公开记录
软件健康报告模式 0.34.0 · 指标 2.10.0 · 2026-09-18 09:37 UTC

flyingriverhorse / Skyulf

Stop trusting your pipeline. Verify it; visually on a canvas or in Python. Self-hosted platform + library.

Python · Jupyter Notebook · TypeScriptAGPL-3.0★ 47 星标⑂ 7 复刻始于 2025年11月在 GitHub 上查看 ↗
类型网络服务如何判定

flyingriverhorse/Skyulf 的健康指数为 100 分中的 93 分,处于「卓越」区间。 其得分最高的类别是Security(100/100),最低的是Sustainability & Governance(54/100)。 最近一次更新在 3 天前。 近期的大部分工作由 1 位贡献者完成。

93
总分 / 100
卓越

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。

93
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 79 经校准后在公布的指数量表上为 93(记录校准 2026-08-02)。

所有权

Murat个人账户
7 关注者46 个公开仓库始于 2019年12月

该仓库由个人账户拥有。相较于组织支持的项目,单一所有者项目的延续性风险更高。

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
PyPIskyulf-core0.8.233,236564 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?

93卓越 · 占总体的 21%
评分方式
36/36推送新近度最近一次推送于 3 天前
26.3/36提交节奏52 周中有 38 周有提交
18/18提交量最近一年 1,476 次提交
0/10OpenSSF Scorecard:Maintained无数据
所用输入
commits_last_year1,476
human_commit_share1
days_since_last_push3
active_weeks_last_year38

发布纪律

100卓越
评分方式
27/27有发布版本已发布 86 个发布版本
36/36发布时效最近一次发布版本于 4 天前
27/27发布节奏约每 0.9 天发布一次
0/10OpenSSF Scorecard:Signed-Releases无数据
所用输入
releases_count86
latest_release_tagv0.8.23
releases_from_tags
days_since_latest_release4
mean_days_between_releases0.9

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?

60中等 · 占总体的 17%

流行度与采用

34存在风险
评分方式
27/60星标47 个星标
6.5/25复刻7 个复刻
0/15关注者1 位关注者
所用输入
forks7
stars47
watchers1
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(AGPL-3.0)
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
readme_badges15
has_contributing
has_issue_template
has_code_of_conduct
readme_badge_servicesapp.codacy.com, codecov.io, github.com, shields.io
has_pull_request_template
评分方式
46.8/80月度下载量pypi 合计每月 3,236 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
packagesskyulf-core
dependents
ecosystemspypi
total_downloads
monthly_downloads3,236
unverified_packages_excluded
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?

54中等 · 占总体的 23%
评分方式
9/54巴士系数1 位贡献者贡献了半数提交
0/22.5提交分布头号贡献者编写了 100% 的提交
2.7/13.5贡献者广度2 位贡献者
0/10OpenSSF Scorecard:Contributors无数据
所用输入
bus_factor1
contributors_sampled2
top_contributor_share0.999
评分方式
36/42议题解决86% 的议题已关闭
13.5/30PR 接受已裁定的 PR 中 69/153 已合并
0/13Newcomer PR acceptance30 天内没有首次贡献者的 PR 得到裁决
0/15OpenSSF Scorecard:Code-Review无数据
所用输入
merged_prs69
open_issues1
closed_issues6
prs_merged_7d4
prs_decided_7d4
prs_merged_30d25
prs_decided_30d25
issue_closed_ratio0.857
closed_unmerged_prs84
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。
评分方式
10/30所有权背书个人(用户)账户
0/20已验证域名不适用于个人账户
6.5/25所有者影响力flyingriverhorse 有 7 位关注者
24.2/25既往记录46 个公开仓库,账户约 6 年
所用输入
followers7
owner_typeUser
is_verified
owner_loginflyingriverhorse
public_repos46
account_age_days2,470
已排除计分(无数据或不适用):已验证域名。 其余权重已重新归一化。
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 4 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
packagesskyulf-core
ecosystemspypi
any_deprecated
min_days_since_publish4

工程质量

基础的工程与文档实践是否到位?

