公开记录
软件健康报告模式 0.31.0 · 指标 2.6.0 · 2026-08-16 22:58 UTC

invoke-ai / InvokeAI

Invoke is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, and serves as the foundation for multiple commercial products.

Python · TypeScriptApache-2.0★ 27,904 星标⑂ 2,938 复刻始于 2022年8月在 GitHub 上查看 ↗
类型网络服务命令行工具桌面应用库如何判定
#ai-art#artificial-intelligence#generative-art#image-generation#img2img#inpainting#latent-diffusion#linux#macos#outpainting#txt2img#windows#stable-diffusion

invoke-ai/InvokeAI 的健康指数为 100 分中的 96 分，处于「卓越」区间。 其得分最高的类别是Engineering Quality（100/100），最低的是Security（58/100）。 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。

96
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。

96
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 83 经校准后在公布的指数量表上为 96（记录校准 2026-08-02）。

所有权

Invoke组织
1,472 关注者15 个公开仓库始于 2022年9月

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

软件包生态系统

注册表软件包版本月下载量版本数最近发布标签
PyPIInvokeAI6.13.846,3552733 天前stable-diffusionai

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？

98卓越 · 占总体的 21%

开发活跃度

97卓越
评分方式
36/36推送新近度 — 最近一次推送于 0 天前
33.2/36提交节奏 — 52 周中有 48 周有提交
18/18提交量 — 最近一年 1,233 次提交
10/10OpenSSF Scorecard：Maintained — 30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10
所用输入
commits_last_year1,233
human_commit_share1
days_since_last_push0
active_weeks_last_year48

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 0 天前
27/27发布节奏 — 约每 11.1 天发布一次
0/10OpenSSF Scorecard：Signed-Releases — 无数据
所用输入
releases_count100
latest_release_tagv6.14.0-rc2
releases_from_tags否
days_since_latest_release0
mean_days_between_releases11.1
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？

79良好 · 占总体的 17%

流行度与采用

98卓越
评分方式
60/60星标 — 27,904 个星标
25/25复刻 — 2,938 个复刻
12.8/15关注者 — 205 位关注者
所用输入
forks2,938
stars27,904
watchers205
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

57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
6.3/6.3PR 模板
所用输入
has_readme是
has_license是
readme_badges1
has_contributing否
has_issue_template否
has_code_of_conduct否
readme_badge_servicesshields.io
has_pull_request_template是

生态采用（下载量）

78良好
评分方式
62.2/80月度下载量 — pypi 合计每月 46,355 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
packagesInvokeAI
dependents—
ecosystemspypi
total_downloads—
monthly_downloads46,355
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？

77良好 · 占总体的 23%

维护者韧性（巴士系数）

61中等
评分方式
25.2/54巴士系数 — 2 位贡献者贡献了半数提交
12.3/22.5提交分布 — 头号贡献者编写了 45% 的提交
13.5/13.5贡献者广度 — 99 位贡献者
10/10OpenSSF Scorecard：Contributors — project has 38 contributing companies or organizations
所用输入
bus_factor2
contributors_sampled99
top_contributor_share0.452

议题与 PR 响应能力

86优秀
评分方式
38.4/42议题解决 — 91% 的议题已关闭
25.5/30PR 接受 — 已裁定的 PR 中 4,347/5,114 已合并
7.4/13Newcomer PR acceptance — 30 天内首次贡献者的 PR 已合并 4/7
15/15OpenSSF Scorecard：Code-Review — all changesets reviewed
所用输入
merged_prs4,347
open_issues325
closed_issues3,464
prs_merged_7d17
prs_decided_7d19
prs_merged_30d46
prs_decided_30d58
issue_closed_ratio0.914
closed_unmerged_prs767
first_time_authors_30d6
first_time_prs_merged_30d4
first_time_prs_decided_30d7

