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Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-16 23:45 UTC

PyCQA / isort

A Python utility / library to sort imports.

PythonMIT★ 6.953 Sterne⑂ 664 Forksseit Sept. 2013Auf GitHub ansehen ↗

PyCQA/isort erreicht einen Gesundheitsindex von 77 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Engineering Quality (100/100) ab, am schwächsten bei Security (33/100). Zuletzt heute aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

77
gesamt / 100
Gut

Software-Gesundheitsindex

Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.

77
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
VitalitätCommunity &VerbreitungNachhaltigkeit &GovernanceEngineering-QualitätSicherheitAI Readiness

Bewertungsprofil

Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.

Eigentümerschaft

1.013 Follower29 öffentliche Reposseit Sept. 2014

Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIexample_isort_formatting_plugin0.1.1-6vor 1312 Tagen
PyPIexample_isort_sorting_plugin0.1.0-4vor 1313 Tagen
PyPIexample_shared_isort_profile0.1.0-2vor 1313 Tagen
PyPIisort8.0.1-154vor 138 Tagencleanimportslintrefactorsort

Metriken nach Kategorie

Vitalität

Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?

97Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
0/36Commit-Rhythmus — keine Daten
0/18Commit-Volumen — keine Daten
0/10OpenSSF Scorecard: Maintained — keine Daten
Verwendete Eingangsdaten
commits_last_year
human_commit_share
days_since_last_push0
active_weeks_last_year
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Commit-Rhythmus, Commit-Volumen. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 100 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 4 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 59 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count100
latest_release_tag9.0.0b1
releases_from_tagsnein
days_since_latest_release4
mean_days_between_releases59

Community & Verbreitung

Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?

72Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
60/60Stars — 6.953 Stars
23.5/25Forks — 664 Forks
9/15Watcher — 43 Watcher
Verwendete Eingangsdaten
forks664
stars6.953
watchers43
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (MIT)
0/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingnein
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templatenein

Nachhaltigkeit & Governance

Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?

71Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
6.2/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 72 % der Commits
13.5/13.5Breite der Beitragenden — 100 Beitragende
0/10OpenSSF Scorecard: Contributors — keine Daten
Verwendete Eingangsdaten
bus_factor1
contributors_sampled100
top_contributor_share0,724
Wie die Bewertung erfolgt
43.8/46.8Issue-Lösungsquote — 94 % der Issues geschlossen
33.4/38.3PR-Annahme — 1.036/1.185 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — keine Daten
Verwendete Eingangsdaten
merged_prs1.036
open_issues87
closed_issues1.272
issue_closed_ratio0,936
closed_unmerged_prs149
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
21.6/25Reichweite des Inhabers — 1.013 Follower von PyCQA
22.8/25Kontohistorie — 29 öffentliche Repos, Kontoalter ca. 11 Jahre
Verwendete Eingangsdaten
followers1.013
owner_typeOrganization
is_verified
owner_loginPyCQA
public_repos29
account_age_days4.325

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 4 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 138 Tagen
20/20Versionshistorie — 154 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesexample_isort_formatting_plugin, example_isort_sorting_plugin, example_shared_isort_profile, isort
ecosystemspypi
any_deprecatednein
min_days_since_publish138

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

100Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 4 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration — tox.ini
9.6/9.6Pre-Commit-Hooks
6.4/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — keine Daten
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfigja
has_linter_configja
has_precommit_configja

Dokumentation

100Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://isort.readthedocs.io/
10/10Repository-Beschreibung
10/10Topics — 11 Topics
10/10Wiki
Verwendete Eingangsdaten
topicsauto-formatter, isort, sorting-imports, python-utility, cli, linter, cleaner, formatter, python, python3, hacktoberfest
has_wikija
homepagehttps://isort.readthedocs.io/
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?

33Gefährdet · 16 % des Gesamtindex

Sicherheitslage

33Gefährdet
Wie die Bewertung erfolgt
0/30Sicherheitsrichtlinie (SECURITY.md)
25/25Dependabot-Konfiguration
0/25Lockfiles für Abhängigkeiten — veröffentlichte Bibliothek — Lockfiles sind Sache der Anwendung, hier nicht erwartet
0/20CodeQL-Workflow
Verwendete Eingangsdaten
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_workflownein
has_security_policynein
has_dependabot_configja
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lockfiles für Abhängigkeiten. Die verbleibenden Gewichte wurden renormalisiert.

AI Readiness

Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.

49Gefährdet · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
0/40Lesbare Commit-Historie — keine Daten
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration — tox.ini
11/11Statische Typprüfung — isort/_vendored/tomli/py.typed, isort/py.typed
10/10Reproduzierbare Umgebung — Dockerfile, lockfile
0/10Belegte Agentenpraxis — keine Daten
5/8Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet
0/10OpenSSF Scorecard: Pinned-Dependencies — keine Daten
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfilesuv.lock
has_dockerfileja
typed_languagenein
bootstrap_files
has_devcontainernein
has_linter_configja
typecheck_configsisort/_vendored/tomli/py.typed, isort/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
27/45Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (isort/_vendored/tomli/py.typed, isort/py.typed)
53.5/55Handhabbare Dateigrößen — 3/111 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes191.093
source_files_sampled111
oversized_source_files3

Eckdaten

6.953GitHub-Sterne
100Mitwirkende
-Commits, letzte 12 Monate
0Tage seit letztem Push
100Releases
1Bus-Faktor
87offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • 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

Weitere Details

Direkte Abhängigkeiten 3
RegistryPaketVersionsvorgabeManifest
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
Alle Abhängigkeiten 139

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 3 direkte und 136 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIblack26.3.1direkt
PyPIisort5.13.2direkt
PyPInatsort8.4.0direkt
PyPIalabaster1.0.0indirekt
PyPIannotated-types0.7.0indirekt
PyPIanyio4.8.0indirekt
PyPIappdirs1.4.4indirekt
PyPIarrow1.3.0indirekt
PyPIattrs24.3.0indirekt
PyPIbabel2.18.0indirekt
PyPIbackports-tarfile1.2.0indirekt
PyPIbandit1.8.6indirekt
PyPIbinaryornot0.4.4indirekt
PyPIcachetools6.2.0indirekt
PyPIcertifi2024.12.14indirekt
PyPIcffi2.0.0indirekt
PyPIchardet5.2.0indirekt
PyPIcharset-normalizer3.4.1indirekt
PyPIclick8.1.8indirekt
PyPIcolorama0.4.6indirekt
PyPIcookiecutter2.6.0indirekt
PyPIcoverage7.10.7indirekt
PyPIcruft2.16.0indirekt
PyPIcryptography48.0.1indirekt
PyPIdistlib0.3.9indirekt
PyPIdocutils0.21.2indirekt
PyPIdocutils0.22.4indirekt
PyPIexample-isort-formatting-plugin0.1.1indirekt
PyPIexample-isort-sorting-plugin0.1.0indirekt
PyPIexample-shared-isort-profile0.1.0indirekt
PyPIexceptiongroup1.2.2indirekt
PyPIfilelock3.20.3indirekt
PyPIflake87.3.0indirekt
PyPIflake8-bugbear24.12.12indirekt
PyPIflake8-pyproject1.2.3indirekt
PyPIgitdb4.0.12indirekt
PyPIgitpython3.1.50indirekt
PyPIh110.16.0indirekt
PyPIhatch1.14.0indirekt
PyPIhatchlingindirekt
PyPIhatchling1.27.0indirekt
PyPIhttpcore1.0.9indirekt
PyPIhttpx0.28.1indirekt
PyPIhyperlink21.0.0indirekt
PyPIhypothesis6.140.3indirekt
PyPIhypothesmith0.3.3indirekt
PyPIidna3.15indirekt
PyPIimagesize2.0.0indirekt
PyPIimportlib-metadata8.6.1indirekt
PyPIiniconfig2.0.0indirekt
PyPIjaraco-classes3.4.0indirekt
PyPIjaraco-context6.0.1indirekt
PyPIjaraco-functools4.1.0indirekt
PyPIjeepney0.8.0indirekt
PyPIjinja23.1.6indirekt
PyPIkeyring25.6.0indirekt
PyPIlark1.2.2indirekt
PyPIlibcst1.8.5indirekt
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PyPImarkupsafe3.0.2indirekt
PyPImccabe0.7.0indirekt
PyPImdit-py-plugins0.5.0indirekt
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PyPImore-itertools10.6.0indirekt
PyPImypy1.18.2indirekt
PyPImypy-extensions1.0.0indirekt
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PyPIpackaging24.2indirekt
PyPIpackaging25.0indirekt
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PyPIpbr6.1.0indirekt
PyPIpep8-naming0.15.1indirekt
PyPIpexpect4.9.0indirekt
PyPIplatformdirs4.3.6indirekt
PyPIplatformdirs4.4.0indirekt
PyPIpluggy1.6.0indirekt
PyPIptyprocess0.7.0indirekt
PyPIpy-cpuinfo9.0.0indirekt
PyPIpycodestyle2.14.0indirekt
PyPIpycparser2.22indirekt
PyPIpydantic2.12.5indirekt
PyPIpydantic-core2.41.5indirekt
PyPIpydantic-extra-types2.11.0indirekt
PyPIpyflakes3.4.0indirekt
PyPIpygments2.20.0indirekt
PyPIpyproject-api1.9.1indirekt
PyPIpytest9.0.3indirekt
PyPIpytest-benchmark5.1.0indirekt
PyPIpython-dateutil2.9.0.post0indirekt
PyPIpython-slugify8.0.4indirekt
PyPIpytokens0.4.1indirekt
PyPIpywin32-ctypes0.2.3indirekt
PyPIpyyaml6.0.2indirekt
PyPIpyyaml-ft8.0.0indirekt
PyPIrequests2.33.0indirekt
PyPIrich13.9.4indirekt
PyPIroman-numerals4.1.0indirekt
PyPIruff0.13.3indirekt
PyPIsecretstorage3.3.3indirekt
PyPIshellingham1.5.4indirekt
PyPIsix1.17.0indirekt
PyPIsmmap5.0.2indirekt
PyPIsniffio1.3.1indirekt
PyPIsnowballstemmer3.0.1indirekt
PyPIsortedcontainers2.4.0indirekt
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PyPIsphinx9.0.4indirekt
PyPIsphinx9.1.0indirekt
PyPIsphinx-immaterial0.13.9indirekt
PyPIsphinxcontrib-applehelp2.0.0indirekt
PyPIsphinxcontrib-devhelp2.0.0indirekt
PyPIsphinxcontrib-htmlhelp2.1.0indirekt
PyPIsphinxcontrib-jsmath1.0.1indirekt
PyPIsphinxcontrib-qthelp2.0.0indirekt
PyPIsphinxcontrib-serializinghtml2.0.0indirekt
PyPIstdlibs2026.2.26indirekt
PyPIstevedore5.4.0indirekt
PyPItext-unidecode1.3indirekt
PyPItoml0.10.2indirekt
PyPItomli2.2.1indirekt
PyPItomli-w1.2.0indirekt
PyPItomlkit0.13.2indirekt
PyPItox4.30.3indirekt
PyPItox-uv1.28.0indirekt
PyPItrove-classifiers2025.1.15.22indirekt