96卓越 · 占总体的 19%

工程实践

100卓越
评分方式
24/24CI 工作流13 个工作流
24/24存在测试
16/16Linter 配置.eslintrc.cjs, pyproject.toml ([tool.ruff])
9.6/9.6Pre-commit 钩子
6.4/6.4.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

90优秀
评分方式
30/30README
25/25文档目录
15/15文档 / 主页站点https://www.skyulf.com/
10/10仓库描述
10/10主题标签14 个主题标签
0/10Wiki
所用输入
topicsdata-orchestration, docker-compose, experiment-tracking, feature-engineering-python, low-code, ml-pipeline, ml-platform-workflow, mlops-workflow, model-deployment, model-registry, react, deep-learning, machine-learning, mlops
has_wiki
homepagehttps://www.skyulf.com/
docs_sitehttps://www.skyulf.com/
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?

100卓越 · 占总体的 16%

安全态势

100卓越
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
lockfilespackage-lock.json, uv.lock
manifestspackage.json, pyproject.toml, requirements-ci.txt, requirements-dev.txt, requirements-docs.txt, requirements-geo.txt, requirements-nlp.txt, requirements.txt, skyulf-core/pyproject.toml, skyulf-core/setup.py
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
25/25间接依赖不含已知公告没有间接依赖携带已知公告
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_packages26
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
已排除计分(无数据或不适用):没有长期未处理的公告。 其余权重已重新归一化。 比对的是 pypi:skyulf-core@0.8.23 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 26 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?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。

70良好 · 占总体的 4%
评分方式
45/45代理指令AGENTS.md
0/15机器可读文档(llms.txt)
40/40可读的提交历史100 次人类提交中有 80 次说明了意图(结构化标题或解释性正文)
所用输入
has_llms_txt
llms_txt_url
legible_history_share0.8
agent_instruction_filesAGENTS.md
agent_instruction_max_bytes8,653
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.eslintrc.cjs, pyproject.toml ([tool.ruff])
11/11静态类型检查frontend/ml-canvas/tsconfig.json, skyulf-core/skyulf/py.typed
10/10可复现环境Dockerfile, lockfile
0/10已体现的代理实践最近 100 次提交中没有代理编写的提交
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
lockfilespackage-lock.json, uv.lock
has_dockerfile
typed_language
bootstrap_files
has_devcontainer
has_linter_config
typecheck_configsfrontend/ml-canvas/tsconfig.json, skyulf-core/skyulf/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
评分方式
27/45可类型检查的代码Python,已配置类型检查(frontend/ml-canvas/tsconfig.json, skyulf-core/skyulf/py.typed)
54.4/55可控的文件大小采样的 1,733 个源文件中有 20 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes1,686,942
source_files_sampled1,733
oversized_source_files20
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
interfaces_expected_ofnetwork-service

关键数据

47GitHub 星标
2贡献者
1,476最近 12 个月提交数
3距最近推送天数
86发布版本数
1巴士系数(bus factor)
1开放议题
npm, 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 'skyulf' from its registry
  • OpenSSF Scorecard timed out after 240s; skipping Scorecard checks

更多细节

Star 与 Fork 历史 0 ★ / 7 ⇿
0Star
7Fork
40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。

1234567712025-112026-022026-05
主版本 0次版本 5修订 35
直接依赖 46
注册表软件包版本约束清单文件
PyPIaiofiles>=24.1.0pyproject.toml
PyPIaiohttp>=3.13.4,<4.0.0pyproject.toml
PyPIaiosqlite>=0.19.0,<1.0.0pyproject.toml
PyPIasyncpg>=0.29.0,<1.0.0pyproject.toml
PyPIcelery>=5.4.0,<6.0.0pyproject.toml
PyPIfastapi>=0.104.0,<1.0.0pyproject.toml
PyPIhttpx>=0.25.0,<1.0.0pyproject.toml
PyPInumpy>=1.24.0pyproject.toml
PyPIorjson>=3.9.0pyproject.toml
PyPIpandas>=2.0.0,<3.0.0pyproject.toml
PyPIpolars>=1.43.2pyproject.toml
PyPIpyarrow>=23.0.1pyproject.toml
PyPIpydantic>=2.4.0,<3.0.0pyproject.toml
PyPIpydantic-settings>=2.0.0,<3.0.0pyproject.toml
PyPIpython-dotenv>=1.2.2,<2.0.0pyproject.toml
PyPIpython-multipart>=0.0.27pyproject.toml
PyPIredis>=5.0.0,<6.0.0pyproject.toml
PyPIscikit-learn>=1.8.0,<2.0.0pyproject.toml
PyPIjoblib>=1.3.0pyproject.toml
PyPIimbalanced-learn>=0.14.1,<1.0.0pyproject.toml
PyPIscipy>=1.10.0,<2.0.0pyproject.toml
PyPIstatsmodels>=0.14.0,<1.0.0pyproject.toml
PyPIsqlalchemy>=2.0.0,<3.0.0pyproject.toml
PyPIuvicorn>=0.24.0,<1.0.0pyproject.toml
PyPIxgboost>=2.1.4pyproject.toml
PyPIlightgbm>=4.0.0pyproject.toml
PyPIshap>=0.46.0,<1.0.0pyproject.toml
PyPIoptuna>=4.0,<5pyproject.toml
PyPIoptuna-integration>=4.0,<5pyproject.toml
PyPIskyulf-core>=0.5.0pyproject.toml
PyPIrich>=13.0.0pyproject.toml
PyPItqdm>=4.67.1pyproject.toml
PyPIcmaes>=0.10pyproject.toml
PyPIcausal-learn>=0.1.3.0pyproject.toml
PyPIboto3>=1.34.0pyproject.toml
PyPIs3fs>=2023.12.0pyproject.toml
PyPIpatsy>=0.5.0,<1.0.0pyproject.toml
PyPIslowapi>=0.1.9pyproject.toml
PyPIsentry-sdk>=2.0.0pyproject.toml
PyPIxlsx2csv>=0.8.0pyproject.toml
PyPIopenpyxl>=3.1.0pyproject.toml
PyPIrapidfuzz>=3.6.1,<4.0.0pyproject.toml
PyPIvadersentiment>=3.3.2,<4.0.0pyproject.toml
PyPIty>=0.0.55pyproject.toml
PyPIsentence-transformers>=2.2.0pyproject.toml
PyPIpre-commit>=4.3.0pyproject.toml
全部依赖 1,462

