PyTorch native quantization and sparsity for training and inference
pytorch/ao erreicht einen Gesundheitsindex von 84 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (93/100) ab, am schwächsten bei AI Readiness (69/100). Zuletzt heute aktualisiert. 5 Mitwirkende tragen den Großteil der jüngsten Arbeit.
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.
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.
Dieses Repository wird von einer Organisation getragen — geteilte, rechenschaftspflichtige Trägerschaft, die jeden einzelnen Maintainer überdauern kann.
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
| 36/36 | Push-Aktualität — letzter Push vor 0 Tagen |
| 36/36 | Commit-Rhythmus — 52/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 1.170 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| commits_last_year | 1.170 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 52 |
| 27/27 | Liefert Releases aus — 17 Releases veröffentlicht |
| 27/36 | Release-Aktualität — letztes Release vor 112 Tagen |
| 19.8/27 | Release-Rhythmus — ein Release etwa alle 48,8 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
| releases_count | 17 |
| latest_release_tag | v0.17.0 |
| releases_from_tags | nein |
| days_since_latest_release | 112 |
| mean_days_between_releases | 48,8 |
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
| 56.2/60 | Stars — 2.909 Stars |
| 22.9/25 | Forks — 565 Forks |
| 9.1/15 | Watcher — 44 Watcher |
| forks | 565 |
| stars | 2.909 |
| watchers | 44 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
| 22.5/22.5 | README |
| 16.9/22.5 | Lizenz — Lizenzdatei vorhanden, keine anerkannte Lizenz |
| 18/18 | CONTRIBUTING-Leitfaden |
| 13.5/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
| has_readme | ja |
| has_license | ja |
| has_contributing | ja |
| has_issue_template | nein |
| has_code_of_conduct | ja |
| has_pull_request_template | nein |
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
| 45.9/54 | Bus-Faktor — 5 Beitragende decken die Hälfte aller Commits ab |
| 19/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 16 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 100 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations |
| bus_factor | 5 |
| contributors_sampled | 100 |
| top_contributor_share | 0,157 |
| 23/46.8 | Issue-Lösungsquote — 49 % der Issues geschlossen |
| 30.6/38.3 | PR-Annahme — 2.684/3.355 entschiedene PRs gemergt |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
| merged_prs | 2.684 |
| open_issues | 417 |
| closed_issues | 405 |
| issue_closed_ratio | 0,493 |
| closed_unmerged_prs | 671 |
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 25/25 | Reichweite des Inhabers — 13.367 Follower von pytorch |
| 25/25 | Kontohistorie — 70 öffentliche Repos, Kontoalter ca. 9 Jahre |
| followers | 13.367 |
| owner_type | Organization |
| is_verified | — |
| owner_login | pytorch |
| public_repos | 70 |
| account_age_days | 3.628 |
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
| 24/24 | CI-Workflows — 21 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — ruff.toml |
| 9.6/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 18/20 | OpenSSF Scorecard: CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9 |
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | ja |
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://pytorch.org/ao/stable/index.html |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 12 Topics |
| 0/10 | Wiki |
| topics | brrr, dtypes, inference, mx, pytorch, quantization, sparsity, training, float8, transformer, cuda, llama |
| has_wiki | nein |
| homepage | https://pytorch.org/ao/stable/index.html |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0.8/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.2/2.5 | CI-Tests — 29 out of 30 merged PRs checked by a CI test -- score normalized to 9 |
| 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 13 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 |
| 2.2/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 0 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 |
| 1/5 | SAST — SAST tool is not run on all commits -- score normalized to 2 |
| 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 |
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 6,1 |
| 35/35 | Direkte Abhängigkeiten ohne bekannte Advisories — keine direkte Abhängigkeit trägt ein bekanntes Advisory |
| 0/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — transitive Menge in diesem Bereich nicht von Entwicklungs- und Test-Abhängigkeiten trennbar |
| 0/40 | Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum |
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 14 |
| unassessed_packages | 34 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
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.
