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Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-17 00:12 UTC

mwaskom / seaborn

Statistical data visualization in Python

PythonBSD-3-Clause★ 13.962 Sterne⑂ 2.127 Forksseit Juni 2012Auf GitHub ansehen ↗

mwaskom/seaborn erreicht einen Gesundheitsindex von 70 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Engineering Quality (90/100) ab, am schwächsten bei AI Readiness (43/100). Zuletzt vor 10 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

70
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.

70
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

Michael WaskomPersönliches Konto
3.448 Follower58 öffentliche Reposseit Juni 2010@modal-labs

Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlicht
PyPIseaborn0.13.2-36vor 903 Tagen

Metriken nach Kategorie

Vitalität

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

50Mittel · 22 % des Gesamtindex
Wie die Bewertung erfolgt
28.8/36Push-Aktualität — letzter Push vor 10 Tagen
2.1/36Commit-Rhythmus — 3/52 Wochen mit Commits
11.5/18Commit-Volumen — 18 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 15 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year18
human_commit_share
days_since_last_push10
active_weeks_last_year3

Release-Disziplin

47Gefährdet
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 37 Releases veröffentlicht
0/36Release-Aktualität — letztes Release vor 903 Tagen
19.8/27Release-Rhythmus — ein Release etwa alle 62,3 Tage
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Verwendete Eingangsdaten
releases_count37
latest_release_tagv0.13.2
releases_from_tagsnein
days_since_latest_release903
mean_days_between_releases62,3

Community & Verbreitung

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

85Exzellent · 18 % des Gesamtindex
Wie die Bewertung erfolgt
60/60Stars — 13.962 Stars
25/25Forks — 2.127 Forks
13.3/15Watcher — 250 Watcher
Verwendete Eingangsdaten
forks2.127
stars13.962
watchers250
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (BSD-3-Clause)
18/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
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?

63Mittel · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
3.2/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 86 % der Commits
13.5/13.5Breite der Beitragenden — 100 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 58 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor1
contributors_sampled100
top_contributor_share0,858
Wie die Bewertung erfolgt
43.7/46.8Issue-Lösungsquote — 94 % der Issues geschlossen
28.6/38.3PR-Annahme — 863/1.155 entschiedene PRs gemergt
4.5/15OpenSSF Scorecard: Code-Review — Found 10/30 approved changesets -- score normalized to 3
Verwendete Eingangsdaten
merged_prs863
open_issues173
closed_issues2.483
issue_closed_ratio0,935
closed_unmerged_prs292
Wie die Bewertung erfolgt
10/30Organisatorische Trägerschaft — persönliches (Nutzer-)Konto
0/20Verifizierte Domain — für Nutzerkonten nicht anwendbar
25/25Reichweite des Inhabers — 3.448 Follower von mwaskom
24.9/25Kontohistorie — 58 öffentliche Repos, Kontoalter ca. 16 Jahre
Verwendete Eingangsdaten
followers3.448
owner_typeUser
is_verified
owner_loginmwaskom
public_repos58
account_age_days5.863
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.

Paketpflege

69Mittel
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
4/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 903 Tagen
20/20Versionshistorie — 36 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesseaborn
ecosystemspypi
any_deprecatednein
min_days_since_publish903

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

90Exzellent · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 1 Workflow(s)
24/24Tests vorhanden
16/16Linter-Konfiguration
9.6/9.6Pre-Commit-Hooks
0/6.4.editorconfig
10/20OpenSSF Scorecard: CI-Tests — 15 out of 28 merged PRs checked by a CI test -- score normalized to 5
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_configja
has_precommit_configja

Dokumentation

100Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
15/15Dokumentations-/Homepage-Site — https://seaborn.pydata.org
10/10Repository-Beschreibung
10/10Topics — 5 Topics
10/10Wiki
Verwendete Eingangsdaten
topicspython, data-visualization, data-science, matplotlib, pandas
has_wikija
homepagehttps://seaborn.pydata.org
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

68Mittel · 16 % des Gesamtindex
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
1.2/2.5CI-Tests — 15 out of 28 merged PRs checked by a CI test -- score normalized to 5
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
2.2/7.5Code-Review — Found 10/30 approved changesets -- score normalized to 3
2.5/2.5Contributors — project has 58 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 15 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — keine Daten
5/5Pinned-Dependencies — all dependencies are pinned
2/5SAST — SAST tool is not run on all commits -- score normalized to 4
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6,8
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): packaging. 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.

