公开记录
软件健康报告模式 0.27.0 · 指标 1.13.0 · 2026-07-25 17:27 UTC

ibis-project / ibis-ml

IbisML is a library for building scalable ML pipelines using Ibis.

PythonApache-2.0★ 120 星标⑂ 15 复刻始于 2023年1月在 GitHub 上查看 ↗
#feature-engineering#machine-learning#sql#ibis

ibis-project/ibis-ml 的健康指数为 100 分中的 59 分，处于「中等」区间。 其得分最高的类别是Engineering Quality（82/100），最低的是Vitality（33/100）。 最近一次更新在 363 天前。 近期的大部分工作由 2 位贡献者完成。

59
总分 / 100
中等

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。

59
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

Ibis Project组织
306 关注者24 个公开仓库始于 2017年4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
PyPIibis-ml0.1.4-5373 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？

33存在风险 · 占总体的 22%

开发活跃度

7危急
评分方式
3.6/36推送新近度 — 最近一次推送于 363 天前
0.7/36提交节奏 — 52 周中有 1 周有提交
2.7/18提交量 — 最近一年 1 次提交
0/10OpenSSF Scorecard：Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
所用输入
commits_last_year1
human_commit_share1
days_since_last_push363
active_weeks_last_year1

发布纪律

71良好
评分方式
27/27有发布版本 — 已发布 5 个发布版本
16.2/36发布时效 — 最近一次发布版本于 363 天前
19.8/27发布节奏 — 约每 107.1 天发布一次
8/10OpenSSF Scorecard：Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
所用输入
releases_count5
latest_release_tagv0.1.4
releases_from_tags否
days_since_latest_release363
mean_days_between_releases107.1

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？

49存在风险 · 占总体的 18%

流行度与采用

48存在风险
评分方式
33.7/60星标 — 120 个星标
9.6/25复刻 — 15 个复刻
5/15关注者 — 9 位关注者
所用输入
forks15
stars120
watchers9
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

社区健康

50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
0/6.3PR 模板
所用输入
has_readme是
has_license是
has_contributing否
has_issue_template否
has_code_of_conduct否
has_pull_request_template否

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？

70良好 · 占总体的 24%

维护者韧性（巴士系数）

59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
11.7/22.5提交分布 — 头号贡献者编写了 48% 的提交
12.2/13.5贡献者广度 — 9 位贡献者
10/10OpenSSF Scorecard：Contributors — project has 15 contributing companies or organizations
所用输入
bus_factor2
contributors_sampled9
top_contributor_share0.478

议题与 PR 响应能力

76良好
评分方式
29.6/46.8议题解决 — 63% 的议题已关闭
35.7/38.3PR 接受 — 已裁定的 PR 中 98/105 已合并
10.5/15OpenSSF Scorecard：Code-Review — Found 16/22 approved changesets -- score normalized to 7
所用输入
merged_prs98
open_issues29
closed_issues50
issue_closed_ratio0.633
closed_unmerged_prs7

所有权与托管责任

70良好
评分方式
30/30所有权背书 — 组织持有
0/20已验证域名
17.9/25所有者影响力 — ibis-project 有 306 位关注者
22.2/25既往记录 — 24 个公开仓库，账户约 9 年
所用输入
followers306
owner_typeOrganization
is_verified—
owner_loginibis-project
public_repos24
account_age_days3,389

软件包维护

79良好
评分方式
25/25已发布且可解析 — pypi 上有 1 个软件包
14/35发布时效 — 最近一次发布于 373 天前
20/20版本历史 — 5 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
packagesibis-ml
ecosystemspypi
any_deprecated否
min_days_since_publish373

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

76良好
评分方式
24/24CI 工作流 — 3 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
2/20OpenSSF Scorecard：CI-Tests — 2 out of 18 merged PRs checked by a CI test -- score normalized to 1
所用输入
has_ci是
has_tests是
has_editorconfig否
has_linter_config是
has_precommit_config是

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://ibis-project.github.io/ibis-ml/
10/10仓库描述
10/10主题标签 — 4 个主题标签
0/10Wiki
所用输入
topicsfeature-engineering, machine-learning, sql, ibis
has_wiki否
homepagehttps://ibis-project.github.io/ibis-ml/
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

48存在风险
评分方式
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
0.2/2.5CI-Tests — 2 out of 18 merged PRs checked by a CI test -- score normalized to 1
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
5.2/7.5Code-Review — Found 16/22 approved changesets -- score normalized to 7
2.5/2.5Contributors — project has 15 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
0/7.5Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
6/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
所用输入
sourceopenssf_scorecard
checks_evaluated18
scorecard_versionv5.5.0
checks_inconclusive0
scorecard_aggregate4.8

依赖安全公告

100优秀
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_packages9
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:ibis-ml@0.1.4 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 9 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？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。

