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Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-30 22:26 UTC

google-deepmind / distrax

PythonApache-2.0★ 645 Sterne⑂ 42 Forksseit Apr. 2021Auf GitHub ansehen ↗

google-deepmind/distrax erreicht einen Gesundheitsindex von 64 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Sustainability & Governance (75/100) ab, am schwächsten bei AI Readiness (29/100). Zuletzt heute aktualisiert. 3 Mitwirkende tragen den Großteil der jüngsten Arbeit.

64
gesamt / 100
Mittel

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.

64
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

Google DeepMindOrganisation
25.814 Follower399 öffentliche Reposseit Aug. 2014

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

Paket-Ökosysteme

RegistryPaketVersionDownloads / MonatVersionenZuletzt veröffentlichtTags
PyPIdistrax0.1.9175.11313vor 47 Tagenjaxprobabilitydistributionpythonmachine-learning

Metriken nach Kategorie

Vitalität

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

69Mittel · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 0 Tagen
6.9/36Commit-Rhythmus — 10/52 Wochen mit Commits
11.5/18Commit-Volumen — 18 Commits im letzten Jahr
5/10OpenSSF Scorecard: Maintained — 7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5
Verwendete Eingangsdaten
commits_last_year18
human_commit_share1
days_since_last_push0
active_weeks_last_year10
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 16 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 47 Tagen
12.6/27Release-Rhythmus — ein Release etwa alle 134,9 Tage
0/10OpenSSF Scorecard: Signed-Releases — keine Daten
Verwendete Eingangsdaten
releases_count16
latest_release_tagv0.1.9
releases_from_tagsnein
days_since_latest_release47
mean_days_between_releases134,9
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.

Community & Verbreitung

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

72Gut · 18 % des Gesamtindex
Wie die Bewertung erfolgt
45.6/60Stars — 645 Stars
13.4/25Forks — 42 Forks
6.4/15Watcher — 15 Watcher
Verwendete Eingangsdaten
forks42
stars645
watchers15
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (Apache-2.0)
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
Wie die Bewertung erfolgt
69.9/80Downloads pro Monat — 175.113 Downloads/Monat über pypi
0/20Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen
Verwendete Eingangsdaten
packagesdistrax
dependents
ecosystemspypi
total_downloads
monthly_downloads175.113
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Abhängige in der Registry. Die verbleibenden Gewichte wurden renormalisiert.

Nachhaltigkeit & Governance

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

75Gut · 24 % des Gesamtindex
Wie die Bewertung erfolgt
36/54Bus-Faktor — 3 Beitragende decken die Hälfte aller Commits ab
16.4/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 27 % der Commits
13.5/13.5Breite der Beitragenden — 25 Beitragende
10/10OpenSSF Scorecard: Contributors — project has 4 contributing companies or organizations
Verwendete Eingangsdaten
bus_factor3
contributors_sampled25
top_contributor_share0,272
Wie die Bewertung erfolgt
23.4/46.8Issue-Lösungsquote — 50 % der Issues geschlossen
22.9/38.3PR-Annahme — 149/249 entschiedene PRs gemergt
3/15OpenSSF Scorecard: Code-Review — Found 7/30 approved changesets -- score normalized to 2
Verwendete Eingangsdaten
merged_prs149
open_issues28
closed_issues28
issue_closed_ratio0,5
closed_unmerged_prs100
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
25/25Reichweite des Inhabers — 25.814 Follower von google-deepmind
25/25Kontohistorie — 399 öffentliche Repos, Kontoalter ca. 11 Jahre
Verwendete Eingangsdaten
followers25.814
owner_typeOrganization
is_verified
owner_logingoogle-deepmind
public_repos399
account_age_days4.352

Paketpflege

100Exzellent
Wie die Bewertung erfolgt
25/25Veröffentlicht & auflösbar — 1 Paket(e) auf pypi
35/35Veröffentlichungsaktualität — letzte Veröffentlichung vor 47 Tagen
20/20Versionshistorie — 13 veröffentlichte Versionen
20/20Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen
Verwendete Eingangsdaten
packagesdistrax
ecosystemspypi
any_deprecatednein
min_days_since_publish47

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

53Mittel · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 2 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
14/20OpenSSF Scorecard: CI-Tests — 18 out of 23 merged PRs checked by a CI test -- score normalized to 7
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_confignein
has_precommit_confignein

Dokumentation

40Gefährdet
Wie die Bewertung erfolgt
30/30README
0/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
0/10Repository-Beschreibung
0/10Topics
10/10Wiki
Verwendete Eingangsdaten
topics
has_wikija
homepage
has_readmeja
has_docs_dirnein
has_descriptionnein

Sicherheit

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

47Gefährdet · 16 % des Gesamtindex

Sicherheitslage

47Gefährdet
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
1.8/2.5CI-Tests — 18 out of 23 merged PRs checked by a CI test -- score normalized to 7
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
1.5/7.5Code-Review — Found 7/30 approved changesets -- score normalized to 2
2.5/2.5Contributors — project has 4 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
3.8/7.5Maintained — 7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
3.5/5SAST — SAST tool is not run on all commits -- score normalized to 7
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — keine Daten
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4,7
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): signed_releases. 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.

29Kritisch · 0 % des Gesamtindex
Wie die Bewertung erfolgt
0/45Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln
0/15Maschinenlesbare Doku (llms.txt)
19.2/40Lesbare Commit-Historie — 36 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,36
agent_instruction_files
agent_instruction_max_bytes
Wie die Bewertung erfolgt
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
0/11Statische Typprüfung
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100
0/8Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfilenein
typed_languagenein
bootstrap_files
has_devcontainernein
has_linter_confignein
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Wie die Bewertung erfolgt
0/45Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration
55/55Handhabbare Dateigrößen — 0/141 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languagePython
largest_source_bytes23.076
source_files_sampled141
oversized_source_files0
Wie die Bewertung erfolgt
0/40API-Schema (OpenAPI/GraphQL/proto)
0/20MCP-Server
40/40Lauffähige Beispiele — examples
Verwendete Eingangsdaten
example_dirsexamples
has_mcp_signalnein
api_schema_files

Eckdaten

645GitHub-Sterne
25Mitwirkende
18Commits, letzte 12 Monate
0Tage seit letztem Push
16Releases
3Bus-Faktor
28offene Issues
PyPIPaket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • No resolved dependencies carried a version and a supported ecosystem

Weitere Details

Stern- und Fork-Verlauf 0 ★ / 42 ⇿
0Sterne
42Forks
15Releases

Wann jeder Stern und Fork hinzugefügt wurde, von GitHub erfasst und nach Tagen gruppiert. Das kumulierte Wachstum steht direkt über den täglichen Zugängen, aus denen es besteht, sodass beide gegeneinander lesbar sind: stetiger organischer Zuwachs sieht ganz anders aus als ein abrupter, kurzlebiger Ausschlag. Wo dieser Unterschied messbar ist, wird er als Wachstumsauthentizität ausgewiesen.

010203040504222021-042023-112026-07
Major 0Minor 1Patch 14

Jeder Punkt umfasst 5 Tage.

OpenSSF Scorecard 4.7 / 10
4.7Gesamtwert

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 · 2026-07-30 22:25 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
7CI-Tests18 out of 23 merged PRs checked by a CI test -- score normalized to 7
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
2Code-ReviewFound 7/30 approved changesets -- score normalized to 2
10Contributorsproject has 4 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
5Maintained7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
7SASTSAST tool is not run on all commits -- score normalized to 7
0Security-Policysecurity policy file not detected
k. A.Signed-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Direkte Abhängigkeiten 6
RegistryPaketVersionsvorgabeManifest
PyPIabsl-py>=2.3.1pyproject.toml
PyPIchex>=0.1.90pyproject.toml
PyPIjax>=0.7.0pyproject.toml
PyPIjaxlib>=0.7.0pyproject.toml
PyPInumpy>=1.24.1pyproject.toml
PyPItfp-nightlypyproject.toml
Alle Abhängigkeiten 6

Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 6 direkte und 0 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.

RegistryPaketVersionBeziehung
PyPIabsl-pydirekt
PyPIchexdirekt
PyPIjaxdirekt
PyPIjaxlibdirekt
PyPInumpydirekt
PyPItfp-nightlydirekt
Abhängigkeits-Advisories nicht bewertet

Der Advisory-Abgleich konnte für diesen Bericht nicht ausgeführt werden: No resolved dependencies carried a version and a supported ecosystem

