公开记录
软件健康报告模式 0.16.0 · 指标 1.13.0 · 2026-07-21 02:32 UTC

deepset-ai / haystack

Open-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.

PythonApache-2.0★ 25,959 星标⑂ 2,941 复刻始于 2019年11月在 GitHub 上查看 ↗

deepset-ai/haystack 的健康指数为 100 分中的 93 分,处于「优秀」区间。 其得分最高的类别是Vitality(100/100),最低的是AI Readiness(72/100)。 最近一次更新在今天。 近期的大部分工作由 7 位贡献者完成。

93
总分 / 100
优秀

软件健康指数

指标归入加权类别,统一采用 1–100 量表。总体分先取类别加权平均;当公开证据触发高风险司法辖区政策时,评级会按政策调整,并设置 49(有风险)的上限。AI 就绪度不计入总体分。

93
优秀85-100堪称典范;基本满足所有检验标准
良好70-84健康;仅有轻微不足
中等50-69可接受,但存在明显不足;建议进行审查
存在风险30-49存在重大薄弱环节;采用时应保持审慎
危急1-29问题严重(项目被弃置、仅有单一维护者、缺乏基本工程规范)
活力社区与采用可持续性与治理工程质量安全AI 就绪度

评分画像

每条轴代表一个类别。形状比平均值更重要——健康的对象会填满整个图形,而“一峰一谷”式画像意味着某一维度的优势正掩盖另一维度的风险。

所有权

deepset组织
1,367 关注者74 个公开仓库始于 2019年6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
PyPIhaystack-ai3.0.01,022,6721660 天前bertqaquestion-answeringreaderretrieveralbertlanguage-modelmrcrobertasearchsemantic-searchsquadtransfer-learningtransformer

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优秀 · 占总体的 22%
评分方式
36/36推送新近度 — 最近一次推送于 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 1,620 次提交
10/10OpenSSF Scorecard:Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
所用输入
commits_last_year1,620
human_commit_share
days_since_last_push0
active_weeks_last_year52

发布纪律

100优秀
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 5.2 天发布一次
0/10OpenSSF Scorecard:Signed-Releases — 无数据
所用输入
releases_count100
latest_release_tagv3.0.0
releases_from_tags
days_since_latest_release0
mean_days_between_releases5.2
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?

96优秀 · 占总体的 18%
评分方式
60/60星标 — 25,959 个星标
25/25复刻 — 2,941 个复刻
12.2/15关注者 — 160 位关注者
所用输入
forks2,941
stars25,959
watchers160
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(Apache-2.0)
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
has_contributing
has_issue_template
has_code_of_conduct
has_pull_request_template
评分方式
80/80月度下载量 — pypi 合计每月 1,022,672 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
packageshaystack-ai
dependents
ecosystemspypi
total_downloads
monthly_downloads1,022,672
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?

92优秀 · 占总体的 24%
评分方式
51.3/54巴士系数 — 7 位贡献者贡献了半数提交
20/22.5提交分布 — 头号贡献者编写了 11% 的提交
13.5/13.5贡献者广度 — 100 位贡献者
10/10OpenSSF Scorecard:Contributors — project has 12 contributing companies or organizations
所用输入
bus_factor7
contributors_sampled100
top_contributor_share0.112
评分方式
46/46.8议题解决 — 98% 的议题已关闭
33.4/38.3PR 接受 — 已裁定的 PR 中 5,694/6,519 已合并
15/15OpenSSF Scorecard:Code-Review — all changesets reviewed
所用输入
merged_prs5,694
open_issues74
closed_issues4,335
issue_closed_ratio0.983
closed_unmerged_prs825
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
22.5/25所有者影响力 — deepset-ai 有 1,367 位关注者
25/25既往记录 — 74 个公开仓库,账户约 7 年
所用输入
followers1,367
owner_typeOrganization
is_verified
owner_logindeepset-ai
public_repos74
account_age_days2,593
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 0 天前
20/20版本历史 — 166 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
packageshaystack-ai
ecosystemspypi
any_deprecated
min_days_since_publish0

工程质量

基础的工程与文档实践是否到位?

