公开记录
软件健康报告模式 0.34.0 · 指标 2.10.0 · 2026-09-05 18:24 UTC

roboflow / inference

Turn any computer or edge device into a command center for your computer vision projects.

Python自定义许可证★ 2,438 星标⑂ 313 复刻始于 2023年7月在 GitHub 上查看 ↗
类型命令行工具网络服务如何判定

roboflow/inference 的健康指数为 100 分中的 92 分,处于「优秀」区间。 其得分最高的类别是Vitality(100/100),最低的是Security(40/100)。 最近一次更新在今天。 近期的大部分工作由 2 位贡献者完成。

92
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,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。

92
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 78 经校准后在公布的指数量表上为 92(记录校准 2026-08-02)。

所有权

Roboflow组织 · 域名已验证
5,315 关注者170 个公开仓库始于 2019年7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
PyPIinference-models0.37.049,7891341 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?

100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 0 天前
36/36提交节奏52 周中有 52 周有提交
18/18提交量最近一年 2,914 次提交
0/10OpenSSF Scorecard:Maintained无数据
所用输入
commits_last_year2,914
human_commit_share1
days_since_last_push0
active_weeks_last_year52

发布纪律

100卓越
评分方式
27/27有发布版本已发布 100 个发布版本
36/36发布时效最近一次发布版本于 1 天前
27/27发布节奏约每 4.9 天发布一次
0/10OpenSSF Scorecard:Signed-Releases无数据
所用输入
releases_count100
latest_release_tagv1.5.2
releases_from_tags
days_since_latest_release1
mean_days_between_releases4.9

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?

78良好 · 占总体的 17%
评分方式
54.9/60星标2,438 个星标
20.8/25复刻313 个复刻
8/15关注者29 位关注者
所用输入
forks313
stars2,438
watchers29
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

71良好
评分方式
22.5/22.5README
16.9/22.5许可证存在许可证文件,但不是可识别的许可证
18/18CONTRIBUTING 指南
0/13.5行为准则
0/7.2议题模板
6.3/6.3PR 模板
所用输入
has_readme
has_license
readme_badges5
has_contributing
has_issue_template
has_code_of_conduct
readme_badge_servicesbadge.fury.io, shields.io
has_pull_request_template

可持续性与治理

项目能否在其成员之外延续——巴士系数、响应能力、由谁支持,以及软件包的维护状况?

80优秀 · 占总体的 23%
评分方式
25.2/54巴士系数2 位贡献者贡献了半数提交
14.6/22.5提交分布头号贡献者编写了 35% 的提交
13.5/13.5贡献者广度97 位贡献者
0/10OpenSSF Scorecard:Contributors无数据
所用输入
bus_factor2
contributors_sampled97
top_contributor_share0.349
评分方式
25.4/42议题解决60% 的议题已关闭
25/30PR 接受已裁定的 PR 中 2,197/2,636 已合并
8.7/13Newcomer PR acceptance30 天内首次贡献者的 PR 已合并 4/6
0/15OpenSSF Scorecard:Code-Review无数据
所用输入
merged_prs2,197
open_issues84
closed_issues128
prs_merged_7d31
prs_decided_7d40
prs_merged_30d48
prs_decided_30d59
issue_closed_ratio0.604
closed_unmerged_prs439
first_time_authors_30d4
first_time_prs_merged_30d4
first_time_prs_decided_30d6
评分方式
30/30所有权背书组织持有
20/20已验证域名
25/25所有者影响力roboflow 有 5,315 位关注者
25/25既往记录170 个公开仓库,账户约 7 年
所用输入
followers5,315
owner_typeOrganization
is_verified
owner_loginroboflow
public_repos170
account_age_days2,604
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 1 天前
20/20版本历史134 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
packagesinference-models
ecosystemspypi
any_deprecated
min_days_since_publish1

工程质量

基础的工程与文档实践是否到位?

84优秀 · 占总体的 19%

工程实践

80优秀
评分方式
24/24CI 工作流66 个工作流
24/24存在测试
16/16Linter 配置.eslintrc.json
0/9.6Pre-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

90优秀
评分方式
30/30README
25/25文档目录
15/15文档 / 主页站点https://inference.roboflow.com
10/10仓库描述
10/10主题标签20 个主题标签
0/10Wiki
所用输入
topicscomputer-vision, inference-api, inference-server, vit, yolov5, yolov8, jetson, tensorrt, classification, instance-segmentation, object-detection, onnx, deployment, docker, inference, machine-learning, python, yolo11, agents, yolov12
has_wiki
homepagehttps://inference.roboflow.com
docs_sitehttps://inference.roboflow.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?