所有权与托管责任

69良好
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
22.8/25所有者影响力 — invoke-ai 有 1,472 位关注者
16.6/25既往记录 — 15 个公开仓库，账户约 3 年
所用输入
followers1,472
owner_typeOrganization
is_verified—
owner_logininvoke-ai
public_repos15
account_age_days1,426

软件包维护

100卓越
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 3 天前
20/20版本历史 — 273 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
packagesInvokeAI
ecosystemspypi
any_deprecated否
min_days_since_publish3

工程质量

基础的工程与文档实践是否到位？

100卓越 · 占总体的 19%

工程实践

100卓越
评分方式
24/24CI 工作流 — 15 个工作流
24/24存在测试
16/16Linter 配置 — eslint.config.mjs
9.6/9.6Pre-commit 钩子
6.4/6.4.editorconfig
20/20OpenSSF Scorecard：CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
所用输入
has_ci是
has_tests是
has_editorconfig是
has_linter_config是
has_precommit_config是

文档

100卓越
评分方式
30/30README
25/25文档目录
15/15文档 / 主页站点 — https://invoke-ai.github.io/InvokeAI/
10/10仓库描述
10/10主题标签 — 13 个主题标签
10/10Wiki
所用输入
topicsai-art, artificial-intelligence, generative-art, image-generation, img2img, inpainting, latent-diffusion, linux, macos, outpainting, txt2img, windows, stable-diffusion
has_wiki是
homepagehttps://invoke-ai.github.io/InvokeAI/
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？

58中等 · 占总体的 16%

安全态势

65良好
评分方式
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — 无数据
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 38 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5许可证 — license file detected
7.5/7.5Maintained — 30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
1/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — 无数据
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 153 existing vulnerabilities detected
所用输入
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6.5
已排除计分（无数据或不适用）：branch_protection, signed_releases。 其余权重已重新归一化。

依赖安全公告

32存在风险
评分方式
6.8/35直接依赖不含已知公告 — 3 个受影响：onnx 1.16.1 (critical 9.1), diffusers 0.37.0 (high 8.8), sentencepiece 0.2.0 (high)
7.3/25间接依赖不含已知公告 — 3 个受影响：ecdsa 0.19.2 (high 7.4), protobuf 4.25.9 (high 7.5), starlette 0.48.0 (high 7.5)
18.3/40没有长期未处理的公告 — 6 个携带公告的软件包超过 90 天未处理；最早一条发布于 937 天前
所用输入
sourceosv
advisories42
affected_packages6
assessed_packages183
unassessed_packages0
affected_by_severitycritical 1, high 5
direct_affected_packages3
比对的是 pypi:InvokeAI@6.13.8 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 183 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。

83优秀 · 占总体的 4%

AI 代理上下文与指引

85优秀
评分方式
45/45代理指令 — .github/AGENTS.md, invokeai/frontend/web/CLAUDE.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 100 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
legible_history_share1
agent_instruction_files.github/AGENTS.md, invokeai/frontend/web/CLAUDE.md
agent_instruction_max_bytes1,406

验证循环（构建 / 测试 / 类型检查）

84优秀
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 — eslint.config.mjs
11/11静态类型检查 — docs/tsconfig.json, invokeai/frontend/web/tsconfig.json
10/10可复现环境 — Dockerfile, Nix, lockfile
10/10已体现的代理实践 — 最近 100 次提交中有 36 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
2/10OpenSSF Scorecard：Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 2
所用输入
has_nix是
has_tests是
lockfilespnpm-lock.yaml, uv.lock
has_dockerfile是
typed_language否
bootstrap_filesMakefile
has_devcontainer否
has_linter_config是
typecheck_configsdocs/tsconfig.json, invokeai/frontend/web/tsconfig.json
agent_commit_share0.36
toolchain_manifests—
dependency_bot_commit_share0

面向模型的代码可读性

82优秀
评分方式
27/45可类型检查的代码 — Python，已配置类型检查（docs/tsconfig.json, invokeai/frontend/web/tsconfig.json）
54.5/55可控的文件大小 — 采样的 3,031 个源文件中有 30 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes1,819,840
source_files_sampled3,031
oversized_source_files30

机器可读接口

80优秀
评分方式
40/40API 模式（OpenAPI/GraphQL/proto） — invokeai/frontend/web/openapi.json
0/20MCP 服务器
40/40可运行示例 — notebooks
所用输入
example_dirsnotebooks
has_mcp_signal否
api_schema_filesinvokeai/frontend/web/openapi.json

关键数据

27,904GitHub 星标
99贡献者
1,233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）
325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 21 authors (cap 12)

更多细节

Star 与 Fork 历史 0 ★ / 2,938 ⇿
0Star
2,938Fork
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。

仅显示最近的历史——该仓库超出采集窗口，因此未采集最早的历史记录。

1,5002,0002,5003,0002,938222024-022025-052026-08
主版本 1次版本 24修订 19

每个点涵盖 3 天。

OpenSSF Scorecard 6.5 / 10
6.5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 · 2026-08-16 22:57 UTC

10Binary-Artifactsno binaries found in the repo
不适用Branch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 38 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
2Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 2
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
不适用Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities153 existing vulnerabilities detected
直接依赖 46
注册表软件包版本约束清单文件
PyPIaccelerate—pyproject.toml
PyPIbitsandbytes—pyproject.toml
PyPIcompel>=2.4.0,<3pyproject.toml
PyPIdiffusers==0.39.0pyproject.toml
PyPIgguf—pyproject.toml
PyPImediapipe==0.10.14pyproject.toml
PyPImistral-common>=1.5.4,<2pyproject.toml
PyPInumpy<2.0.0pyproject.toml
PyPIonnx==1.16.1pyproject.toml
PyPIonnxruntime==1.19.2pyproject.toml
PyPIopencv-contrib-python—pyproject.toml
PyPIimageio>=2.37pyproject.toml
PyPIpsutil>=6pyproject.toml
PyPIsafetensors—pyproject.toml
PyPIsentencepiece==0.2.0pyproject.toml
PyPIspandrel—pyproject.toml
PyPItorch>=2.7.0,<3.0pyproject.toml
PyPItorch>=2.7.0,<2.8.0pyproject.toml
PyPItorchsde—pyproject.toml
PyPItorchvision—pyproject.toml
PyPItransformers>=5.5,<5.6pyproject.toml
PyPIfastapi-events—pyproject.toml
PyPIfastapi== 0.118.3pyproject.toml
PyPIhuggingface-hub—pyproject.toml
PyPInetworkx—pyproject.toml
PyPIpydantic-settings—pyproject.toml
PyPIpydantic—pyproject.toml
PyPIpython-socketio—pyproject.toml
PyPIuvicorn—pyproject.toml
PyPIblake3—pyproject.toml
PyPIbcrypt<4.0.0pyproject.toml
PyPIDeprecated—pyproject.toml
PyPIdnspython—pyproject.toml
PyPIdynamicprompts—pyproject.toml
PyPIeinops—pyproject.toml
PyPIemail-validator>=2.0.0pyproject.toml
PyPIpasslib>=1.7.4pyproject.toml
PyPIpicklescan—pyproject.toml
PyPIpillow—pyproject.toml
PyPIprompt-toolkit—pyproject.toml
PyPIpypatchmatch—pyproject.toml
PyPIpython-jose>=3.3.0pyproject.toml
PyPIpython-multipart—pyproject.toml
PyPIrequests—pyproject.toml
PyPIsemver~=3.0.1pyproject.toml
PyPIPyWavelets—pyproject.toml
全部依赖 1,854

