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Software-GesundheitsberichtSchema 0.11.0 · Metriken 1.13.0 · 2026-07-17 00:16 UTC
NVIDIA / cuda-python
CUDA Python: Performance meets Productivity
NVIDIA/cuda-python erreicht einen Gesundheitsindex von 83 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (95/100) ab, am schwächsten bei Security (70/100). Zuletzt heute aktualisiert. 3 Mitwirkende tragen den Großteil der jüngsten Arbeit.
83
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.
83
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
NVIDIA CorporationOrganisation
28.050 Follower766 öffentliche Reposseit Mai 2012
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 |
|---|---|---|---|---|---|
| PyPI | cuda-bindings | 13.3.1 | - | 20 | vor 48 Tagen |
| PyPI | cuda-core | 1.1.0 | - | 15 | vor 7 Tagen |
| PyPI | cuda-pathfinder | 1.5.6 | - | 25 | vor 16 Tagen |
| PyPI | cuda-python | 13.3.1 | - | 43 | vor 48 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
95
Entwicklungsaktivität
99Exzellent
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 0 Tagen |
| 35.3/36 | Commit-Rhythmus — 51/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 829 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 23 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 829 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 51 |
Release-Disziplin
90Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 83 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 7 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 9,6 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Verwendete Eingangsdaten
| releases_count | 83 |
| latest_release_tag | cuda-core-v1.1.0 |
| releases_from_tags | nein |
| days_since_latest_release | 7 |
| mean_days_between_releases | 9,6 |
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
82
Popularität & Verbreitung
87Exzellent
Wie die Bewertung erfolgt
| 57.1/60 | Stars — 3.316 Stars |
| 20.7/25 | Forks — 307 Forks |
| 9.4/15 | Watcher — 50 Watcher |
Verwendete Eingangsdaten
| forks | 307 |
| stars | 3.316 |
| watchers | 50 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
77Gut
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 |
| 6.3/6.3 | 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 | ja |
Nachhaltigkeit & Governance
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
84
Wie die Bewertung erfolgt
| 36/54 | Bus-Faktor — 3 Beitragende decken die Hälfte aller Commits ab |
| 16.3/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 28 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 64 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 39 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 3 |
| contributors_sampled | 64 |
| top_contributor_share | 0,276 |
Wie die Bewertung erfolgt
| 36.5/46.8 | Issue-Lösungsquote — 78 % der Issues geschlossen |
| 32.3/38.3 | PR-Annahme — 1.167/1.380 entschiedene PRs gemergt |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Verwendete Eingangsdaten
| merged_prs | 1.167 |
| open_issues | 202 |
| closed_issues | 721 |
| issue_closed_ratio | 0,781 |
| closed_unmerged_prs | 213 |
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 25/25 | Reichweite des Inhabers — 28.050 Follower von NVIDIA |
| 25/25 | Kontohistorie — 766 öffentliche Repos, Kontoalter ca. 14 Jahre |
Verwendete Eingangsdaten
| followers | 28.050 |
| owner_type | Organization |
| is_verified | — |
| owner_login | NVIDIA |
| public_repos | 766 |
| account_age_days | 5.180 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 4 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 7 Tagen |
| 20/20 | Versionshistorie — 43 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | cuda-bindings, cuda-core, cuda-pathfinder, cuda-python |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 7 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
82
Engineering-Praktiken
94Exzellent
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 20 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — ruff.toml |
| 9.6/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 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 | ja |
| has_precommit_config | ja |
Dokumentation
65Mittel
Wie die Bewertung erfolgt
| 30/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://nvidia.github.io/cuda-python/ |
| 10/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 10/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| has_wiki | ja |
| homepage | https://nvidia.github.io/cuda-python/ |
| has_readme | ja |
| has_docs_dir | nein |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
70
Sicherheitslage
70Gut
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 3/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 30 out of 30 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 |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 2.5/2.5 | Contributors — project has 39 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 23 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 2.5/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5 |
| 3.5/5 | SAST — SAST tool detected but not run on all commits |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 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 | 18 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 0 |
| scorecard_aggregate | 7 |
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.