40薄弱 · 占总体的 16%

安全态势

25存在风险
评分方式
0/30安全策略(SECURITY.md)
0/25Dependabot 配置
25/25依赖锁定文件package-lock.json, uv.lock
0/20CodeQL 工作流
所用输入
sourcefile_signals
lockfilespackage-lock.json, uv.lock
manifestsinference_models/pyproject.toml, pyproject.toml, requirements/requirements.cli.txt, requirements/requirements.clip.txt, requirements/requirements.cloud_deploy.txt, requirements/requirements.cloud_storage.txt, requirements/requirements.code_analysis.txt, requirements/requirements.cosmos.txt, requirements/requirements.cpu.txt, requirements/requirements.docs.txt, requirements/requirements.doctr.txt, requirements/requirements.easyocr.txt, requirements/requirements.gpu.cu13.txt, requirements/requirements.gpu.txt, requirements/requirements.groundingdino.txt, requirements/requirements.hosted.txt, requirements/requirements.http.txt, requirements/requirements.jetson.txt, requirements/requirements.magevl.txt, requirements/requirements.modal.txt, requirements/requirements.pali.flash_attn.cu13.txt, requirements/requirements.pali.flash_attn.txt, requirements/requirements.parallel.txt, requirements/requirements.sam.txt, requirements/requirements.sam3.txt, requirements/requirements.sam3_3d.txt, requirements/requirements.sdk.http.txt, requirements/requirements.sdk.webrtc.txt, requirements/requirements.test.colab.txt, requirements/requirements.test.integration.txt, requirements/requirements.test.unit.txt, requirements/requirements.transformers.txt, requirements/requirements.vino.txt, requirements/requirements.yolo_world.txt, setup.py, theme_build/package.json
has_codeql_workflow
has_security_policy
has_dependabot_config
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_packages139
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:inference-models@0.37.0 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 139 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。

85优秀 · 占总体的 4%
评分方式
45/45代理指令.cursor/rules/cli-options.mdc, .cursor/rules/empty-lines.mdc, .cursor/rules/execution-engine-version-changelog.mdc, .cursor/rules/function-call.mdc, .cursor/rules/google-docstrings.mdc, .cursor/rules/pathlib.mdc, .cursor/rules/pr-description.mdc, .cursor/rules/pydantic-field-descriptions.mdc, .cursor/rules/return-values.mdc, .cursor/rules/uv-package-management.mdc, AGENTS.md
15/15机器可读文档(llms.txt)项目网站提供 llms.txt(https://inference.roboflow.com/llms.txt)
40/40可读的提交历史100 次人类提交中有 99 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_urlhttps://inference.roboflow.com/llms.txt
legible_history_share0.99
agent_instruction_files.cursor/rules/cli-options.mdc, .cursor/rules/empty-lines.mdc, .cursor/rules/execution-engine-version-changelog.mdc, .cursor/rules/function-call.mdc, .cursor/rules/google-docstrings.mdc, .cursor/rules/pathlib.mdc, .cursor/rules/pr-description.mdc, .cursor/rules/pydantic-field-descriptions.mdc, .cursor/rules/return-values.mdc, .cursor/rules/uv-package-management.mdc, AGENTS.md
agent_instruction_max_bytes4,044
评分方式
18/18一条命令的引导启动Makefile
22/22自动化测试
11/11Lint / 格式化配置.eslintrc.json
11/11静态类型检查inference/landing/tsconfig.json
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 41 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无数据
所用输入
has_nix
has_tests
lockfilespackage-lock.json, uv.lock
has_dockerfile
typed_language
bootstrap_filesMakefile
has_devcontainer
has_linter_config
typecheck_configsinference/landing/tsconfig.json
agent_commit_share0.41
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(inference/landing/tsconfig.json)
54.2/55可控的文件大小采样的 2,991 个源文件中有 45 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes361,910
source_files_sampled2,991
oversized_source_files45
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

2,438GitHub 星标
97贡献者
2,914最近 12 个月提交数
0距最近推送天数
100发布版本数
2巴士系数(bus factor)
84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
  • First-time contributor figures cover 12 of 22 authors (cap 12)
  • Could not fetch pypi package 'inference-development' from its registry
  • Could not fetch npm package 'inference-docs-theme' from its registry
  • OpenSSF Scorecard did not return a usable result (killed by SIGKILL — most likely the container's memory limit; 2026/09/05 18:22:57 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

Star 与 Fork 历史 0 ★ / 313 ⇿
0Star
313Fork
99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。