82良好 · 占总体的 20%

工程实践

94优秀
评分方式
24/24CI 工作流 — 33 个工作流
24/24存在测试
16/16Linter 配置
9.6/9.6Pre-commit 钩子
0/6.4.editorconfig
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
has_tests
has_editorconfig
has_linter_config
has_precommit_config

文档

65中等
评分方式
30/30README
0/25文档目录
15/15文档 / 主页站点 — https://haystack.deepset.ai
10/10仓库描述
10/10主题标签 — 20 个主题标签
0/10Wiki
所用输入
topicsnlp, question-answering, pytorch, semantic-search, information-retrieval, summarization, transformers, machine-learning, ai, python, large-language-models, generative-ai, llm, rag, retrieval-augmented-generation, agents, agent, gemini, gpt-4, orchestration
has_wiki
homepagehttps://haystack.deepset.ai
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?

94优秀 · 占总体的 16%

安全态势

94优秀
评分方式
7.5/7.5Binary-Artifacts — no binaries found in the repo
6/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
1.2/2.5CII-Best-Practices — badge detected: Passing
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 12 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
5/5Fuzzing — project is fuzzed
2.5/2.5许可证 — license file detected
7.5/7.5Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
4/5SAST — SAST tool detected but not run on all commits
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — 无数据
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
所用输入
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate9.4
已排除计分(无数据或不适用):signed_releases。 其余权重已重新归一化。

AI 就绪度

该仓库在多大程度上具备与 AI 编码代理协同开发与维护的条件?这是一枚独立的实验性徽章——权重为 0.0,因此单独呈现,不影响总体健康评分。

72良好 · 占总体的 0%
评分方式
45/45代理指令 — AGENTS.md, CLAUDE.md
0/15机器可读文档(llms.txt)
0/40可读的提交历史 — 无数据
所用输入
has_llms_txt
legible_history_share
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes1,480
已排除计分(无数据或不适用):可读的提交历史。 其余权重已重新归一化。
评分方式
0/18一条命令的引导启动
22/22自动化测试
11/11Lint / 格式化配置
11/11静态类型检查 — docs-website/api/tsconfig.json, haystack/py.typed
10/10可复现环境 — Dockerfile
0/10已体现的代理实践 — 无数据
5/8自动化维护 — 已配置依赖自动化,但在抽样提交中未观察到
5/10OpenSSF Scorecard:Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
所用输入
has_nix
has_tests
lockfiles
has_dockerfile
typed_language
bootstrap_files
has_devcontainer
has_linter_config
typecheck_configsdocs-website/api/tsconfig.json, haystack/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
已排除计分(无数据或不适用):已体现的代理实践。 其余权重已重新归一化。
评分方式
27/45可类型检查的代码 — Python,已配置类型检查(docs-website/api/tsconfig.json, haystack/py.typed)
54.2/55可控的文件大小 — 采样的 549 个源文件中有 8 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes249,780
source_files_sampled549
oversized_source_files8
评分方式
0/40API 模式(OpenAPI/GraphQL/proto)
20/20MCP 服务器
40/40可运行示例 — examples, samples
所用输入
example_dirsexamples, samples
has_mcp_signal
api_schema_files

关键数据

25,959GitHub 星标
100贡献者
1,620最近 12 个月提交数
0距最近推送天数
100发布版本数
7巴士系数(bus factor)
74开放议题
npm, PyPI软件包生态系统数

数据采集警告

  • deps.dev does not index pypi:haystack-ai@3.0.0; advisories assessed against the repository dependency graph instead
  • No resolved dependencies carried a version and a supported ecosystem

更多细节

OpenSSF Scorecard 9.4 / 10
9.4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 · 2026-07-21 02:31 UTC

10Binary-Artifactsno binaries found in the repo
8Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
5CII-Best-Practicesbadge detected: Passing
10Code-Reviewall changesets reviewed
10Contributorsproject has 12 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
10Fuzzingproject is fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
8SASTSAST tool detected but not run on all commits
10Security-Policysecurity policy file detected
不适用Signed-Releasesno releases found
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
直接依赖 35
注册表软件包版本约束清单文件
npm@docusaurus/core^3.10.0docs-website/package.json
npm@docusaurus/faster^3.10.0docs-website/package.json
npm@docusaurus/plugin-content-docs^3.10.0docs-website/package.json
npm@docusaurus/plugin-ideal-image^3.10.0docs-website/package.json
npm@docusaurus/plugin-client-redirects^3.10.0docs-website/package.json
npm@docusaurus/preset-classic^3.10.0docs-website/package.json
npm@mdx-js/react^3.0.0docs-website/package.json
npm@types/turndown^5.0.6docs-website/package.json
npm@vercel/node^5.5.6docs-website/package.json
npmclsx^2.0.0docs-website/package.json
npmdocusaurus-plugin-generate-llms-txt^0.0.1docs-website/package.json
npmprism-react-renderer^2.3.0docs-website/package.json
npmreact^19.0.0docs-website/package.json
npmreact-dom^19.0.0docs-website/package.json
npmsharp^0.35.0docs-website/package.json
npmturndown^7.2.2docs-website/package.json
npmvercel^56.1.0docs-website/package.json
PyPItqdmpyproject.toml
PyPItenacity!=8.4.0pyproject.toml
PyPIlazy-importspyproject.toml
PyPIopenai>=1.99.2pyproject.toml
PyPIpydanticpyproject.toml
PyPIJinja2pyproject.toml
PyPIMarkupSafepyproject.toml
PyPIposthog!=3.12.0pyproject.toml
PyPIpyyamlpyproject.toml
PyPImore-itertoolspyproject.toml
PyPInetworkxpyproject.toml
PyPItyping_extensions>=4.7pyproject.toml
PyPIhttpxpyproject.toml
PyPInumpypyproject.toml
PyPIpython-dateutilpyproject.toml
PyPIjsonschemapyproject.toml
PyPIdocstring-parserpyproject.toml
PyPIfiletypepyproject.toml
全部依赖 24

来自 GitHub 依赖图的完整解析依赖集合:21 个直接依赖与 3 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@docusaurus/core^3.10.0直接
npm@docusaurus/faster^3.10.0直接
npm@docusaurus/plugin-client-redirects^3.10.0直接
npm@docusaurus/plugin-content-docs^3.10.0直接
npm@docusaurus/plugin-ideal-image^3.10.0直接
npm@docusaurus/preset-classic^3.10.0直接
npm@mdx-js/react^3.0.0直接
npm@types/turndown^5.0.6直接
npm@vercel/node^5.5.6直接
npmclsx^2.0.0直接
npmdocusaurus-plugin-generate-llms-txt^0.0.1直接
npmprism-react-renderer^2.3.0直接
npmreact^19.0.0直接
npmreact-dom^19.0.0直接
npmsharp^0.35.0直接
npmturndown^7.2.2直接
npmvercel^56.1.0直接
PyPIopenai直接
PyPIposthog直接
PyPItenacity直接
PyPItyping-extensions直接
npm@docusaurus/module-type-aliases^3.10.0间接
npm@docusaurus/types^3.10.0间接
PyPIhatchling间接
依赖安全公告 未评估