43Gefährdet · 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
18/18Bootstrap mit einem Befehl — Makefile, doc/Makefile, doc/_docstrings/Makefile, doc/_tutorial/Makefile
22/22Automatisierte Tests
11/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine Daten
5/8Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet
10/10OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfilenein
typed_languagenein
bootstrap_filesMakefile, doc/Makefile, doc/_docstrings/Makefile, doc/_tutorial/Makefile
has_devcontainernein
has_linter_configja
typecheck_configs
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
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
51/55Handhabbare Dateigrößen — 11/152 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes122.179
source_files_sampled152
oversized_source_files11
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — examples, notebooks
Verwendete Eingangsdaten
example_dirsexamples, notebooks
has_mcp_signalnein
api_schema_files

Eckdaten

13.962GitHub-Sterne
100Mitwirkende
18Commits, letzte 12 Monate
10Tage seit letztem Push
37Releases
1Bus-Faktor
173offene Issues
PyPIPaket-Ökosysteme

Weitere Details

OpenSSF Scorecard 6.8 / 10
6.8Gesamtwert

Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).Scorecard v5.5.0 · 2026-07-17 00:12 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
5CI-Tests15 out of 28 merged PRs checked by a CI test -- score normalized to 5
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
3Code-ReviewFound 10/30 approved changesets -- score normalized to 3
10Contributorsproject has 58 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained15 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
k. A.Packagingpackaging workflow not detected
10Pinned-Dependenciesall dependencies are pinned
4SASTSAST tool is not run on all commits -- score normalized to 4
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
10Vulnerabilities0 existing vulnerabilities detected
Direkte Abhängigkeiten 3
RegistryPaketVersionsvorgabeManifest
PyPInumpy>=2.0pyproject.toml
PyPIpandas>=2.2pyproject.toml
PyPImatplotlib>=3.9pyproject.toml
Alle Abhängigkeiten 25

