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Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-08-01 07:37 UTC
NVIDIA / ai-assisted-annotation-client
Client side integration example source code and libraries for AI-Assisted Annotation SDK
NVIDIA/ai-assisted-annotation-client erreicht einen Gesundheitsindex von 37 von 100 und liegt damit im Bereich Gefährdet. Am stärksten schneidet es bei Community & Adoption (63/100) ab, am schwächsten bei Vitality (17/100). Zuletzt vor 830 Tagen aktualisiert. Ein einzelner Mitwirkender trägt den Großteil der jüngsten Arbeit.
37
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.
37
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.
Abandonment Policy applies a 85% multiplier to weighted overall health.
Eigentümerschaft
NVIDIA CorporationOrganisation
28.513 Follower778 öffentliche Reposseit Mai 2012
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?
17
Entwicklungsaktivität
1Kritisch
Hinweis auf Verwaisung
Arbeit ist eingegangen, und niemand hat sich darum gekümmert
seit 830 Tagen kein menschlicher Commitautomatisierte Commits ausgenommenReleases stehen stillOpenSSF Scorecard meldet es als ungepflegt
Stille allein ist nie der Befund — eine kleine, fertige Bibliothek braucht womöglich jahrelang keinen Commit. Dieser Hinweis verlangt beides: lange keinen menschlichen Commit und Pflichten, denen das Projekt sichtbar nicht nachkommt. Automatisierte Commits gelten nicht als Pflege.
Wie Verwaisung bewertet wirdWie die Bewertung erfolgt
| 0/36 | Push-Aktualität — letzter Push vor 830 Tagen |
| 0/36 | Commit-Rhythmus — 0/52 Wochen mit Commits |
| 0/18 | Commit-Volumen — 0 Commits im letzten Jahr |
| 0/10 | OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
Verwendete Eingangsdaten
| commits_last_year | 0 |
| human_commit_share | 1 |
| days_since_last_push | 830 |
| active_weeks_last_year | 0 |
Release-Disziplin
40Gefährdet
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 3 Releases veröffentlicht |
| 0/36 | Release-Aktualität — letztes Release vor 2.328 Tagen |
| 12.6/27 | Release-Rhythmus — ein Release etwa alle 191,6 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
Verwendete Eingangsdaten
| releases_count | 3 |
| latest_release_tag | v1.0.2 |
| releases_from_tags | nein |
| days_since_latest_release | 2.328 |
| mean_days_between_releases | 191,6 |
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
63
Popularität & Verbreitung
63Mittel
Wie die Bewertung erfolgt
| 40.6/60 | Stars — 320 Stars |
| 15.2/25 | Forks — 67 Forks |
| 7.5/15 | Watcher — 23 Watcher |
Verwendete Eingangsdaten
| forks | 67 |
| stars | 320 |
| watchers | 23 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
64Mittel
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 16.9/22.5 | Lizenz — Lizenzdatei vorhanden, keine anerkannte Lizenz |
| 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?
63
Maintainer-Resilienz (Bus-Faktor)
24Kritisch
Wie die Bewertung erfolgt
| 9/54 | Bus-Faktor — 1 Beitragende decken die Hälfte aller Commits ab |
| 2.8/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 88 % der Commits |
| 9.5/13.5 | Breite der Beitragenden — 7 Beitragende |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Verwendete Eingangsdaten
| bus_factor | 1 |
| contributors_sampled | 7 |
| top_contributor_share | 0,876 |
Reaktionsfähigkeit bei Issues & PRs
94Exzellent
Wie die Bewertung erfolgt
| 42.1/46.8 | Issue-Lösungsquote — 90 % der Issues geschlossen |
| 36.4/38.3 | PR-Annahme — 58/61 entschiedene PRs gemergt |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Verwendete Eingangsdaten
| merged_prs | 58 |
| open_issues | 5 |
| closed_issues | 45 |
| issue_closed_ratio | 0,9 |
| closed_unmerged_prs | 3 |
Wie die Bewertung erfolgt
| 30/30 | Organisatorische Trägerschaft — im Besitz einer Organisation |
| 0/20 | Verifizierte Domain |
| 25/25 | Reichweite des Inhabers — 28.513 Follower von NVIDIA |
| 25/25 | Kontohistorie — 778 öffentliche Repos, Kontoalter ca. 14 Jahre |
Verwendete Eingangsdaten
| followers | 28.513 |
| owner_type | Organization |
| is_verified | — |
| owner_login | NVIDIA |
| public_repos | 778 |
| account_age_days | 5.195 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
40
Engineering-Praktiken
24Kritisch
Wie die Bewertung erfolgt
| 0/24 | CI-Workflows |
| 24/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — 0 out of 30 merged PRs checked by a CI test -- score normalized to 0 |
Verwendete Eingangsdaten
| has_ci | nein |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | nein |
| has_precommit_config | nein |
Dokumentation
65Mittel
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 0/15 | Dokumentations-/Homepage-Site |
| 10/10 | Repository-Beschreibung |
| 0/10 | Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | — |
| has_wiki | nein |
| homepage | — |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
34
Sicherheitslage
34Gefährdet
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — keine Daten |
| 0/2.5 | CI-Tests — 0 out of 30 merged PRs checked by a CI test -- score normalized to 0 |
| 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 |
| 0.8/2.5 | Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
| 0/10 | Dangerous-Workflow — keine Daten |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.2/2.5 | Lizenz — license file detected |
| 0/7.5 | Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 0/5 | Packaging — keine Daten |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 0/7.5 | Token-Permissions — keine Daten |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 14 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 4 |
| scorecard_aggregate | 3,4 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, dangerous_workflow, packaging, token_permissions. 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.
