Öffentliches RegisterGut
Software-GesundheitsberichtSchema 0.17.0 · Metriken 1.13.0 · 2026-07-21 04:42 UTC
NVIDIA / TensorRT
NVIDIA® TensorRT™ is an SDK for high-performance deep learning inference on NVIDIA GPUs. This repository contains the open source components of TensorRT.
NVIDIA/TensorRT erreicht einen Gesundheitsindex von 70 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Community & Adoption (88/100) ab, am schwächsten bei Security (21/100). Zuletzt vor 13 Tagen aktualisiert. 3 Mitwirkende tragen den Großteil der jüngsten Arbeit.
70
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.
70
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
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
28.173 Follower769 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 | Tags |
|---|---|---|---|---|---|---|
| PyPI | polygraphy | 0.50.3 | 211.647 | 12 | vor 54 Tagen | — |
| PyPI | onnx_graphsurgeon | 0.6.1 | 719.076 | 8 | vor 103 Tagen | — |
| PyPI | pytorch_quantizationverweist auf ein anderes Repo — nicht bewertet | 2.2.1 | - | 5 | vor 990 Tagen | nvidiadeep-learningmachine-learningsupervised-learningunsupervised-learningreinforcement-learninglogging |
| PyPI | polygraphy_trtexec | 0.0.9 | - | 3 | vor 1062 Tagen | — |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
76
Entwicklungsaktivität
60Mittel
Wie die Bewertung erfolgt
| 28.8/36 | Push-Aktualität — letzter Push vor 13 Tagen |
| 12.5/36 | Commit-Rhythmus — 18/52 Wochen mit Commits |
| 12.7/18 | Commit-Volumen — 25 Commits im letzten Jahr |
| 0/10 | OpenSSF Scorecard: Maintained — keine Daten |
Verwendete Eingangsdaten
| commits_last_year | 25 |
| human_commit_share | — |
| days_since_last_push | 13 |
| active_weeks_last_year | 18 |
Release-Disziplin
100Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 70 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 26 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 44,3 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 70 |
| latest_release_tag | v11.1 |
| releases_from_tags | nein |
| days_since_latest_release | 26 |
| mean_days_between_releases | 44,3 |
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
88
Popularität & Verbreitung
97Exzellent
Wie die Bewertung erfolgt
| 60/60 | Stars — 13.169 Stars |
| 25/25 | Forks — 2.389 Forks |
| 12.2/15 | Watcher — 157 Watcher |
Verwendete Eingangsdaten
| forks | 2.389 |
| stars | 13.169 |
| watchers | 157 |
| growth_state | organic |
| growth_factor_pct | 100 |
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 |
Ökosystem-Verbreitung (Downloads)
99Exzellent
Wie die Bewertung erfolgt
| 79.6/80 | Downloads pro Monat — 930.723 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | polygraphy, onnx_graphsurgeon, polygraphy_trtexec |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 930.723 |
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?
