Публічний реєстрДобрий
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 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 має індекс здоров’я 83 зі 100, що відповідає смузі «Добрий». Найвищий показник — Vitality (98/100), найнижчий — AI Readiness (54/100). Останнє оновлення було 1 день тому. Більшість нещодавньої роботи виконують 3 учасники.
83
загалом / 100Індекс здоров'я програмного забезпечення
Метрики згруповано у зважені категорії на шкалі 1–100. Загальна оцінка починається як їхнє середнє; коли публічні дані активують Політику юрисдикцій високого ризику, рейтинг коригується й отримує верхню межу 49 («Під ризиком»). Готовність до ШІ не входить до індексу.
83
Відмінний85-100Зразковий; відповідає практично всім перевіреним критеріям
Добрий70-84Здоровий; незначні прогалини
Помірний50-69Прийнятний, але з помітними прогалинами; рекомендовано перевірку
У зоні ризику30-49Суттєві слабкі місця; впровадження потребує обережності
Критичний1-29Серйозні проблеми (покинутий, єдиний мейнтейнер, без базової гігієни)
Профіль оцінок
Кожна вісь — окрема категорія. Форма важить більше, ніж середнє: здоровий об'єкт заповнює всю фігуру, тоді як профіль із піками та провалами означає, що сила в одному вимірі маскує ризик в іншому.
Власність
Prince CanumaОсобистий обліковий запис
1 458 підписників106 публічних репозиторіївз лист. 2016 р.kulissiwa.com
Цей репозиторій належить особистому обліковому запису. Проєкт з єдиним власником несе більший ризик безперервності, ніж підтримуваний організацією.
Пакетні екосистеми
| Реєстр | Пакет | Версія | Завантажень / міс | Версії | Остання публікація |
|---|---|---|---|---|---|
| PyPI | mlx-audio | 0.4.6 | 362 747 | 26 | 5 днів тому |
Метрики за категоріями
Життєздатність
Чи живий проєкт — чи пишеться код і чи виходять релізи?
98
Активність розробки
96Відмінний
Як обчислюється оцінка
| 36/36 | Свіжість push — останній push 1 дн. тому |
| 31.8/36 | Ритм комітів — 46/52 тижнів із комітами |
| 18/18 | Обсяг комітів — 735 комітів за останній рік |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10 |
Використані вхідні дані
| commits_last_year | 735 |
| human_commit_share | 1 |
| days_since_last_push | 1 |
| active_weeks_last_year | 46 |
Дисципліна релізів
100Відмінний
Як обчислюється оцінка
| 27/27 | Випускає релізи — опубліковано 26 релізів |
| 36/36 | Свіжість релізів — останній реліз 5 дн. тому |
| 27/27 | Ритм релізів — реліз кожні ~20,4 дн. |
| 0/10 | OpenSSF Scorecard: Signed-Releases — немає даних |
Використані вхідні дані
| releases_count | 26 |
| latest_release_tag | v0.4.6 |
| releases_from_tags | ні |
| days_since_latest_release | 5 |
| mean_days_between_releases | 20,4 |
Виключено з оцінювання (немає даних або не застосовно): OpenSSF Scorecard: Signed-Releases. Залишкові ваги перенормовано.
Спільнота та впровадження
Чи має проєкт користувачів, завантаження, увагу та влаштовані умови для контриб’юторів?
80
Популярність і впровадження
93Відмінний
Як обчислюється оцінка
| 60/60 | Зірки — 7 654 зірок |
| 23.6/25 | Форки — 680 форків |
| 9.5/15 | Спостерігачі — 53 спостерігачів |
Використані вхідні дані
| forks | 680 |
| stars | 7 654 |
| watchers | 53 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Здоров'я спільноти
57Помірний
Як обчислюється оцінка
| 22.5/22.5 | README |
| 22.5/22.5 | Ліцензія — визнана ліцензія (MIT) |
| 0/18 | Настанови CONTRIBUTING |
| 0/13.5 | Кодекс поведінки |
| 0/7.2 | Шаблон issue |
| 6.3/6.3 | Шаблон PR |
Використані вхідні дані
| has_readme | так |
| has_license | так |
| has_contributing | ні |
| has_issue_template | ні |
| has_code_of_conduct | ні |
| has_pull_request_template | так |
Впровадження в екосистемі (завантаження)
93Відмінний
Як обчислюється оцінка
| 74.1/80 | Щомісячні завантаження — 362 747 завантажень/місяць у pypi |
| 0/20 | Залежні пакети в реєстрі — ця екосистема цього не повідомляє |
Використані вхідні дані
| packages | mlx-audio |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 362 747 |
Виключено з оцінювання (немає даних або не застосовно): Залежні пакети в реєстрі. Залишкові ваги перенормовано.
