Öffentliches RegisterGut
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-26 09:41 UTC
google-deepmind / open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
google-deepmind/open_spiel erreicht einen Gesundheitsindex von 82 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (95/100) ab, am schwächsten bei AI Readiness (57/100). Zuletzt vor 8 Tagen aktualisiert. 5 Mitwirkende tragen den Großteil der jüngsten Arbeit.
82
gesamt / 100Software-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.
82
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)
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
25.725 Follower397 öffentliche Reposseit Aug. 2014
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht | Tags |
|---|---|---|---|---|---|---|
| PyPI | open_spielverweist auf ein anderes Repo — nicht bewertet | 2.0.1 | - | 36 | vor 9 Tagen | reinforcement-learninggame-theoryartificial-intelligencegames |
| PyPI | open-spielverweist auf ein anderes Repo — nicht bewertet | 2.0.1 | 135.648 | 36 | vor 9 Tagen | reinforcement-learninggame-theoryartificial-intelligencegames |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
95
Entwicklungsaktivität
91Exzellent
Wie die Bewertung erfolgt
| 28.8/36 | Push-Aktualität — letzter Push vor 8 Tagen |
| 33.9/36 | Commit-Rhythmus — 49/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 817 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 817 |
| human_commit_share | 1 |
| days_since_last_push | 8 |
| active_weeks_last_year | 49 |
Release-Disziplin
100Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 30 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 8 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 30 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 30 |
| latest_release_tag | v2.0.1 |
| releases_from_tags | nein |
| days_since_latest_release | 8 |
| mean_days_between_releases | 30 |
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?
84
Popularität & Verbreitung
96Exzellent
Wie die Bewertung erfolgt
| 60/60 | Stars — 5.359 Stars |
| 25/25 | Forks — 1.161 Forks |
| 11.2/15 | Watcher — 106 Watcher |
Verwendete Eingangsdaten
| forks | 1.161 |
| stars | 5.359 |
| watchers | 106 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
70Gut
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (Apache-2.0) |
| 18/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | ja |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | nein |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
83
Wie die Bewertung erfolgt
| 45.9/54 | Bus-Faktor — 5 Beitragende decken die Hälfte aller Commits ab |
| 14/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 38 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 100 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 22 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 5 |
| contributors_sampled | 100 |
| top_contributor_share | 0,378 |
Reaktionsfähigkeit bei Issues & PRs
86Exzellent
Wie die Bewertung erfolgt
| 45.2/46.8 | Issue-Lösungsquote — 97 % der Issues geschlossen |
| 28.8/38.3 | PR-Annahme — 660/876 entschiedene PRs gemergt |
| 12/15 | OpenSSF Scorecard: Code-Review — Found 20/24 approved changesets -- score normalized to 8 |
Verwendete Eingangsdaten
| merged_prs | 660 |
| open_issues | 22 |
| closed_issues | 620 |
| issue_closed_ratio | 0,966 |
| closed_unmerged_prs | 216 |
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 25/25 | Reichweite des Inhabers — 25.725 Follower von google-deepmind |
| 25/25 | Kontohistorie — 397 öffentliche Repos, Kontoalter ca. 11 Jahre |
Verwendete Eingangsdaten
| followers | 25.725 |
| owner_type | Organization |
| is_verified | — |
| owner_login | google-deepmind |
| public_repos | 397 |
| account_age_days | 4.348 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
75
Engineering-Praktiken
68Mittel
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 2 Workflow(s) |
| 24/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 11 out of 11 merged PRs checked by a CI test -- score normalized to 10 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | nein |
| has_precommit_config | nein |
Dokumentation
85Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 0/15 | Dokumentations-/Homepage-Site |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 5 Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | games, reinforcement-learning, multiagent, cpp, python |
| has_wiki | ja |
| homepage | — |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
72
Sicherheitslage
65Mittel
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — keine Daten |
| 2.5/2.5 | CI-Tests — 11 out of 11 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 6/7.5 | Code-Review — Found 20/24 approved changesets -- score normalized to 8 |
| 2.5/2.5 | Contributors — project has 22 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 7.5/7.5 | Dependency-Update-Tool — update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — keine Daten |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 2/5 | SAST — SAST tool is not run on all commits -- score normalized to 4 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — keine Daten |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 6,5 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, packaging, signed_releases. Die verbleibenden Gewichte wurden renormalisiert.