81
Wie die Bewertung erfolgt
| 36/54 | Bus-Faktor — 3 Beitragende decken die Hälfte aller Commits ab |
| 15/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 33 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 83 Beitragende |
| 0/10 | OpenSSF Scorecard: Contributors — keine Daten |
Verwendete Eingangsdaten
| bus_factor | 3 |
| contributors_sampled | 83 |
| top_contributor_share | 0,334 |
Wie die Bewertung erfolgt
| 40.5/46.8 | Issue-Lösungsquote — 87 % der Issues geschlossen |
| 25.1/38.3 | PR-Annahme — 323/492 entschiedene PRs gemergt |
| 0/15 | OpenSSF Scorecard: Code-Review — keine Daten |
Verwendete Eingangsdaten
| merged_prs | 323 |
| open_issues | 560 |
| closed_issues | 3.657 |
| issue_closed_ratio | 0,867 |
| closed_unmerged_prs | 169 |
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 25/25 | Reichweite des Inhabers — 28.173 Follower von NVIDIA |
| 25/25 | Kontohistorie — 769 öffentliche Repos, Kontoalter ca. 14 Jahre |
Verwendete Eingangsdaten
| followers | 28.173 |
| owner_type | Organization |
| is_verified | — |
| owner_login | NVIDIA |
| public_repos | 769 |
| account_age_days | 5.184 |
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 3 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 54 Tagen |
| 20/20 | Versionshistorie — 12 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | polygraphy, onnx_graphsurgeon, polygraphy_trtexec |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 54 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
74
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 5 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — .pylintrc |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — keine Daten |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | nein |
Dokumentation
65Mittel
Wie die Bewertung erfolgt
| 30/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://developer.nvidia.com/tensorrt |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 5 Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | tensorrt, nvidia, deep-learning, inference, gpu-acceleration |
| has_wiki | nein |
| homepage | https://developer.nvidia.com/tensorrt |
| has_readme | ja |
| has_docs_dir | nein |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
21
Sicherheitslage
1Kritisch
Wie die Bewertung erfolgt
| 0/30 | Sicherheitsrichtlinie (SECURITY.md) |
| 0/25 | Dependabot-Konfiguration |
| 0/25 | Lockfiles für Abhängigkeiten — veröffentlichte Bibliothek — Lockfiles sind Sache der Anwendung, hier nicht erwartet |
| 0/20 | CodeQL-Workflow |
Verwendete Eingangsdaten
| source | file_signals |
| lockfiles | — |
| manifests | python/requirements.txt |
| has_codeql_workflow | nein |
| has_security_policy | nein |
| has_dependabot_config | nein |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lockfiles für Abhängigkeiten. 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 |
| 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 |
Verwendete Eingangsdaten
| source | osv |
| advisories | 744 |
| affected_packages | 29 |
| assessed_packages | 75 |
| unassessed_packages | 50 |
| affected_by_severity | critical 8, high 7, moderate 2, unknown 12 |
| direct_affected_packages | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Indirekte Abhängigkeiten ohne bekannte Advisories, Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. 75 aufgelöste Abhängigkeiten wurden mit OSV abgeglichen. 50 konnten nicht bewertet werden — keine aufgelöste Version, ein nicht unterstütztes Ökosystem oder außerhalb der ausgewiesenen Paketliste. Dieses Repository veröffentlicht kein Paket, das der Index auflöst; bewertet wurde daher der Abhängigkeitsgraph des Repositorys. Dieser Graph vermischt Entwicklungs- und Test-Pins mit ausgelieferten Abhängigkeiten, daher werden nur die deklarierten Laufzeit-Abhängigkeiten bewertet; transitive Befunde werden als Kontext ausgewiesen und fließen nicht in die Bewertung ein. 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.
54
AI-Agentenkontext & Leitlinien
1Kritisch
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 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 | — |
| agent_instruction_max_bytes | — |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Lesbare Commit-Historie. Die verbleibenden Gewichte wurden renormalisiert.
AI-Verify-Loop (Build / Test / Typprüfung)
86Exzellent
Wie die Bewertung erfolgt
| 18/18 | Bootstrap mit einem Befehl — quickstart/Makefile, quickstart/SemanticSegmentation/Makefile, tools/Polygraphy/Makefile, tools/onnx-graphsurgeon/Makefile, tools/polygraphy-extension-trtexec/Makefile, tools/pytorch-quantization/docs/Makefile, tools/tensorflow-quantization/docs/Makefile |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration — .pylintrc |
| 11/11 | Statische Typprüfung — C++ (statisch typisiert) |
| 0/10 | Reproduzierbare Umgebung |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 0/8 | Automatisierte Wartung — keine Daten |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — keine Daten |
Verwendete Eingangsdaten
| has_nix | nein |
| has_tests | ja |
| lockfiles | — |
| has_dockerfile | nein |
| typed_language | ja |
| bootstrap_files | quickstart/Makefile, quickstart/SemanticSegmentation/Makefile, tools/Polygraphy/Makefile, tools/onnx-graphsurgeon/Makefile, tools/polygraphy-extension-trtexec/Makefile, tools/pytorch-quantization/docs/Makefile, tools/tensorflow-quantization/docs/Makefile |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Belegte Agentenpraxis, Automatisierte Wartung. Die verbleibenden Gewichte wurden renormalisiert.