来自 GitHub 依赖图的完整解析依赖集合：55 个直接依赖与 1,799 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
PyPIaccelerate1.14.0直接
PyPIbcrypt3.2.2直接
PyPIbitsandbytes0.49.2直接
PyPIblake31.0.9直接
PyPIcompel2.4.0直接
PyPIdeprecated1.3.1直接
PyPIdiffusers0.39.0直接
PyPIdnspython2.8.0直接
PyPIdynamicprompts0.31.0直接
PyPIeinops0.8.2直接
PyPIemail-validator2.3.0直接
PyPIfastapi0.118.3直接
PyPIfastapi-events0.12.2直接
PyPIgguf0.19.0直接
PyPIhuggingface-hub1.21.0直接
PyPIimageio2.37.4直接
PyPImediapipe0.10.14直接
PyPImistral-common1.11.6直接
PyPInetworkx3.6.1直接
PyPInumpy1.26.4直接
PyPIonnx1.16.1直接
PyPIonnxruntime1.19.2直接
PyPIopencv-contrib-python4.11.0.86直接
PyPIpasslib1.7.4直接
PyPIpicklescan1.0.4直接
PyPIpillow12.2.0直接
PyPIprompt-toolkit3.0.52直接
PyPIpsutil7.2.2直接
PyPIpydantic2.13.4直接
PyPIpydantic-settings2.14.2直接
PyPIpypatchmatch1.0.2直接
PyPIpython-jose3.5.0直接
PyPIpython-multipart0.0.32直接
PyPIpython-socketio5.16.3直接
PyPIpywavelets1.9.0直接
PyPIrequests2.34.2直接
PyPIsafetensors0.8.0直接
PyPIsemver3.0.4直接
PyPIsentencepiece0.2.0直接
PyPIspandrel0.4.2直接
PyPItorch—直接
PyPItorch2.10.0+rocm7.1直接
PyPItorch2.13.0+xpu直接
PyPItorch2.7.1直接
PyPItorch2.7.1+cpu直接
PyPItorch2.7.1+cu128直接
PyPItorchsde0.2.6直接
PyPItorchvision—直接
PyPItorchvision0.22.1直接
PyPItorchvision0.22.1+cpu直接
PyPItorchvision0.22.1+cu128直接
PyPItorchvision0.25.0+rocm7.1直接
PyPItorchvision0.28.0+xpu直接
PyPItransformers5.5.4直接
PyPIuvicorn0.49.0直接
npm@adobe/css-tools4.4.4间接
npm@antfu/install-pkg1.1.0间接
npm@ascorbic/loader-utils1.0.2间接
npm@astrojs/compiler4.0.0间接
npm@astrojs/internal-helpers0.9.0间接
npm@astrojs/internal-helpers0.9.1间接
npm@astrojs/markdown-remark7.1.1间接
npm@astrojs/markdown-remark7.1.2间接
npm@astrojs/mdx5.0.4间接
npm@astrojs/mdx5.0.6间接
npm@astrojs/prism4.0.1间接
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PyPIannotated-doc0.0.4间接
PyPIannotated-types0.7.0间接
PyPIansicon1.89.0间接
PyPIanyio4.14.1间接
PyPIappnope0.1.4间接
PyPIargon2-cffi25.1.0间接
PyPIargon2-cffi-bindings25.1.0间接
PyPIarrow1.4.0间接
PyPIast-serialize0.5.0间接
PyPIasttokens3.0.1间接
PyPIasync-lru2.3.0间接
PyPIattrs26.1.0间接
PyPIbabel2.18.0间接
PyPIbackports-tarfile1.2.0间接
PyPIbeautifulsoup44.15.0间接
PyPIbidict0.23.1间接
PyPIbleach6.4.0间接
PyPIblessed1.44.0间接
PyPIbuild1.5.0间接
PyPIcattrs26.1.0间接
PyPIcertifi2026.6.17间接
PyPIcffi2.0.0间接
PyPIcfgv3.5.0间接
PyPIcharset-normalizer3.4.7间接
PyPIclick8.4.2间接
PyPIcodefind0.1.7间接
PyPIcolorama0.4.6间接
PyPIcoloredlogs15.0.1间接
PyPIcomm0.2.3间接
PyPIcontourpy1.3.3间接
PyPIcoverage7.14.3间接
PyPIcryptography49.0.0间接
PyPIcycler0.12.1间接
PyPIdebugpy1.8.21间接
PyPIdecorator5.3.1间接
PyPIdefusedxml0.7.1间接
PyPIdistlib0.4.3间接
PyPIdocutils0.23间接
PyPIdpcpp-cpp-rt2026.0.0间接
PyPIecdsa0.19.2间接
PyPIexecuting2.2.1间接
PyPIfaker40.23.0间接
PyPIfastjsonschema2.21.2间接
PyPIfilelock3.29.4间接
