Public record
Software health reportschema 0.12.0 · metrics 1.13.0 · 2026-07-17 20:06 UTC

acts-project / acts

Experiment-independent toolkit for (charged) particle track reconstruction in (high energy) physics experiments implemented in modern C++

C++MPL-2.0★ 126 stars⑂ 264 forkssince Mar 2019View on GitHub ↗

acts-project/acts holds a health index of 77 out of 100, placing it in the Good band. It scores highest on Vitality (99/100) and lowest on Security (33/100). It was last updated today. 3 contributors account for most of its recent work.

77
overall / 100
Good

Software health index

Metrics are grouped into weighted categories on one standardized 1–100 scale. Overall starts as their weighted mean; when public evidence triggers the High-Risk Jurisdiction Policy, the rating is adjusted and receives an At risk ceiling of 49. AI Readiness sits outside the overall score.

77
Excellent85-100Exemplary; meets essentially all checked criteria
Good70-84Healthy; minor gaps
Moderate50-69Acceptable with notable gaps; review recommended
At risk30-49Significant weaknesses; adoption warrants caution
Critical1-29Severe problems (abandoned, single-maintainer, no hygiene)
VitalityCommunity &AdoptionSustainability &GovernanceEngineeringQualitySecurityAI Readiness

Score profile

Each axis is a category. The shape matters more than the average — a healthy subject fills the whole shape, while a spike-and-crater profile means strength in one dimension is masking risk in another.

Ownership

ActsOrganization
28 followers43 public repossince Mar 2019

This repository is backed by an organization — shared, accountable stewardship that can outlive any single maintainer.

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIcodegenpoints to another repo — not scored0.57.03,820231296 days agocode-generationcodebasecodebase-analysiscodebase-manipulationcodebase-transformationcodegenrefactoring
PyPIpyacts47.0.0945102 days ago

Metrics by category

Vitality

Is the project alive — is code being written and are releases shipping?

99Excellent · 22% of overall
How it's scored
36/36Push recency — last push 0 days ago
35.3/36Commit cadence — 51/52 weeks with commits
18/18Commit volume — 1,022 commits in the last year
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year1,022
human_commit_share
days_since_last_push0
active_weeks_last_year51

Release discipline

100Excellent
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 3 days ago
27/27Release cadence — a release every ~11.4 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tagv47.0.0
releases_from_tagsno
days_since_latest_release3
mean_days_between_releases11.4

Community & Adoption

Does the project have users, downloads, attention, and a welcoming setup for contributors?

72Good · 18% of overall
How it's scored
34/60Stars — 126 stars
20.2/25Forks — 264 forks
5.3/15Watchers — 10 watchers
Inputs used
forks264
stars126
watchers10
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Community health

100Excellent
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MPL-2.0)
18/18CONTRIBUTING guide
13.5/13.5Code of conduct
7.2/7.2Issue template
6.3/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingyes
has_issue_templateyes
has_code_of_conductyes
has_pull_request_templateyes
How it's scored
39.7/80Monthly downloads — 945 downloads/month across pypi
0/20Registry dependents — not reported by this ecosystem
Inputs used
packagespyacts
dependents
ecosystemspypi
total_downloads
monthly_downloads945
Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.

Sustainability & Governance

Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?

80Good · 24% of overall
How it's scored
36/54Bus factor — 3 contributor(s) cover half of all commits
16.8/22.5Commit distribution — top contributor authored 26% of commits
13.5/13.5Contributor breadth — 100 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor3
contributors_sampled100
top_contributor_share0.255
How it's scored
39.4/46.8Issue resolution — 84% of issues closed
33.8/38.3PR acceptance — 4,379/4,953 decided PRs merged
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs4,379
open_issues101
closed_issues537
issue_closed_ratio0.842
closed_unmerged_prs574
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
10.5/25Owner reach — 28 followers of acts-project
24/25Track record — 43 public repos, account ~7 yr old
Inputs used
followers28
owner_typeOrganization
is_verified
owner_loginacts-project
public_repos43
account_age_days2,683
How it's scored
25/25Published & resolvable — 1 package(s) on pypi
35/35Publish recency — latest publish 2 days ago
20/20Version history — 10 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagespyacts
ecosystemspypi
any_deprecatedno
min_days_since_publish2

Engineering Quality

Are baseline engineering and documentation practices in place?