本报告未能完成公告比对:No resolved dependencies carried a version and a supported ecosystem

原始 JSON 报告 机器可读
{
  "data": {
    "repo": {
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      "is_fork": false,
      "size_kb": 203913,
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      "languages": {
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      "pushed_at": "2026-07-20T16:37:18Z",
      "created_at": "2019-11-14T09:05:28Z",
      "owner_type": "Organization",
      "updated_at": "2026-07-21T02:10:37Z",
      "description": "Open-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.",
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    "license": {
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      "spdx_id": "Apache-2.0",
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      "file_present": true,
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    },
    "activity": {
      "releases_count": 100,
      "commits_last_year": 1620,
      "latest_release_at": "2026-07-20T12:07:08Z",
      "latest_release_tag": "v3.0.0",
      "releases_from_tags": false,
      "days_since_last_push": 0,
      "active_weeks_last_year": 52,
      "days_since_latest_release": 0,
      "mean_days_between_releases": 5.2
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    "community": {
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      "health_percentage": 100,
      "has_issue_template": false,
      "has_code_of_conduct": true,
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    "ecosystem": {
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            "Programming Language :: Python :: 3.12",
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            "Topic :: Scientific/Engineering :: Artificial Intelligence"
          ],
          "ecosystem": "pypi",
          "matches_repo": true,
          "registry_url": "https://pypi.org/project/haystack-ai/",
          "is_deprecated": false,
          "latest_version": "3.0.0",
          "repository_url": "https://github.com/deepset-ai/haystack",
          "versions_count": 166,
          "total_downloads": null,
          "dependents_count": null,
          "deprecation_note": null,
          "maintainers_count": null,
          "monthly_downloads": 1022672,
          "first_published_at": "2023-11-24T16:43:38.441779Z",
          "latest_published_at": "2026-07-20T12:07:00.615123Z",
          "latest_version_yanked": null,
          "days_since_latest_publish": 0
        }
      ]
    },
    "popularity": {
      "forks": 2941,
      "stars": 25959,
      "watchers": 160,
      "open_issues_and_prs": 112
    },
    "ai_readiness": {
      "has_nix": false,
      "example_dirs": [
        "examples",
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      ],
      "has_llms_txt": false,
      "has_dockerfile": true,
      "has_mcp_signal": true,
      "bootstrap_files": [],
      "api_schema_files": [],
      "has_devcontainer": false,
      "typecheck_configs": [
        "docs-website/api/tsconfig.json",
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      "largest_source_bytes": 249780,
      "source_files_sampled": 549,
      "oversized_source_files": 8,
      "agent_instruction_files": [
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      "agent_instruction_max_bytes": 1480
    },
    "dependencies": {
      "manifests": [
        "docs-website/package.json",
        "pyproject.toml"
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      "advisories": {
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                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "GitHub workflow tokens follow principle of least privilege",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 14
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "good",
        "name": "AI Readiness",
        "value": 72,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "good",
            "name": "Agent context & guidance",
            "note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "legible_commit_history"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 75,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "agent_instruction_files": [
                "AGENTS.md",
                "CLAUDE.md"
              ],
              "agent_instruction_max_bytes": 1480
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "AGENTS.md, CLAUDE.md",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "AGENTS.md, CLAUDE.md"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 71,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "docs-website/api/tsconfig.json",
                "haystack/py.typed"
              ],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "docs-website/api/tsconfig.json, haystack/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "docs-website/api/tsconfig.json, haystack/py.typed"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Dockerfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "dependency automation configured, none observed in the sampled commits",
                "points": 5,
                "status": "partial",
                "details": [
                  {
                    "code": "dependency_bot_config_only",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 5",
                "points": 5,
                "status": "partial",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 81,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 249780,
              "source_files_sampled": 549,
              "oversized_source_files": 8
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (docs-website/api/tsconfig.json, haystack/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "docs-website/api/tsconfig.json, haystack/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "8/549 source files over 60KB",
                "points": 54.2,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 549,
                      "oversized": 8
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "moderate",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 60,
            "inputs": {
              "example_dirs": [
                "examples",
                "samples"
              ],
              "has_mcp_signal": true,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples, samples",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples, samples"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "deps.dev does not index pypi:haystack-ai@3.0.0; advisories assessed against the repository dependency graph instead",
    "No resolved dependencies carried a version and a supported ecosystem"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-21T02:32:10.344140Z",
  "schema_version": "0.16.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/d/deepset-ai/haystack.svg",
  "full_name": "deepset-ai/haystack",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

评分是信号,而非担保。 评分反映的是 GitHub 上公开可见的实践——不是代码审计,也不是安全保证。

缺失数据将被剔除并重新归一化权重,绝不按零分计。方法论已版本化并公开:指标 v1.13.0、模式 v0.16.0—— 完整方法论 · 指标知识库.

单项结果在整体记录中的位置: 汇总统计PyPI.