AI-Code-Lesbarkeit für Modelle
90Exzellent
Wie die Bewertung erfolgt
| 45/45 | Typprüfbarer Code — C++ (statisch typisiert) |
| 44.8/55 | Handhabbare Dateigrößen — 199/1.073 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | C++ |
| largest_source_bytes | 3.041.274 |
| source_files_sampled | 1.073 |
| oversized_source_files | 199 |
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, samples |
Verwendete Eingangsdaten
| example_dirs | examples, notebooks, samples |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
13.169GitHub-Sterne
83Mitwirkende
25Commits, letzte 12 Monate
13Tage seit letztem Push
70Releases
3Bus-Faktor
560offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- pypi package 'pytorch_quantization' points at a different repository (https://github.com/NVIDIA); excluded from ecosystem scoring
- Could not fetch pypi package 'tensorflow_quantization' from its registry
- Advisory severity resolved for 120 of 422 advisories (lookup cap); the remainder are reported as unknown severity
- OpenSSF Scorecard did not return a usable result (2026/07/21 04:41:52 Warning: PATs stored in env variables GITHUB_AUTH_TOKEN and GITHUB_TOKEN differ. Scorecard will use the former.); skipping Scorecard checks
Weitere Details
Stern- und Fork-Verlauf 13.169 ★ / 0 ⇿
13.169Sterne
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.
Alle Abhängigkeiten 125
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 125 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | absl-py | — | indirekt |
| PyPI | accelerate | 1.2.1 | indirekt |
| PyPI | apex | 0.9.10dev | indirekt |
| PyPI | argparse | — | indirekt |
| PyPI | build | 1.0.0 | indirekt |
| PyPI | colored | — | indirekt |
| PyPI | colored | 2.3.2 | indirekt |
| PyPI | controlnet-aux | 0.0.6 | indirekt |
| PyPI | cuda-bindings | — | indirekt |
| PyPI | cuda-python | — | indirekt |
| PyPI | cuda-python | 12.9.0 | indirekt |
| PyPI | cupy-cuda12x | — | indirekt |
| PyPI | cupy-cuda12x | 13.6.0 | indirekt |
| PyPI | diffusers | 0.35.2 | indirekt |
| PyPI | docutils | 0.16 | indirekt |
| PyPI | docutils | 0.18.1 | indirekt |
| PyPI | ftfy | — | indirekt |
| PyPI | furo | 2024.8.6 | indirekt |
| PyPI | gcloud | — | indirekt |
| PyPI | google-cloud-storage | — | indirekt |
| PyPI | huggingface-hub | 0.11.0 | indirekt |
| PyPI | huggingface-hub | 0.4.0 | indirekt |
| PyPI | imageio-ffmpeg | — | indirekt |
| PyPI | matplotlib | — | indirekt |
| PyPI | ml-dtypes | — | indirekt |
| PyPI | mpi4py | 4.1.1 | indirekt |
| PyPI | myst-parser | 3.0.1 | indirekt |
| PyPI | nccl4py | 0.1.1 | indirekt |
| PyPI | nltk | 3.9.1 | indirekt |
| PyPI | numba | — | indirekt |
| PyPI | numba-cuda | — | indirekt |
| PyPI | numpy | — | indirekt |
| PyPI | numpy | 1.23.0 | indirekt |
| PyPI | numpy | 1.23.1 | indirekt |
| PyPI | numpy | 1.26.4 | indirekt |
| PyPI | nvidia-cutlass-dsl | 4.5.0 | indirekt |
| PyPI | nvidia-modelopt | 0.31.0 | indirekt |
| PyPI | nvidia-modelopt | 0.35.0 | indirekt |
| PyPI | nvidia-pyindex | — | indirekt |
| PyPI | nvidia-tensorrt | — | indirekt |
| PyPI | nvtx | — | indirekt |
| PyPI | onnx | — | indirekt |
| PyPI | onnx | 1.13.1 | indirekt |
| PyPI | onnx | 1.14.0 | indirekt |
| PyPI | onnx | 1.17.0 | indirekt |
| PyPI | onnx | 1.18.0 | indirekt |
| PyPI | onnx | 1.20.0 | indirekt |
| PyPI | onnx | 1.9.0 | indirekt |
| PyPI | onnx-graphsurgeon | — | indirekt |
