins1.1.1.2间接
PyPIclick-repl0.3.0间接
PyPIcligj0.7.2间接
PyPIcolor-operations0.2.0间接
PyPIcolorama0.4.6间接
PyPIcolorlog6.10.1间接
PyPIcolorlog6.12.0间接
PyPIcolorlog6.8.2间接
PyPIcolorlog6.9.0间接
PyPIcolormath3.0.0间接
PyPIcontourpy1.3.3间接
PyPIcramjam2.9.1间接
PyPIcriticalmaas-ta1-geopackage0.2.1间接
PyPIcryptography46.0.3间接
PyPIcryptography49.0.0间接
PyPIcycler0.12.1间接
PyPIdecorator5.1.1间接
PyPIdecorator5.2.1间接
PyPIdecorator5.3.1间接
PyPIdill0.4.0间接
PyPIdistlib0.4.0间接
PyPIdnspython2.7.0间接
PyPIdocutils0.21.2间接
PyPIdparse0.6.4间接
PyPIecdsa0.19.1间接
PyPIecdsa0.19.2间接
PyPIemail-validator2.3.0间接
PyPIet-xmlfile2.0.0间接
PyPIexceptiongroup1.3.0间接
PyPIexecuting2.0.1间接
PyPIexecuting2.2.1间接
PyPIfastapi-cli0.0.7间接
PyPIfilelock3.20.0间接
PyPIfonttools4.63.0间接
PyPIfrozenlist1.8.0间接
PyPIgdal—间接
PyPIgdal3.12.0.post1间接
PyPIgdal3.12.1间接
PyPIgdal3.13.1间接
PyPIgeoalchemy20.14.7间接
PyPIgeoalchemy20.15.2间接
PyPIgeoalchemy20.20.0间接
PyPIgeojson3.1.0间接
PyPIgeojson3.2.0间接
PyPIgeojson3.3.0间接
PyPIgprof2dot2025.4.14间接
PyPIh110.16.0间接
PyPIhatchling—间接
PyPIhtpheno-radosgw-admin-client0.8.2间接
PyPIhttpcore1.0.9间接
PyPIhttptools0.3.0间接
PyPIhttptools0.6.4间接
PyPIhumanize4.11.0间接
PyPIidentify2.6.15间接
PyPIidna3.10间接
PyPIidna3.11间接
PyPIidna3.18间接
PyPIidna3.7间接
PyPIiniconfig2.1.0间接
PyPIiniconfig2.3.0间接
PyPIipython-pygments-lexers1.1.1间接
PyPIisort5.13.2间接
PyPIjedi0.19.1间接
PyPIjedi0.19.2间接
PyPIjedi0.20.0间接
PyPIjinja23.1.6间接
PyPIjinxed2.0.4间接
PyPIjinxed2.1.0间接
PyPIjmespath1.1.0间接
PyPIkiwisolver1.5.0间接
PyPIkombu5.6.2间接
PyPImacrostrat-map-staging0.0.1间接
PyPImacrostrat-package-tools—间接
PyPImacrostrat-system0.1.0间接
PyPImacrostrat-tileserver3.1.2间接
PyPImarkdown-it-py3.0.0间接
PyPImarkdown-it-py4.0.0间接
PyPImarkdown-it-py4.2.0间接
PyPImarkupsafe3.0.2间接
PyPImarkupsafe3.0.3间接
PyPImatplotlib-inline0.1.7间接
PyPImatplotlib-inline0.2.1间接
PyPImatplotlib-inline0.2.2间接
PyPImccabe0.7.0间接
PyPImdurl0.1.2间接
PyPImigra3.0.1663481299间接
PyPImultidict6.7.0间接
PyPImultidict6.7.1间接
PyPImypy1.10.1间接
PyPImypy1.18.2间接
PyPImypy1.6.1间接
PyPImypy-extensions1.0.0间接
PyPImypy-extensions1.1.0间接
PyPInetworkx3.3间接
PyPInetworkx3.6.1间接
PyPInodeenv1.9.1间接