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 3 direkte und 22 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPImatplotlibdirekt
PyPInumpydirekt
PyPIpandasdirekt
PyPIflit3.12.0indirekt
PyPIflit-coreindirekt
PyPIipykernel7.3.0indirekt
PyPIjupyterlab4.6.1indirekt
PyPInbconvert7.17.1indirekt
PyPInumpydoc1.6.0indirekt
PyPIpandas-stubs3.0.3.260530indirekt
PyPIpre-commit4.6.0indirekt
PyPIpydata-sphinx-theme0.19.0indirekt
PyPIpytest9.1.1indirekt
PyPIpytest-cov7.1.0indirekt
PyPIpytest-xdist3.8.0indirekt
PyPIpyyaml6.0.3indirekt
PyPIruff0.15.20indirekt
PyPIscipyindirekt
PyPIscipy-stubs1.18.0.0indirekt
PyPIsphinx9.1.0indirekt
PyPIsphinx-copybutton0.5.2indirekt
PyPIsphinx-design0.7.0indirekt
PyPIsphinx-issues5.0.1indirekt
PyPIstatsmodelsindirekt
PyPIty0.0.56indirekt
JSON-Rohbericht maschinenlesbar
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          "avatar_url": "https://avatars.githubusercontent.com/u/39889?u=bd28816c18beaddc4da762d61d842547fdb271d9&v=4"
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        {
          "type": "Bot",
          "login": "dependabot[bot]",
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      "contributors_sampled": 100,
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            "key": "stewardship",
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                "details": [
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                    "code": "public_repos",
                    "params": {
                      "count": 58
                    }
                  },
                  {
                    "code": "account_age_years",
                    "params": {
                      "years": 16
                    }
                  }
                ],
                "max_points": 25
              }
            ]
          },
          {
            "key": "package_maintenance",
            "band": "moderate",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 69,
            "inputs": {
              "packages": [
                "seaborn"
              ],
              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 903
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            "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"
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                  }
                ],
                "max_points": 25
              },
              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 903 days ago",
                "points": 4,
                "status": "partial",
                "details": [
                  {
                    "code": "publish_recency",
                    "params": {
                      "days": 903
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                  }
                ],
                "max_points": 35
              },
              {
                "key": "version_history",
                "name": "Version history",
                "detail": "36 published versions",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "published_versions",
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                      "count": 36
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                  }
                ],
                "max_points": 20
              },
              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "package_not_deprecated",
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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",
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        "name": "Engineering Quality",
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        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
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            "note": null,
            "notes": [],
            "value": 84,
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                "detail": "1 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
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                "max_points": 24
              },
              {
                "key": "tests_present",
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                "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": "15 out of 28 merged PRs checked by a CI test -- score normalized to 5",
                "points": 10,
                "status": "partial",
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                "max_points": 20
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            ]
          },
          {
            "key": "documentation",
            "band": "excellent",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "topics": [
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                "pandas"
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              "has_wiki": true,
              "homepage": "https://seaborn.pydata.org",
              "has_readme": true,
              "has_docs_dir": true,
              "has_description": true
            },
            "components": [
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                "key": "readme",
                "name": "README",
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                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
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              {
                "key": "documentation_directory",
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                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
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              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
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                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
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              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
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                "detail": "5 topics",
                "points": 10,
                "status": "met",
                "details": [
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                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
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        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
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            "note": "Excluded from scoring (no data or not applicable): Packaging. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
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                  "components": [
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                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
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            ],
            "value": 68,
            "inputs": {
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              "checks_evaluated": 17,
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            "components": [
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                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
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                "points": 7.5,
                "status": "met",
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                "key": "branch_protection",
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              {
                "key": "ci_tests",
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                "key": "cii_best_practices",
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                "status": "missed",
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              {
                "key": "code_review",
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                "detail": "Found 10/30 approved changesets -- score normalized to 3",
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              },
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                "details": [],
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              },
              {
                "key": "dangerous_workflow",
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                "details": [],
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              },
              {
                "key": "dependency_update_tool",
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                "points": 7.5,
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                "details": [],
                "max_points": 7.5
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              {
                "key": "fuzzing",
                "name": "Fuzzing",
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                "points": 0,
                "status": "missed",
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                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
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                "status": "met",
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              },
              {
                "key": "maintained",
                "name": "Maintained",
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                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 5
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              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "all dependencies are pinned",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 4",
                "points": 2,
                "status": "partial",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "Project has not signed or included provenance with any releases.",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "GitHub workflow tokens follow principle of least privilege",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
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            "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,
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              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
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                "Iran",
                "North Korea"
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              "review_only_matches": 0,
              "assessed_self_published_locations": 6
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            "components": [
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                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
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                "max_points": 100
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            ]
          }
        ],
        "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": 43,
        "weight": 0,
        "metrics": [
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            "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": {
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                "code": "weights_renormalized",
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            "components": [
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                "key": "agent_instructions",
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                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
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                "status": "missed",
                "details": [
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                    "code": "no_agent_instructions",
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                "max_points": 45
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                "key": "machine_readable_docs_llms_txt",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
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                "key": "legible_commit_history",
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                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
                    "params": {}
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                "max_points": 40
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            ]
          },
          {
            "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": [
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                "code": "weights_renormalized",
                "params": {}
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            "value": 73,
            "inputs": {
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              "lockfiles": [],
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              "agent_commit_share": null,
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                "key": "one_command_bootstrap",
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                "max_points": 18
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                "points": 22,
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                "key": "reproducible_environment",
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                "points": 0,
                "status": "missed",
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              },
              {
                "key": "demonstrated_agent_practice",
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                "detail": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
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                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
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                "detail": "dependency automation configured, none observed in the sampled commits",
                "points": 5,
                "status": "partial",
                "details": [
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              {
                "key": "openssf_scorecard_pinned_dependencies",
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                "points": 10,
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            ]
          },
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            "key": "ai_code_legibility",
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          },
          {
            "key": "ai_interfaces",
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            "notes": [],
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            "inputs": {
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                "name": "API schema (OpenAPI/GraphQL/proto)",
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                "points": 0,
                "status": "missed",
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              },
              {
                "key": "mcp_server",
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                "status": "missed",
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              {
                "key": "runnable_examples",
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                "detail": "examples, notebooks",
                "points": 40,
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                    "code": "file_list",
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            ]
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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": [],
  "report_type": "repository",
  "generated_at": "2026-07-17T00:12:59.128120Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/mwaskom/seaborn.svg",
  "full_name": "mwaskom/seaborn",
  "license_state": "standard",
  "license_spdx": "BSD-3-Clause"
}

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