| PyPI | onnx-graphsurgeon | 0.5.2 | indirekt |
| PyPI | onnxconverter-common | 1.12.2 | indirekt |
| PyPI | onnxmltools | 1.11.1 | indirekt |
| PyPI | onnxruntime | — | indirekt |
| PyPI | onnxruntime | 1.12.1 | indirekt |
| PyPI | onnxruntime | 1.15.0 | indirekt |
| PyPI | onnxruntime | 1.18.1 | indirekt |
| PyPI | onnxruntime | 1.19.2 | indirekt |
| PyPI | onnxruntime | 1.8.1 | indirekt |
| PyPI | onnxruntime-gpu | — | indirekt |
| PyPI | onnxscript | — | indirekt |
| PyPI | onnxscript | 0.5.4 | indirekt |
| PyPI | opencv-python-headless | 4.8.0.74 | indirekt |
| PyPI | peft | 0.17.0 | indirekt |
| PyPI | pillow | — | indirekt |
| PyPI | pillow | 11.3.0 | indirekt |
| PyPI | polygraphy | — | indirekt |
| PyPI | polygraphy | 0.49.0 | indirekt |
| PyPI | polygraphy | 0.49.22 | indirekt |
| PyPI | polygraphy | 0.50.1 | indirekt |
| PyPI | prettytable | — | indirekt |
| PyPI | protobuf | — | indirekt |
| PyPI | protobuf | 3.20.2 | indirekt |
| PyPI | protobuf | 3.20.3 | indirekt |
| PyPI | pycuda | — | indirekt |
| PyPI | pytest | — | indirekt |
| PyPI | pytest-console-scripts | — | indirekt |
| PyPI | pytest-rerunfailures | — | indirekt |
| PyPI | pytest-virtualenv | — | indirekt |
| PyPI | pytest-xdist | — | indirekt |
| PyPI | pywin32 | — | indirekt |
| PyPI | pyyaml | — | indirekt |
| PyPI | pyyaml | 6.0.3 | indirekt |
| PyPI | requests | 2.25.1 | indirekt |
| PyPI | requests | 2.32.4 | indirekt |
| PyPI | requests | 2.33.0 | indirekt |
| PyPI | scipy | — | indirekt |
| PyPI | sentencepiece | — | indirekt |
| PyPI | sentencepiece | 0.1.95 | indirekt |
| PyPI | sentencepiece | 0.1.97 | indirekt |
| PyPI | setuptools | — | indirekt |
| PyPI | sphinx | 7.1.2 | indirekt |
| PyPI | sphinx-glpi-theme | — | indirekt |
| PyPI | sympy | 1.9 | indirekt |
| PyPI | tabulate | — | indirekt |
| PyPI | tensorflow | — | indirekt |
| PyPI | tensorflow-gpu | 2.8.0 | indirekt |
| PyPI | tensorrt | — | indirekt |
| PyPI | tf2onnx | — | indirekt |
| PyPI | tf2onnx | 1.10.1 | indirekt |
| PyPI | toml | — | indirekt |
| PyPI | tomli | 2.0.0 | indirekt |
| PyPI | torch | — | indirekt |
| PyPI | torch | 1.10 | indirekt |
| PyPI | torch | 1.10.2 | indirekt |
| PyPI | torch | 1.10.2+cu113 | indirekt |
| PyPI | torch | 1.11.0 | indirekt |
| PyPI | torch | 1.11.0+cu113 | indirekt |
| PyPI | torch | 1.13.1 | indirekt |
| PyPI | torch | 2.8.0 | indirekt |
| PyPI | torch | 2.9.1 | indirekt |
| PyPI | torchvision | — | indirekt |
| PyPI | torchvision | 0.11.3 | indirekt |
| PyPI | torchvision | 0.12.0 | indirekt |
| PyPI | tqdm | 4.66.4 | indirekt |
| PyPI | transformers | 4.18.0 | indirekt |
| PyPI | transformers | 4.20.0 | indirekt |
| PyPI | transformers | 4.52.4 | indirekt |
| PyPI | triton | — | indirekt |
| PyPI | triton | 3.2.0 | indirekt |
| PyPI | triton | 3.5.0 | indirekt |
| PyPI | virtualenv | — | indirekt |
| PyPI | wget | — | indirekt |
| PyPI | wget | 3.2 | indirekt |
| PyPI | wheel | — | indirekt |
| PyPI | wheel | 0.45.1 | indirekt |
Abhängigkeits-Advisories 29
Dieses Repository veröffentlicht kein vom Index auflösbares Paket, daher wurde sein eigener Abhängigkeitsgraph bewertet – 75 Pakete, darunter auch Entwicklungs- und Test-Pins, die nie ausgeliefert werden: 29 tragen bekannte Advisories, davon 0 direkte. 50 konnten nicht bewertet werden – keine aufgelöste Version, ein nicht unterstütztes Ökosystem, oder außerhalb der ausgewiesenen Paketliste.