PyPItyper0.15.1indirekt
PyPItypes-colorama0.4.15.20240311indirekt
PyPItypes-python-dateutil2.9.0.20241206indirekt
PyPItyping-extensions4.12.2indirekt
PyPItyping-extensions4.15.0indirekt
PyPItyping-inspection0.4.2indirekt
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PyPIuv0.11.15indirekt
PyPIvirtualenv20.36.1indirekt
PyPIzipp3.21.0indirekt
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JSON-Rohbericht maschinenlesbar
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                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "topics": [
                "auto-formatter",
                "isort",
                "sorting-imports",
                "python-utility",
                "cli",
                "linter",
                "cleaner",
                "formatter",
                "python",
                "python3",
                "hacktoberfest"
              ],
              "has_wiki": true,
              "homepage": "https://isort.readthedocs.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",
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                "detail": null,
                "points": 25,
                "status": "met",
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                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
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                "detail": "https://isort.readthedocs.io/",
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                "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": "11 topics",
                "points": 10,
                "status": "met",
                "details": [
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                    "code": "topics_count",
                    "params": {
                      "count": 11
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
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                "points": 10,
                "status": "met",
                "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"
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 33,
            "inputs": {
              "source": "file_signals",
              "lockfiles": [
                "uv.lock"
              ],
              "manifests": [
                "example_isort_formatting_plugin/pyproject.toml",
                "example_isort_sorting_plugin/pyproject.toml",
                "example_shared_isort_profile/pyproject.toml",
                "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": {}
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                "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",
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            "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"
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                }
              },
              {
                "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,
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              "lockfiles": [
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              "has_dockerfile": true,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
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              "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",
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                "points": 22,
                "status": "met",
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              },
              {
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                "status": "met",
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                    "code": "file_list",
                    "params": {
                      "files": "tox.ini"
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                "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"
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                ],
                "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
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            ]
          },
          {
            "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
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            "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",
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                  }
                ],
                "max_points": 45
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              {
                "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",
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                      "oversized": 3
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                ],
                "max_points": 55
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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."
      }
    ],
    "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"
}

Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.

Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.11.0 — vollständige Methodik · Metriken-Wiki.

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