PyPIflatbuffers25.12.19间接
PyPIfonttools4.63.0间接
PyPIfqdn1.5.1间接
PyPIfsspec2026.6.0间接
PyPIgprof2dot2025.4.14间接
PyPIh110.16.0间接
PyPIhf-xet1.5.1间接
PyPIhttpcore1.0.9间接
PyPIhttptools0.8.0间接
PyPIhttpx0.28.1间接
PyPIhumanfriendly10.0间接
PyPIhumanize4.12.1间接
PyPIid1.6.1间接
PyPIidentify2.6.19间接
PyPIidna3.18间接
PyPIimageio-ffmpeg0.6.0间接
PyPIimpi-rt2021.18.0间接
PyPIimportlib-metadata9.0.0间接
PyPIiniconfig2.3.0间接
PyPIintel-cmplr-lib-rt2026.0.0间接
PyPIintel-cmplr-lib-ur2026.0.0间接
PyPIintel-cmplr-lic-rt2026.0.0间接
PyPIintel-opencl-rt2026.0.0间接
PyPIintel-openmp2026.0.0间接
PyPIintel-pti0.17.0间接
PyPIintel-sycl-rt2026.0.0间接
PyPIipykernel7.3.0间接
PyPIipython9.15.0间接
PyPIipython-pygments-lexers1.1.1间接
PyPIisoduration20.11.0间接
PyPIjaraco-classes3.4.0间接
PyPIjaraco-context6.1.2间接
PyPIjaraco-functools4.5.0间接
PyPIjax0.7.1间接
PyPIjaxlib0.7.1间接
PyPIjedi0.20.0间接
PyPIjeepney0.9.0间接
PyPIjinja23.1.6间接
PyPIjinxed2.0.4间接
PyPIjson50.15.0间接
PyPIjsonpointer3.1.1间接
PyPIjsonschema4.26.0间接
PyPIjsonschema-specifications2025.9.1间接
PyPIjupyter-builder1.0.2间接
PyPIjupyter-client8.9.1间接
PyPIjupyter-core5.9.1间接
PyPIjupyter-events0.12.1间接
PyPIjupyter-lsp2.3.1间接
PyPIjupyter-server2.20.0间接
PyPIjupyter-server-terminals0.5.4间接
PyPIjupyterlab4.6.0间接
PyPIjupyterlab-pygments0.3.0间接
PyPIjupyterlab-server2.28.0间接
PyPIjurigged0.6.1间接
PyPIkeyring25.7.0间接
PyPIkiwisolver1.5.0间接
PyPIlark1.3.1间接
PyPIlibrt0.11.0间接
PyPIlsprotocol2025.0.0间接
PyPImarkdown-it-py4.2.0间接
PyPImarkupsafe3.0.3间接
PyPImatplotlib3.11.0间接
PyPImatplotlib-inline0.2.2间接
PyPImdurl0.1.2间接
PyPImistune3.3.2间接
PyPImkl2026.0.0间接
PyPIml-dtypes0.5.4间接
PyPImore-itertools11.1.0间接
PyPImpmath1.3.0间接
PyPImypy2.1.0间接
PyPImypy-extensions1.1.0间接
PyPInbclient0.11.0间接
PyPInbconvert7.17.1间接
PyPInbformat5.10.4间接
PyPInest-asyncio21.7.2间接
PyPInh30.3.6间接
PyPInodeenv1.10.0间接
PyPInotebook7.6.0间接
PyPInotebook-shim0.2.4间接
PyPInvidia-cublas-cu1212.6.4.1间接
PyPInvidia-cublas-cu1212.8.3.14间接
PyPInvidia-cuda-cupti-cu1212.6.80间接
PyPInvidia-cuda-cupti-cu1212.8.57间接
PyPInvidia-cuda-nvrtc-cu1212.6.77间接
PyPInvidia-cuda-nvrtc-cu1212.8.61间接
PyPInvidia-cuda-runtime-cu1212.6.77间接
PyPInvidia-cuda-runtime-cu1212.8.57间接
PyPInvidia-cudnn-cu129.5.1.17间接
PyPInvidia-cudnn-cu129.7.1.26间接
PyPInvidia-cufft-cu1211.3.0.4间接
PyPInvidia-cufft-cu1211.3.3.41间接
PyPInvidia-cufile-cu121.11.1.6间接
PyPInvidia-cufile-cu121.13.0.11间接
PyPInvidia-curand-cu1210.3.7.77间接
PyPInvidia-curand-cu1210.3.9.55间接
PyPInvidia-cusolver-cu1211.7.1.2间接
PyPInvidia-cusolver-cu1211.7.2.55间接
PyPInvidia-cusparse-cu1212.5.4.2间接
PyPInvidia-cusparse-cu1212.5.7.53间接
PyPInvidia-cusparselt-cu120.6.3间接
PyPInvidia-nccl-cu122.26.2间接
PyPInvidia-nvjitlink-cu1212.6.85间接
PyPInvidia-nvjitlink-cu1212.8.61间接
PyPInvidia-nvtx-cu1212.6.77间接