| Paket | Version | Beziehung | Schweregrad | Advisories | Behoben in |
|---|---|---|---|---|---|
| nltk | 3.9.1 | indirekt | kritisch | 18 | 3.10.0 |
| onnx | 1.13.1 | indirekt | kritisch | 21 | 1.22.0 |
| onnx | 1.14.0 | indirekt | kritisch | 21 | 1.22.0 |
| onnx | 1.17.0 | indirekt | kritisch | 14 | 1.22.0 |
| onnx | 1.18.0 | indirekt | kritisch | 13 | 1.22.0 |
| onnx | 1.20.0 | indirekt | kritisch | 13 | 1.22.0 |
| onnx | 1.9.0 | indirekt | kritisch | 23 | 1.22.0 |
| pillow | 11.3.0 | indirekt | kritisch | 31 | 12.3.0 |
| diffusers | 0.35.2 | indirekt | hoch | 5 | 0.38.0 |
| opencv-python-headless | 4.8.0.74 | indirekt | hoch | 2 | 4.8.1.78 |
| protobuf | 3.20.2 | indirekt | hoch | 4 | 6.33.5 |
| protobuf | 3.20.3 | indirekt | hoch | 4 | 6.33.5 |
| sentencepiece | 0.1.95 | indirekt | hoch | 2 | 0.2.1 |
| sentencepiece | 0.1.97 | indirekt | hoch | 2 | 0.2.1 |
| tensorflow-gpu | 2.8.0 | indirekt | hoch | 247 | 2.11.1 |
| requests | 2.25.1 | indirekt | mittel | 8 | 2.33.0 |
| requests | 2.32.4 | indirekt | mittel | 2 | 2.33.0 |
| torch | 1.10 | indirekt | unbekannt | 30 | — |
| torch | 1.10.2 | indirekt | unbekannt | 30 | — |
| torch | 1.10.2+cu113 | indirekt | unbekannt | 30 | — |
| torch | 1.11.0 | indirekt | unbekannt | 30 | — |
| torch | 1.11.0+cu113 | indirekt | unbekannt | 30 | — |
| torch | 1.13.1 | indirekt | unbekannt | 28 | — |
| torch | 2.8.0 | indirekt | unbekannt | 8 | — |
| torch | 2.9.1 | indirekt | unbekannt | 4 | — |
| transformers | 4.18.0 | indirekt | unbekannt | 50 | — |
| transformers | 4.20.0 | indirekt | unbekannt | 50 | — |
| transformers | 4.52.4 | indirekt | unbekannt | 22 | — |
| wheel | 0.45.1 | indirekt | unbekannt | 2 | — |
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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"name": "Commit volume",
"detail": "25 commits in the last year",
"points": 12.7,
"status": "partial",
"details": [
{
"code": "commits_last_year",
"params": {
"count": 25
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}
],
"max_points": 18
},
{
"key": "openssf_scorecard_maintained",
"name": "OpenSSF Scorecard: Maintained",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
}
]
},
{
"key": "release_discipline",
"band": "excellent",
"name": "Release discipline",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"releases_count": 70,
"latest_release_tag": "v11.1",
"releases_from_tags": false,
"days_since_latest_release": 26,
"mean_days_between_releases": 44.3
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"components": [
{
"key": "ships_releases",
"name": "Ships releases",
"detail": "70 releases published",
"points": 27,
"status": "met",
"details": [
{
"code": "releases_published",
"params": {
"count": 70
}
}
],
"max_points": 27
},
{
"key": "release_recency",
"name": "Release recency",
"detail": "latest release 26 days ago",
"points": 36,
"status": "met",
"details": [
{
"code": "release_recency",
"params": {
"days": 26
}
}
],
"max_points": 36
},
{
"key": "release_cadence",
"name": "Release cadence",
"detail": "a release every ~44.3 days",
"points": 27,
"status": "met",
"details": [
{
"code": "release_cadence",
"params": {
"gap": 44.3
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}
],
"max_points": 27
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{
"key": "openssf_scorecard_signed_releases",
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"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
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"code": "no_data",
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}
],
"max_points": 10
}
]
},
{
"key": "abandonment",
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"name": "Abandonment",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"cap": null,
"state": "unverified",
"guards": [],
"signals": [],
"red_flag": false,
"multiplier_pct": 100,
"declared_reason": null,
"unverified_reason": "no_commit_sample",
"unanswered_open_prs": null,
"unanswered_open_issues": null,
"days_since_last_merged_pr": null,
"days_since_last_human_commit": null,
"days_since_last_human_commit_is_floor": false
},
"components": [
{
"key": "project_is_still_maintained",
"name": "Project is still maintained",