73
Wie die Bewertung erfolgt
| 45/45 | Agentenanweisungen — AGENTS.md, CLAUDE.md, benchmarks/cuda_bindings/AGENTS.md, benchmarks/cuda_core/AGENTS.md, cuda_bindings/AGENTS.md, cuda_bindings/CLAUDE.md, cuda_core/AGENTS.md, cuda_core/CLAUDE.md, cuda_pathfinder/AGENTS.md, cuda_pathfinder/CLAUDE.md, cuda_python/AGENTS.md, cuda_python/CLAUDE.md |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 0/40 | Lesbare Commit-Historie — keine Daten |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | — |
| agent_instruction_files | AGENTS.md, CLAUDE.md, benchmarks/cuda_bindings/AGENTS.md, benchmarks/cuda_core/AGENTS.md, cuda_bindings/AGENTS.md, cuda_bindings/CLAUDE.md, cuda_core/AGENTS.md, cuda_core/CLAUDE.md, cuda_pathfinder/AGENTS.md, cuda_pathfinder/CLAUDE.md, cuda_python/AGENTS.md, cuda_python/CLAUDE.md |
| agent_instruction_max_bytes | 17.215 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — cuda_bindings/docs/Makefile, cuda_core/docs/Makefile, cuda_pathfinder/docs/Makefile, cuda_python/docs/Makefile |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration — ruff.toml |
| 11/11 | Statische Typprüfung — cuda_core/cuda/core/py.typed |
| 0/10 | Reproduzierbare Umgebung |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 5/8 | Automatisierte Wartung — Abhängigkeits-Automatisierung konfiguriert, in den erfassten Commits nicht beobachtet |
| 5/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5 |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | — |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | cuda_bindings/docs/Makefile, cuda_core/docs/Makefile, cuda_pathfinder/docs/Makefile, cuda_python/docs/Makefile |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | cuda_core/cuda/core/py.typed |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis. Die verbleibenden Gewichte wurden renormalisiert.
Wie die Bewertung erfolgt
| 27/45 | Typprüfbarer Code — Cython mit Typprüfungs-Konfiguration (cuda_core/cuda/core/py.typed) |
| 54.1/55 | Handhabbare Dateigrößen — 5/317 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Cython |
| largest_source_bytes | 103.852 |
| source_files_sampled | 317 |
| oversized_source_files | 5 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples |
Verwendete Eingangsdaten
| example_dirs | examples |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
3.316GitHub-Sterne
64Mitwirkende
829Commits, letzte 12 Monate
0Tage seit letztem Push
83Releases
3Bus-Faktor
202offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Could not fetch pypi package 'cuda-python-test-helpers' from its registry
Weitere Details
OpenSSF Scorecard 7.0 / 10
7.0Gesamtwert
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 |
| 4 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 30 out of 30 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 |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 39 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 23 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 5 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 5 |
| 7 | SAST | SAST tool detected but not run on all commits |
| 10 | Security-Policy | security policy file detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Direkte Abhängigkeiten 4
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | cuda-pathfinder | >=1.4.2 | cuda_bindings/pyproject.toml |
| PyPI | cuda-pathfinder | >=1.4.2 | cuda_core/pyproject.toml |
| PyPI | numpy | — | cuda_core/pyproject.toml |
| PyPI | backports.strenum | — | cuda_core/pyproject.toml |
Alle Abhängigkeiten 21
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 2 direkte und 19 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | cuda-pathfinder | — | direkt |
| PyPI | numpy | — | direkt |
| PyPI | cloudpickle | 3.1.2 | indirekt |
| PyPI | cuda-bindings | — | indirekt |
| PyPI | cuda-toolkit | — | indirekt |
| PyPI | cython | — | indirekt |
| PyPI | ml-dtypes | — | indirekt |
| PyPI | nvidia-cudla | — | indirekt |
| PyPI | nvidia-nvshmem-cu12 | — | indirekt |
| PyPI | nvidia-nvshmem-cu13 | — | indirekt |
| PyPI | psutil | 7.2.2 | indirekt |
| PyPI | pyglet | 2.1.14 | indirekt |
| PyPI | pytest | 9.1.0 | indirekt |
| PyPI | pytest-benchmark | 5.2.3 | indirekt |
| PyPI | pytest-mock | 3.15.1 | indirekt |
| PyPI | pytest-randomly | 4.1.0 | indirekt |
| PyPI | pytest-repeat | 0.9.4 | indirekt |
| PyPI | pytest-rerunfailures | 16.3 | indirekt |
| PyPI | pytest-timeout | 2.4.0 | indirekt |
| PyPI | setuptools | — | indirekt |
| PyPI | setuptools-scm | — | indirekt |
JSON-Rohbericht maschinenlesbar
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{
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},
"warnings": [
"Could not fetch pypi package 'cuda-python-test-helpers' from its registry"
],
"report_type": "repository",
"generated_at": "2026-07-17T00:16:10.232759Z",
"schema_version": "0.11.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/n/NVIDIA/cuda-python.svg",
"full_name": "NVIDIA/cuda-python",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}Bewertungen sind Signale, keine Garantien. Sie spiegeln öffentlich sichtbare Praxis auf GitHub wider — kein Code-Audit und keine Sicherheitsgarantie.
Fehlende Daten werden ausgeschlossen und die Gewichte neu normiert, nie als null bewertet. Die Methodik ist versioniert und offen: Metriken v1.13.0, Schema v0.11.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.