PyPInvidia-nvtx-cu1212.8.55间接
PyPIoneccl2022.0.0间接
PyPIoneccl-devel2022.0.0间接
PyPIonemkl-license2026.0.0间接
PyPIonemkl-sycl-blas2026.0.0间接
PyPIonemkl-sycl-dft2026.0.0间接
PyPIonemkl-sycl-lapack2026.0.0间接
PyPIonemkl-sycl-rng2026.0.0间接
PyPIonemkl-sycl-sparse2026.0.0间接
PyPIonnxruntime-directml1.24.4间接
PyPIonnxruntime-gpu1.27.0间接
PyPIopt-einsum3.4.0间接
PyPIoverrides7.7.0间接
PyPIovld0.5.17间接
PyPIpackaging26.2间接
PyPIpandocfilters1.5.1间接
PyPIparso0.8.7间接
PyPIpathspec1.1.1间接
PyPIpexpect4.9.0间接
PyPIpip26.1.2间接
PyPIpip-tools7.5.3间接
PyPIpipdeptree3.1.0间接
PyPIplatformdirs4.10.0间接
PyPIpluggy1.6.0间接
PyPIpolyfactory2.19.0间接
PyPIpre-commit4.6.0间接
PyPIprometheus-client0.25.0间接
PyPIprotobuf4.25.9间接
PyPIptyprocess0.7.0间接
PyPIpudb2025.1.5间接
PyPIpure-eval0.2.3间接
PyPIpyasn10.6.3间接
PyPIpycountry26.2.16间接
PyPIpycparser3.0间接
PyPIpydantic-core2.46.4间接
PyPIpydantic-extra-types2.11.1间接
PyPIpyelftools0.33间接
PyPIpygls2.1.1间接
PyPIpygments2.20.0间接
PyPIpyparsing3.3.2间接
PyPIpyproject-hooks1.2.0间接
PyPIpyreadline33.5.6间接
PyPIpytest9.1.1间接
PyPIpytest-cov7.1.0间接
PyPIpytest-datadir1.8.0间接
PyPIpytest-timeout2.4.0间接
PyPIpython-dateutil2.9.0.post0间接
PyPIpython-discovery1.4.2间接
PyPIpython-dotenv1.2.2间接
PyPIpython-engineio4.13.3间接
PyPIpython-json-logger4.1.0间接
PyPIpywin32-ctypes0.2.3间接
PyPIpywinpty3.0.5间接
PyPIpyyaml6.0.3间接
PyPIpyzes0.1.1间接
PyPIpyzmq27.1.0间接
PyPIreadme-renderer45.0间接
PyPIreferencing0.37.0间接
PyPIregex2026.5.9间接
PyPIrequests-testadapter0.3.0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
PyPIrich15.0.0间接
PyPIrpds-py2026.5.1间接
PyPIrsa4.9.1间接
PyPIruff0.11.13间接
PyPIruff-lsp0.0.62间接
PyPIscipy1.17.1间接
PyPIsecretstorage3.5.0间接
PyPIsend2trash2.1.0间接
PyPIsetuptools82.0.1间接
PyPIshellingham1.5.4间接
PyPIsimple-websocket1.1.0间接
PyPIsix1.17.0间接
PyPIsnakeviz2.2.2间接
PyPIsounddevice0.5.5间接
PyPIsoupsieve2.8.4间接
PyPIstack-data0.6.3间接
PyPIstarlette0.48.0间接
PyPIsympy1.14.0间接
PyPItbb2023.0.0间接
PyPItcmlib1.5.0间接
PyPIterminado0.18.1间接
PyPItiktoken0.13.0间接
PyPItinycss21.5.1间接
PyPItokenizers0.22.2间接
PyPItomli2.4.1间接
PyPItornado6.5.7间接
PyPItqdm4.68.3间接
PyPItraitlets5.15.1间接
PyPItrampoline0.1.2间接
PyPItriton3.3.1间接
PyPItriton-rocm3.6.0间接
PyPItriton-xpu3.7.2间接
PyPItwine6.2.0间接
PyPItyper0.25.1间接
PyPItyping-extensions4.15.0间接
PyPItyping-inspection0.4.2间接
PyPItzdata2026.2间接
PyPIumf1.1.0间接
PyPIuri-template1.3.0间接
PyPIurllib32.7.0间接
PyPIurwid4.0.3间接
PyPIurwid-readline0.15.1间接
PyPIuvloop0.22.1间接
PyPIvirtualenv21.5.1间接
PyPIwatchdog6.0.0间接
PyPIwatchfiles1.2.0间接
PyPIwcwidth0.8.1间接
PyPIwebcolors25.10.0间接
PyPIwebencodings0.5.1间接
PyPIwebsocket-client1.9.0间接
PyPIwebsockets16.0间接
PyPIwheel0.47.0间接
PyPIwrapt2.2.2间接
PyPIwsproto1.3.2间接
PyPIxformers0.0.31.post1间接
PyPIxformers0.0.35间接
PyPIzipp4.1.0间接
依赖安全公告 6

