公开记录
软件健康报告模式 0.27.0 · 指标 1.13.0 · 2026-07-30 08:25 UTC

holoviz / lumen

Illuminate your data. Agent framework turning natural language into SQL, charts, dashboards and reports.

PythonBSD-3-Clause★ 300 星标⑂ 36 复刻始于 2020年5月在 GitHub 上查看 ↗

holoviz/lumen 的健康指数为 100 分中的 80 分,处于「良好」区间。 其得分最高的类别是Engineering Quality(96/100),最低的是AI Readiness(57/100)。 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。

80
总分 / 100
良好

软件健康指数

指标归入加权类别,统一采用 1–100 量表。总体分先取类别加权平均;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。

80
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

HoloViz组织
447 关注者15 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
PyPIlumen1.3.0-2050 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?

89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
29.1/36提交节奏 — 52 周中有 42 周有提交
18/18提交量 — 最近一年 395 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_year395
human_commit_share1
days_since_last_push0
active_weeks_last_year42

发布纪律

83良好
评分方式
27/27有发布版本 — 已发布 18 个发布版本
36/36发布时效 — 最近一次发布版本于 0 天前
19.8/27发布节奏 — 约每 111.1 天发布一次
0/10OpenSSF Scorecard:Signed-Releases — Project has not signed or included provenance with any releases.
所用输入
releases_count18
latest_release_tagv1.3.0
releases_from_tags
days_since_latest_release0
mean_days_between_releases111.1

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?

67中等 · 占总体的 18%
评分方式
40.2/60星标 — 300 个星标
12.9/25复刻 — 36 个复刻
5/15关注者 — 9 位关注者
所用输入
forks36
stars300
watchers9
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

77良好
评分方式
22.5/22.5README
22.5/22.5许可证 — 可识别的许可证(BSD-3-Clause)
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
has_contributing
has_issue_template
has_code_of_conduct
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?

75良好 · 占总体的 24%
评分方式
25.2/54巴士系数 — 2 位贡献者贡献了半数提交
11.8/22.5提交分布 — 头号贡献者编写了 48% 的提交
13.5/13.5贡献者广度 — 25 位贡献者
10/10OpenSSF Scorecard:Contributors — project has 11 contributing companies or organizations
所用输入
bus_factor2
contributors_sampled25
top_contributor_share0.477
评分方式
29.6/46.8议题解决 — 63% 的议题已关闭
35.3/38.3PR 接受 — 已裁定的 PR 中 1,397/1,515 已合并
13.5/15OpenSSF Scorecard:Code-Review — Found 29/30 approved changesets -- score normalized to 9
所用输入
merged_prs1,397
open_issues163
closed_issues281
issue_closed_ratio0.633
closed_unmerged_prs118
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
19.1/25所有者影响力 — holoviz 有 447 位关注者
20.8/25既往记录 — 15 个公开仓库,账户约 7 年
所用输入
followers447
owner_typeOrganization
is_verified
owner_loginholoviz
public_repos15
account_age_days2,606
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 — 205 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
packageslumen
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?

96优秀 · 占总体的 20%

工程实践

94优秀
评分方式
24/24CI 工作流 — 7 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

100优秀
评分方式
30/30README
25/25文档目录
15/15文档 / 主页站点 — https://lumen.holoviz.org
10/10仓库描述
10/10主题标签 — 12 个主题标签
10/10Wiki
所用输入
topicsai-agents, conversational-ai, data-exploration, data-visualization, duckdb, holoviz, llm, panel, python, text-to-sql, xarray, rag
has_wiki
homepagehttps://lumen.holoviz.org
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?

71良好 · 占总体的 16%

安全态势

71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
6.8/7.5Code-Review — Found 29/30 approved changesets -- score normalized to 9
2.5/2.5Contributors — project has 11 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5许可证 — license file detected
7.5/7.5Maintained — 30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
5/5Pinned-Dependencies — all dependencies are pinned
5/5SAST — SAST tool is run on all commits
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
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_aggregate7.1
已排除计分(无数据或不适用):branch_protection。 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。

57中等 · 占总体的 0%
评分方式
45/45代理指令 — docs/configuration/agents.md, docs/reference/api/ai/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 95 次说明了意图(结构化标题或解释性正文)
所用输入
has_llms_txt
legible_history_share0.95
agent_instruction_filesdocs/configuration/agents.md, docs/reference/api/ai/agents.md
agent_instruction_max_bytes15,454
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
0/11静态类型检查
0/10可复现环境
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
0/8自动化维护 — 未观察到自动依赖更新
10/10OpenSSF Scorecard:Pinned-Dependencies — all dependencies are pinned
所用输入
has_nix
has_tests
lockfiles
has_dockerfile
typed_language
bootstrap_files
has_devcontainer
has_linter_config
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
评分方式
0/45可类型检查的代码 — Python,未配置类型检查
53.2/55可控的文件大小 — 采样的 212 个源文件中有 7 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes119,713
source_files_sampled212
oversized_source_files7

机器可读接口

40存在风险
评分方式
0/40API 模式(OpenAPI/GraphQL/proto)
0/20MCP 服务器
40/40可运行示例 — examples
所用输入
example_dirsexamples
has_mcp_signal
api_schema_files

关键数据

300GitHub 星标
25贡献者
395最近 12 个月提交数
0距最近推送天数
18发布版本数
2巴士系数(bus factor)
163开放议题
PyPI软件包生态系统数

数据采集警告

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:lumen@1.3.0; advisories assessed against the repository dependency graph instead
  • No resolved dependencies carried a version and a supported ecosystem

更多细节

Star 与 Fork 历史 0 ★ / 36 ⇿
0Star
36Fork
16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。

01325383642020-122023-092026-07
主版本 1次版本 10修订 5

每个点涵盖 6 天。

OpenSSF Scorecard 7.1 / 10
7.1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 · 2026-07-30 08:24 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
9Code-ReviewFound 29/30 approved changesets -- score normalized to 9
10Contributorsproject has 11 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
10Pinned-Dependenciesall dependencies are pinned
10SASTSAST tool is run on all commits
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
直接依赖 28
注册表软件包版本约束清单文件
PyPIbokehpyproject.toml
PyPIchardetpyproject.toml
PyPIduckdb>=1.2.0pyproject.toml
PyPIlxmlpyproject.toml
PyPIgriffepyproject.toml
PyPIholoviews>=1.17.0pyproject.toml
PyPIhvplotpyproject.toml
PyPIinstructor>=1.14.3pyproject.toml
PyPIintake<2pyproject.toml
PyPIjinja2>3.0pyproject.toml
PyPImarkitdownpyproject.toml
PyPInbformatpyproject.toml
PyPInumpypyproject.toml
PyPIpackagingpyproject.toml
PyPIpandaspyproject.toml
PyPIpanel>=1.7.5pyproject.toml
PyPIpanel-graphic-walker>=0.6.4pyproject.toml
PyPIpanel-material-ui>=0.14.0pyproject.toml
PyPIpanel-splitjs>=0.4.0pyproject.toml
PyPIparam>=2.2.1pyproject.toml
PyPIpyarrowpyproject.toml
PyPIpydantic>=2.8.0pyproject.toml
PyPIpydantic-extra-typespyproject.toml
PyPIsemchunkpyproject.toml
PyPIsqlglotpyproject.toml
PyPItabulatepyproject.toml
PyPItiktokenpyproject.toml
PyPIvl-convert-pythonpyproject.toml
全部依赖 17

来自 GitHub 依赖图的完整解析依赖集合:11 个直接依赖与 6 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
PyPIduckdb直接
PyPIholoviews直接
PyPIinstructor直接
PyPIintake直接
PyPIjinja2直接
PyPIpanel直接
PyPIpanel-graphic-walker直接
PyPIpanel-material-ui直接
PyPIpanel-splitjs直接
PyPIparam直接
PyPIpydantic直接
PyPIboto3间接
PyPIgoogle-genai间接
PyPIllama-cpp-python间接
PyPIsentence-transformers间接
PyPItransformers间接
PyPIxarray-sql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
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 71,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 17,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 1,
              "scorecard_aggregate": 7.1
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "internal 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",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 29/30 approved changesets -- score normalized to 9",
                "points": 6.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 11 contributing companies or organizations",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "no update tool detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 17 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "all dependencies are pinned",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is run on all commits",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "Project has not signed or included provenance with any releases.",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "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": 10
            },
            "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": "moderate",
        "name": "AI Readiness",
        "value": 57,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "excellent",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 85,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.95,
              "agent_instruction_files": [
                "docs/configuration/agents.md",
                "docs/reference/api/ai/agents.md"
              ],
              "agent_instruction_max_bytes": 15454
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "docs/configuration/agents.md, docs/reference/api/ai/agents.md",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "docs/configuration/agents.md, docs/reference/api/ai/agents.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": "95 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 95,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "at_risk",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 43,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [],
              "agent_commit_share": 0,
              "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": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no agent-authored commits among the last 100",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_authored_commits",
                    "params": {
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "all dependencies are pinned",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 53,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 119713,
              "source_files_sampled": 212,
              "oversized_source_files": 7
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "7/212 source files over 60KB",
                "points": 53.2,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 212,
                      "oversized": 7
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "examples"
              ],
              "has_mcp_signal": false,
              "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": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples"
                    }
                  }
                ],
                "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": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "deps.dev does not index pypi:lumen@1.3.0; advisories assessed against the repository dependency graph instead",
    "No resolved dependencies carried a version and a supported ecosystem"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-30T08:25:29.022690Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/h/holoviz/lumen.svg",
  "full_name": "holoviz/lumen",
  "license_state": "standard",
  "license_spdx": "BSD-3-Clause"
}

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 v0.27.0—— 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.