Public record
Software health reportschema 0.11.0 · metrics 1.13.0 · 2026-07-16 23:45 UTC

PyCQA / isort

A Python utility / library to sort imports.

PythonMIT★ 6,953 stars⑂ 664 forkssince Sep 2013View on GitHub ↗

PyCQA/isort holds a health index of 77 out of 100, placing it in the Good band. It scores highest on Engineering Quality (100/100) and lowest on Security (33/100). It was last updated today. A single contributor accounts 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

1,013 followers29 public repossince Sep 2014

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

Package ecosystems

RegistryPackageVersionDownloads / moVersionsLast publishTags
PyPIexample_isort_formatting_plugin0.1.1-61312 days ago
PyPIexample_isort_sorting_plugin0.1.0-41313 days ago
PyPIexample_shared_isort_profile0.1.0-21313 days ago
PyPIisort8.0.1-154138 days agocleanimportslintrefactorsort

Metrics by category

Vitality

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

97Excellent · 22% of overall
How it's scored
36/36Push recency — last push 0 days ago
0/36Commit cadence — no data
0/18Commit volume — no data
0/10OpenSSF Scorecard: Maintained — no data
Inputs used
commits_last_year
human_commit_share
days_since_last_push0
active_weeks_last_year
Excluded from scoring (no data or not applicable): Commit cadence, Commit volume. Remaining weights renormalized.
How it's scored
27/27Ships releases — 100 releases published
36/36Release recency — latest release 4 days ago
19.8/27Release cadence — a release every ~59 days
0/10OpenSSF Scorecard: Signed-Releases — no data
Inputs used
releases_count100
latest_release_tag9.0.0b1
releases_from_tagsno
days_since_latest_release4
mean_days_between_releases59

Community & Adoption

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

72Good · 18% of overall
How it's scored
60/60Stars — 6,953 stars
23.5/25Forks — 664 forks
9/15Watchers — 43 watchers
Inputs used
forks664
stars6,953
watchers43
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
How it's scored
22.5/22.5README
22.5/22.5License — recognized license (MIT)
0/18CONTRIBUTING guide
0/13.5Code of conduct
0/7.2Issue template
0/6.3PR template
Inputs used
has_readmeyes
has_licenseyes
has_contributingno
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno

Sustainability & Governance

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

71Good · 24% of overall
How it's scored
9/54Bus factor — 1 contributor(s) cover half of all commits
6.2/22.5Commit distribution — top contributor authored 72% of commits
13.5/13.5Contributor breadth — 100 contributors
0/10OpenSSF Scorecard: Contributors — no data
Inputs used
bus_factor1
contributors_sampled100
top_contributor_share0.724
How it's scored
43.8/46.8Issue resolution — 94% of issues closed
33.4/38.3PR acceptance — 1,036/1,185 decided PRs merged
0/15OpenSSF Scorecard: Code-Review — no data
Inputs used
merged_prs1,036
open_issues87
closed_issues1,272
issue_closed_ratio0.936
closed_unmerged_prs149
How it's scored
30/30Ownership backing — organization-owned
0/20Verified domain
21.6/25Owner reach — 1,013 followers of PyCQA
22.8/25Track record — 29 public repos, account ~11 yr old
Inputs used
followers1,013
owner_typeOrganization
is_verified
owner_loginPyCQA
public_repos29
account_age_days4,325
How it's scored
25/25Published & resolvable — 4 package(s) on pypi
35/35Publish recency — latest publish 138 days ago
20/20Version history — 154 published versions
20/20Not deprecated — active, not deprecated or yanked
Inputs used
packagesexample_isort_formatting_plugin, example_isort_sorting_plugin, example_shared_isort_profile, isort
ecosystemspypi
any_deprecatedno
min_days_since_publish138

Engineering Quality

Are baseline engineering and documentation practices in place?

100Excellent · 20% of overall
How it's scored
24/24CI workflows — 4 workflow(s)
24/24Tests present
16/16Linter config — tox.ini
9.6/9.6Pre-commit hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — no data
Inputs used
has_ciyes
has_testsyes
has_editorconfigyes
has_linter_configyes
has_precommit_configyes

Documentation

100Excellent
How it's scored
30/30README
25/25Documentation directory
15/15Documentation / homepage site — https://isort.readthedocs.io/
10/10Repository description
10/10Topics — 11 topics
10/10Wiki
Inputs used
topicsauto-formatter, isort, sorting-imports, python-utility, cli, linter, cleaner, formatter, python, python3, hacktoberfest
has_wikiyes
homepagehttps://isort.readthedocs.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
manifestsexample_isort_formatting_plugin/pyproject.toml, example_isort_sorting_plugin/pyproject.toml, example_shared_isort_profile/pyproject.toml, 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.

49At risk · 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
0/18One-command bootstrap
22/22Automated tests
11/11Lint / format config — tox.ini
11/11Static type checking — isort/_vendored/tomli/py.typed, isort/py.typed
10/10Reproducible environment — 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_languageno
bootstrap_files
has_devcontainerno
has_linter_configyes
typecheck_configsisort/_vendored/tomli/py.typed, isort/py.typed
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
27/45Type-checkable code — Python with type-check config (isort/_vendored/tomli/py.typed, isort/py.typed)
53.5/55Manageable file sizes — 3/111 source files over 60KB
Inputs used
primary_languagePython
largest_source_bytes191,093
source_files_sampled111
oversized_source_files3

Key facts

6,953GitHub stars
100contributors
-commits, last 12 months
0days since last push
100releases
1bus factor
87open issues
PyPIpackage ecosystems

Data collection warnings

  • Commit participation stats not ready (GitHub still computing); rerun to fill in
  • OpenSSF Scorecard did not return a usable result (Skipping github.com/PyCQA/isort: run: repo unreachable: GET https://api.github.com/repos/PyCQA/isort: 503 []); skipping Scorecard checks

More detail

Direct dependencies 3
RegistryPackageVersion constraintManifest
PyPIisort>=5.13.2example_isort_formatting_plugin/pyproject.toml
PyPIblack>=24.3.0example_isort_formatting_plugin/pyproject.toml
PyPInatsort>=7.1.1example_isort_sorting_plugin/pyproject.toml
All dependencies 139

Full resolved dependency set from the GitHub dependency graph: 3 direct and 136 indirect (transitive) packages. The transitive closure is complete when the repository commits a lockfile.

RegistryPackageVersionRelation
PyPIblack26.3.1direct
PyPIisort5.13.2direct
PyPInatsort8.4.0direct
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PyPIbackports-tarfile1.2.0indirect
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PyPIcryptography48.0.1indirect
PyPIdistlib0.3.9indirect
PyPIdocutils0.21.2indirect
PyPIdocutils0.22.4indirect
PyPIexample-isort-formatting-plugin0.1.1indirect
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Raw JSON report machine-readable
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              {
                "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": 7
            },
            "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": 49,
        "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": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 74,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "uv.lock"
              ],
              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "isort/_vendored/tomli/py.typed",
                "isort/py.typed"
              ],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": "tox.ini",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "tox.ini"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "isort/_vendored/tomli/py.typed, isort/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "isort/_vendored/tomli/py.typed, isort/py.typed"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "Dockerfile, lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "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": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 80,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 191093,
              "source_files_sampled": 111,
              "oversized_source_files": 3
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (isort/_vendored/tomli/py.typed, isort/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "isort/_vendored/tomli/py.typed, isort/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "3/111 source files over 60KB",
                "points": 53.5,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 111,
                      "oversized": 3
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "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": [
    "Commit participation stats not ready (GitHub still computing); rerun to fill in",
    "OpenSSF Scorecard did not return a usable result (Skipping github.com/PyCQA/isort: run: repo unreachable: GET https://api.github.com/repos/PyCQA/isort: 503  []); skipping Scorecard checks"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-16T23:45:27.165893Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/PyCQA/isort.svg",
  "full_name": "PyCQA/isort",
  "license_state": "standard",
  "license_spdx": "MIT"
}

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 v0.11.0 — full methodology · metrics wiki.

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