Abhängigkeits-Advisories
100Exzellent
Wie die Bewertung erfolgt
| 35/35 | Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory |
| 25/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory |
| 0/40 | Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum |
Verwendete Eingangsdaten
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 6 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:open_spiel@2.0.1 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 6 Paketen. Erreichbarkeit wird nicht analysiert.
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.
57
AI-Agentenkontext & Leitlinien
40Gefährdet
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 40/40 | Lesbare Commit-Historie — 79 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,79 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — docs/Makefile |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 11/11 | Statische Typprüfung — C++ (statisch typisiert) |
| 10/10 | Reproduzierbare Umgebung — Dockerfile |
| 0/10 | Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100 |
| 0/8 | Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | — |
| has_dockerfile | ja |
| typed_language | ja |
| bootstrap_files | docs/Makefile |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | open_spiel/rust/Cargo.toml |
| dependency_bot_commit_share | 0 |
AI-Code-Lesbarkeit für Modelle
100Exzellent
Wie die Bewertung erfolgt
| 45/45 | Typprüfbarer Code — C++ (statisch typisiert) |
| 54.8/55 | Handhabbare Dateigrößen — 6/1.436 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | C++ |
| largest_source_bytes | 148.547 |
| source_files_sampled | 1.436 |
| oversized_source_files | 6 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples, notebooks |
Verwendete Eingangsdaten
| example_dirs | examples, notebooks |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
5.359GitHub-Sterne
100Mitwirkende
817Commits, letzte 12 Monate
8Tage seit letztem Push
30Releases
5Bus-Faktor
22offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- pypi package 'open_spiel' points at a different repository (https://github.com/deepmind/open_spiel.git); excluded from ecosystem scoring
- pypi package 'open-spiel' points at a different repository (https://github.com/deepmind/open_spiel.git); excluded from ecosystem scoring
- Could not fetch crates package 'libopen_spiel-sys' from its registry
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 1.161 ⇿
0Sterne
1.161Forks
30Releases
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.
Es wird nur die jüngste Historie angezeigt — dieses Repository überschreitet das Erfassungsfenster, sodass die früheste Historie nicht erfasst wird.
Major 1Minor 4Patch 19
Jeder Punkt umfasst 7 Tage.
OpenSSF Scorecard 6.5 / 10
6.5Gesamtwert
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).
| 10 | Binary-Artifacts | no binaries found in the repo |
| k. A. | Branch-Protection | internal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md |
| 10 | CI-Tests | 11 out of 11 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 8 | Code-Review | Found 20/24 approved changesets -- score normalized to 8 |
| 10 | Contributors | project has 22 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 10 | Dependency-Update-Tool | update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10 |
| k. A. | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 4 | SAST | SAST tool is not run on all commits -- score normalized to 4 |
| 0 | Security-Policy | security policy file not detected |
| k. A. | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direkte Abhängigkeiten 6
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | absl-py | >=0.10.0 | pyproject.toml |
| PyPI | attrs | >=19.3.0 | pyproject.toml |
| PyPI | numpy | >=1.21.5 | pyproject.toml |
| PyPI | scipy | >=1.10.1 | pyproject.toml |
| PyPI | ml-collections | >=0.1.1 | pyproject.toml |
| crates.io | libc | 0.2 | open_spiel/rust/Cargo.toml |
Alle Abhängigkeiten 23
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 6 direkte und 17 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| crates.io | libc | — | direkt |
| PyPI | absl-py | — | direkt |
| PyPI | attrs | — | direkt |
| PyPI | ml-collections | — | direkt |
| PyPI | numpy | — | direkt |
| PyPI | scipy | — | direkt |
| crates.io | cc | — | indirekt |
| crates.io | pkg-config | — | indirekt |
| PyPI | cmake | — | indirekt |
| PyPI | distrax | — | indirekt |
| PyPI | dm-haiku | — | indirekt |
| PyPI | jax | — | indirekt |
| PyPI | markdown | 3.8.1 | indirekt |
| PyPI | open-spiel | — | indirekt |
| PyPI | optax | — | indirekt |
| PyPI | pip | — | indirekt |
| PyPI | recommonmark | 0.7.1 | indirekt |
| PyPI | rlax | — | indirekt |
| PyPI | setuptools | — | indirekt |
| PyPI | sphinx | 5.1 | indirekt |
| PyPI | sphinx-markdown-tables | 0.0.17 | indirekt |
| PyPI | sphinx-rtd-theme | 1.3.0 | indirekt |
| PyPI | wandb | — | indirekt |
Abhängigkeits-Advisories 0
Die Installation von pypi:open_spiel@2.0.1 zieht 6 Pakete nach sich, direkt und transitiv: 0 tragen bekannte Advisories, davon 0 direkte Abhängigkeiten.