39存在风险 · 占总体的 0%

AI 代理上下文与指引

40存在风险
评分方式
0/45代理指令 — 没有 CLAUDE.md / AGENTS.md / 编辑器规则
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—
agent_instruction_max_bytes—

验证循环（构建 / 测试 / 类型检查）

33存在风险
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
0/10OpenSSF Scorecard：Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
所用输入
has_nix否
has_tests是
lockfiles—
has_dockerfile否
typed_language否
bootstrap_files—
has_devcontainer否
has_linter_config是
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

面向模型的代码可读性

55中等
评分方式
0/45可类型检查的代码 — Python，未配置类型检查
55/55可控的文件大小 — 采样的 34 个源文件中有 0 个超过 60KB
所用输入
primary_languagePython
largest_source_bytes29,891
source_files_sampled34
oversized_source_files0

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, notebooks
所用输入
example_dirsexamples, notebooks
has_mcp_signal否
api_schema_files—

关键数据

120GitHub 星标
9贡献者
1最近 12 个月提交数
363距最近推送天数
5发布版本数
2巴士系数（bus factor）
29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

更多细节

Star 与 Fork 历史 0 ★ / 15 ⇿
0Star
15Fork
5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。

03581013151512023-082024-102025-12
主版本 0次版本 1修订 4

每个点涵盖 3 天。

OpenSSF Scorecard 4.8 / 10
4.8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 · 2026-07-25 17:27 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
1CI-Tests2 out of 18 merged PRs checked by a CI test -- score normalized to 1
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
7Code-ReviewFound 16/22 approved changesets -- score normalized to 7
10Contributorsproject has 15 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
0Maintained0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
8Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
直接依赖 1
注册表软件包版本约束清单文件
PyPIibis-framework—pyproject.toml
全部依赖 1

来自 GitHub 依赖图的完整解析依赖集合：1 个直接依赖与 0 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
PyPIibis-framework—直接
依赖安全公告 0

安装 pypi:ibis-ml@0.1.4 会引入 9 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。

原始 JSON 报告 机器可读
{
  "data": {
    "repo": {
      "topics": [
        "feature-engineering",
        "machine-learning",
        "sql",
        "ibis"
      ],
      "is_fork": false,
      "size_kb": 2748,
      "has_wiki": false,
      "homepage": "https://ibis-project.github.io/ibis-ml/",
      "languages": {
        "Python": 155287
      },
      "pushed_at": "2025-07-27T16:20:38Z",
      "created_at": "2023-01-13T17:51:53Z",
      "owner_type": "Organization",
      "updated_at": "2026-07-10T18:09:24Z",
      "description": "IbisML is a library for building scalable ML pipelines using Ibis.",
      "is_archived": false,
      "is_disabled": false,
      "license_spdx": "Apache-2.0",
      "default_branch": "main",
      "license_spdx_raw": "Apache-2.0",
      "primary_language": "Python",
      "significant_languages": [
        "Python"
      ]
    },
    "owner": {
      "blog": "https://ibis-project.org",
      "name": "Ibis Project",
      "type": "Organization",
      "login": "ibis-project",
      "company": null,
      "location": null,
      "followers": 306,
      "avatar_url": "https://avatars.githubusercontent.com/u/27442526?v=4",
      "created_at": "2017-04-13T18:19:08Z",
      "is_verified": null,
      "public_repos": 24,
      "account_age_days": 3389
    },
    "license": {
      "state": "standard",
      "spdx_id": "Apache-2.0",
      "raw_spdx": "Apache-2.0",
      "file_present": true,
      "scorecard_found": true,
      "profile_has_license": true
    },
    "activity": {
      "releases": [
        {
          "tag": "v0.1.4",
          "kind": "patch",
          "published_at": "2025-07-27T16:15:57Z"
        },
        {
          "tag": "v0.1.3",
          "kind": "patch",
          "published_at": "2024-09-16T17:45:26Z"
        },
        {
          "tag": "v0.1.2",
          "kind": "patch",
          "published_at": "2024-07-24T15:00:19Z"
        },
        {
          "tag": "v0.1.1",
          "kind": "patch",
          "published_at": "2024-07-23T17:45:41Z"
        },
        {
          "tag": "v0.1.0",
          "kind": "minor",
          "published_at": "2024-05-25T05:54:09Z"
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      "recent_commits": [
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                "status": "partial",
                "details": [
                  {
                    "code": "issues_closed_share",
                    "params": {
                      "share": 63
                    }
                  }
                ],
                "max_points": 46.75
              },
              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
                "detail": "98/105 decided PRs merged",
                "points": 35.7,
                "status": "partial",
                "details": [
                  {
                    "code": "decided_prs_merged",
                    "params": {
                      "merged": 98,
                      "decided": 105
                    }
                  }
                ],
                "max_points": 38.25
              },
              {
                "key": "openssf_scorecard_code_review",
                "name": "OpenSSF Scorecard: Code-Review",
                "detail": "Found 16/22 approved changesets -- score normalized to 7",
                "points": 10.5,
                "status": "partial",
                "details": [],
                "max_points": 15
              }
            ]
          },
          {
            "key": "stewardship",
            "band": "good",
            "name": "Ownership & stewardship",
            "note": null,
            "notes": [],
            "value": 70,
            "inputs": {
              "followers": 306,
              "owner_type": "Organization",
              "is_verified": null,
              "owner_login": "ibis-project",
              "public_repos": 24,
              "account_age_days": 3389
            },
            "components": [
              {
                "key": "ownership_backing",
                "name": "Ownership backing",
                "detail": "organization-owned",
                "points": 30,
                "status": "met",
                "details": [
                  {
                    "code": "owner_organization",
                    "params": {}
                  }
                ],
                "max_points": 30
              },
              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "306 followers of ibis-project",
                "points": 17.9,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_followers",
                    "params": {
                      "count": 306,
                      "login": "ibis-project"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "24 public repos, account ~9 yr old",
                "points": 22.2,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 24
                    }
                  },
                  {
                    "code": "account_age_years",
                    "params": {
                      "years": 9
                    }
                  }
                ],
                "max_points": 25
              }
            ]
          },
          {
            "key": "package_maintenance",
            "band": "good",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 79,
            "inputs": {
              "packages": [
                "ibis-ml"
              ],
              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 373
            },
            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on pypi",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "packages_published",
                    "params": {
                      "count": 1,
                      "ecosystems": "pypi"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 373 days ago",
                "points": 14,
                "status": "partial",
                "details": [
                  {
                    "code": "publish_recency",
                    "params": {
                      "days": 373
                    }
                  }
                ],
                "max_points": 35
              },
              {
                "key": "version_history",
                "name": "Version history",
                "detail": "5 published versions",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "published_versions",
                    "params": {
                      "count": 5
                    }
                  }
                ],
                "max_points": 20
              },
              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "package_not_deprecated",
                    "params": {}
                  }
                ],
                "max_points": 20
              }
            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "good",
        "name": "Engineering Quality",
        "value": 82,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "good",
            "name": "Engineering practices",
            "note": null,
            "notes": [],
            "value": 76,
            "inputs": {
              "has_ci": true,
              "has_tests": true,
              "has_editorconfig": false,
              "has_linter_config": true,
              "has_precommit_config": true
            },
            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "3 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 3
                    }
                  }
                ],
                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
                "detail": null,
                "points": 16,
                "status": "met",
                "details": [],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 9.6,
                "status": "met",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "2 out of 18 merged PRs checked by a CI test -- score normalized to 1",
                "points": 2,
                "status": "partial",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 90,
            "inputs": {
              "topics": [
                "feature-engineering",
                "machine-learning",
                "sql",
                "ibis"
              ],
              "has_wiki": false,
              "homepage": "https://ibis-project.github.io/ibis-ml/",
              "has_readme": true,
              "has_docs_dir": true,
              "has_description": true
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": "https://ibis-project.github.io/ibis-ml/",
                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": "4 topics",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "topics_count",
                    "params": {
                      "count": 4
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
        "value": 58,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "at_risk",
            "name": "Security posture",
            "note": null,
            "notes": [],
            "value": 48,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 18,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 0,
              "scorecard_aggregate": 4.8
            },
            "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": "branch protection is not maximal on development and all release branches",
                "points": 3.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "2 out of 18 merged PRs checked by a CI test -- score normalized to 1",
                "points": 0.2,
                "status": "partial",
                "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 16/22 approved changesets -- score normalized to 7",
                "points": 5.2,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 15 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": "0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "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": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "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": "5 out of the last 5 releases have a total of 5 signed artifacts.",
                "points": 6,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "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": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:ibis-ml@0.1.4 runtime dependency closure — what installing the published package pulls in — 9 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:ibis-ml@0.1.4",
                  "assessed": 9
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 9,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 9,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "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": "at_risk",
        "name": "AI Readiness",
        "value": 39,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 1,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
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                    "code": "no_agent_instructions",
                    "params": {}
                  }
                ],
                "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": "100 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 100,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "at_risk",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 33,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
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              "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": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 29891,
              "source_files_sampled": 34,
              "oversized_source_files": 0
            },
            "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": "0/34 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 34,
                      "oversized": 0
                    }
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        ],
        "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."
      }
    ],
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  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
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  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/i/ibis-project/ibis-ml.svg",
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}

相关记录

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

87marimo-team/marimoA reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.优秀95onnx/onnxOpen standard for machine learning interoperability优秀95scikit-learn/scikit-learnscikit-learn: machine learning in Python优秀94wandb/wandbThe AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.优秀93optuna/optunaA hyperparameter optimization framework优秀93deepset-ai/haystackOpen-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.优秀

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.