52
AI-Agentenkontext & Leitlinien
30Gefährdet
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 30.4/40 | Lesbare Commit-Historie — 57 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,57 |
| 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) |
| 0/10 | Reproduzierbare Umgebung |
| 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 | nein |
| typed_language | ja |
| bootstrap_files | docs/Makefile |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
AI-Code-Lesbarkeit für Modelle
100Exzellent
Wie die Bewertung erfolgt
| 45/45 | Typprüfbarer Code — C++ (statisch typisiert) |
| 55/55 | Handhabbare Dateigrößen — 0/59 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | C++ |
| largest_source_bytes | 50.274 |
| source_files_sampled | 59 |
| oversized_source_files | 0 |
Eckdaten
320GitHub-Sterne
7Mitwirkende
0Commits, letzte 12 Monate
830Tage seit letztem Push
3Releases
1Bus-Faktor
5offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- Could not fetch pypi package 'aiaa_client' from its registry
- No resolved dependencies carried a version and a supported ecosystem
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 67 ⇿
0Sterne
67Forks
2Releases
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.
Major 0Minor 0Patch 2
Jeder Punkt umfasst 7 Tage.
OpenSSF Scorecard 3.4 / 10
3.4Gesamtwert
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 |
| 0 | CI-Tests | 0 out of 30 merged PRs checked by a CI test -- score normalized to 0 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 10 | Code-Review | all changesets reviewed |
| 3 | Contributors | project has 1 contributing companies or organizations -- score normalized to 3 |
| k. A. | Dangerous-Workflow | no workflows found |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 9 | License | license file detected |
| 0 | Maintained | 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| k. A. | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| k. A. | Token-Permissions | No tokens found |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Alle Abhängigkeiten 2
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 0 direkte und 2 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | numpy | — | indirekt |
| PyPI | simpleitk | — | indirekt |
Abhängigkeits-Advisories nicht bewertet
Der Advisory-Abgleich konnte für diesen Bericht nicht ausgeführt werden: No resolved dependencies carried a version and a supported ecosystem
JSON-Rohbericht maschinenlesbar
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"headline": "Support Clara v3.0 Inference API for py/cpp client (#65)",
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"headline": "fix refresh icon for windows (#63)",
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"body": "* Fix AIAA docs and update version to 1.0.1\r\n* Encode space in URI param for label and model names",
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"headline": "Fix AIAA docs and update version to 1.0.1 (#16)",
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"body": "* Support NVIDIA Segmentation+Annotation in AIAA Client+MITK Workbench\r\n* Add and show extreme points into pointset interaction\r\n* Fix URL for /models\r\n* PY Client segmentation API + Test data\r\n* Add Segmentation API example into tools\r\n* Support label and type in ListModels tool\r\n* support model ty\n[…]\n) API\r\n* Fix UI refresh for MITK plugin\r\n* Support model name instead of labels (design review) + fix color map for multi-labeled masks\r\n* Support label based model filtering config + correct tooltips",
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"body": "GCC 7.3 has problems when linking against some loose dependencies\r\nand needs a little help to actually link. Otherwise this can lead\r\nto runtime errors because the loose dependency isn't found even\r\nthough it is present in the library search path.",
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"body": "http://nvbugs/2502038 SWIPAT: Request to release MITK (Qt based application) plugin for AI-Assisted Annotation SDK",
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"headline": "Merge pull request #4 from NVIDIA/r1.0",
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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.