Keine bekannten Advisories betreffen die bewerteten Abhängigkeiten.
Ein Advisory bedeutet, dass die im Abhängigkeitsgraphen erfasste Version in den betroffenen Bereich eines Advisories fällt. Erreichbarkeit wird nicht analysiert, und der Graph enthält Entwicklungs- und Test-Pins — ein Fund kann das Werkzeug betreffen und nicht die ausgelieferte Software.
JSON-Rohbericht maschinenlesbar
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"Go": 18010,
"C++": 6480699,
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"pushed_at": "2026-07-17T14:17:52Z",
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"published_at": "2026-07-14T02:28:05Z"
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{
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"published_at": "2026-05-22T15:14:56Z"
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{
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"published_at": "2026-05-01T13:03:18Z"
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{
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{
"tag": "v1.6.10",
"kind": "patch",
"published_at": "2025-12-15T16:59:19Z"
},
{
"tag": "v1.6.9",
"kind": "patch",
"published_at": "2025-10-31T20:10:32Z"
},
{
"tag": "v1.6.8",
"kind": "patch",
"published_at": "2025-10-20T16:26:18Z"
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{
"tag": "v1.6.7",
"kind": "patch",
"published_at": "2025-10-17T16:28:11Z"
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{
"tag": "v1.6.5",
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"published_at": "2025-10-16T09:44:12Z"
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{
"tag": "v1.6.4",
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"published_at": "2025-10-10T19:26:18Z"
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{
"tag": "v1.6.3",
"kind": "patch",
"published_at": "2025-10-03T19:46:55Z"
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{
"tag": "v1.6.2",
"kind": "patch",
"published_at": "2025-10-02T11:55:06Z"
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{
"tag": "v1.6.1",
"kind": "patch",
"published_at": "2025-08-15T19:04:35Z"
},
{
"tag": "v1.6",
"kind": "other",
"published_at": "2025-05-30T17:49:17Z"
},
{
"tag": "v1.5",
"kind": "other",
"published_at": "2024-06-01T10:54:04Z"
},
{
"tag": "v1.4",
"kind": "other",
"published_at": "2023-11-16T10:20:07Z"
},
{
"tag": "v1.3",
"kind": "other",
"published_at": "2023-05-30T18:49:45Z"
},
{
"tag": "v1.2",
"kind": "other",
"published_at": "2022-08-21T23:05:25Z"
},
{
"tag": "v1.1.1",
"kind": "patch",
"published_at": "2022-05-28T17:09:43Z"
},
{
"tag": "v1.1.0",
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"published_at": "2022-02-28T10:02:16Z"
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"points": 25,
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}
],
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{
"key": "watchers",
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"points": 11.2,
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{
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]
},
{
"key": "community_health",
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"note": null,
"notes": [],
"value": 70,
"inputs": {
"has_readme": true,
"has_license": true,
"has_contributing": true,
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"components": [
{
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"status": "met",
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},
{
"key": "license",
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"detail": "recognized license (Apache-2.0)",
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"status": "met",
"details": [
{
"code": "license_standard",
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},
{
"code": "license_spdx",
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{
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{
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"points": 0,
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{
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{
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],
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},
{
"key": "governance",
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{
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{
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{
"key": "openssf_scorecard_contributors",
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]
},
{
"key": "responsiveness",
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"closed_unmerged_prs": 216
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"components": [
{
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{
"code": "issues_closed_share",
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{
"key": "pr_acceptance",
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{
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{
"key": "stewardship",
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"note": null,
"notes": [],
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"is_verified": null,
"owner_login": "google-deepmind",
"public_repos": 397,
"account_age_days": 4348
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"components": [
{
"key": "ownership_backing",
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{
"code": "owner_organization",
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{
"key": "verified_domain",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
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{
"key": "owner_reach",
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"detail": "25,725 followers of google-deepmind",
"points": 25,
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"details": [
{
"code": "owner_followers",
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"login": "google-deepmind"
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"max_points": 25
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{
"key": "track_record",
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"detail": "397 public repos, account ~11 yr old",
"points": 25,
"status": "met",
"details": [
{
"code": "public_repos",
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"count": 397
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},
{
"code": "account_age_years",
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"years": 11
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}
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"max_points": 25
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]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "good",
"name": "Engineering Quality",
"value": 75,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "moderate",
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"note": null,
"notes": [],
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{
"key": "ci_workflows",
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"detail": "2 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
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}
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"max_points": 24
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{
"key": "tests_present",
"name": "Tests present",
"detail": null,
"points": 24,
"status": "met",
"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
"detail": null,
"points": 0,
"status": "missed",
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"max_points": 16
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{
"key": "pre_commit_hooks",
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"points": 0,
"status": "missed",
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{
"key": "editorconfig",
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"points": 0,
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{
"key": "openssf_scorecard_ci_tests",
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]
},
{
"key": "documentation",
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"name": "Documentation",
"note": null,
"notes": [],
"value": 85,
"inputs": {
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"homepage": null,
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"components": [
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"key": "readme",
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{
"key": "documentation_directory",
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"detail": null,
"points": 25,
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"details": [],
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{
"key": "documentation_homepage_site",
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"points": 0,
"status": "missed",
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{
"key": "repository_description",