Сталість та врядування
Чи переживе проєкт своїх людей — бас-фактор, реактивність, хто за ним стоїть і як супроводжуються пакети?
80
Як обчислюється оцінка
| 36/54 | Бас-фактор — на 3 контриб’ютор(ів) припадає половина всіх комітів |
| 16.8/22.5 | Розподіл комітів — головний контриб’ютор — автор 26% комітів |
| 13.5/13.5 | Широта контриб’юторів — 99 контриб’юторів |
| 10/10 | OpenSSF Scorecard: Contributors — project has 9 contributing companies or organizations |
Використані вхідні дані
| bus_factor | 3 |
| contributors_sampled | 99 |
| top_contributor_share | 0,255 |
Реактивність на issue та PR
77Добрий
Як обчислюється оцінка
| 35.9/46.8 | Вирішення issue — закрито 77% issue |
| 30.7/38.3 | Прийняття PR — злито 426/531 вирішених PR |
| 10.5/15 | OpenSSF Scorecard: Code-Review — Found 10/13 approved changesets -- score normalized to 7 |
Використані вхідні дані
| merged_prs | 426 |
| open_issues | 70 |
| closed_issues | 231 |
| issue_closed_ratio | 0,767 |
| closed_unmerged_prs | 105 |
Власність та опіка
72Добрий
Як обчислюється оцінка
| 10/30 | Підтримка власника — особистий (користувацький) обліковий запис |
| 0/20 | Верифікований домен — не застосовно до користувацьких облікових записів |
| 22.7/25 | Охоплення власника — 1 458 підписників у Blaizzy |
| 25/25 | Послужний список — 106 публічних репозиторіїв, вік облікового запису ~9 р. |
Використані вхідні дані
| followers | 1 458 |
| owner_type | User |
| is_verified | — |
| owner_login | Blaizzy |
| public_repos | 106 |
| account_age_days | 3 545 |
Виключено з оцінювання (немає даних або не застосовно): Верифікований домен. Залишкові ваги перенормовано.
Супровід пакетів
100Відмінний
Як обчислюється оцінка
| 25/25 | Опубліковано й доступно — 1 пакет(ів) у pypi |
| 35/35 | Свіжість публікацій — остання публікація 5 дн. тому |
| 20/20 | Історія версій — 26 опублікованих версій |
| 20/20 | Не застарілий — активний, не deprecated і не yanked |
Використані вхідні дані
| packages | mlx-audio |
| ecosystems | pypi |
| any_deprecated | ні |
| min_days_since_publish | 5 |
Інженерна якість
Чи наявні базові інженерні практики та документація?
92
Інженерні практики
94Відмінний
Як обчислюється оцінка
| 24/24 | Процеси CI — 4 процес(ів) CI |
| 24/24 | Наявні тести |
| 16/16 | Конфігурація лінтера — .eslintrc.json |
| 9.6/9.6 | Pre-commit-хуки |
| 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 |
Використані вхідні дані
| has_ci | так |
| has_tests | так |
| has_editorconfig | ні |
| has_linter_config | так |
| has_precommit_config | так |
Документація
90Відмінний
Як обчислюється оцінка
| 30/30 | README |
| 25/25 | Каталог документації |
| 15/15 | Сайт документації / домашня сторінка — https://blaizzy.github.io/mlx-audio/ |
| 10/10 | Опис репозиторію |
| 10/10 | Теми — 9 тем |
| 0/10 | Wiki |
Використані вхідні дані
| topics | apple-silicon, audio-processing, mlx, multimodal, speech-recognition, speech-synthesis, speech-to-text, text-to-speech, transformers |
| has_wiki | ні |
| homepage | https://blaizzy.github.io/mlx-audio/ |
| has_readme | так |
| has_docs_dir | так |
| has_description | так |
Безпека
Чи міцні видимі практики безпеки й ланцюга постачання, без непослабленої пов’язаності з юрисдикціями високого ризику?
58
Стан безпеки
47У зоні ризику
Як обчислюється оцінка
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — немає даних |
| 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 | Ліцензія — 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 — немає даних |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 0/7.5 | Vulnerabilities — 42 existing vulnerabilities detected |
Використані вхідні дані
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 4,8 |
Виключено з оцінювання (немає даних або не застосовно): branch_protection, signed_releases. Залишкові ваги перенормовано.
Сповіщення про залежності
100Відмінний
Як обчислюється оцінка
| 35/35 | Прямі залежності без відомих сповіщень — жодна пряма залежність не має відомих сповіщень |
| 25/25 | Непрямі залежності без відомих сповіщень — жодна непряма залежність не має відомих сповіщень |
| 0/40 | Немає задавнених сповіщень — жодне сповіщення не має дати публікації |
Використані вхідні дані
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 38 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Виключено з оцінювання (немає даних або не застосовно): Немає задавнених сповіщень. Залишкові ваги перенормовано. Звірено з runtime-замиканням залежностей pypi:mlx-audio@0.4.6 — тим, що тягне за собою встановлення опублікованого пакета, — 38 пакетів. Досяжність не аналізується.
Готовність до ШІ
Наскільки репозиторій оснащений для розробки та супроводу за участі ШІ-агентів? Незалежний, експериментальний бейдж — вага 0.0, тож він подається окремо і не впливає на загальний індекс здоров'я.
54
Контекст і настанови для агентів
34У зоні ризику
Як обчислюється оцінка
| 0/45 | Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора |
| 0/15 | Машиночитана документація (llms.txt) |
| 34.1/40 | Читабельна історія комітів — намір зазначено у 64 з 100 людських комітів (структурований заголовок або пояснювальний текст) |
Використані вхідні дані
| has_llms_txt | ні |
| legible_history_share | 0,64 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Як обчислюється оцінка
| 0/18 | Розгортання однією командою |
| 22/22 | Автоматизовані тести |
| 11/11 | Конфігурація лінтера / форматера — .eslintrc.json |
| 11/11 | Статична перевірка типів — examples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json |
| 10/10 | Відтворюване середовище — lockfile |
| 10/10 | Підтверджена практика роботи з агентами — 8 з останніх 100 комітів створено агентом або з його зазначенням |
| 0/8 | Автоматизоване супроводження — автоматичних оновлень залежностей не виявлено |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Використані вхідні дані
| has_nix | ні |
| has_tests | так |
| lockfiles | uv.lock |
| has_dockerfile | ні |
| typed_language | ні |
| bootstrap_files | — |
| has_devcontainer | ні |
| has_linter_config | так |
| typecheck_configs | examples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json |
| agent_commit_share | 0,08 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Читабельність коду для моделей
81Добрий
Як обчислюється оцінка
| 27/45 | Типізований код — Python з конфігурацією перевірки типів (examples/bible-audiobook/tsconfig.json, mlx_audio/ui/tsconfig.json) |
| 54.4/55 | Керовані розміри файлів — 8/731 файлів вихідного коду понад 60 КБ |
Використані вхідні дані
| primary_language | Python |
| largest_source_bytes | 354 737 |
| source_files_sampled | 731 |
| oversized_source_files | 8 |
Машиночитні інтерфейси
40У зоні ризику
Як обчислюється оцінка
| 0/40 | Схема API (OpenAPI/GraphQL/proto) |
| 0/20 | Сервер MCP |
| 40/40 | Придатні до запуску приклади — examples |
Використані вхідні дані
| example_dirs | examples |
| has_mcp_signal | ні |
| api_schema_files | — |
Ключові факти
7 654зірок GitHub
99контриб'юторів
735комітів за останні 12 місяців
1днів від останнього пушу
26релізів
3бас-фактор
70відкритих issue
PyPIпакетних екосистем
Попередження щодо збору даних
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
Докладніше
Історія зірок і форків 0 ★ / 680 ⇿
0Зірки
680Форки
26Релізи
Коли додано кожну зірку й форк — зібрано з GitHub і згруповано за днями. Кумулятивне зростання розміщено просто над денними додаваннями, з яких воно складається, тож їх видно одне проти одного: рівномірне органічне накопичення виглядає зовсім інакше, ніж різкий короткочасний сплеск. Там, де цю різницю можна виміряти, її подано як автентичність росту.
Мажорні 0Мінорні 4Патчі 21
Кожна точка охоплює 2 днів.
