Öffentliches RegisterGut
Software-GesundheitsberichtSchema 0.27.0 · Metriken 1.13.0 · 2026-07-30 22:04 UTC
Blaizzy / mlx-audio
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
Blaizzy/mlx-audio erreicht einen Gesundheitsindex von 83 von 100 und liegt damit im Bereich Gut. Am stärksten schneidet es bei Vitality (98/100) ab, am schwächsten bei AI Readiness (54/100). Zuletzt vor 1 Tag aktualisiert. 3 Mitwirkende tragen den Großteil der jüngsten Arbeit.
83
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.
83
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
Prince CanumaPersönliches Konto
1.458 Follower106 öffentliche Reposseit Nov. 2016kulissiwa.com
Dieses Repository gehört einem persönlichen Konto. Ein Projekt mit nur einem Eigentümer trägt ein höheres Kontinuitätsrisiko als ein organisationsgetragenes.
Paket-Ökosysteme
| Registry | Paket | Version | Downloads / Monat | Versionen | Zuletzt veröffentlicht |
|---|---|---|---|---|---|
| PyPI | mlx-audio | 0.4.6 | 362.747 | 26 | vor 5 Tagen |
Metriken nach Kategorie
Vitalität
Lebt das Projekt — wird Code geschrieben und werden Releases ausgeliefert?
98
Entwicklungsaktivität
96Exzellent
Wie die Bewertung erfolgt
| 36/36 | Push-Aktualität — letzter Push vor 1 Tagen |
| 31.8/36 | Commit-Rhythmus — 46/52 Wochen mit Commits |
| 18/18 | Commit-Volumen — 735 Commits im letzten Jahr |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10 |
Verwendete Eingangsdaten
| commits_last_year | 735 |
| human_commit_share | 1 |
| days_since_last_push | 1 |
| active_weeks_last_year | 46 |
Release-Disziplin
100Exzellent
Wie die Bewertung erfolgt
| 27/27 | Liefert Releases aus — 26 Releases veröffentlicht |
| 36/36 | Release-Aktualität — letztes Release vor 5 Tagen |
| 27/27 | Release-Rhythmus — ein Release etwa alle 20,4 Tage |
| 0/10 | OpenSSF Scorecard: Signed-Releases — keine Daten |
Verwendete Eingangsdaten
| releases_count | 26 |
| latest_release_tag | v0.4.6 |
| releases_from_tags | nein |
| days_since_latest_release | 5 |
| mean_days_between_releases | 20,4 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): OpenSSF Scorecard: Signed-Releases. Die verbleibenden Gewichte wurden renormalisiert.
Community & Verbreitung
Hat das Projekt Nutzer, Downloads, Aufmerksamkeit und ein einladendes Umfeld für Beitragende?
80
Popularität & Verbreitung
93Exzellent
Wie die Bewertung erfolgt
| 60/60 | Stars — 7.654 Stars |
| 23.6/25 | Forks — 680 Forks |
| 9.5/15 | Watcher — 53 Watcher |
Verwendete Eingangsdaten
| forks | 680 |
| stars | 7.654 |
| watchers | 53 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Community-Gesundheit
57Mittel
Wie die Bewertung erfolgt
| 22.5/22.5 | README |
| 22.5/22.5 | Lizenz — anerkannte Lizenz (MIT) |
| 0/18 | CONTRIBUTING-Leitfaden |
| 0/13.5 | Verhaltenskodex |
| 0/7.2 | Issue-Vorlage |
| 6.3/6.3 | PR-Vorlage |
Verwendete Eingangsdaten
| has_readme | ja |
| has_license | ja |
| has_contributing | nein |
| has_issue_template | nein |
| has_code_of_conduct | nein |
| has_pull_request_template | ja |
Ökosystem-Verbreitung (Downloads)
93Exzellent
Wie die Bewertung erfolgt
| 74.1/80 | Downloads pro Monat — 362.747 Downloads/Monat über pypi |
| 0/20 | Abhängige in der Registry — von diesem Ökosystem nicht ausgewiesen |
Verwendete Eingangsdaten
| packages | mlx-audio |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 362.747 |
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?
80
Wie die Bewertung erfolgt
| 36/54 | Bus-Faktor — 3 Beitragende decken die Hälfte aller Commits ab |
| 16.8/22.5 | Commit-Verteilung — wichtigste beitragende Person verfasste 26 % der Commits |
| 13.5/13.5 | Breite der Beitragenden — 99 Beitragende |
| 10/10 | OpenSSF Scorecard: Contributors — project has 9 contributing companies or organizations |
Verwendete Eingangsdaten
| bus_factor | 3 |
| contributors_sampled | 99 |
| top_contributor_share | 0,255 |
Wie die Bewertung erfolgt
| 35.9/46.8 | Issue-Lösungsquote — 77 % der Issues geschlossen |
| 30.7/38.3 | PR-Annahme — 426/531 entschiedene PRs gemergt |
| 10.5/15 | OpenSSF Scorecard: Code-Review — Found 10/13 approved changesets -- score normalized to 7 |
Verwendete Eingangsdaten
| merged_prs | 426 |
| open_issues | 70 |
| closed_issues | 231 |
| issue_closed_ratio | 0,767 |
| closed_unmerged_prs | 105 |
Wie die Bewertung erfolgt
| 10/30 | Organisatorische Trägerschaft — persönliches (Nutzer-)Konto |
| 0/20 | Verifizierte Domain — für Nutzerkonten nicht anwendbar |
| 22.7/25 | Reichweite des Inhabers — 1.458 Follower von Blaizzy |
| 25/25 | Kontohistorie — 106 öffentliche Repos, Kontoalter ca. 9 Jahre |
Verwendete Eingangsdaten
| followers | 1.458 |
| owner_type | User |
| is_verified | — |
| owner_login | Blaizzy |
| public_repos | 106 |
| account_age_days | 3.545 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Verifizierte Domain. Die verbleibenden Gewichte wurden renormalisiert.
Paketpflege
100Exzellent
Wie die Bewertung erfolgt
| 25/25 | Veröffentlicht & auflösbar — 1 Paket(e) auf pypi |
| 35/35 | Veröffentlichungsaktualität — letzte Veröffentlichung vor 5 Tagen |
| 20/20 | Versionshistorie — 26 veröffentlichte Versionen |
| 20/20 | Nicht veraltet — aktiv, nicht veraltet oder zurückgezogen |
Verwendete Eingangsdaten
| packages | mlx-audio |
| ecosystems | pypi |
| any_deprecated | nein |
| min_days_since_publish | 5 |
Engineering-Qualität
Sind grundlegende Engineering- und Dokumentationspraktiken vorhanden?
92
Engineering-Praktiken
94Exzellent
Wie die Bewertung erfolgt
| 24/24 | CI-Workflows — 4 Workflow(s) |
| 24/24 | Tests vorhanden |
| 16/16 | Linter-Konfiguration — .eslintrc.json |
| 9.6/9.6 | Pre-Commit-Hooks |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 13 out of 13 merged PRs checked by a CI test -- score normalized to 10 |
Verwendete Eingangsdaten
| has_ci | ja |
| has_tests | ja |
| has_editorconfig | nein |
| has_linter_config | ja |
| has_precommit_config | ja |
Dokumentation
90Exzellent
Wie die Bewertung erfolgt
| 30/30 | README |
| 25/25 | Dokumentationsverzeichnis |
| 15/15 | Dokumentations-/Homepage-Site — https://blaizzy.github.io/mlx-audio/ |
| 10/10 | Repository-Beschreibung |
| 10/10 | Topics — 9 Topics |
| 0/10 | Wiki |
Verwendete Eingangsdaten
| topics | apple-silicon, audio-processing, mlx, multimodal, speech-recognition, speech-synthesis, speech-to-text, text-to-speech, transformers |
| has_wiki | nein |
| homepage | https://blaizzy.github.io/mlx-audio/ |
| has_readme | ja |
| has_docs_dir | ja |
| has_description | ja |
Sicherheit
Sind die sichtbaren Sicherheits- und Lieferkettenpraktiken belastbar, ohne ungeklärte Exposition gegenüber Hochrisikojurisdiktionen?
58
Sicherheitslage
47Gefährdet
Wie die Bewertung erfolgt
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — keine Daten |
| 2.5/2.5 | CI-Tests — 13 out of 13 merged PRs checked by a CI test -- score normalized to 10 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 5.2/7.5 | Code-Review — Found 10/13 approved changesets -- score normalized to 7 |
| 2.5/2.5 | Contributors — project has 9 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.5/2.5 | Lizenz — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 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 — keine Daten |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 42 existing vulnerabilities detected |
Verwendete Eingangsdaten
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 4,8 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): branch_protection, signed_releases. 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 |
| 25/25 | Indirekte Abhängigkeiten ohne bekannte Advisories — keine indirekte Abhängigkeit trägt ein bekanntes Advisory |
| 0/40 | Keine offenen Advisories — kein Advisory trägt ein Veröffentlichungsdatum |
Verwendete Eingangsdaten
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 38 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Von der Bewertung ausgeschlossen (keine Daten oder nicht anwendbar): Keine offenen Advisories. Die verbleibenden Gewichte wurden renormalisiert. Abgeglichen wurde die Laufzeit-Abhängigkeitshülle von pypi:mlx-audio@0.4.6 — das, was die Installation des veröffentlichten Pakets nach sich zieht — mit 38 Paketen. 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
34Gefährdet
Wie die Bewertung erfolgt
| 0/45 | Agentenanweisungen — keine CLAUDE.md / AGENTS.md / Editor-Regeln |
| 0/15 | Maschinenlesbare Doku (llms.txt) |
| 34.1/40 | Lesbare Commit-Historie — 64 von 100 menschlichen Commits benennen ihre Absicht (strukturierter Betreff oder erläuternder Text) |
Verwendete Eingangsdaten
| has_llms_txt | nein |
| legible_history_share | 0,64 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Wie die Bewertung erfolgt
| 0/18 | Bootstrap mit einem Befehl |
| 22/22 | Automatisierte Tests |
| 11/11 | Lint-/Format-Konfiguration — .eslintrc.json |
| 11/11 | Statische Typprüfung — examples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json |
| 10/10 | Reproduzierbare Umgebung — lockfile |
| 10/10 | Belegte Agentenpraxis — 8 der letzten 100 Commits von Agenten verfasst oder ihnen zugeschrieben |
| 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 | uv.lock |
| has_dockerfile | nein |
| typed_language | nein |
| bootstrap_files | — |
| has_devcontainer | nein |
| has_linter_config | ja |
| typecheck_configs | examples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json |
| agent_commit_share | 0,08 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Wie die Bewertung erfolgt
| 27/45 | Typprüfbarer Code — Python mit Typprüfungs-Konfiguration (examples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json) |
| 54.4/55 | Handhabbare Dateigrößen — 8/731 Quelldateien über 60 KB |
Verwendete Eingangsdaten
| primary_language | Python |
| largest_source_bytes | 354.737 |
| source_files_sampled | 731 |
| oversized_source_files | 8 |
Maschinenlesbare AI-Schnittstellen
40Gefährdet
Wie die Bewertung erfolgt
| 0/40 | API-Schema (OpenAPI/GraphQL/proto) |
| 0/20 | MCP-Server |
| 40/40 | Lauffähige Beispiele — examples |
Verwendete Eingangsdaten
| example_dirs | examples |
| has_mcp_signal | nein |
| api_schema_files | — |
Eckdaten
7.654GitHub-Sterne
99Mitwirkende
735Commits, letzte 12 Monate
1Tage seit letztem Push
26Releases
3Bus-Faktor
70offene Issues
PyPIPaket-Ökosysteme
Warnungen zur Datenerhebung
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Weitere Details
Stern- und Fork-Verlauf 0 ★ / 680 ⇿
0Sterne
680Forks
26Releases
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 4Patch 21
Jeder Punkt umfasst 2 Tage.
OpenSSF Scorecard 4.8 / 10
4.8Gesamtwert
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 |
| 10 | CI-Tests | 13 out of 13 merged PRs checked by a CI test -- score normalized to 10 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 7 | Code-Review | Found 10/13 approved changesets -- score normalized to 7 |
| 10 | Contributors | project has 9 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow 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 |
| k. A. | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 42 existing vulnerabilities detected |
Direkte Abhängigkeiten 9
| Registry | Paket | Versionsvorgabe | Manifest |
|---|---|---|---|
| PyPI | huggingface_hub | >=1.0 | pyproject.toml |
| PyPI | miniaudio | >=1.61 | pyproject.toml |
| PyPI | mlx-lm | >=0.31.1 | pyproject.toml |
| PyPI | mlx | >=0.31.1 | pyproject.toml |
| PyPI | numpy | >=1.26.4 | pyproject.toml |
| PyPI | scipy | >=1.10.0 | pyproject.toml |
| PyPI | sounddevice | >=0.5.3 | pyproject.toml |
| PyPI | tqdm | >=4.67.1 | pyproject.toml |
| PyPI | transformers | >=5.14.0 | pyproject.toml |
Alle Abhängigkeiten 136
Vollständig aufgelöster Abhängigkeitssatz aus dem GitHub-Abhängigkeitsgraphen: 11 direkte und 125 indirekte (transitive) Pakete. Die transitive Hülle ist vollständig, wenn das Repository eine Lockfile eincheckt.
| Registry | Paket | Version | Beziehung |
|---|---|---|---|
| PyPI | huggingface-hub | 1.11.0 | direkt |
| PyPI | miniaudio | 1.61 | direkt |
| PyPI | mlx | 0.31.2 | direkt |
| PyPI | mlx-lm | 0.31.1 | direkt |
| PyPI | numpy | 2.2.6 | direkt |
| PyPI | numpy | 2.3.5 | direkt |
| PyPI | scipy | 1.15.3 | direkt |
| PyPI | scipy | 1.17.0 | direkt |
| PyPI | sounddevice | 0.5.3 | direkt |
| PyPI | tqdm | 4.67.1 | direkt |
| PyPI | transformers | 5.6.0 | direkt |
| npm | @react-three/drei | ~9.105.6 | indirekt |
| npm | @react-three/fiber | ~8.16.8 | indirekt |
| npm | @types/bun | latest | indirekt |
| npm | @types/fluent-ffmpeg | ^2.1.27 | indirekt |
| npm | @types/node | ^20 | indirekt |
| npm | @types/node | ^22.13.10 | indirekt |
| npm | @types/react | ^18 | indirekt |
| npm | @types/react-dom | ^18 | indirekt |
| npm | class-variance-authority | ^0.7.1 | indirekt |
| npm | clsx | ^2.1.1 | indirekt |
| npm | D | ^1.0.0 | indirekt |
| npm | eslint | ^8 | indirekt |
| npm | eslint-config-next | 14.2.16 | indirekt |
| npm | fluent-ffmpeg | ^2.1.3 | indirekt |
| npm | lucide-react | ^0.511.0 | indirekt |
| npm | mkdirp | ^3.0.1 | indirekt |
| npm | next | ^15.4.7 | indirekt |
| npm | next-themes | ^0.4.6 | indirekt |
| npm | postcss | ^8 | indirekt |
| npm | react | ^18 | indirekt |
| npm | react-dom | ^18 | indirekt |
| npm | tailwind-merge | ^3.3.0 | indirekt |
| npm | tailwindcss | ^3.4.1 | indirekt |
| npm | tailwindcss-animate | ^1.0.7 | indirekt |
| npm | three | ^0.163.0 | indirekt |
| npm | typescript | ^5 | indirekt |
| PyPI | annotated-doc | 0.0.4 | indirekt |
| PyPI | annotated-types | 0.7.0 | indirekt |
| PyPI | anyio | 4.12.1 | indirekt |
| PyPI | attrs | 25.4.0 | indirekt |
| PyPI | babel | 2.17.0 | indirekt |
| PyPI | backports-asyncio-runner | 1.2.0 | indirekt |
| PyPI | backrefs | 6.2 | indirekt |
| PyPI | black | 26.1.0 | indirekt |
| PyPI | certifi | 2026.1.4 | indirekt |
| PyPI | cffi | 2.0.0 | indirekt |
| PyPI | cfgv | 3.5.0 | indirekt |
| PyPI | charset-normalizer | 3.4.4 | indirekt |
| PyPI | click | 8.3.1 | indirekt |
| PyPI | colorama | 0.4.6 | indirekt |
| PyPI | distlib | 0.4.0 | indirekt |
| PyPI | exceptiongroup | 1.3.1 | indirekt |
| PyPI | fastapi | 0.128.0 | indirekt |
| PyPI | filelock | 3.20.3 | indirekt |
| PyPI | fsspec | 2026.1.0 | indirekt |
| PyPI | ghp-import | 2.1.0 | indirekt |
| PyPI | griffelib | 2.0.2 | indirekt |
| PyPI | h11 | 0.16.0 | indirekt |
| PyPI | hf-xet | 1.4.3 | indirekt |
| PyPI | httpcore | 1.0.9 | indirekt |
| PyPI | httptools | 0.7.1 | indirekt |
| PyPI | httpx | 0.28.1 | indirekt |
| PyPI | identify | 2.6.16 | indirekt |
| PyPI | idna | 3.11 | indirekt |
| PyPI | iniconfig | 2.3.0 | indirekt |
| PyPI | isort | 7.0.0 | indirekt |
| PyPI | jinja2 | 3.1.6 | indirekt |
| PyPI | jsonschema | 4.26.0 | indirekt |
| PyPI | jsonschema-specifications | 2025.9.1 | indirekt |
| PyPI | markdown | 3.10.2 | indirekt |
| PyPI | markdown-it-py | 4.0.0 | indirekt |
| PyPI | markupsafe | 3.0.3 | indirekt |
| PyPI | mdurl | 0.1.2 | indirekt |
| PyPI | mergedeep | 1.3.4 | indirekt |
| PyPI | mistral-common | 1.8.8 | indirekt |
| PyPI | mkdocs | 1.6.1 | indirekt |
| PyPI | mkdocs-autorefs | 1.4.4 | indirekt |
| PyPI | mkdocs-get-deps | 0.2.2 | indirekt |
| PyPI | mkdocs-material | 9.7.6 | indirekt |
| PyPI | mkdocs-material-extensions | 1.3.1 | indirekt |
| PyPI | mkdocstrings | 1.0.3 | indirekt |
| PyPI | mkdocstrings-python | 2.0.3 | indirekt |
| PyPI | mlx-metal | 0.31.2 | indirekt |
| PyPI | mypy-extensions | 1.1.0 | indirekt |
| PyPI | nodeenv | 1.10.0 | indirekt |
| PyPI | packaging | 26.0 | indirekt |
| PyPI | paginate | 0.5.7 | indirekt |
| PyPI | pathspec | 1.0.4 | indirekt |
| PyPI | pillow | 12.1.0 | indirekt |
| PyPI | platformdirs | 4.5.1 | indirekt |
| PyPI | pluggy | 1.6.0 | indirekt |
| PyPI | pre-commit | 4.5.1 | indirekt |
| PyPI | protobuf | 6.33.5 | indirekt |
| PyPI | pycountry | 24.6.1 | indirekt |
| PyPI | pycparser | 3.0 | indirekt |
| PyPI | pydantic | 2.12.5 | indirekt |
| PyPI | pydantic-core | 2.41.5 | indirekt |
| PyPI | pydantic-extra-types | 2.11.0 | indirekt |
| PyPI | pygments | 2.19.2 | indirekt |
| PyPI | pymdown-extensions | 10.21.2 | indirekt |
| PyPI | pytest | 9.0.2 | indirekt |
| PyPI | pytest-asyncio | 1.3.0 | indirekt |
| PyPI | python-dateutil | 2.9.0.post0 | indirekt |
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| PyPI | python-multipart | 0.0.22 | indirekt |
| PyPI | pytokens | 0.4.1 | indirekt |
| PyPI | pyyaml | 6.0.3 | indirekt |
| PyPI | pyyaml-env-tag | 1.1 | indirekt |
| PyPI | referencing | 0.37.0 | indirekt |
| PyPI | regex | 2026.1.15 | indirekt |
| PyPI | requests | 2.32.5 | indirekt |
| PyPI | rich | 14.3.3 | indirekt |
| PyPI | rpds-py | 0.30.0 | indirekt |
| PyPI | safetensors | 0.7.0 | indirekt |
| PyPI | sentencepiece | 0.2.1 | indirekt |
| PyPI | setuptools | 80.10.1 | indirekt |
| PyPI | shellingham | 1.5.4 | indirekt |
| PyPI | six | 1.17.0 | indirekt |
| PyPI | soundfile | 0.13.1 | indirekt |
| PyPI | soxr | 1.0.0 | indirekt |
| PyPI | starlette | 0.50.0 | indirekt |
| PyPI | tiktoken | 0.12.0 | indirekt |
| PyPI | tokenizers | 0.22.2 | indirekt |
| PyPI | tomli | 2.4.0 | indirekt |
| PyPI | typer | 0.24.1 | indirekt |
| PyPI | typing-extensions | 4.15.0 | indirekt |
| PyPI | typing-inspection | 0.4.2 | indirekt |
| PyPI | urllib3 | 2.6.3 | indirekt |
| PyPI | uvicorn | 0.40.0 | indirekt |
| PyPI | uvloop | 0.22.1 | indirekt |
| PyPI | virtualenv | 20.36.1 | indirekt |
| PyPI | watchdog | 6.0.0 | indirekt |
| PyPI | watchfiles | 1.1.1 | indirekt |
| PyPI | webrtcvad | 2.0.10 | indirekt |
| PyPI | websockets | 16.0 | indirekt |
Abhängigkeits-Advisories 0
Die Installation von pypi:mlx-audio@0.4.6 zieht 38 Pakete nach sich, direkt und transitiv: 0 tragen bekannte Advisories, davon 0 direkte Abhängigkeiten.
Keine bekannten Advisories betreffen die bewerteten Abhängigkeiten.
Ein Advisory bedeutet, dass die im Abhängigkeitsgraphen erfasste Version in den betroffenen Bereich eines Advisories fällt. Erreichbarkeit wird nicht analysiert, und der Graph enthält Entwicklungs- und Test-Pins — ein Fund kann das Werkzeug betreffen und nicht die ausgelieferte Software.
JSON-Rohbericht maschinenlesbar
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"body": "Add Confucius4-TTS: multilingual zero-shot voice-cloning TTS (MLX)",
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"headline": "Merge pull request #799 from Hert4/add-confucius4-tts",
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"body": "- Use the standard repo copyright header in all package files\n- generate(): load ref audio via mlx_audio.utils.load_audio (audio_io\n decode + resample_audio), dropping soundfile and librosa\n- _ref_mel: drop librosa; resample via resample_audio and use a\n self-contained slaney mel filterbank (match\n[…]\ne-9)\n- features.py: reimplement fbank_160 in MLX (vectorized mx.fft.rfft)\n- Add README with usage examples and supported mlx-community repo ids\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"body": "Reported in PR #799: sf.read returns sr but it was discarded, so\nfbank_160 / CAMPPlus / _ref_mel read a 44.1/48 kHz ref as 16 kHz,\nproducing a mel off by sr/16000 and garbled audio.",
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"body": "find_ckpt() now only resolves the sibling weights/ dir (the Model always passes\nan explicit path); drops a personal absolute HF-cache glob.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"body": "Pure-MLX port of netease-youdao/Confucius4-TTS (Apache-2.0): T2S GPT-2,\nS2A flow-matching (DiT+WaveNet), BigVGAN vocoder, w2v-bert conformer +\nECAPA/CAMPPlus speaker encoders. Torch-free inference (torch only in\nconvert.py). Reuses chatterbox CAMPPlus. Follows up #796.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"headline": "Merge pull request #785 from kanihal/fix-sinegen-length-alignment",
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"body": "Address the review feedback to keep audio inputs as mx.arrays and drop the\ntransformers feature extractor.\n\n- Add AudioFeatureExtractor, an nn.Module that takes an mx.array waveform and\n returns mx.array mel features, computing the log-mel spectrogram entirely in\n mx space via the shared mlx_audio\n[…]\nt while keeping nested-config building in __post_init__.\n- Tests cover the new extractor and BaseModelArgs config parsing.\n\nTranscription output is unchanged and still byte-identical to the reference.",
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"body": "- Segment audio with the in-tree Silero VAD (mlx_audio.vad) before\n transcription, matching the reference vad_cut path: VAD speech runs are\n turned into chunk ranges (respecting cut starts, last range to end, then\n split to chunk_size_seconds) and each chunk fills one <|AUDIO|> placeholder.\n spl\n[…]\nOptional where they default to None.\n- Add a model README.\n\nVerified against the original PyTorch model (transformers 4.51,\ntrust_remote_code) on the LibriSpeech dummy clip: identical output, WER 0.0.",
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"body": "Port the bosonai/higgs-audio-v3-stt model (model_type higgs_audio_3) to\nmlx-audio. The model pairs a Whisper-style audio encoder with a Qwen3 text\nbackbone and an MLP projector that temporally downsamples the audio features\nbefore splicing them into the text token stream.\n\n- higgs_audio_3/config.py:\n[…]\ns the unused audio-generation\n tensors.\n- Register higgs_audio_3 in the STT loader remapping.\n- Tests: tiny-config shape/forward/merge/sanitize coverage plus a gated\n real-weight transcription test.",
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"headline": "Merge pull request #807 from Lazarus-931/fix-714",
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"body": "…tion\n\nReduce Higgs v3 AR decode syncs",
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"headline": "Merge pull request #808 from sxy-trans-n/codex/higgs-v3-ar-sync-reduc…",
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"body": "perf(stt): hot-path profiling optimizations and memory/sync improvements",
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"headline": "Merge pull request #806 from hluaguo/perf/stt-pipeline-optimizations",
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"name": "Overall health",
"note": null,
"notes": [],
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"inputs": {
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"vitality": 98,
"community": 80,
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"components": []
},
"categories": [
{
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"metrics": [
{
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"note": null,
"notes": [],
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{
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"details": [],
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]
},
{
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},
{
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"inputs": {
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"components": [
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"details": [
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{
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{
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{
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"max_points": 10
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]
},
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"note": null,
"notes": [],
"value": 100,
"inputs": {
"cap": null,
"state": "maintained",
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"multiplier_pct": 100,
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"components": [
{
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{
"code": "abandonment_maintained",
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]
}
],
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},
{
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"name": "Community & Adoption",
"value": 80,
"weight": 0.18,
"metrics": [
{
"key": "popularity",
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"note": null,
"notes": [],
"value": 93,
"inputs": {
"forks": 680,
"stars": 7654,
"watchers": 53,
"growth_state": "unverified",
"growth_factor_pct": 100,
"growth_unverified_reason": "no_history"
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"components": [
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"key": "stars",
"name": "Stars",
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"points": 60,
"status": "met",
"details": [
{
"code": "stars",
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"count": 7654
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}
],
"max_points": 60
},
{
"key": "forks",
"name": "Forks",
"detail": "680 forks",
"points": 23.6,
"status": "partial",
"details": [
{
"code": "forks",
"params": {
"count": 680
}
}
],
"max_points": 25
},
{
"key": "watchers",
"name": "Watchers",
"detail": "53 watchers",
"points": 9.5,
"status": "partial",
"details": [
{
"code": "watchers",
"params": {
"count": 53
}
}
],
"max_points": 15
}
]
},
{
"key": "community_health",
"band": "moderate",
"name": "Community health",
"note": null,
"notes": [],
"value": 57,
"inputs": {
"has_readme": true,
"has_license": true,
"has_contributing": false,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": true
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
"status": "met",
"details": [],
"max_points": 22.5
},
{
"key": "license",
"name": "License",
"detail": "recognized license (MIT)",
"points": 22.5,
"status": "met",
"details": [
{
"code": "license_standard",
"params": {}
},
{
"code": "license_spdx",
"params": {
"spdx": "MIT"
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}
],
"max_points": 22.5
},
{
"key": "contributing_guide",
"name": "CONTRIBUTING guide",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 18
},
{
"key": "code_of_conduct",
"name": "Code of conduct",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
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},
{
"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": 6.3,
"status": "met",
"details": [],
"max_points": 6.3
}
]
},
{
"key": "ecosystem_adoption",
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"notes": [
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"code": "excluded_no_data",
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"components": [
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}
},
{
"code": "weights_renormalized",
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],
"value": 93,
"inputs": {
"packages": [
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"dependents": null,
"ecosystems": "pypi",
"total_downloads": null,
"monthly_downloads": 362747
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"components": [
{
"key": "monthly_downloads",
"name": "Monthly downloads",
"detail": "362,747 downloads/month across pypi",
"points": 74.1,
"status": "partial",
"details": [
{
"code": "downloads_monthly",
"params": {
"count": 362747,
"ecosystems": "pypi"
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}
],
"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",
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}
],
"max_points": 20
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]
}
],
"description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
},
{
"key": "governance",
"band": "good",
"name": "Sustainability & Governance",
"value": 80,
"weight": 0.24,
"metrics": [
{
"key": "maintainer_resilience",
"band": "good",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
"value": 76,
"inputs": {
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"contributors_sampled": 99,
"top_contributor_share": 0.255
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"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 26% of commits",
"points": 16.8,
"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 26
}
}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "99 contributors",
"points": 13.5,
"status": "met",
"details": [
{
"code": "contributors_sampled",
"params": {
"count": 99
}
}
],
"max_points": 13.5
},
{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "project has 9 contributing companies or organizations",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "good",
"name": "Issue & PR responsiveness",
"note": null,
"notes": [],
"value": 77,
"inputs": {
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"open_issues": 70,
"closed_issues": 231,
"issue_closed_ratio": 0.767,
"closed_unmerged_prs": 105
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"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "77% of issues closed",
"points": 35.9,
"status": "partial",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 77
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}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "426/531 decided PRs merged",
"points": 30.7,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
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}
],
"max_points": 38.25
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{
"key": "openssf_scorecard_code_review",
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"points": 10.5,
"status": "partial",
"details": [],
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]
},
{
"key": "stewardship",
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"notes": [
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"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
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}
],
"value": 72,
"inputs": {
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"owner_type": "User",
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"owner_login": "Blaizzy",
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"account_age_days": 3545
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"components": [
{
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"status": "partial",
"details": [
{
"code": "owner_personal",
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}
],
"max_points": 30
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{
"key": "verified_domain",
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"detail": "not applicable to user accounts",
"points": 0,
"status": "excluded",
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{
"code": "not_applicable_to_user_accounts",
"params": {}
}
],
"max_points": 20
},
{
"key": "owner_reach",
"name": "Owner reach",
"detail": "1,458 followers of Blaizzy",
"points": 22.7,
"status": "partial",
"details": [
{
"code": "owner_followers",
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"login": "Blaizzy"
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}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "106 public repos, account ~9 yr old",
"points": 25,
"status": "met",
"details": [
{
"code": "public_repos",
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},
{
"code": "account_age_years",
"params": {
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}
],
"max_points": 25
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]
},
{
"key": "package_maintenance",
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"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"packages": [
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"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 5
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"components": [