来自 GitHub 依赖图的完整解析依赖集合:105 个直接依赖与 1,357 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
PyPIaiofiles直接
PyPIaiofiles24.1.0直接
PyPIaiohttp直接
PyPIaiohttp3.14.3直接
PyPIaiosqlite直接
PyPIaiosqlite0.21.0直接
PyPIasyncpg直接
PyPIasyncpg0.30.0直接
PyPIboto3直接
PyPIboto31.43.0直接
PyPIcausal-learn直接
PyPIcausal-learn0.1.4.5直接
PyPIcelery直接
PyPIcelery5.5.3直接
PyPIcmaes直接
PyPIcmaes0.13.0直接
PyPIfastapi直接
PyPIfastapi0.138.2直接
PyPIhttpx直接
PyPIhttpx0.28.1直接
PyPIimbalanced-learn直接
PyPIimbalanced-learn0.12.4直接
PyPIimbalanced-learn0.14.0直接
PyPIimbalanced-learn0.14.1直接
PyPIjoblib直接
PyPIjoblib1.5.2直接
PyPIjoblib1.5.3直接
PyPIlightgbm直接
PyPIlightgbm4.6.0直接
PyPInumpy直接
PyPInumpy1.26.4直接
PyPInumpy2.0.2直接
PyPInumpy2.2.6直接
PyPInumpy2.3.5直接
PyPIopenpyxl直接
PyPIopenpyxl3.1.5直接
PyPIoptuna直接
PyPIoptuna4.5.0直接
PyPIoptuna4.6.0直接
PyPIoptuna-integration直接
PyPIoptuna-integration4.5.0直接
PyPIoptuna-integration4.6.0直接
PyPIorjson直接
PyPIorjson3.11.9直接
PyPIpandas直接
PyPIpandas2.3.2直接
PyPIpandas2.3.3直接
PyPIpatsy直接
PyPIpatsy0.5.6直接
PyPIpolars直接
PyPIpolars1.36.1直接
PyPIpolars1.44.1直接
PyPIpre-commit直接
PyPIpre-commit4.3.0直接
PyPIpyarrow直接
PyPIpyarrow24.0.0直接
PyPIpydantic直接
PyPIpydantic2.11.9直接
PyPIpydantic2.12.5直接
PyPIpydantic-settings直接
PyPIpydantic-settings2.10.1直接
PyPIpython-dotenv直接
PyPIpython-dotenv1.2.2直接
PyPIpython-multipart直接
PyPIpython-multipart0.0.32直接
PyPIrapidfuzz直接
PyPIrapidfuzz3.14.3直接
PyPIredis直接
PyPIredis5.2.1直接
PyPIrich直接
PyPIrich14.2.0直接
PyPIs3fs直接
PyPIs3fs2026.4.0直接
PyPIscikit-learn直接
PyPIscikit-learn1.6.1直接
PyPIscikit-learn1.7.2直接
PyPIscikit-learn1.8.0直接
PyPIscipy直接
PyPIscipy1.13.1直接
PyPIscipy1.15.3直接
PyPIscipy1.16.3直接
PyPIsentence-transformers直接
PyPIsentence-transformers5.5.1直接
PyPIsentry-sdk直接
PyPIsentry-sdk2.61.1直接
PyPIshap直接
PyPIshap0.49.1直接
PyPIslowapi直接
PyPIslowapi0.1.9直接
PyPIsqlalchemy直接
PyPIsqlalchemy2.0.43直接
PyPIsqlalchemy2.0.45直接
PyPIstatsmodels直接
PyPIstatsmodels0.14.6直接
PyPItqdm4.67.1直接
PyPIty直接
PyPIty0.0.75直接
PyPIuvicorn直接
PyPIuvicorn0.35.0直接
PyPIvadersentiment直接
PyPIvadersentiment3.3.2直接
PyPIxgboost直接
PyPIxgboost3.0.5直接
PyPIxlsx2csv直接
PyPIxlsx2csv0.8.6直接
npm@adobe/css-tools4.4.4间接
npm@alloc/quick-lru5.2.0间接
npm@antfu/install-pkg1.1.0间接
npm@asamuzakjp/css-color3.2.0间接
npm@axe-core/playwright4.11.2间接
npm@babel/code-frame7.29.7间接
npm@babel/compat-data7.29.7间接