| 45/45 | Agentenanweisungen — CLAUDE.md |
| 15/15 | Maschinenlesbare Doku (llms.txt) — llms.txt vorhanden |
| 0/40 | Lesbare Commit-Historie — keine Daten |
| has_llms_txt | ja |
| legible_history_share | — |
| agent_instruction_files | CLAUDE.md |
| agent_instruction_max_bytes | 2.014 |
| 18/18 | Bootstrap mit einem Befehl — docs/Makefile, torchao/experimental/kernels/mps/test/Makefile |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration — ruff.toml |
| 0/11 | Statische Typprüfung |
| 0/10 | Reproduzierbare Umgebung |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 0/8 | Automatisierte Wartung — keine Daten |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| has_nix | nein |
| has_tests | ja |
| lockfiles | — |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | docs/Makefile, torchao/experimental/kernels/mps/test/Makefile |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 54/55 | Handhabbare Dateigrößen — 16/885 Quelldateien über 60 KB |
| primary_language | Python |
| largest_source_bytes | 162.563 |
| source_files_sampled | 885 |
| oversized_source_files | 16 |
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples |
| example_dirs | examples |
| has_mcp_signal | nein |
| api_schema_files | — |
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 |
| 1 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 9 | CI-Tests | 29 out of 30 merged PRs checked by a CI test -- score normalized to 9 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 13 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 |
| 9 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 0 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 |
| 2 | SAST | SAST tool is not run on all commits -- score normalized to 2 |
| 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 |
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 48 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | auto-round | — | indirekt |
| PyPI | bitsandbytes | — | indirekt |
| PyPI | blobfile | — | indirekt |
| PyPI | cmake | — | indirekt |
| PyPI | datasets | — | indirekt |
| PyPI | diskcache | — | indirekt |
| PyPI | docutils | 0.20 | indirekt |
| PyPI | expecttest | — | indirekt |
| PyPI | fastapi | — | indirekt |
| PyPI | fire | — | indirekt |
| PyPI | hydra-core | — | indirekt |
| PyPI | hypothesis | — | indirekt |
| PyPI | importlib-metadata | — | indirekt |
| PyPI | iopath | — | indirekt |
| PyPI | lm-eval | — | indirekt |
| PyPI | matplotlib | — | indirekt |
| PyPI | myst-parser | 4.0.1 | indirekt |
| PyPI | ninja | — | indirekt |
| PyPI | numpy | — | indirekt |
| PyPI | opencv-python | — | indirekt |
| PyPI | packaging | — | indirekt |
| PyPI | pandas | — | indirekt |
| PyPI | parameterized | — | indirekt |
| PyPI | pre-commit | — | indirekt |
| PyPI | pycocotools | — | indirekt |
| PyPI | pytest | 9.0.3 | indirekt |
| PyPI | python-multipart | — | indirekt |
| PyPI | pytorch-sphinx-theme2 | 0.4.3 | indirekt |
| PyPI | pyyaml | — | indirekt |
| PyPI | requests | — | indirekt |
| PyPI | ruff | 0.11.6 | indirekt |
| PyPI | scipy | — | indirekt |
| PyPI | sentencepiece | — | indirekt |
| PyPI | sphinx | 7.2.6 | indirekt |
| PyPI | sphinx-copybutton | 0.5.2 | indirekt |
| PyPI | sphinx-design | 0.6.1 | indirekt |
| PyPI | sphinx-gallery | 0.11.1 | indirekt |
| PyPI | sphinx-sitemap | 2.6.0 | indirekt |
| PyPI | sphinx-tabs | 3.4.7 | indirekt |
| PyPI | sphinxcontrib-katex | 0.8.6 | indirekt |
| PyPI | sphinxcontrib-mermaid | 1.0.0 | indirekt |
| PyPI | sphinxext-opengraph | 0.9.1 | indirekt |
| PyPI | tabulate | — | indirekt |
| PyPI | tiktoken | — | indirekt |
| PyPI | tqdm | — | indirekt |
| PyPI | transformers | — | indirekt |
| PyPI | unittest-xml-reporting | — | indirekt |
| PyPI | uvicorn | — | indirekt |
Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 14 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 0 tragen bekannte Advisories, davon 0 direkte. 34 konnten nicht bewertet werden – keine aufgelöste Version, ein nicht unterstütztes Ökosystem, oder außerhalb der ausgewiesenen Paketliste.
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.
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{
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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 v0.16.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken.