WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
m-bain/whisperX erreicht einen Gesundheitsindex von 70 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (81/100) ab, am schwächsten bei AI Readiness (34/100). Zuletzt vor 7 Tagen aktualisiert. 2 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 gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht |
|---|---|---|---|---|---|
| PyPI | whisperx | 3.8.6 | - | 44 | vor 56 Tagen |
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
| 36/36 | Push-Aktualität — letzter Push vor 7 Tagen |
| 11.8/36 | Commit-Rhythmus — 17/52 Wochen mit Commits |
| 16.8/18 | Commit-Volumen — 74 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 13 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
| commits_last_year | 74 |
| human_commit_share | — |
| days_since_last_push | 7 |
| active_weeks_last_year | 17 |
| 27/27 | Liefert Releases aus — 44 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 24 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 12 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases. |
| releases_count | 44 |
| latest_release_tag | 3.8.7rc1 |
| releases_from_tags | nein |
| days_since_latest_release | 24 |
| mean_days_between_releases | 12 |
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
| 60/60 | Stars — 23.163 Stars |
| 25/25 | Forks — 2.347 Forks |
| 12.2/15 | Watcher — 160 Watcher |
| forks | 2.347 |
| stars | 23.163 |
| watchers | 160 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | window_too_short |
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (BSD-2-Clause) |
| 0/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 0/6.3 | PR-Vorlage |
| has_readme | ja |
| has_license | ja |
| has_contributing | nein |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | nein |
Überdauert das Projekt die Menschen, die es tragen — Bus-Faktor, Reaktionsfähigkeit, Trägerschaft und Paketpflege?
| 25.2/54 | Bus-Faktor — 2 Beitragende decken die Hälfte aller Commits ab |
| 13/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 42 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 100 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations |
| bus_factor | 2 |
| contributors_sampled | 100 |
| top_contributor_share | 0,424 |
| 38.5/46.8 | Issue-Lösungsquote — 82 % der Issues geschlossen |
| 21.2/38.3 | PR-Annahme — 205/369 entschiedene PRs gemergt |
| 3/15 | OpenSSF Scorecard: Code-Review — Found 5/20 approved changesets -- score normalized to 2 |
| merged_prs | 205 |
| open_issues | 172 |
| closed_issues | 800 |
| issue_closed_ratio | 0,823 |
| closed_unmerged_prs | 164 |
| 10/30 | Organisatorische Trägerschaft — persönliches (Nutzer-)Konto |
| 0/20 | Verifizierte Domain — für Nutzerkonten nicht anwendbar |
| 20.8/25 | Reichweite des Inhabers — 776 Follower von m-bain |
| 23/25 | Kontohistorie — 31 öffentliche Repos, Kontoalter ca. 8 Jahre |
| followers | 776 |
| owner_type | User |
| is_verified | — |
| owner_login | m-bain |
| public_repos | 31 |
| account_age_days | 3.062 |
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 56 Tagen |
| 20/20 | Versionshistorie — 44 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
| packages | whisperx |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 56 |
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
| 24/24 | CI-Workflows — 4 Workflow(s) |
| 24/24 | Tests vorhanden |
| 0/16 | Linter-Konfiguration |
| 0/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 18/20 | OpenSSF Scorecard: CI-Tests — 14 out of 15 merged PRs checked by a CI test -- score normalized to 9 |
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | nein |
| has_precommit_config | nein |
| 30/30 | README |
| 0/25 | Dokumentationsverzeichnis |
| 0/15 | Dokumentations-/Homepage-Site |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 5 Topics |
| 0/10 | Wiki |
| topics | asr, speech, speech-recognition, speech-to-text, whisper |
| has_wiki | nein |
| homepage | — |
| has_readme | ja |
| has_docs_dir | nein |
| 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 |
| 0/7.5 | Branch-Protection — keine Daten |
| 2.2/2.5 | CI-Tests — 14 out of 15 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 |
| 1.5/7.5 | Code-Review — Found 5/20 approved changesets -- score normalized to 2 |
| 2.5/2.5 | Contributors — project has 6 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 — 13 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — keine Daten |
| 5/5 | Pinned-Dependencies — all dependencies are pinned |
| 1.5/5 | SAST — SAST tool is not run on all commits -- score normalized to 3 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — Project has not signed or included provenance with any releases. |
| 7.5/7.5 | Token-Permissions — GitHub workflow tokens follow principle of least privilege |
| 0/7.5 | Vulnerabilities — 78 existing vulnerabilities detected |
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 6 |
| 6.7/35 | Direkte Abhängigkeiten ohne bekannte Advisories — 2 betroffen: transformers 4.57.6 (critical 9.6), torch 2.8.0 (high 8.8) |
| 25/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory |
| 27.4/40 | Keine offenen Advisories — 2 Paket(e) mit Advisory seit über 90 Tagen unbehandelt; ältestes vor 476 Tagen veröffentlicht |
| source | osv |
| advisories | 15 |
| affected_packages | 2 |
| assessed_packages | 106 |
| unassessed_packages | 0 |
| affected_by_severity | critical 1, high 1 |
| direct_affected_packages | 2 |
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.
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 0/40 | Lesbare Commit-Historie — keine Daten |
| has_llms_txt | nein |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 0/11 | Lint-/Format-Konfiguration |
| 0/11 | Statische Typprüfung |
| 10/10 | Reproduzierbare Umgebung — lockfile |
| 0/10 | Belegte Agentenpraxis — keine Daten |
| 0/8 | Automatisierte Wartung — keine Daten |
| 10/10 | OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned |
| has_nix | nein |
| has_tests | ja |
| lockfiles | uv.lock |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | — |
| has_devcontainer | nein |
| has_linter_config | nein |
| typecheck_configs | — |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
| 0/45 | Typprüfbarer Code — Python ohne Typprüfungs-Konfiguration |
| 55/55 | Handhabbare Dateigrößen — 0/17 Quelldateien über 60 KB |
| primary_language | Python |
| largest_source_bytes | 22.033 |
| source_files_sampled | 17 |
| oversized_source_files | 0 |
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.
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 |
| 9 | CI-Tests | 14 out of 15 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 |
| 2 | Code-Review | Found 5/20 approved changesets -- score normalized to 2 |
| 10 | Contributors | project has 6 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 | 13 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
| k. A. | Packaging | packaging workflow not detected |
| 10 | Pinned-Dependencies | all dependencies are pinned |
| 3 | SAST | SAST tool is not run on all commits -- score normalized to 3 |
| 0 | Security-Policy | security policy file not detected |
| 0 | Signed-Releases | Project has not signed or included provenance with any releases. |
| 10 | Token-Permissions | GitHub workflow tokens follow principle of least privilege |
| 0 | Vulnerabilities | 78 existing vulnerabilities detected |
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | ctranslate2 | >=4.5.0 | pyproject.toml |
| PyPI | faster-whisper | >=1.2.0 | pyproject.toml |
| PyPI | nltk | >=3.9.1 | pyproject.toml |
| PyPI | numpy | >=2.1.0 | pyproject.toml |
| PyPI | omegaconf | >=2.3.0 | pyproject.toml |
| PyPI | pandas | >=2.2.3 | pyproject.toml |
| PyPI | pyannote-audio | >=4.0.0 | pyproject.toml |
| PyPI | huggingface-hub | >=0.28.1 | pyproject.toml |
| PyPI | torch | ~=2.8.0 | pyproject.toml |
| PyPI | torchaudio | ~=2.8.0 | pyproject.toml |
| PyPI | torchvision | ~=0.23.0 | pyproject.toml |
| PyPI | torchcodec | >=0.6.0,<0.8.0 | pyproject.toml |
| PyPI | transformers | >=4.48.0 | pyproject.toml |
| PyPI | triton | >=3.3.0 | pyproject.toml |
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 18 direkte und 117 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | ctranslate2 | 4.6.0 | direkt |
| PyPI | faster-whisper | 1.2.0 | direkt |
| PyPI | huggingface-hub | 0.35.3 | direkt |
| PyPI | nltk | 3.9.4 | direkt |
| PyPI | numpy | 2.2.6 | direkt |
| PyPI | omegaconf | 2.3.0 | direkt |
| PyPI | pandas | 2.2.3 | direkt |
| PyPI | pyannote-audio | 4.0.4 | direkt |
| PyPI | torch | 2.8.0 | direkt |
| PyPI | torch | 2.8.0+cpu | direkt |
| PyPI | torch | 2.8.0+cu128 | direkt |
| PyPI | torchaudio | 2.8.0 | direkt |
| PyPI | torchaudio | 2.8.0+cpu | direkt |