npm@babel/core7.29.7间接
npm@babel/generator7.29.7间接
npm@babel/helper-compilation-targets7.29.7间接
npm@babel/helper-globals7.29.7间接
npm@babel/helper-module-imports7.29.7间接
npm@babel/helper-module-transforms7.29.7间接
npm@babel/helper-plugin-utils7.27.1间接
npm@babel/helper-string-parser7.29.7间接
npm@babel/helper-validator-identifier7.29.7间接
npm@babel/helper-validator-option7.29.7间接
npm@babel/helpers7.29.7间接
npm@babel/parser7.29.7间接
npm@babel/plugin-transform-react-jsx-self7.27.1间接
npm@babel/plugin-transform-react-jsx-source7.27.1间接
npm@babel/runtime7.29.2间接
npm@babel/template7.29.7间接
npm@babel/traverse7.29.7间接
npm@babel/types7.29.7间接
npm@bcoe/v8-coverage1.0.2间接
npm@braintree/sanitize-url7.1.2间接
npm@chevrotain/types11.1.2间接
npm@csstools/color-helpers5.1.0间接
npm@csstools/css-calc2.1.4间接
npm@csstools/css-color-parser3.1.0间接
npm@csstools/css-parser-algorithms3.0.5间接
npm@csstools/css-tokenizer3.0.4间接
npm@esbuild/aix-ppc640.25.12间接
npm@esbuild/android-arm0.25.12间接
npm@esbuild/android-arm640.25.12间接
npm@esbuild/android-x640.25.12间接
npm@esbuild/darwin-arm640.25.12间接
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PyPIdocutils0.22.3间接
PyPIdocutils0.23间接
PyPIecdsa0.19.2间接
PyPIemail-validator间接
PyPIesda间接
PyPIesda2.7.0间接
PyPIet-xmlfile2.0.0间接
PyPIexceptiongroup1.3.1间接
PyPIexecuting2.2.1间接
PyPIfactory-boy间接
PyPIfactory-boy3.3.3间接
PyPIfaker间接
PyPIfaker19.13.0间接
PyPIfastjsonschema2.21.2间接
PyPIfilelock3.29.4间接
PyPIfonttools4.63.0间接
PyPIfqdn1.5.1间接
PyPIfrozenlist1.7.0间接
PyPIfsspec2026.4.0间接
PyPIgeopandas间接
PyPIgeopandas1.1.3间接
PyPIgraphviz0.21间接
PyPIgreenlet3.2.4间接
PyPIgreenlet3.3.0间接
PyPIh110.16.0间接
PyPIh3间接
PyPIh34.5.0间接
PyPIhf-xet1.5.1间接
PyPIhttpcore1.0.9间接
PyPIhttptools0.6.4间接
PyPIhuggingface-hub1.16.1间接
PyPIhypothesis间接
PyPIhypothesis6.155.2间接
PyPIid1.5.0间接
PyPIid1.6.1间接
PyPIidentify2.6.15间接
PyPIidna3.18间接
PyPIimportlib-metadata8.7.0间接
PyPIiniconfig2.1.0间接
PyPIiniconfig2.3.0间接
PyPIipykernel7.1.0间接
PyPIipython间接
PyPIipython9.6.0间接
PyPIipython-pygments-lexers1.1.1间接
PyPIipywidgets8.1.8间接
PyPIisoduration20.11.0间接
PyPIjaraco-classes3.4.0间接
PyPIjaraco-context6.0.1间接
PyPIjaraco-context6.1.2间接
PyPIjaraco-functools4.3.0间接
PyPIjaraco-functools4.5.0间接
PyPIjedi0.19.2间接
PyPIjeepney0.9.0间接
PyPIjinja23.1.6间接
PyPIjmespath1.1.0间接
PyPIjson50.12.1间接