安装 pypi:InvokeAI@6.13.8 会引入 183 个包（直接与传递）：其中 6 个存在已知公告，3 个为直接依赖。

软件包版本关系严重程度公告数修复版本
onnx1.16.1直接严重191.22.0
diffusers0.37.0直接高50.38.0
sentencepiece0.2.0直接高20.2.1
ecdsa0.19.2间接高2—
protobuf4.25.9间接高26.33.5
starlette0.48.0间接高121.3.1

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

相关记录

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

98pypa/cibuildwheel🎡 Build Python wheels for all the platforms with minimal configuration. 卓越98nodejs/nodeNode.js JavaScript runtime ✨🐢🚀✨卓越97basetenlabs/trussThe simplest way to serve AI/ML models in production卓越96spack/spackA flexible package manager that supports multiple versions, configurations, platforms, and compilers.卓越96mudler/LocalAILocalAI is the open-source AI engine. Run any model - LLMs, vision, voice, image, video - on any hardware. No GPU required.卓越96unoplatform/unoOpen-source platform for building cross-platform native Mobile, Web, Desktop, and Embedded apps from a single C#/XAML codebase. Work from any IDE/CLI with Hot Reload, Visual Designer, MCPs, and Skills built for modern .NET workflows. 200M+ NuGet downloads.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 v2.6.0、模式 v0.31.0—— 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.