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"key": "published_resolvable",
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"detail": "1 package(s) on pypi",
"points": 25,
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"details": [
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"code": "packages_published",
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"ecosystems": "pypi"
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}
],
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{
"key": "publish_recency",
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"detail": "latest publish 5 days ago",
"points": 35,
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"details": [
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"code": "publish_recency",
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}
],
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{
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"points": 20,
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"details": [
{
"code": "published_versions",
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}
],
"max_points": 20
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{
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"details": [
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"code": "package_not_deprecated",
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],
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]
}
],
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{
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"name": "Engineering Quality",
"value": 92,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "excellent",
"name": "Engineering practices",
"note": null,
"notes": [],
"value": 94,
"inputs": {
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"has_tests": true,
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"has_linter_config": true,
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"components": [
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"name": "CI workflows",
"detail": "4 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
"params": {
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}
],
"max_points": 24
},
{
"key": "tests_present",
"name": "Tests present",
"detail": null,
"points": 24,
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"details": [],
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},
{
"key": "linter_config",
"name": "Linter config",
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"points": 16,
"status": "met",
"details": [
{
"code": "file_list",
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],
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},
{
"key": "pre_commit_hooks",
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},
{
"key": "editorconfig",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "openssf_scorecard_ci_tests",
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"points": 20,
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]
},
{
"key": "documentation",
"band": "excellent",
"name": "Documentation",
"note": null,
"notes": [],
"value": 90,
"inputs": {
"topics": [
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"homepage": "https://blaizzy.github.io/mlx-audio/",
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"components": [
{
"key": "readme",
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"points": 30,
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{
"key": "documentation_directory",
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"points": 25,
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"details": [],
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{
"key": "documentation_homepage_site",
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"status": "met",
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{
"key": "repository_description",
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"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
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{
"key": "topics",
"name": "Topics",
"detail": "9 topics",
"points": 10,
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"details": [
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"params": {
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}
],
"max_points": 10
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{
"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": "moderate",
"name": "Security",
"value": 58,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "at_risk",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.",
"notes": [
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"code": "excluded_no_data",
"params": {
"components": [
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},
{
"code": "weights_renormalized",
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],
"value": 47,
"inputs": {
"source": "openssf_scorecard",
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"scorecard_version": "v5.5.0",
"checks_inconclusive": 2,
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"detail": "no binaries found in the repo",
"points": 7.5,
"status": "met",
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},
{
"key": "branch_protection",
"name": "Branch-Protection",
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"points": 0,
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"code": "no_data",
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],
"max_points": 7.5
},
{
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},
{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
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},
{
"key": "code_review",
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"points": 5.2,
"status": "partial",
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},
{
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"points": 2.5,
"status": "met",
"details": [],
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},
{
"key": "dangerous_workflow",
"name": "Dangerous-Workflow",
"detail": "no dangerous workflow patterns detected",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "no update tool detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "license",
"name": "License",
"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "sast",
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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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},
"warnings": [
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],
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"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/b/Blaizzy/mlx-audio.svg",
"full_name": "Blaizzy/mlx-audio",
"license_state": "standard",
"license_spdx": "MIT"
}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 — PyPI.