91Excellent · 20% of overall
How it's scored
24/24CI workflows — 18 workflow(s)
24/24Tests present
16/16Linter config
9.6/9.6Pre-commit hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigno
has_linter_configyes
has_precommit_configyes

Documentation

90Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://acts-project.github.io
10/10Repository description
10/10Topics — 4 topics
0/10Wiki
Inputs used
topicsparticle-track-reconstruction, reconstruction, physics-experiment, simulation
has_wikino
homepagehttps://acts-project.github.io
has_readmeyes
has_docs_diryes
has_descriptionyes

Security

Are visible security and supply-chain practices strong, without unresolved high-risk jurisdiction exposure?

33At risk · 16% of overall
How it's scored
0/30Security policy (SECURITY.md)
25/25Dependabot config
0/25Dependency lockfiles — published library — lockfiles are an application concern, not expected
0/20CodeQL workflow
Inputs used
sourcefile_signals
lockfilesuv.lock
manifestscodegen/pyproject.toml, codegen/requirements.txt, pyproject.toml
has_codeql_workflowno
has_security_policyno
has_dependabot_configyes
Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.

AI Readiness

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.

60Moderate · 0% of overall
How it's scored
0/45Agent instructions — no CLAUDE.md / AGENTS.md / editor rules
0/15Machine-readable docs (llms.txt)
0/40Legible commit history — no data
Inputs used
has_llms_txtno
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.
How it's scored
18/18One-command bootstrap — Traccc/extras/root_to_csv/Makefile
22/22Automated tests
11/11Lint / format config
11/11Static type checking — C++ (statically typed)
10/10Reproducible environment — devcontainer, Dockerfile, lockfile
0/10Demonstrated agent practice — no data
5/8Automated maintenance — dependency automation configured, none observed in the sampled commits
0/10OpenSSF Scorecard: Pinned-Dependencies — no data
Inputs used
has_nixno
has_testsyes
lockfilesuv.lock
has_dockerfileyes
typed_languageyes
bootstrap_filesTraccc/extras/root_to_csv/Makefile
has_devcontaineryes
has_linter_configyes
typecheck_configs
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.
How it's scored
45/45Type-checkable code — C++ (statically typed)
54.9/55Manageable file sizes — 8/3,702 source files over 60KB
Inputs used
primary_languageC++
largest_source_bytes993,557
source_files_sampled3,702
oversized_source_files8
How it's scored
0/40API schema (OpenAPI/GraphQL/proto)
0/20MCP server
40/40Runnable examples — examples, notebooks
Inputs used
example_dirsexamples, notebooks
has_mcp_signalno
api_schema_files

Key facts

126GitHub stars
100contributors
1,022commits, last 12 months
0days since last push
100releases
3bus factor
101open issues
PyPIpackage ecosystems

Data collection warnings

  • pypi package 'codegen' points at a different repository (https://github.com/codegen-sh/codegen-sdk); excluded from ecosystem scoring
  • OpenSSF Scorecard did not return a usable result (Skipping github.com/acts-project/acts: run: RepoClient.LocalPath: error during tarballHandler.setup: internal error: handler.httpClient.Do: Get "https://codeload.github.com/acts-project/acts/legacy.tar.gz/refs/heads/main": internal error: innerTransport.RoundTrip: internal error: innerTransport.RoundTrip: error in HTTP: dial tcp: lookup codeload.github.com on 127.0.0.11:53: server misbehaving); skipping Scorecard checks

More detail

Direct dependencies 2
RegistryPackageVersion constraintManifest
PyPInumpycodegen/pyproject.toml
PyPIsympycodegen/pyproject.toml
All dependencies 177