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"points": 10,
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{
"key": "topics",
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"status": "met",
"details": [
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"code": "topics_count",
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"count": 5
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}
],
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{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "good",
"name": "Security",
"value": 72,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "moderate",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.",
"notes": [
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"code": "excluded_no_data",
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"components": [
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{
"code": "weights_renormalized",
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],
"value": 65,
"inputs": {
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"scorecard_aggregate": 6.5
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"components": [
{
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"points": 7.5,
"status": "met",
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{
"key": "branch_protection",
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"points": 0,
"status": "excluded",
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{
"code": "no_data",
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],
"max_points": 7.5
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{
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{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
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{
"key": "code_review",
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{
"key": "contributors",
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"status": "met",
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{
"key": "dangerous_workflow",
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"status": "met",
"details": [],
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},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "update tool detected",
"points": 7.5,
"status": "met",
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},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
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"max_points": 5
},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "30 commit(s) and 9 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
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"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 5
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{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "sast",
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"detail": "SAST tool is not run on all commits -- score normalized to 4",
"points": 2,
"status": "partial",
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},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
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{
"key": "token_permissions",
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"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"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": "dependency_advisories",
"band": "excellent",
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"notes": [
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"code": "excluded_no_data",
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{
"code": "weights_renormalized",
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{
"code": "advisories_scope_published",
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},
{
"code": "advisories_reachability",
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}
],
"value": 100,
"inputs": {
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"direct_affected_packages": 0
},
"components": [
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"key": "direct_dependencies_free_of_known_advisories",
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"code": "no_direct_advisories",
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}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "no indirect dependency carries a known advisory",
"points": 25,
"status": "met",
"details": [
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"code": "no_indirect_advisories",
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],
"max_points": 25
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{
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"points": 0,
"status": "excluded",
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],
"max_points": 40
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]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
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],
"max_points": 100
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]
},
{
"key": "high_risk_jurisdiction_exposure",
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"notes": [
{
"code": "jurisdiction_evidence_limits",
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}
],
"value": 100,
"inputs": {
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"components": [
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"key": "policy_exposure_multiplier",
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"code": "jurisdiction_no_match",
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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?"
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{
"key": "ai_readiness",
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"name": "AI Readiness",
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"weight": 0,
"metrics": [
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"key": "ai_agent_context",
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"components": [
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],
"max_points": 45
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{
"key": "machine_readable_docs_llms_txt",
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"status": "missed",
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}
],
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]
},
{
"key": "ai_verify_loop",
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"notes": [],
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"components": [
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"details": [
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"code": "file_list",
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],
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{
"key": "automated_tests",
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"points": 22,
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{
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"status": "missed",
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},
{
"key": "static_type_checking",
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"points": 11,
"status": "met",
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],
"max_points": 11
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{
"key": "reproducible_environment",
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"details": [
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"code": "file_list",
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],
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{
"key": "demonstrated_agent_practice",
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"points": 0,
"status": "missed",
"details": [
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],
"max_points": 10
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{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no automated dependency updates observed",
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"status": "missed",
"details": [
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],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
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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."
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},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"pypi package 'open_spiel' points at a different repository (https://github.com/deepmind/open_spiel.git); excluded from ecosystem scoring",
"pypi package 'open-spiel' points at a different repository (https://github.com/deepmind/open_spiel.git); excluded from ecosystem scoring",
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],
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}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 v0.27.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.