Öffentliches Register
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-26 18:33 UTC

nvpro-samples / vk_gltf_renderer

Vulkan ray tracing glTF 2.0 renderer — RTX path tracer with PBR materials, AI denoising (DLSS, OptiX), and scene editing. NVIDIA open-source sample.

C++Apache-2.0★ 390 Sterne⑂ 32 Forksseit Dez. 2019Auf GitHub ansehen ↗

nvpro-samples/vk_gltf_renderer erreicht einen Gesundheitsindex von 62 von 100 und liegt damit im Bereich Mittel. Am stärksten schneidet es bei Vitality (88/100) ab, am schwächsten bei Security (37/100). Zuletzt vor 5 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.

62
gesamt / 100
Mittel

Software-Gesundheitsindex

Metriken werden auf einer Skala von 1–100 in gewichtete Kategorien gruppiert. Der Gesamtwert beginnt als ihr Mittel; sobald öffentliche Evidenz die Richtlinie für Hochrisikojurisdiktionen auslöst, wird die Bewertung angepasst und erhält die Obergrenze 49 (Gefährdet). AI Readiness liegt außerhalb.

62
Exzellent85-100Vorbildlich; erfüllt im Wesentlichen alle geprüften Kriterien
Gut70-84Gesund; geringfügige Lücken
Mittel50-69Akzeptabel mit deutlichen Lücken; Überprüfung empfohlen
Gefährdet30-49Erhebliche Schwächen; eine Übernahme erfordert Vorsicht
Kritisch1-29Schwerwiegende Probleme (aufgegeben, nur ein Maintainer, keine Hygiene)
VitalitätCommunity &VerbreitungNachhaltigkeit &GovernanceEngineering-QualitätSicherheitAI Readiness

Bewertungsprofil

Jede Achse ist eine Kategorie. Die Form zählt mehr als der Durchschnitt — ein gesundes Projekt füllt die gesamte Fläche, während ein Profil aus Spitzen und Kratern bedeutet, dass Stärke in einer Dimension Risiken in einer anderen verdeckt.

Eigentümerschaft

1.736 Follower68 öffentliche Reposseit Apr. 2014

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

Metriken nach Kategorie

Vitalität

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

88Exzellent · 22 % des Gesamtindex
Wie die Bewertung erfolgt
36/36Push-Aktualität — letzter Push vor 5 Tagen
24.2/36Commit-Rhythmus — 35/52 Wochen mit Commits
17.1/18Commit-Volumen — 80 Commits im letzten Jahr
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Verwendete Eingangsdaten
commits_last_year80
human_commit_share1
days_since_last_push5
active_weeks_last_year35
Wie die Bewertung erfolgt
27/27Liefert Releases aus — 7 Releases veröffentlicht
36/36Release-Aktualität — letztes Release vor 5 Tagen
27/27Release-Rhythmus — ein Release etwa alle 12,5 Tage
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Verwendete Eingangsdaten
releases_count7
latest_release_tagv2026.8
releases_from_tagsnein
days_since_latest_release5
mean_days_between_releases12,5

Community & Verbreitung

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

65Mittel · 18 % des Gesamtindex
Wie die Bewertung erfolgt
42/60Stars — 390 Stars
12.4/25Forks — 32 Forks
6.5/15Watcher — 16 Watcher
Verwendete Eingangsdaten
forks32
stars390
watchers16
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Wie die Bewertung erfolgt
22.5/22.5README
22.5/22.5Lizenz — anerkannte Lizenz (Apache-2.0)
18/18CONTRIBUTING-Leitfaden
0/13.5Verhaltenskodex
0/7.2Issue-Vorlage
0/6.3PR-Vorlage
Verwendete Eingangsdaten
has_readmeja
has_licenseja
has_contributingja
has_issue_templatenein
has_code_of_conductnein
has_pull_request_templatenein