0125250375308112023-082025-022026-09
主版本 1次版本 18修订 79

每个点涵盖 3 天。

直接依赖 52
注册表软件包版本约束清单文件
PyPInumpyinference_models/pyproject.toml
PyPItorch>=2.0.0,<3.0.0inference_models/pyproject.toml
PyPItorchvisioninference_models/pyproject.toml
PyPIopencv-python>=4.8.1.78inference_models/pyproject.toml
PyPIrequests>=2.33.0,<3.0.0inference_models/pyproject.toml
PyPIsupervision>=0.29.0inference_models/pyproject.toml
PyPIbackoff~=2.2.0inference_models/pyproject.toml
PyPIpython-dotenv>=1.2.2,<2.0.0inference_models/pyproject.toml
PyPItransformers>=5.10.0,<5.16.0inference_models/pyproject.toml
PyPIdiffusers>=0.39.0,<0.41.0inference_models/pyproject.toml
PyPItimm>=1.0.0,<2.0.0inference_models/pyproject.toml
PyPIaccelerate>=1.0.0,<2.0.0inference_models/pyproject.toml
PyPIeinops>=0.7.0,<1.0.0inference_models/pyproject.toml
PyPIpeft>=0.18.1inference_models/pyproject.toml
PyPInum2words~=0.5.14inference_models/pyproject.toml
PyPIbitsandbytes>=0.46.1,<0.51.0inference_models/pyproject.toml
PyPIpyvips>=2.2.3,<3.0.0inference_models/pyproject.toml
PyPIrf-clip==1.1inference_models/pyproject.toml
PyPIpython-doctr>=1.0.0inference_models/pyproject.toml
PyPIpackaging>=24.0.0inference_models/pyproject.toml
PyPIrich>=14.1.0,<15.0.0inference_models/pyproject.toml
PyPIpydantic>=2.11.7,<3.0.0inference_models/pyproject.toml
PyPIfilelock>=3.20.3,<4.0.0inference_models/pyproject.toml
PyPIsegmentation-models-pytorch>=0.5.0,<1.0.0inference_models/pyproject.toml
PyPIscikit-image>=0.24.0,<0.26.0inference_models/pyproject.toml
PyPIeasyocr~=1.7.2inference_models/pyproject.toml
PyPIsentencepiece>=0.2.1,<0.3.0inference_models/pyproject.toml
PyPIrf_groundingdino==0.3.0inference_models/pyproject.toml
PyPItldextract~=5.1.2inference_models/pyproject.toml
PyPIpybase64~=1.0.0inference_models/pyproject.toml
PyPIrf-segment-anything==1.0inference_models/pyproject.toml
PyPIrf-sam-2==1.0.3inference_models/pyproject.toml
PyPIpycocotools>=2.0.10,<2.1.0inference_models/pyproject.toml
PyPIPyYAML>=6.0.0,<7.0.0inference_models/pyproject.toml
PyPIpyclipper>=1.3.0,<2.0.0inference_models/pyproject.toml
PyPIshapely>=2.0.0,<3.0.0inference_models/pyproject.toml
PyPIhydra-core>=1.3.4inference_models/pyproject.toml
PyPIurllib3>=2.7.0,<3.0.0inference_models/pyproject.toml
PyPIpillow>=12.3.0,<13.0.0inference_models/pyproject.toml
PyPIGitPython>=3.1.57,<4.0.0inference_models/pyproject.toml
PyPICairoSVG>=2.9.0,<3.0.0inference_models/pyproject.toml
PyPIfonttools>=4.60.2,<5.0.0inference_models/pyproject.toml
PyPIPygments>=2.20.0,<3.0.0inference_models/pyproject.toml
PyPIidna>=3.15inference_models/pyproject.toml
PyPIsetuptools>=83.0.0inference_models/pyproject.toml
npm@rive-app/canvas^2.25.7theme_build/package.json
npm@tailwindcss/line-clamp^0.4.4theme_build/package.json
npmgsap^3.12.7theme_build/package.json
npmswiper^12.1.2theme_build/package.json
npmshell-quote^1.9.0theme_build/package.json
npmbrace-expansion^5.0.8theme_build/package.json
npmpostcss^8.5.18theme_build/package.json
全部依赖 1,052