PyPInumexpr2.11.0间接
PyPInumexpr2.14.2间接
PyPIpackaging21.3间接
PyPIpackaging24.0间接
PyPIpackaging24.1间接
PyPIpackaging24.2间接
PyPIpackaging25.0间接
PyPIpackaging26.3间接
PyPIparso0.8.4间接
PyPIparso0.8.5间接
PyPIparso0.8.7间接
PyPIpathspec0.12.1间接
PyPIpathspec1.1.1间接
PyPIpexpect4.9.0间接
PyPIpillow12.2.0间接
PyPIpillow12.3.0间接
PyPIplatformdirs4.11.3间接
PyPIplatformdirs4.2.2间接
PyPIplatformdirs4.4.0间接
PyPIplatformdirs4.5.0间接
PyPIpluggy1.6.0间接
PyPIpolars-runtime-321.38.1间接
PyPIpolars-runtime-321.42.0间接
PyPIpolars-runtime-321.42.1间接
PyPIpolars-runtime-321.43.2间接
PyPIportforward0.6.1间接
PyPIpre-commit3.7.1间接
PyPIprompt-toolkit3.0.43间接
PyPIprompt-toolkit3.0.52间接
PyPIpropcache0.4.1间接
PyPIpropcache0.5.2间接
PyPIprotobuf6.32.0间接
PyPIpsutil7.2.2间接
PyPIpsycopg-binary3.3.2间接
PyPIpsycopg-binary3.3.4间接
PyPIpsycopg-pool3.3.0间接
PyPIpsycopg-pool3.3.1间接
PyPIpsycopg22.9.12间接
PyPIpsycopg22.9.9间接
PyPIpsycopg2-binary2.9.11间接
PyPIpsycopg2-binary2.9.9间接
PyPIptyprocess0.7.0间接
PyPIpure-eval0.2.2间接
PyPIpure-eval0.2.3间接
PyPIpyasn10.6.1间接
PyPIpyasn10.6.4间接
PyPIpyclipper1.3.0.post6间接
PyPIpycparser2.22间接
PyPIpycparser2.23间接
PyPIpycparser3.0间接
PyPIpycryptodome3.20.0间接
PyPIpycryptodome3.23.0间接
PyPIpydantic-core2.18.2间接
PyPIpydantic-core2.20.1间接
PyPIpydantic-core2.33.2间接
PyPIpydantic-core2.41.5间接
PyPIpydantic-core2.46.4间接
PyPIpygeos0.14间接
PyPIpygments2.18.0间接
PyPIpygments2.19.2间接
PyPIpygments2.20.0间接
PyPIpylint3.0.4间接
PyPIpylint3.1.1间接
PyPIpylint3.3.9间接
PyPIpynacl1.6.1间接
PyPIpynacl1.6.2间接
PyPIpyparsing3.2.3间接
PyPIpyparsing3.2.5间接
PyPIpyparsing3.3.2间接
PyPIpystac1.13.0间接
PyPIpystac1.15.2间接
PyPIpystac-core1.15.2间接
PyPIpystac-ext-classification2.0.0间接
PyPIpystac-ext-datacube2.2.0间接
PyPIpystac-ext-eo1.1.0间接
PyPIpystac-ext-file2.1.0间接
PyPIpystac-ext-grid1.1.0间接
PyPIpystac-ext-item-assets1.0.0间接
PyPIpystac-ext-label1.0.1间接
PyPIpystac-ext-mgrs1.0.0间接
PyPIpystac-ext-mlm1.4.0间接
PyPIpystac-ext-pointcloud1.0.0间接
PyPIpystac-ext-projection2.0.0间接
PyPIpystac-ext-raster1.1.0间接
PyPIpystac-ext-render2.0.0间接
PyPIpystac-ext-sar1.0.0间接
PyPIpystac-ext-sat1.0.0间接
PyPIpystac-ext-scientific1.0.0间接
PyPIpystac-ext-storage2.0.0间接