JSON-Rohbericht maschinenlesbar
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          "is_bot": false,
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          "headline": "The main tensorflow_probability BUILD target is being changed to only…",
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          "headline": "Update bibtex citations.",
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          "headline": "[LSC] Ignore incorrect type annotations related to jax.numpy APIs",
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          "body": "Currently chex.PRNGKey is effectively treated as Any, and making this more strict reveals a number of incorrect annotations in existing code.\n\nPiperOrigin-RevId: 565783459",
          "is_bot": false,
          "headline": "Ignore incorrect annotations related to chex.PRNGKey",
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          "oid": "90f7611747547487243488c62787ff20012c58d2",
          "body": "Why? This annotation is incorrect (the type checker does not consider `rng` here to be a `PRNGKey`) The reason this has worked in the past is because `chex.PRNGKey` has been effectively considered to be `Any`; this incorrect annotation is blocking us from making `chex.PRNGKey` a more meaningful annotation.\n\nPiperOrigin-RevId: 565184594",
          "is_bot": false,
          "headline": "Ignore bad return type annotation in convert_seed_and_sample_shape",
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          "headline": "Add `log_survival_function` for `Laplace` distribution.",
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          "headline": "Add an optional epsilon to avoid NANs when big and small are too clos…",
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          "is_bot": false,
          "headline": "[JAX] Fix incorrect type annotations.",
          "author_name": "Peter Hawkins",
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          "headline": "Internal change.",
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          "headline": "Update the code to not use the deprecated Chex assertions.",
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          "body": "jax version 0.4.7 deprecated several top-level aliases; these have been raising warnings since March 2023, and will soon be removed. They include\n\n- jax.ad -> jax.interpreters.ad\n- jax.flatten_fun_nokwargs - jax.api_util.flatten_fun_nokwargs\n- jax.partial_eval -> jax.interpreters.partial_eval\n- jax.pxla -> jax.interpreters.pxla\n- jax.xla -> jax.interpreters.xla\n\nThis change renames these references in preparation for them to be removed from JAX\n\nPiperOrigin-RevId: 544771610",
          "is_bot": false,
          "headline": "Remove references to deprecated jax aliases",
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          "headline": "Release 0.1.4.",
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          "headline": "Update chex & numpy versions in requirements. Closes #234.",
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          "is_bot": false,
          "headline": "Drop 3.7 and 3.8.",
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                "points": 30,
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                "key": "documentation_directory",
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                "status": "missed",
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                "key": "documentation_homepage_site",
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                "points": 0,
                "status": "missed",
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                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
        "band": "at_risk",
        "name": "Security",
        "value": 47,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "at_risk",
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            "notes": [
              {
                "code": "excluded_no_data",
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                  "components": [
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              },
              {
                "code": "weights_renormalized",
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              "source": "openssf_scorecard",
              "checks_evaluated": 17,
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              "checks_inconclusive": 1,
              "scorecard_aggregate": 4.7
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            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
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                "points": 7.5,
                "status": "met",
                "details": [],
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              {
                "key": "branch_protection",
                "name": "Branch-Protection",
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              {
                "key": "ci_tests",
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                "points": 1.8,
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                "key": "cii_best_practices",
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                "points": 0,
                "status": "missed",
                "details": [],
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                "key": "code_review",
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                "points": 1.5,
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                "key": "contributors",
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                "key": "dangerous_workflow",
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                "points": 10,
                "status": "met",
                "details": [],
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              {
                "key": "dependency_update_tool",
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                "points": 0,
                "status": "missed",
                "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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              {
                "key": "license",
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                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
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              },
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                "key": "maintained",
                "name": "Maintained",
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                "points": 3.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
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                "key": "packaging",
                "name": "Packaging",
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                "points": 5,
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                "max_points": 5
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              {
                "key": "pinned_dependencies",
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                "status": "missed",
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                "max_points": 5
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              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 7",
                "points": 3.5,
                "status": "partial",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
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                "points": 0,
                "status": "excluded",
                "details": [
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                    "code": "no_data",
                    "params": {}
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                "max_points": 7.5
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                "key": "token_permissions",
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                "points": 0,
                "status": "missed",
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                "max_points": 7.5
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              {
                "key": "vulnerabilities",
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                "points": 7.5,
                "status": "met",
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          },
          {
            "key": "high_risk_jurisdiction_exposure",
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              "assessed_self_published_locations": 10
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                    "code": "jurisdiction_no_match",
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                "max_points": 100
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      },
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        "key": "ai_readiness",
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        "name": "AI Readiness",
        "value": 29,
        "weight": 0,
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            "note": null,
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            "inputs": {
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                "key": "machine_readable_docs_llms_txt",
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                "points": 0,
                "status": "missed",
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              {
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          {
            "key": "ai_verify_loop",
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            "inputs": {
              "has_nix": false,
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              "lockfiles": [],
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            "components": [
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                "key": "one_command_bootstrap",
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                "points": 0,
                "status": "missed",
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                "key": "automated_tests",
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              {
                "key": "static_type_checking",
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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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                "status": "missed",
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                    "code": "no_agent_authored_commits",
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                "key": "automated_maintenance",
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                "detail": "no automated dependency updates observed",
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                "max_points": 8
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              {
                "key": "openssf_scorecard_pinned_dependencies",
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          },
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              "source_files_sampled": 141,
              "oversized_source_files": 0
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                "key": "type_checkable_code",
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                "status": "missed",
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                "key": "manageable_file_sizes",
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                    "code": "oversized_source_files",
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                      "oversized": 0
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          },
          {
            "key": "ai_interfaces",
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            "notes": [],
            "value": 40,
            "inputs": {
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              "has_mcp_signal": false,
              "api_schema_files": []
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                "key": "api_schema_openapi_graphql_proto",
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                "points": 0,
                "status": "missed",
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              },
              {
                "key": "mcp_server",
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                "details": [],
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              },
              {
                "key": "runnable_examples",
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                    "code": "file_list",
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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": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "No resolved dependencies carried a version and a supported ecosystem"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-30T22:26:14.575724Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/g/google-deepmind/distrax.svg",
  "full_name": "google-deepmind/distrax",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

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