Nachhaltigkeit & Governance

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

47Gefährdet · 24 % des Gesamtindex
Wie die Bewertung erfolgt
9/54Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab
3.3/22.5Commit-Verteilung — wichtigste beitragende Person verfasste 85 % der Commits
5.4/13.5Breite der Beitragenden — 4 Beitragende
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Verwendete Eingangsdaten
bus_factor1
contributors_sampled4
top_contributor_share0,854
Wie die Bewertung erfolgt
44.5/46.8Issue-Lösungsquote — 95 % der Issues geschlossen
0/38.3PR-Annahme — 0/2 entschiedene PRs gemergt
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Verwendete Eingangsdaten
merged_prs0
open_issues2
closed_issues39
issue_closed_ratio0,951
closed_unmerged_prs2
Wie die Bewertung erfolgt
30/30Organisatorische Trägerschaft — im Besitz einer Organisation
0/20Verifizierte Domain
23.3/25Reichweite des Inhabers — 1.736 Follower von nvpro-samples
25/25Kontohistorie — 68 öffentliche Repos, Kontoalter ca. 12 Jahre
Verwendete Eingangsdaten
followers1.736
owner_typeOrganization
is_verified
owner_loginnvpro-samples
public_repos68
account_age_days4.491

Engineering-Qualität

Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?

70Gut · 20 % des Gesamtindex
Wie die Bewertung erfolgt
24/24CI-Workflows — 1 Workflow(s)
24/24Tests vorhanden
0/16Linter-Konfiguration
0/9.6Pre-Commit-Hooks
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — keine Daten
Verwendete Eingangsdaten
has_cija
has_testsja
has_editorconfignein
has_linter_confignein
has_precommit_confignein
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: CI-Tests. Die verbleibenden Gewichte wurden renormalisiert.

Dokumentation

85Exzellent
Wie die Bewertung erfolgt
30/30README
25/25Dokumentationsverzeichnis
0/15Dokumentations-/Homepage-Site
10/10Repository-Beschreibung
10/10Topics — 19 Topics
10/10Wiki
Verwendete Eingangsdaten
topicsvulkan, gltf, gltf2, pbr, path-tracing, ray-tracing, dlss, cpp, denoising, gltf-viewer, nvidia, physically-based-rendering, rtx, slang, vulkan-renderer, computer-graphics, raytracing, real-time-rendering, renderer
has_wikija
homepage
has_readmeja
has_docs_dirja
has_descriptionja

Sicherheit

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

37Gefährdet · 16 % des Gesamtindex

Sicherheitslage

37Gefährdet
Wie die Bewertung erfolgt
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — keine Daten
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 approved changesets -- score normalized to 0
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Lizenz — license file detected
7.5/7.5Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — keine Daten
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — no SAST tool detected
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Verwendete Eingangsdaten
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate3,7
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): ci_tests, packaging. Die verbleibenden Gewichte wurden renormalisiert.

AI Readiness

Wie gut ist das Repository dafür ausgestattet, mit KI-Coding-Agenten entwickelt und gepflegt zu werden? Ein unabhängiges, experimentelles Badge — Gewicht 0,0, es wird eigenständig ausgewiesen und verändert den Gesamt-Gesundheitswert nicht.

53Mittel · 0 % des Gesamtindex
Wie die Bewertung erfolgt
45/45Agentenanweisungen — AGENTS.md, CLAUDE.md
0/15Maschinenlesbare Doku (llms.txt)
11.7/40Lesbare Commit-Historie — 22 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text)
Verwendete Eingangsdaten
has_llms_txtnein
legible_history_share0,22
agent_instruction_filesAGENTS.md, CLAUDE.md
agent_instruction_max_bytes10.717
Wie die Bewertung erfolgt
0/18Bootstrap mit einem Befehl
22/22Automatisierte Tests
0/11Lint-/Format-Konfiguration
11/11Statische Typprüfung — C++ (statisch typisiert)
0/10Reproduzierbare Umgebung
0/10Belegte Agentenpraxis — keine von Agenten verfassten Commits unter den letzten 100
0/8Automatisierte Wartung — keine automatisierten Abhängigkeits-Updates beobachtet
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Verwendete Eingangsdaten
has_nixnein
has_testsja
lockfiles
has_dockerfilenein
typed_languageja
bootstrap_files
has_devcontainernein
has_linter_confignein
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Wie die Bewertung erfolgt
45/45Typprüfbarer Code — C++ (statisch typisiert)
52.1/55Handhabbare Dateigrößen — 7/133 Quelldateien über 60 KB
Verwendete Eingangsdaten
primary_languageC++
largest_source_bytes116.528
source_files_sampled133
oversized_source_files7