PyPIpystac-ext-table1.2.0间接
PyPIpystac-ext-timestamps1.1.0间接
PyPIpystac-ext-version1.2.0间接
PyPIpystac-ext-view1.0.0间接
PyPIpystac-ext-xarray-assets1.0.0间接
PyPIpytest-profiling1.8.1间接
PyPIpython-dateutil2.9.0.post0间接
PyPIpytz2024.1间接
PyPIpytz2025.2间接
PyPIpywin32306间接
PyPIpywin32311间接
PyPIpywin32312间接
PyPIradosgw-admin1.7.2间接
PyPIrasterio1.4.3间接
PyPIrasterio1.5.0间接
PyPIredis6.4.0间接
PyPIrequests-aws4auth1.3.2间接
PyPIrgwadmin2.4.6间接
PyPIrich-toolkit0.15.1间接
PyPIrio-tiler8.0.9间接
PyPIrsa4.9.1间接
PyPIruamel-yaml0.18.16间接
PyPIruamel-yaml-clib0.2.15间接
PyPIruff0.16.4间接
PyPIs3transfer0.19.2间接
PyPIsafety2.3.5间接
PyPIschemainspect3.1.1663587362间接
PyPIshellingham1.5.4间接
PyPIsimplejson3.20.1间接
PyPIsimplejson4.1.1间接
PyPIsix1.16.0间接
PyPIsix1.17.0间接
PyPIsnakeviz—间接
PyPIsnakeviz2.2.2间接
PyPIsniffio1.3.1间接
PyPIsoupsieve2.5间接
PyPIsqlalchemy-utils0.41.2间接
PyPIsqlalchemy-utils0.42.1间接
PyPIsqlbag0.1.1617247075间接
PyPIstack-data0.6.3间接
PyPIstevedore5.5.0间接
PyPIstevedore5.6.0间接
PyPItext-unidecode1.3间接
PyPItileserver-stats0.1.0间接
PyPItitiler-mosaic1.2.1间接
PyPItomli2.2.1间接
PyPItomlkit0.13.3间接
PyPItoposort1.10间接
PyPItornado6.5.4间接
PyPItraitlets5.14.3间接
PyPItraitlets5.15.1间接
PyPItypes-beautifulsoup44.12.0.20250516间接
PyPItypes-html5lib1.1.11.20251014间接
PyPItypes-requests2.31.0.20240406间接
PyPItyping-extensions4.11.0间接
PyPItyping-extensions4.12.2间接
PyPItyping-extensions4.15.0间接
PyPItyping-extensions4.16.0间接
PyPItyping-inspection0.4.1间接
PyPItyping-inspection0.4.2间接
PyPItyping-inspection0.4.4间接
PyPItzdata2024.1间接
PyPItzdata2025.2间接
PyPItzdata2025.3间接
PyPItzdata2026.2间接
PyPItzdata2026.3间接
PyPItzlocal5.4.4间接
PyPIurllib32.2.1间接
PyPIurllib32.5.0间接
PyPIurllib32.6.2间接
PyPIurllib32.6.3间接
PyPIurllib32.7.0间接
PyPIusage-stats0.1.0间接
PyPIusage-stats-service0.1.0间接
PyPIuvloop0.21.0间接
PyPIvine5.1.0间接
PyPIvirtualenv20.35.4间接
PyPIwatchfiles1.1.0间接
PyPIwatchgod0.8.2间接
PyPIwcwidth0.2.13间接
PyPIwcwidth0.2.14间接
PyPIwcwidth0.8.1间接
PyPIwcwidth0.8.2间接
PyPIwebsocket-client1.8.0间接
PyPIwebsockets15.0.1间接
PyPIwrapt2.1.2间接
PyPIwrapt2.2.2间接
PyPIwrapt2.3.0间接
PyPIyarl1.22.0间接
PyPIyarl1.24.2间接
依赖安全公告 67