PyPIjsonpointer3.0.0间接
PyPIjsonschema4.25.1间接
PyPIjsonschema-specifications2025.9.1间接
PyPIjupyter间接
PyPIjupyter1.1.1间接
PyPIjupyter-builder1.0.2间接
PyPIjupyter-client8.6.3间接
PyPIjupyter-console6.6.3间接
PyPIjupyter-core5.9.1间接
PyPIjupyter-events0.12.0间接
PyPIjupyter-lsp2.3.0间接
PyPIjupyter-server2.20.0间接
PyPIjupyter-server-terminals0.5.3间接
PyPIjupyterlab4.6.2间接
PyPIjupyterlab-pygments0.3.0间接
PyPIjupyterlab-server2.28.0间接
PyPIjupyterlab-widgets3.0.16间接
PyPIkeyring25.7.0间接
PyPIkiwisolver1.4.9间接
PyPIkombu5.5.4间接
PyPIlangid1.1.6间接
PyPIlark1.3.1间接
PyPIlibpysal间接
PyPIlibpysal4.13.0间接
PyPIlimits5.8.0间接
PyPIlizard间接
PyPIlizard1.23.0间接
PyPIllvmlite0.48.0间接
PyPImako1.3.12间接
PyPImarkdown-it-py3.0.0间接
PyPImarkdown-it-py4.0.0间接
PyPImarkupsafe3.0.2间接
PyPImarkupsafe3.0.3间接
PyPImatplotlib间接
PyPImatplotlib3.10.0间接
PyPImatplotlib-inline0.2.1间接
PyPImdurl0.1.2间接
PyPImistune3.3.4间接
PyPImkdocs间接
PyPImkdocs-material间接
PyPImkdocstrings间接
PyPImomentchi20.1.8间接
PyPImore-itertools10.8.0间接
PyPImore-itertools11.1.0间接
PyPImoto间接
PyPImpmath1.3.0间接
PyPImultidict6.6.4间接
PyPInarwhals2.5.0间接
PyPInbclient0.10.2间接
PyPInbconvert7.17.1间接
PyPInbformat5.10.4间接
PyPInest-asyncio1.6.0间接
PyPInetworkx3.6间接
PyPInh30.3.2间接
PyPInh30.3.5间接
PyPInodeenv1.9.1间接
PyPInotebook7.6.0间接
PyPInotebook-shim0.2.4间接
PyPInumba0.66.0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-cu122.28.3间接
PyPInvidia-nccl-cu132.29.7间接
PyPInvidia-nvjitlink13.0.88间接
PyPInvidia-nvshmem-cu133.4.5间接
PyPInvidia-nvtx13.0.85间接
PyPIpackaging25.0间接
PyPIpandas-stubs间接
PyPIpandocfilters1.5.1间接
PyPIparso0.8.5间接
PyPIpasslib1.7.4间接
PyPIpathspec0.12.1间接
PyPIpexpect4.9.0间接
PyPIpillow12.3.0间接
PyPIplatformdirs4.4.0间接
PyPIplotly间接
PyPIplotly6.3.0间接
PyPIpluggy1.6.0间接
PyPIpolars-runtime-321.36.1间接
PyPIpolars-runtime-321.44.1间接
PyPIpre-commit-hooks间接
PyPIpre-commit-hooks6.0.0间接
PyPIprometheus-client0.23.1间接
PyPIprompt-toolkit3.0.52间接
PyPIpropcache0.3.2间接
PyPIpsutil5.9.8间接
PyPIpsycopg2-binary2.9.10间接
PyPIptyprocess0.7.0间接
PyPIpure-eval0.2.3间接
PyPIpy-cpuinfo9.0.0间接
PyPIpyasn10.6.4间接
PyPIpycparser2.23间接
PyPIpydantic-core2.33.2间接
PyPIpydantic-core2.41.5间接
PyPIpydot4.0.1间接
PyPIpygments2.20.0间接
PyPIpyogrio0.12.1间接
PyPIpyparsing3.2.4间接
PyPIpyproj间接
PyPIpyproj3.6.1间接
PyPIpyproject-hooks1.2.0间接
PyPIpyscan-rs间接
PyPIpyscan-rs2.1.3间接