Eckdaten

390GitHub-Sterne
4Mitwirkende
80Commits, letzte 12 Monate
5Tage seit letztem Push
7Releases
1Bus-Faktor
2offene Issues
Paket-Ökosysteme

Warnungen zur Datenerhebung

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Weitere Details

Stern- und Fork-Verlauf 0 ★ / 32 ⇿
0Sterne
32Forks
4Releases

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.

01325383222022-122024-092026-07
Major 0Minor 0Patch 3

Jeder Punkt umfasst 4 Tage.

OpenSSF Scorecard 3.7 / 10
3.7Gesamtwert

Unabhängige, werkzeugneutrale Sicherheitsbewertung durch das quelloffene OpenSSF Scorecard. Jede Prüfung honoriert eine Sicherheits-Praxis, nicht das Werkzeug eines bestimmten Anbieters. Prüfungen, die Scorecard nicht ermitteln konnte, sind mit k. A. markiert und vom Sicherheitswert ausgeschlossen (nie als null gezählt).Scorecard v5.5.0 · 2026-07-26 18:33 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
k. A.CI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 approved changesets -- score normalized to 0
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
k. A.Packagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Alle Abhängigkeiten nicht erhoben

Der aufgelöste Abhängigkeitssatz konnte für diesen Bericht nicht erhoben werden: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

JSON-Rohbericht maschinenlesbar
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                "key": "issue_template",
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                "key": "pr_template",
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        ],
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      {
        "key": "governance",
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        "name": "Sustainability & Governance",
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          {
            "key": "maintainer_resilience",
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            "notes": [],
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                "key": "bus_factor",
                "name": "Bus factor",
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                    "code": "bus_factor",
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                "key": "commit_distribution",
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                "detail": "top contributor authored 85% of commits",
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                "key": "openssf_scorecard_contributors",
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            "key": "responsiveness",
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            "notes": [],
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              "closed_issues": 39,
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              "closed_unmerged_prs": 2
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                "key": "issue_resolution",
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                "points": 44.5,
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                "max_points": 46.75
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              {
                "key": "pr_acceptance",
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              {
                "key": "openssf_scorecard_code_review",
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          {
            "key": "stewardship",
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              "followers": 1736,
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              "is_verified": null,
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                "key": "ownership_backing",
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                "key": "verified_domain",
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                "max_points": 20
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              {
                "key": "owner_reach",
                "name": "Owner reach",
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                ],
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                "key": "track_record",
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                    "code": "public_repos",
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        "key": "engineering",
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        "weight": 0.2,
        "metrics": [
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            "key": "engineering_practices",
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            "notes": [
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                "key": "pre_commit_hooks",
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                "key": "editorconfig",
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              },
              {
                "key": "openssf_scorecard_ci_tests",
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                ],
                "max_points": 20
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            "notes": [],
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            "inputs": {
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        ],
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                "key": "code_review",
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                "key": "contributors",
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                "key": "dangerous_workflow",
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                "key": "dependency_update_tool",
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                "key": "fuzzing",
                "name": "Fuzzing",
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                "key": "sast",
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                "key": "security_policy",
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                "points": 0,
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              {
                "key": "signed_releases",
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                "status": "missed",
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                "key": "vulnerabilities",
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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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        "metrics": [
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                    "code": "file_list",
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  "report_type": "repository",
  "generated_at": "2026-07-26T18:33:45.649531Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/n/nvpro-samples/vk_gltf_renderer.svg",
  "full_name": "nvpro-samples/vk_gltf_renderer",
  "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 v0.27.0 — vollständige Methodik · Metriken-Wiki.

Wie ein einzelnes Ergebnis im Gesamtregister steht: aggregierte Statistiken.