来自 GitHub 依赖图的完整解析依赖集合:100 个直接依赖与 952 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
npm@rive-app/canvas2.25.7直接
npm@tailwindcss/line-clamp0.4.4直接
npmbrace-expansion5.0.9直接
npmgsap3.12.7直接
npmpostcss8.5.23直接
npmshell-quote1.10.0直接
npmswiper12.1.2直接
PyPIaccelerate直接
PyPIaccelerate1.7.0直接
PyPIbackoff直接
PyPIbackoff2.2.1直接
PyPIbitsandbytes直接
PyPIbitsandbytes0.50.1直接
PyPIcairosvg2.9.0直接
PyPIdiffusers直接
PyPIdiffusers0.39.0直接
PyPIeasyocr1.7.2直接
PyPIeinops直接
PyPIeinops0.8.1直接
PyPIfilelock直接
PyPIfilelock3.29.0直接
PyPIfonttools4.62.1直接
PyPIgitpython3.1.58直接
PyPIhydra-core直接
PyPIhydra-core1.3.6直接
PyPIidna3.18直接
PyPInum2words直接
PyPInum2words0.5.14直接
PyPInumpy直接
PyPInumpy1.26.4直接
PyPIopencv-python直接
PyPIopencv-python4.11.0.86直接
PyPIpackaging直接
PyPIpackaging25.0直接
PyPIpeft直接
PyPIpeft0.18.1直接
PyPIpillow直接
PyPIpillow12.3.0直接
PyPIpybase64直接
PyPIpybase641.0.2直接
PyPIpyclipper1.3.0.post6直接
PyPIpycocotools直接
PyPIpycocotools2.0.10直接
PyPIpydantic直接
PyPIpydantic2.11.7直接
PyPIpygments2.20.0直接
PyPIpython-doctr直接
PyPIpython-doctr1.0.1直接
PyPIpython-dotenv直接
PyPIpython-dotenv1.2.2直接
PyPIpyvips直接
PyPIpyvips2.2.3直接
PyPIpyyaml直接
PyPIpyyaml6.0.2直接
PyPIrequests直接
PyPIrequests2.33.0直接
PyPIrequests2.33.1直接
PyPIrf-clip1.1直接
PyPIrf-groundingdino直接
PyPIrf-groundingdino0.3.0直接
PyPIrf-sam-21.0.3直接
PyPIrf-segment-anything1.0直接
PyPIrich直接
PyPIrich14.1.0直接
PyPIscikit-image直接
PyPIscikit-image0.25.2直接
PyPIsegmentation-models-pytorch0.5.0直接
PyPIsentencepiece0.2.1直接
PyPIsetuptools直接
PyPIsetuptools83.0.0直接
PyPIshapely直接
PyPIshapely2.1.1直接
PyPIsupervision直接
PyPIsupervision0.13.0直接
PyPIsupervision0.29.1直接
PyPItimm直接
PyPItimm1.0.15直接
PyPItimm1.0.27直接
PyPItldextract直接
PyPItldextract5.1.3直接
PyPItorch直接
PyPItorch2.13.0+cu130直接
PyPItorch2.6.0+cu124直接
PyPItorch2.7.1直接
PyPItorch2.7.1+cpu直接
PyPItorch2.7.1+cu118直接
PyPItorch2.7.1+cu128直接
PyPItorch2.8.0直接
PyPItorchvision直接
PyPItorchvision0.21.0+cu124直接
PyPItorchvision0.22.1直接
PyPItorchvision0.22.1+cpu直接
PyPItorchvision0.22.1+cu118直接
PyPItorchvision0.22.1+cu128直接
PyPItorchvision0.23.0直接
PyPItorchvision0.28.0+cu130直接
PyPItransformers直接
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npmset-function-name2.0.2间接
npmset-proto1.0.0间接
npmsharp0.35.0间接
npmshebang-command2.0.0间接
npmshebang-regex3.0.0间接
npmside-channel1.1.1间接
npmside-channel-list1.0.1间接
npmside-channel-map1.0.1间接
npmside-channel-weakmap1.0.2间接
npmsource-map-js1.2.1间接
npmspace-separated-tokens2.0.2间接
npmspawn-command0.0.2间接
npmstable-hash0.0.5间接
npmstop-iteration-iterator1.1.0间接
npmstring-width4.2.3间接
npmstring.prototype.includes2.0.1间接
npmstring.prototype.matchall4.0.12间接
npmstring.prototype.repeat1.0.0间接