Full resolved dependency set from the GitHub dependency graph: 10 direct and 167 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPInumpydirect
PyPInumpy2.0.0direct
PyPInumpy2.0.2direct
PyPInumpy2.3.1direct
PyPInumpy2.3.2direct
PyPInumpy2.3.3direct
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PyPInumpy2.5.1direct
PyPIsympydirect
PyPIsympy1.14.0direct
PyPIaiohappyeyeballs2.7.1indirect
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PyPIaiosignal1.4.0indirect
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PyPIannotated-doc0.0.4indirect
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PyPIdetray-sympy0.1.0indirect
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Raw JSON report machine-readable
{
  "data": {
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        "particle-track-reconstruction",
        "reconstruction",
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        "Shell": 81115,
        "Python": 1144819,
        "Haskell": 4044,
        "Makefile": 74,
        "Dockerfile": 258,
        "Linker Script": 957,
        "Jupyter Notebook": 308988
      },
      "pushed_at": "2026-07-17T19:17:58Z",
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                "max_points": 20
              }
            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "excellent",
        "name": "Engineering Quality",
        "value": 91,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "excellent",
            "name": "Engineering practices",
            "note": null,
            "notes": [],
            "value": 92,
            "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": "18 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 18
                    }
                  }
                ],
                "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": "OpenSSF Scorecard unavailable",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 90,
            "inputs": {
              "topics": [
                "particle-track-reconstruction",
                "reconstruction",
                "physics-experiment",
                "simulation"
              ],
              "has_wiki": false,
              "homepage": "https://acts-project.github.io",
              "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://acts-project.github.io",
                "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": "at_risk",
        "name": "Security",
        "value": 33,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "at_risk",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "dependency_lockfiles"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 33,
            "inputs": {
              "source": "file_signals",
              "lockfiles": [
                "uv.lock"
              ],
              "manifests": [
                "codegen/pyproject.toml",
                "codegen/requirements.txt",
                "pyproject.toml"
              ],
              "has_codeql_workflow": false,
              "has_security_policy": false,
              "has_dependabot_config": true
            },
            "components": [
              {
                "key": "security_policy_security_md",
                "name": "Security policy (SECURITY.md)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 30
              },
              {
                "key": "dependabot_config",
                "name": "Dependabot config",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "dependency_lockfiles",
                "name": "Dependency lockfiles",
                "detail": "published library — lockfiles are an application concern, not expected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "lockfiles_not_expected",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "codeql_workflow",
                "name": "CodeQL workflow",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "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": 4
            },
            "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": 60,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "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": 1,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "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": [
                  {
                    "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": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "excellent",
            "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": 96,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "uv.lock"
              ],
              "has_dockerfile": true,
              "typed_language": true,
              "bootstrap_files": [
                "Traccc/extras/root_to_csv/Makefile"
              ],
              "has_devcontainer": true,
              "has_linter_config": true,
              "typecheck_configs": [],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "Traccc/extras/root_to_csv/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Traccc/extras/root_to_csv/Makefile"
                    }
                  }
                ],
                "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": "C++ (statically typed)",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "statically_typed_language",
                    "params": {
                      "language": "C++"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "devcontainer, Dockerfile, lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "devcontainer, Dockerfile, lockfile"
                    }
                  }
                ],
                "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": "OpenSSF Scorecard unavailable",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "excellent",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "primary_language": "C++",
              "largest_source_bytes": 993557,
              "source_files_sampled": 3702,
              "oversized_source_files": 8
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "C++ (statically typed)",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "statically_typed_language",
                    "params": {
                      "language": "C++"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "8/3702 source files over 60KB",
                "points": 54.9,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 3702,
                      "oversized": 8
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "examples",
                "notebooks"
              ],
              "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, notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples, notebooks"
                    }
                  }
                ],
                "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": [
    "pypi package 'codegen' points at a different repository (https://github.com/codegen-sh/codegen-sdk); excluded from ecosystem scoring",
    "OpenSSF Scorecard did not return a usable result (Skipping github.com/acts-project/acts: run: RepoClient.LocalPath: error during tarballHandler.setup: internal error: handler.httpClient.Do: Get \"https://codeload.github.com/acts-project/acts/legacy.tar.gz/refs/heads/main\": internal error: innerTransport.RoundTrip: internal error: innerTransport.RoundTrip: error in HTTP: dial tcp: lookup codeload.github.com on 127.0.0.11:53: server misbehaving); skipping Scorecard checks"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-17T20:06:44.166037Z",
  "schema_version": "0.12.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/a/acts-project/acts.svg",
  "full_name": "acts-project/acts",
  "license_state": "standard",
  "license_spdx": "MPL-2.0"
}

Scores are signals, not warranties. They reflect publicly visible practices on GitHub — not a code audit, and not a security guarantee.

Missing data is excluded and weights renormalized, never scored as zero. Methodology is versioned and open: metrics v1.13.0, schema v0.12.0 — full methodology · metrics wiki.

How one result sits in the wider record: aggregate statisticsPyPI.