PyPIpytest间接
PyPIpytest9.1.1间接
PyPIpytest-asyncio间接
PyPIpytest-asyncio1.4.0间接
PyPIpytest-benchmark间接
PyPIpytest-benchmark5.2.3间接
PyPIpytest-cov间接
PyPIpytest-cov4.1.0间接
PyPIpython-dateutil2.9.0.post0间接
PyPIpython-discovery1.5.1间接
PyPIpython-jose3.5.0间接
PyPIpython-json-logger4.0.0间接
PyPIpytz2025.2间接
PyPIpywin32-ctypes0.2.3间接
PyPIpywinpty3.0.2间接
PyPIpyyaml6.0.2间接
PyPIpyyaml6.0.3间接
PyPIpyzmq27.1.0间接
PyPIreadme-renderer44.0间接
PyPIreferencing0.37.0间接
PyPIregex2026.5.9间接
PyPIrequests2.34.2间接
PyPIrequests-toolbelt1.0.0间接
PyPIrfc3339-validator0.1.4间接
PyPIrfc39862.0.0间接
PyPIrfc3986-validator0.1.1间接
PyPIrfc3987-syntax1.1.0间接
PyPIrpds-py0.28.0间接
PyPIrsa4.9.1间接
PyPIrtree间接
PyPIrtree1.4.1间接
PyPIruamel-yaml0.19.1间接
PyPIruff间接
PyPIruff0.15.16间接
PyPIs3transfer0.17.1间接
PyPIsafetensors0.8.0间接
PyPIsafety间接
PyPIseaborn间接
PyPIseaborn0.13.2间接
PyPIsecretstorage3.3.3间接
PyPIsecretstorage3.5.0间接
PyPIsend2trash1.8.3间接
PyPIsetuptools间接
PyPIsetuptools83.0.0间接
PyPIshapely间接
PyPIshapely2.0.7间接
PyPIshellingham1.5.4间接
PyPIsix1.17.0间接
PyPIsklearn-compat0.1.5间接
PyPIskyulf0.8.23间接
PyPIslicer0.0.8间接
PyPIsniffio1.3.1间接
PyPIsortedcontainers2.4.0间接
PyPIsoupsieve2.9.2间接
PyPIstack-data0.6.3间接
PyPIstarlette1.3.1间接
PyPIsympy1.14.0间接
PyPIsyrupy间接
PyPIsyrupy5.3.1间接
PyPIterminado0.18.1间接
PyPIthreadpoolctl3.6.0间接
PyPItinycss21.4.0间接
PyPItokenizers0.22.2间接
PyPItomli2.3.0间接
PyPItorch2.13.0间接
PyPItornado6.5.8间接
PyPItraitlets5.14.3间接
PyPItransformers5.10.2间接
PyPItriton3.7.1间接
PyPItwine间接
PyPItwine6.2.0间接
PyPItyper0.26.7间接
PyPItypes-python-dateutil2.9.0.20250822间接
PyPItypes-pyyaml间接
PyPItypes-requests间接
PyPItypes-setuptools间接
PyPItyping-extensions4.15.0间接
PyPItyping-inspection0.4.2间接
PyPItzdata2025.2间接
PyPItzdata2025.3间接
PyPIuri-template1.3.0间接
PyPIurllib32.7.0间接
PyPIuvloop0.21.0间接
PyPIvine5.1.0间接
PyPIvirtualenv21.7.1间接
PyPIwatchfiles1.1.0间接
PyPIwcwidth0.2.13间接
PyPIwebcolors25.10.0间接
PyPIwebencodings0.5.1间接
PyPIwebsocket-client1.9.0间接
PyPIwebsockets15.0.1间接
PyPIwidgetsnbextension4.0.15间接
PyPIwrapt2.2.1间接
PyPIyarl1.20.1间接
PyPIzipp3.23.0间接
依赖安全公告 0

安装 pypi:skyulf-core@0.8.23 会引入 26 个包(直接与传递):其中 0 个存在已知公告,0 个为直接依赖。

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。

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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PyPI.