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 547 个包，其中也包含从不交付的开发与测试版本固定：67 个存在已知公告，34 个为直接依赖。 有 65 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
aiohttp3.13.2直接严重643.14.3
fiona1.9.6直接严重21.10b2
pymysql1.1.0直接严重21.1.1
anyio3.7.1间接严重24.14.2
anyio4.10.0间接严重24.14.2
anyio4.11.0间接严重24.14.2
anyio4.12.0间接严重24.14.2
anyio4.13.0间接严重24.14.2
anyio4.14.1间接严重34.14.2
black24.10.0间接严重326.3.1
black24.4.2间接严重326.3.1
black24.8.0间接严重326.3.1
cryptography46.0.3间接严重1350.0.0
pillow12.2.0间接严重2612.3.0
click8.1.7直接高18.3.3
click8.1.8直接高18.3.3
click8.2.1直接高18.3.3
click8.3.0直接高18.3.3
click8.3.1直接高18.3.3
dynaconf3.2.12直接高23.2.13
dynaconf3.2.5直接高23.2.13
geopandas0.14.4直接高21.1.2
geopandas1.1.1直接高21.1.2
pyjwt2.10.1直接高132.13.0
python-multipart0.0.20直接高140.0.31
python-multipart0.0.9直接高160.0.31
setuptools75.9.1直接高483.0.0
sqlparse0.4.4直接高130.6.0
sqlparse0.5.3直接高110.6.0
sqlparse0.5.5直接高100.6.0
starlette0.37.2直接高141.3.1
starlette0.50.0直接高101.3.1
certifi2024.2.2间接高22024.7.4
ecdsa0.19.1间接高40.19.2
ecdsa0.19.2间接高2—
gdal3.12.0.post1间接高103.13.0RC1
gdal3.12.1间接高103.13.0RC1
protobuf6.32.0间接高26.33.5
pyasn10.6.1间接高100.6.4
soupsieve2.5间接高62.9.0
tornado6.5.4间接高156.5.8
urllib32.2.1间接高142.7.0
urllib32.5.0间接高82.7.0
urllib32.6.2间接高62.7.0
urllib32.6.3间接高42.7.0
aiohttp3.14.1直接中63.14.3
pydantic-settings2.12.0直接中12.14.2
pytest8.4.2直接中29.0.3
python-dotenv1.0.1直接中21.2.2
python-dotenv1.1.1直接中21.2.2
python-dotenv1.2.1直接中21.2.2
requests2.31.0直接中62.33.0
requests2.32.5直接中22.33.0
setuptools78.1.1直接中283.0.0
setuptools80.10.2直接中283.0.0
setuptools80.9.0直接中283.0.0
werkzeug3.1.3直接中63.1.6
cryptography49.0.0间接中250.0.0
filelock3.20.0间接中43.20.3
idna3.10间接中23.15
idna3.11间接中23.15
idna3.7间接中23.15
pynacl1.6.1间接中23.6.1
virtualenv20.35.4间接中220.36.1
paramiko3.5.1直接低2—
pygments2.18.0间接低22.20.0
pygments2.19.2间接低22.20.0

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

反馈

发现这份报告有不准确之处，或有想法要分享？错误的测量、未识别的工具、建议、疑问——都欢迎提出。每条消息都会被阅读并得到回复。

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相关记录

与 UW-Macrostrat/macrostrat 共享目录标签或生态系统的已检测仓库。 并排阅读 →

100apache/arrowApache Arrow is the universal columnar format and multi-language toolbox for fast data interchange and in-memory analytics卓越100scikit-learn/scikit-learnscikit-learn: machine learning in Python卓越100deepset-ai/haystackOpen-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.卓越100aws/serverless-application-modelThe AWS Serverless Application Model (AWS SAM) transform is a AWS CloudFormation macro that transforms SAM templates into CloudFormation templates.卓越100envoyproxy/envoyCloud-native high-performance edge/middle/service proxy卓越100uxlfoundation/oneDNNoneAPI Deep Neural Network Library (oneDNN)卓越

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 v2.10.0、模式 v0.34.0—— 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.