"detail": "maintenance record not established from the collected data",
"points": 100,
"status": "met",
"details": [
{
"code": "abandonment_unverified",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Is the project alive — is code being written and are releases shipping?"
},
{
"key": "community",
"band": "excellent",
"name": "Community & Adoption",
"value": 88,
"weight": 0.18,
"metrics": [
{
"key": "popularity",
"band": "excellent",
"name": "Popularity & adoption",
"note": null,
"notes": [],
"value": 97,
"inputs": {
"forks": 2389,
"stars": 13169,
"watchers": 157,
"growth_state": "organic",
"growth_factor_pct": 100
},
"components": [
{
"key": "stars",
"name": "Stars",
"detail": "13,169 stars",
"points": 60,
"status": "met",
"details": [
{
"code": "stars",
"params": {
"count": 13169
}
}
],
"max_points": 60
},
{
"key": "forks",
"name": "Forks",
"detail": "2,389 forks",
"points": 25,
"status": "met",
"details": [
{
"code": "forks",
"params": {
"count": 2389
}
}
],
"max_points": 25
},
{
"key": "watchers",
"name": "Watchers",
"detail": "157 watchers",
"points": 12.2,
"status": "partial",
"details": [
{
"code": "watchers",
"params": {
"count": 157
}
}
],
"max_points": 15
}
]
},
{
"key": "community_health",
"band": "good",
"name": "Community health",
"note": null,
"notes": [],
"value": 70,
"inputs": {
"has_readme": true,
"has_license": true,
"has_contributing": true,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
"status": "met",
"details": [],
"max_points": 22.5
},
{
"key": "license",
"name": "License",
"detail": "recognized license (Apache-2.0)",
"points": 22.5,
"status": "met",
"details": [
{
"code": "license_standard",
"params": {}
},
{
"code": "license_spdx",
"params": {
"spdx": "Apache-2.0"
}
}
],
"max_points": 22.5
},
{
"key": "contributing_guide",
"name": "CONTRIBUTING guide",
"detail": null,
"points": 18,
"status": "met",
"details": [],
"max_points": 18
},
{
"key": "code_of_conduct",
"name": "Code of conduct",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 13.5
},
{
"key": "issue_template",
"name": "Issue template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.2
},
{
"key": "pr_template",
"name": "PR template",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.3
}
]
},
{
"key": "ecosystem_adoption",
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"name": "Ecosystem adoption (downloads)",
"note": "Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"registry_dependents"
]
}
},
{
"code": "weights_renormalized",
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}
],
"value": 99,
"inputs": {
"packages": [
"polygraphy",
"onnx_graphsurgeon",
"polygraphy_trtexec"
],
"dependents": null,
"ecosystems": "pypi",
"total_downloads": null,
"monthly_downloads": 930723
},
"components": [
{
"key": "monthly_downloads",
"name": "Monthly downloads",
"detail": "930,723 downloads/month across pypi",
"points": 79.6,
"status": "partial",
"details": [
{
"code": "downloads_monthly",
"params": {
"count": 930723,
"ecosystems": "pypi"
}
}
],
"max_points": 80
},
{
"key": "registry_dependents",
"name": "Registry dependents",
"detail": "not reported by this ecosystem",
"points": 0,
"status": "excluded",
"details": [
{
"code": "not_reported_by_this_ecosystem",
"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
},
{
"key": "governance",
"band": "good",
"name": "Sustainability & Governance",
"value": 81,
"weight": 0.24,
"metrics": [
{
"key": "maintainer_resilience",
"band": "good",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
"value": 72,
"inputs": {
"bus_factor": 3,
"contributors_sampled": 83,
"top_contributor_share": 0.334
},
"components": [
{
"key": "bus_factor",
"name": "Bus factor",
"detail": "3 contributor(s) cover half of all commits",
"points": 36,
"status": "partial",
"details": [
{
"code": "bus_factor",
"params": {
"count": 3
}
}
],
"max_points": 54
},
{
"key": "commit_distribution",
"name": "Commit distribution",
"detail": "top contributor authored 33% of commits",
"points": 15,
"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 33
}
}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "83 contributors",
"points": 13.5,
"status": "met",
"details": [
{
"code": "contributors_sampled",
"params": {
"count": 83
}
}
],
"max_points": 13.5
},
{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "good",
"name": "Issue & PR responsiveness",
"note": null,
"notes": [],
"value": 77,
"inputs": {
"merged_prs": 323,
"open_issues": 560,
"closed_issues": 3657,
"issue_closed_ratio": 0.867,
"closed_unmerged_prs": 169
},
"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "87% of issues closed",
"points": 40.5,
"status": "partial",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 87
}
}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "323/492 decided PRs merged",
"points": 25.1,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
"params": {
"merged": 323,
"decided": 492
}
}
],
"max_points": 38.25
},
{
"key": "openssf_scorecard_code_review",
"name": "OpenSSF Scorecard: Code-Review",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 15
}
]
},
{
"key": "stewardship",
"band": "good",
"name": "Ownership & stewardship",
"note": null,
"notes": [],
"value": 80,
"inputs": {
"followers": 28173,
"owner_type": "Organization",
"is_verified": null,
"owner_login": "NVIDIA",
"public_repos": 769,
"account_age_days": 5184
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"components": [
{
"key": "ownership_backing",
"name": "Ownership backing",
"detail": "organization-owned",
"points": 30,
"status": "met",
"details": [
{
"code": "owner_organization",
"params": {}
}
],
"max_points": 30
},
{
"key": "verified_domain",
"name": "Verified domain",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "owner_reach",
"name": "Owner reach",
"detail": "28,173 followers of NVIDIA",
"points": 25,
"status": "met",
"details": [
{
"code": "owner_followers",
"params": {
"count": 28173,
"login": "NVIDIA"
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}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "769 public repos, account ~14 yr old",
"points": 25,
"status": "met",
"details": [
{
"code": "public_repos",
"params": {
"count": 769
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},
{
"code": "account_age_years",
"params": {
"years": 14
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}
],
"max_points": 25
}
]
},
{
"key": "package_maintenance",
"band": "excellent",
"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
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"onnx_graphsurgeon",
"polygraphy_trtexec"
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"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 54
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"components": [
{
"key": "published_resolvable",
"name": "Published & resolvable",
"detail": "3 package(s) on pypi",
"points": 25,
"status": "met",
"details": [
{
"code": "packages_published",
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"count": 3,
"ecosystems": "pypi"
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}
],
"max_points": 25
},
{
"key": "publish_recency",
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"detail": "latest publish 54 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
"params": {
"days": 54
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}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "12 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 12
}
}
],
"max_points": 20
},
{
"key": "not_deprecated",
"name": "Not deprecated",
"detail": "active, not deprecated or yanked",
"points": 20,
"status": "met",
"details": [
{
"code": "package_not_deprecated",
"params": {}
}
],
"max_points": 20
}
]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "good",
"name": "Engineering Quality",
"value": 74,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "good",
"name": "Engineering practices",
"note": null,
"notes": [],
"value": 80,
"inputs": {
"has_ci": true,
"has_tests": true,
"has_editorconfig": false,
"has_linter_config": true,
"has_precommit_config": false
},
"components": [
{
"key": "ci_workflows",
"name": "CI workflows",
"detail": "5 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
"params": {
"count": 5
}
}
],
"max_points": 24
},
{
"key": "tests_present",
"name": "Tests present",
"detail": null,
"points": 24,
"status": "met",
"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
"detail": ".pylintrc",