| PyPI | torchaudio | 2.8.0+cu128 | direkt |
| PyPI | torchcodec | 0.7.0 | direkt |
| PyPI | torchvision | 0.23.0 | direkt |
| PyPI | transformers | 4.57.6 | direkt |
| PyPI | triton | 3.4.0 | direkt |
| PyPI | aiohappyeyeballs | 2.6.1 | indirekt |
| PyPI | aiohttp | 3.12.15 | indirekt |
| PyPI | aiosignal | 1.4.0 | indirekt |
| PyPI | alembic | 1.16.5 | indirekt |
| PyPI | antlr4-python3-runtime | 4.9.3 | indirekt |
| PyPI | asteroid-filterbanks | 0.4.0 | indirekt |
| PyPI | async-timeout | 5.0.1 | indirekt |
| PyPI | attrs | 25.3.0 | indirekt |
| PyPI | av | 15.1.0 | indirekt |
| PyPI | certifi | 2025.10.5 | indirekt |
| PyPI | charset-normalizer | 3.4.3 | indirekt |
| PyPI | click | 8.3.0 | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | coloredlogs | 15.0.1 | indirekt |
| PyPI | colorlog | 6.9.0 | indirekt |
| PyPI | contourpy | 1.3.2 | indirekt |
| PyPI | contourpy | 1.3.3 | indirekt |
| PyPI | cycler | 0.12.1 | indirekt |
| PyPI | einops | 0.8.1 | indirekt |
| PyPI | exceptiongroup | 1.3.1 | indirekt |
| PyPI | filelock | 3.19.1 | indirekt |
| PyPI | flatbuffers | 25.9.23 | indirekt |
| PyPI | fonttools | 4.60.1 | indirekt |
| PyPI | frozenlist | 1.7.0 | indirekt |
| PyPI | fsspec | 2025.9.0 | indirekt |
| PyPI | googleapis-common-protos | 1.72.0 | indirekt |
| PyPI | greenlet | 3.2.4 | indirekt |
| PyPI | grpcio | 1.78.0 | indirekt |
| PyPI | hf-xet | 1.1.10 | indirekt |
| PyPI | humanfriendly | 10.0 | indirekt |
| PyPI | idna | 3.10 | indirekt |
| PyPI | importlib-metadata | 8.7.1 | indirekt |
| PyPI | iniconfig | 2.3.0 | indirekt |
| PyPI | jinja2 | 3.1.6 | indirekt |
| PyPI | joblib | 1.5.2 | indirekt |
| PyPI | julius | 0.2.7 | indirekt |
| PyPI | kiwisolver | 1.4.9 | indirekt |
| PyPI | lightning | 2.5.5 | indirekt |
| PyPI | lightning-utilities | 0.15.2 | indirekt |
| PyPI | mako | 1.3.10 | indirekt |
| PyPI | markdown-it-py | 4.0.0 | indirekt |
| PyPI | markupsafe | 3.0.3 | indirekt |
| PyPI | matplotlib | 3.10.6 | indirekt |
| PyPI | mdurl | 0.1.2 | indirekt |
| PyPI | mpmath | 1.3.0 | indirekt |
| PyPI | multidict | 6.6.4 | indirekt |
| PyPI | networkx | 3.4.2 | indirekt |
| PyPI | networkx | 3.5 | indirekt |
| PyPI | nvidia-cublas-cu12 | 12.8.4.1 | indirekt |
| PyPI | nvidia-cuda-cupti-cu12 | 12.8.90 | indirekt |
| PyPI | nvidia-cuda-nvrtc-cu12 | 12.8.93 | indirekt |
| PyPI | nvidia-cuda-runtime-cu12 | 12.8.90 | indirekt |
| PyPI | nvidia-cudnn-cu12 | 9.10.2.21 | indirekt |
| PyPI | nvidia-cufft-cu12 | 11.3.3.83 | indirekt |
| PyPI | nvidia-cufile-cu12 | 1.13.1.3 | indirekt |
| PyPI | nvidia-curand-cu12 | 10.3.9.90 | indirekt |
| PyPI | nvidia-cusolver-cu12 | 11.7.3.90 | indirekt |
| PyPI | nvidia-cusparse-cu12 | 12.5.8.93 | indirekt |
| PyPI | nvidia-cusparselt-cu12 | 0.7.1 | indirekt |
| PyPI | nvidia-nccl-cu12 | 2.27.3 | indirekt |
| PyPI | nvidia-nvjitlink-cu12 | 12.8.93 | indirekt |
| PyPI | nvidia-nvtx-cu12 | 12.8.90 | indirekt |
| PyPI | onnxruntime | 1.23.1 | indirekt |
| PyPI | opentelemetry-api | 1.39.1 | indirekt |
| PyPI | opentelemetry-exporter-otlp | 1.39.1 | indirekt |
| PyPI | opentelemetry-exporter-otlp-proto-common | 1.39.1 | indirekt |
| PyPI | opentelemetry-exporter-otlp-proto-grpc | 1.39.1 | indirekt |
| PyPI | opentelemetry-exporter-otlp-proto-http | 1.39.1 | indirekt |
| PyPI | opentelemetry-proto | 1.39.1 | indirekt |
| PyPI | opentelemetry-sdk | 1.39.1 | indirekt |
| PyPI | opentelemetry-semantic-conventions | 0.60b1 | indirekt |
| PyPI | optuna | 4.5.0 | indirekt |
| PyPI | packaging | 25.0 | indirekt |
| PyPI | pillow | 11.3.0 | indirekt |
| PyPI | pluggy | 1.6.0 | indirekt |
| PyPI | primepy | 1.3 | indirekt |
| PyPI | propcache | 0.4.1 | indirekt |
| PyPI | protobuf | 6.32.1 | indirekt |
| PyPI | pyannote-core | 6.0.1 | indirekt |
| PyPI | pyannote-database | 6.1.1 | indirekt |
| PyPI | pyannote-metrics | 4.0.0 | indirekt |
| PyPI | pyannote-pipeline | 4.0.0 | indirekt |
| PyPI | pyannoteai-sdk | 0.4.0 | indirekt |
| PyPI | pygments | 2.19.2 | indirekt |
| PyPI | pyparsing | 3.2.5 | indirekt |
| PyPI | pyreadline3 | 3.5.4 | indirekt |
| PyPI | pytest | 9.0.2 | indirekt |
| PyPI | python-dateutil | 2.9.0.post0 | indirekt |
| PyPI | pytorch-lightning | 2.5.5 | indirekt |
| PyPI | pytorch-metric-learning | 2.9.0 | indirekt |
| PyPI | pytz | 2025.2 | indirekt |
| PyPI | pyyaml | 6.0.3 | indirekt |
| PyPI | regex | 2025.9.18 | indirekt |
| PyPI | requests | 2.32.5 | indirekt |
| PyPI | rich | 14.1.0 | indirekt |
| PyPI | safetensors | 0.6.2 | indirekt |
| PyPI | scikit-learn | 1.7.2 | indirekt |
| PyPI | scipy | 1.15.3 | indirekt |
| PyPI | scipy | 1.16.2 | indirekt |
| PyPI | setuptools | 80.9.0 | indirekt |
| PyPI | six | 1.17.0 | indirekt |
| PyPI | sortedcontainers | 2.4.0 | indirekt |
| PyPI | sqlalchemy | 2.0.43 | indirekt |
| PyPI | sympy | 1.14.0 | indirekt |
| PyPI | threadpoolctl | 3.6.0 | indirekt |
| PyPI | tokenizers | 0.22.1 | indirekt |
| PyPI | tomli | 2.2.1 | indirekt |
| PyPI | torch-audiomentations | 0.12.0 | indirekt |
| PyPI | torch-pitch-shift | 1.2.5 | indirekt |
| PyPI | torchmetrics | 1.8.2 | indirekt |
| PyPI | tqdm | 4.67.1 | indirekt |
| PyPI | typing-extensions | 4.15.0 | indirekt |
| PyPI | tzdata | 2025.2 | indirekt |
| PyPI | urllib3 | 2.5.0 | indirekt |
| PyPI | whisperx | 3.8.7rc1 | indirekt |
| PyPI | yarl | 1.20.1 | indirekt |
| PyPI | zipp | 3.23.0 | indirekt |
Die Installation von pypi:whisperx@3.8.6 zieht 106 Pakete nach sich, direkt und transitiv: 2 tragen bekannte Advisories, davon 2 direkte Abhängigkeiten.
| Paket | Version | Beziehung | Schweregrad | Advisories | Behoben in |
|---|---|---|---|---|---|
| transformers | 4.57.6 | direkt | kritisch | 7 | 5.5.0 |
| torch | 2.8.0 | direkt | hoch | 8 | 2.13.0 |
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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{
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{
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{
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"description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
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],
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},
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"schema_version": "0.17.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/m/m-bain/whisperX.svg",
"full_name": "m-bain/whisperX",
"license_state": "standard",
"license_spdx": "BSD-2-Clause"
}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.
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