npmstring.prototype.trim1.2.11间接
npmstring.prototype.trimend1.0.10间接
npmstring.prototype.trimstart1.0.8间接
npmstrip-ansi6.0.1间接
npmstrip-bom3.0.0间接
npmstyled-jsx5.1.6间接
npmsucrase3.35.1间接
npmsupports-color7.2.0间接
npmsupports-color8.1.1间接
npmsupports-preserve-symlinks-flag1.0.0间接
npmtailwindcss3.4.17间接
npmtailwindcss4.3.3间接
npmtapable2.3.3间接
npmthenify3.3.1间接
npmthenify-all1.6.0间接
npmtinyglobby0.2.17间接
npmto-regex-range5.0.1间接
npmtree-kill1.2.2间接
npmts-api-utils2.5.0间接
npmts-interface-checker0.1.13间接
npmtsconfig-paths3.15.0间接
npmtslib2.8.1间接
npmtype-check0.4.0间接
npmtyped-array-buffer1.0.3间接
npmtyped-array-byte-length1.0.3间接
npmtyped-array-byte-offset1.0.4间接
npmtyped-array-length1.0.8间接
npmtypescript6.0.3间接
npmtypescript-eslint8.65.0间接
npmunbox-primitive1.1.0间接
npmundici-types8.3.0间接
npmunrs-resolver1.12.2间接
npmupdate-browserslist-db1.2.3间接
npmuri-js4.4.1间接
npmutil-deprecate1.0.2间接
npmwhich2.0.2间接
npmwhich-boxed-primitive1.1.1间接
npmwhich-builtin-type1.2.1间接
npmwhich-collection1.0.2间接
npmwhich-typed-array1.1.22间接
npmword-wrap1.2.5间接
npmwrap-ansi7.0.0间接
npmy18n5.0.8间接
npmyallist3.1.1间接
npmyaml2.8.3间接
npmyargs17.7.2间接
npmyargs-parser21.1.1间接
npmyocto-queue0.1.0间接
npmzod4.4.3间接
npmzod-validation-error4.0.2间接
PyPIaddict2.4.0间接
PyPIadlfs间接
PyPIaiohttp间接
PyPIaioresponses间接
PyPIaiortc间接
PyPIannotated-doc0.0.4间接
PyPIannotated-types0.7.0间接
PyPIanthropic间接
PyPIantlr4-python3-runtime4.9.3间接
PyPIanyascii0.3.2间接
PyPIanyio4.12.1间接
PyPIappnope0.1.4间接
PyPIapscheduler间接
PyPIasgi-correlation-id间接
PyPIastor间接
PyPIasttokens3.0.1间接
PyPIasyncua间接
PyPIattrs25.3.0间接
PyPIav14.2.0间接
PyPIbabel2.17.0间接
PyPIbackrefs6.1间接
PyPIbeautifulsoup44.14.3间接
PyPIblack26.3.1间接
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PyPIboto3间接
PyPIboto31.41.5间接
PyPIbotocore间接
PyPIbotocore1.41.5间接
PyPIcachetools间接
PyPIcairocffi1.7.1间接
PyPIcelery间接
PyPIcertifi2025.6.15间接
PyPIcffi1.17.1间接
PyPIcharset-normalizer3.4.2间接
PyPIclick间接
PyPIclick8.3.1间接
PyPIcodec-video-prep间接
PyPIcodeflash间接
PyPIcolorama0.4.6间接
PyPIcoloredlogs15.0.1间接
PyPIcomm0.2.3间接
PyPIcontourpy1.3.2间接
PyPIcryptography间接
PyPIcssselect20.8.0间接
PyPIcuda-bindings13.3.1间接
PyPIcuda-pathfinder1.8.0间接
PyPIcuda-toolkit13.0.3.0间接
PyPIcycler0.12.1间接
PyPIcython间接
PyPIdataclasses-json间接
PyPIdebugpy1.8.19间接
PyPIdecorator5.2.1间接
PyPIdefusedxml0.7.1间接
PyPIdiff-gaussian-rasterization间接
PyPIdill0.3.8间接
PyPIdocker间接
PyPIdocopt0.6.2间接
PyPIeasydict间接
PyPIelasticache-auto-discovery间接
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PyPIfastapi间接
PyPIfastapi-cprofile间接
PyPIfastjsonschema2.21.2间接
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PyPIflash-attn2.7.4.post1间接
PyPIflash-attn2.8.3.post1间接
PyPIflask间接
PyPIflatbuffers25.12.19间接
PyPIfsspec间接
PyPIfsspec2025.5.1间接
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PyPIgcsfs间接
PyPIgdown间接
PyPIghp-import2.1.0间接
PyPIgitdb4.0.12间接
PyPIgoogle-cloud-storage间接
PyPIgriffe1.15.0间接
PyPIgsplat间接
PyPIgunicorn间接
PyPIh110.16.0间接
PyPIh5py3.14.0间接
PyPIhf-xet1.3.2间接
PyPIhttpcore1.0.9间接
PyPIhttpx间接
PyPIhttpx0.28.1间接
PyPIhuggingface-hub1.5.0间接
PyPIhumanfriendly10.0间接
PyPIigraph间接
PyPIimageio2.37.0间接
PyPIimath间接
PyPIimportlib-metadata8.7.0间接
PyPIimportlib-resources6.5.2间接
PyPIinference-models间接
PyPIinference-models0.37.0间接
PyPIiniconfig2.1.0间接
PyPIiopath0.1.10间接
PyPIipykernel6.31.0间接
PyPIipython8.38.0间接
PyPIipython9.9.0间接
PyPIipython-pygments-lexers1.1.1间接
PyPIisort5.13.2间接
PyPIjedi0.19.2间接
PyPIjinja2间接
PyPIjinja23.1.6间接
PyPIjmespath1.1.0间接
PyPIjsonschema4.26.0间接
PyPIjsonschema-specifications2025.9.1间接
PyPIjupyter-client8.8.0间接
PyPIjupyter-core5.9.1间接
PyPIjupyterlab-pygments0.3.0间接
PyPIjupytext1.18.1间接
PyPIkiwisolver1.4.8间接
PyPIlangdetect1.0.9间接
PyPIlazy-loader0.4间接
PyPIlightning间接
PyPIloguru间接
PyPImako1.3.12间接
PyPImarkdown3.10间接
PyPImarkdown-it-py3.0.0间接
PyPImarkupsafe3.0.2间接
PyPImatplotlib3.10.3间接
PyPImatplotlib3.7.1间接
PyPImatplotlib-inline0.2.1间接
PyPImdit-py-plugins0.5.0间接
PyPImdurl0.1.2间接
PyPImergedeep1.3.4间接
PyPImike2.1.3间接
PyPImistune3.3.3间接
PyPImkdocs1.6.1间接
PyPImkdocs-autorefs1.4.3间接
PyPImkdocs-ezlinks-plugin间接
PyPImkdocs-gen-files0.6.0间接
PyPImkdocs-get-deps0.2.0间接
PyPImkdocs-git-committers-plugin-22.5.0间接
PyPImkdocs-git-revision-date-localized-plugin间接
PyPImkdocs-git-revision-date-localized-plugin1.5.0间接
PyPImkdocs-jupyter间接
PyPImkdocs-jupyter0.25.1间接
PyPImkdocs-literate-nav0.6.2间接
PyPImkdocs-macros-plugin间接
PyPImkdocs-material9.7.7间接
PyPImkdocs-material-extensions1.3.1间接
PyPImkdocs-swagger-ui-tag间接
PyPImkdocstrings0.30.1间接
PyPImkdocstrings-python1.19.0间接
PyPIml-dtypes0.5.1间接
PyPIml-dtypes0.5.4间接
PyPImodal间接
PyPImoge间接
PyPImpmath1.3.0间接
PyPImsgpack间接
PyPInbclient0.10.4间接
PyPInbconvert7.17.1间接
PyPInbformat5.10.4间接
PyPInest-asyncio1.6.0间接
PyPInetworkx间接
PyPInetworkx3.4.2间接
PyPInetworkx3.5间接
PyPIninja1.13.0间接
PyPInvdiffrast间接
PyPInvidia-cublas13.1.1.3间接
PyPInvidia-cublas-cu1111.11.3.6间接
PyPInvidia-cublas-cu1212.4.5.8间接
PyPInvidia-cublas-cu1212.8.3.14间接
PyPInvidia-cublas-cu1212.8.4.1间接
PyPInvidia-cuda-cupti13.0.85间接
PyPInvidia-cuda-cupti-cu1111.8.87间接
PyPInvidia-cuda-cupti-cu1212.4.127间接
PyPInvidia-cuda-cupti-cu1212.8.57间接
PyPInvidia-cuda-cupti-cu1212.8.90间接
PyPInvidia-cuda-nvrtc13.0.88间接
PyPInvidia-cuda-nvrtc-cu1111.8.89间接
PyPInvidia-cuda-nvrtc-cu1212.4.127间接
PyPInvidia-cuda-nvrtc-cu1212.8.61间接
PyPInvidia-cuda-nvrtc-cu1212.8.93间接
PyPInvidia-cuda-runtime13.0.96间接
PyPInvidia-cuda-runtime-cu1111.8.89间接
PyPInvidia-cuda-runtime-cu1212.4.127间接
PyPInvidia-cuda-runtime-cu1212.8.57间接
PyPInvidia-cuda-runtime-cu1212.8.90间接
PyPInvidia-cuda-runtime-cu1212.9.79间接
PyPInvidia-cudnn-cu119.1.0.70间接
PyPInvidia-cudnn-cu129.1.0.70间接
PyPInvidia-cudnn-cu129.10.2.21间接
PyPInvidia-cudnn-cu129.7.1.26间接
PyPInvidia-cudnn-cu139.20.0.48间接
PyPInvidia-cufft12.0.0.61间接
PyPInvidia-cufft-cu1110.9.0.58间接
PyPInvidia-cufft-cu1211.2.1.3间接
PyPInvidia-cufft-cu1211.3.3.41间接
PyPInvidia-cufft-cu1211.3.3.83间接
PyPInvidia-cufile1.15.1.6间接
PyPInvidia-cufile-cu121.13.0.11间接
PyPInvidia-cufile-cu121.13.1.3间接
PyPInvidia-curand10.4.0.35间接
PyPInvidia-curand-cu1110.3.0.86间接
PyPInvidia-curand-cu1210.3.5.147间接
PyPInvidia-curand-cu1210.3.9.55间接
PyPInvidia-curand-cu1210.3.9.90间接
PyPInvidia-cusolver12.0.4.66间接
PyPInvidia-cusolver-cu1111.4.1.48间接
PyPInvidia-cusolver-cu1211.6.1.9间接
PyPInvidia-cusolver-cu1211.7.2.55间接
PyPInvidia-cusolver-cu1211.7.3.90间接
PyPInvidia-cusparse12.6.3.3间接
PyPInvidia-cusparse-cu1111.7.5.86间接
PyPInvidia-cusparse-cu1212.3.1.170间接
PyPInvidia-cusparse-cu1212.5.7.53间接
PyPInvidia-cusparse-cu1212.5.8.93间接
PyPInvidia-cusparselt-cu120.6.2间接
PyPInvidia-cusparselt-cu120.6.3间接
PyPInvidia-cusparselt-cu120.7.1间接
PyPInvidia-cusparselt-cu130.8.1间接
PyPInvidia-ml-py间接
PyPInvidia-nccl-cu112.21.5间接
PyPInvidia-nccl-cu122.21.5间接
PyPInvidia-nccl-cu122.26.2间接
PyPInvidia-nccl-cu122.27.3间接
PyPInvidia-nccl-cu132.29.7间接
PyPInvidia-nvjitlink13.3.33间接
PyPInvidia-nvjitlink-cu1212.4.127间接
PyPInvidia-nvjitlink-cu1212.8.61间接
PyPInvidia-nvjitlink-cu1212.8.93间接
PyPInvidia-nvshmem-cu133.4.5间接
PyPInvidia-nvtx13.0.85间接
PyPInvidia-nvtx-cu1111.8.86间接
PyPInvidia-nvtx-cu1212.4.127间接
PyPInvidia-nvtx-cu1212.8.55间接
PyPInvidia-nvtx-cu1212.8.90间接
PyPIomegaconf间接
PyPIomegaconf2.3.0间接
PyPIonnx1.21.0间接
PyPIonnxruntime间接
PyPIonnxruntime1.22.0间接
PyPIonnxruntime-gpu间接
PyPIonnxruntime-gpu1.20.1间接
PyPIonnxruntime-gpu1.22.0间接
PyPIonnxruntime-gpu1.23.0间接
PyPIonnxruntime-openvino间接
PyPIonvif-zeep-async2.0.0间接
PyPIopen3d间接
PyPIopenai间接
PyPIopencv-contrib-python间接
PyPIopencv-python-headless4.11.0.86间接
PyPIopenexr间接
PyPIopentelemetry-api间接
PyPIopentelemetry-exporter-otlp-proto-grpc间接
PyPIopentelemetry-exporter-otlp-proto-http间接
PyPIopentelemetry-instrumentation-fastapi间接
PyPIopentelemetry-instrumentation-requests间接
PyPIopentelemetry-sdk间接
PyPIoptree间接
PyPIorjson间接
PyPIpaginate0.5.7间接
PyPIpaho-mqtt间接
PyPIpandas间接
PyPIpandas2.0.2间接
PyPIpandocfilters1.5.1间接
PyPIparso0.8.5间接
PyPIpathspec1.0.3间接
PyPIpexpect4.9.0间接
PyPIpkgconfig1.6.0间接
PyPIplatformdirs4.3.8间接
PyPIpluggy1.6.0间接
PyPIportalocker3.2.0间接
PyPIprometheus-fastapi-instrumentator间接
PyPIprompt-toolkit3.0.52间接
PyPIprotobuf7.34.1间接
PyPIpsutil间接
PyPIpsutil7.0.0间接
PyPIptyprocess0.7.0间接
PyPIpure-eval0.2.3间接
PyPIpy-cpuinfo间接
PyPIpycparser2.22间接
PyPIpycuda2025.1.1间接
PyPIpydantic-core2.33.2间接
PyPIpydantic-settings间接
PyPIpydeprecate0.9.0间接
PyPIpydot间接
PyPIpyinstaller间接
PyPIpylogix1.0.5间接
PyPIpymdown-extensions11.0.1间接
PyPIpymemcache间接
PyPIpymeshfix间接
PyPIpymodbus间接
PyPIpynvvideocodec间接
PyPIpyparsing3.2.3间接
PyPIpypdfium2间接
PyPIpypdfium24.30.0间接
PyPIpyreadline33.5.4间接
PyPIpytest间接
PyPIpytest9.0.3间接
PyPIpytest-asyncio间接
PyPIpytest-retry间接
PyPIpytest-timeout间接
PyPIpytest-timeout2.4.0间接
PyPIpytest-xdist3.8.0间接
PyPIpython-bidi0.6.7间接
PyPIpython-dateutil2.9.0.post0间接
PyPIpython-multipart0.0.32间接
PyPIpytools2025.1.6间接
PyPIpytorch3d间接
PyPIpyvista间接
PyPIpywin32311间接
PyPIpyyaml-env-tag1.1间接
PyPIpyzmq27.1.0间接
PyPIqrcode间接
PyPIrapidfuzz3.13.0间接
PyPIrasterio间接
PyPIredis间接
PyPIreferencing0.37.0间接
PyPIregex2026.4.4间接
PyPIrequests-file3.0.1间接
PyPIrequests-mock1.11.0间接
PyPIrequests-mock1.12.1间接
PyPIrequests-toolbelt间接
PyPIrerun-sdk间接
PyPIrpds-py0.30.0间接
PyPIs3fs间接
PyPIs3transfer0.15.0间接
PyPIsafetensors0.8.0间接
PyPIsam30.1.4间接
PyPIscipy1.15.3间接
PyPIshellingham1.5.4间接
PyPIsimple-pid间接
PyPIsiphash241.7间接
PyPIsix1.17.0间接
PyPIskypilot0.8.0间接
PyPIslack-sdk间接
PyPIsmmap5.0.2间接
PyPIsoupsieve2.9间接
PyPIspconv-cu121间接
PyPIstack-data0.6.3间接
PyPIstructlog间接
PyPIsympy1.13.1间接
PyPIsympy1.14.0间接
PyPItdfy间接
PyPItensorrt-cu1210.12.0.36间接
PyPItensorrt-cu12-bindings10.12.0.36间接
PyPItensorrt-cu12-libs10.12.0.36间接
PyPItensorrt-lean-cu1210.12.0.36间接
PyPItensorrt-lean-cu12-bindings10.12.0.36间接
PyPItensorrt-lean-cu12-libs10.12.0.36间接
PyPItifffile2025.5.10间接
PyPItifffile2025.9.9间接
PyPItinycss21.4.0间接
PyPItokenizers间接
PyPItokenizers0.22.2间接
PyPItomli2.2.1间接
PyPItornado6.5.8间接
PyPItqdm间接
PyPItqdm4.67.1间接
PyPItrackers间接
PyPItraitlets5.14.3间接
PyPItrimesh间接
PyPItriton3.2.0间接
PyPItriton3.3.1间接
PyPItriton3.4.0间接
PyPItriton3.7.1间接
PyPItwilio间接
PyPItyper间接
PyPItyper0.24.1间接
PyPItyping-extensions间接
PyPItyping-extensions4.14.0间接
PyPItyping-inspection0.4.1间接
PyPItzdata间接
PyPItzdata2025.3间接
PyPIultralytics间接
PyPIutils3d间接
PyPIuvicorn间接
PyPIvalidators0.35.0间接
PyPIverspec0.1.0间接
PyPIwatchdog6.0.0间接
PyPIwcwidth0.2.13间接
PyPIwebencodings0.5.1间接
PyPIwebsocket-client间接
PyPIwheel间接
PyPIxatlas间接
PyPIxformers间接
PyPIyapf0.43.0间接
PyPIz3-solver间接
PyPIzensical0.0.33间接
PyPIzipp3.23.0间接
PyPIzxing-cpp间接
依赖安全公告 0

安装 pypi:inference-models@0.37.0 会引入 139 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.