"points": 16,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": ".pylintrc"
}
}
],
"max_points": 16
},
{
"key": "pre_commit_hooks",
"name": "Pre-commit hooks",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 9.6
},
{
"key": "editorconfig",
"name": ".editorconfig",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.4
},
{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
"detail": "OpenSSF Scorecard unavailable",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 20
}
]
},
{
"key": "documentation",
"band": "moderate",
"name": "Documentation",
"note": null,
"notes": [],
"value": 65,
"inputs": {
"topics": [
"tensorrt",
"nvidia",
"deep-learning",
"inference",
"gpu-acceleration"
],
"has_wiki": false,
"homepage": "https://developer.nvidia.com/tensorrt",
"has_readme": true,
"has_docs_dir": false,
"has_description": true
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 30,
"status": "met",
"details": [],
"max_points": 30
},
{
"key": "documentation_directory",
"name": "Documentation directory",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 25
},
{
"key": "documentation_homepage_site",
"name": "Documentation / homepage site",
"detail": "https://developer.nvidia.com/tensorrt",
"points": 15,
"status": "met",
"details": [],
"max_points": 15
},
{
"key": "repository_description",
"name": "Repository description",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "topics",
"name": "Topics",
"detail": "5 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
"params": {
"count": 5
}
}
],
"max_points": 10
},
{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "critical",
"name": "Security",
"value": 21,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "critical",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Dependency lockfiles. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"dependency_lockfiles"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 1,
"inputs": {
"source": "file_signals",
"lockfiles": [],
"manifests": [
"python/requirements.txt"
],
"has_codeql_workflow": false,
"has_security_policy": false,
"has_dependabot_config": false
},
"components": [
{
"key": "security_policy_security_md",
"name": "Security policy (SECURITY.md)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 30
},
{
"key": "dependabot_config",
"name": "Dependabot config",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 25
},
{
"key": "dependency_lockfiles",
"name": "Dependency lockfiles",
"detail": "published library — lockfiles are an application concern, not expected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "lockfiles_not_expected",
"params": {}
}
],
"max_points": 25
},
{
"key": "codeql_workflow",
"name": "CodeQL workflow",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 75 resolved dependencies against OSV; 50 could not be assessed (no resolved version, an unsupported ecosystem, or beyond the reported package list). This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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"no_advisories_left_outstanding"
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}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_repository",
"params": {
"assessed": 75
}
},
{
"code": "advisories_unassessed",
"params": {
"count": 50
}
},
{
"code": "advisories_repo_graph_caveat",
"params": {}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 744,
"affected_packages": 29,
"assessed_packages": 75,
"unassessed_packages": 50,
"affected_by_severity": "critical 8, high 7, moderate 2, unknown 12",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "transitive set not separable from development and test dependencies in this scope",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_scope_not_separable",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_no_publication_date",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
"red_flag": false,
"assessed_packages": 75,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 6
},
"components": [
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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 v0.17.0 — vollständige Methodik · Metriken-Wiki.
Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken — PyPI.