OpenSSF Scorecard 4.8 / 10
4.8сукупно
Незалежна, не прив'язана до інструментів оцінка безпеки від відкритого проєкту OpenSSF Scorecard. Кожна перевірка винагороджує практику безпеки, а не інструмент конкретного постачальника. Перевірки, які Scorecard не зміг визначити, позначено н/д і виключено з оцінки безпеки (вони ніколи не зараховуються як нуль).
| 10 | Binary-Artifacts | no binaries found in the repo |
| н/д | 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 |
| н/д | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 0 | Vulnerabilities | 42 existing vulnerabilities detected |
Прямі залежності 9
| Реєстр | Пакет | Обмеження версії | Маніфест |
|---|---|---|---|
| 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 |
Усі залежності 136
Повний розв'язаний набір залежностей із графа залежностей GitHub: 11 прямих і 125 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
| Реєстр | Пакет | Версія | Зв'язок |
|---|---|---|---|
| PyPI | huggingface-hub | 1.11.0 | пряма |
| PyPI | miniaudio | 1.61 | пряма |
| PyPI | mlx | 0.31.2 | пряма |
| PyPI | mlx-lm | 0.31.1 | пряма |
| PyPI | numpy | 2.2.6 | пряма |
| PyPI | numpy | 2.3.5 | пряма |
| PyPI | scipy | 1.15.3 | пряма |
| PyPI | scipy | 1.17.0 | пряма |
| PyPI | sounddevice | 0.5.3 | пряма |
| PyPI | tqdm | 4.67.1 | пряма |
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| npm | @react-three/fiber | ~8.16.8 | непряма |
| npm | @types/bun | latest | непряма |
| npm | @types/fluent-ffmpeg | ^2.1.27 | непряма |
| npm | @types/node | ^20 | непряма |
| npm | @types/node | ^22.13.10 | непряма |
| npm | @types/react | ^18 | непряма |
| npm | @types/react-dom | ^18 | непряма |
| npm | class-variance-authority | ^0.7.1 | непряма |
| npm | clsx | ^2.1.1 | непряма |
| npm | D | ^1.0.0 | непряма |
| npm | eslint | ^8 | непряма |
| npm | eslint-config-next | 14.2.16 | непряма |
| npm | fluent-ffmpeg | ^2.1.3 | непряма |
| npm | lucide-react | ^0.511.0 | непряма |
| npm | mkdirp | ^3.0.1 | непряма |
| npm | next | ^15.4.7 | непряма |
| npm | next-themes | ^0.4.6 | непряма |
| npm | postcss | ^8 | непряма |
| npm | react | ^18 | непряма |
| npm | react-dom | ^18 | непряма |
| npm | tailwind-merge | ^3.3.0 | непряма |
| npm | tailwindcss | ^3.4.1 | непряма |
| npm | tailwindcss-animate | ^1.0.7 | непряма |
| npm | three | ^0.163.0 | непряма |
| npm | typescript | ^5 | непряма |
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| PyPI | annotated-types | 0.7.0 | непряма |
| PyPI | anyio | 4.12.1 | непряма |
| PyPI | attrs | 25.4.0 | непряма |
| PyPI | babel | 2.17.0 | непряма |
| PyPI | backports-asyncio-runner | 1.2.0 | непряма |
| PyPI | backrefs | 6.2 | непряма |
| PyPI | black | 26.1.0 | непряма |
| PyPI | certifi | 2026.1.4 | непряма |
| PyPI | cffi | 2.0.0 | непряма |
| PyPI | cfgv | 3.5.0 | непряма |
| PyPI | charset-normalizer | 3.4.4 | непряма |
| PyPI | click | 8.3.1 | непряма |
| PyPI | colorama | 0.4.6 | непряма |
| PyPI | distlib | 0.4.0 | непряма |
| PyPI | exceptiongroup | 1.3.1 | непряма |
| PyPI | fastapi | 0.128.0 | непряма |
| PyPI | filelock | 3.20.3 | непряма |
| PyPI | fsspec | 2026.1.0 | непряма |
| PyPI | ghp-import | 2.1.0 | непряма |
| PyPI | griffelib | 2.0.2 | непряма |
| PyPI | h11 | 0.16.0 | непряма |
| PyPI | hf-xet | 1.4.3 | непряма |
| PyPI | httpcore | 1.0.9 | непряма |
| PyPI | httptools | 0.7.1 | непряма |
| PyPI | httpx | 0.28.1 | непряма |
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| PyPI | idna | 3.11 | непряма |
| PyPI | iniconfig | 2.3.0 | непряма |
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| PyPI | jinja2 | 3.1.6 | непряма |
| PyPI | jsonschema | 4.26.0 | непряма |
| PyPI | jsonschema-specifications | 2025.9.1 | непряма |
| PyPI | markdown | 3.10.2 | непряма |
| PyPI | markdown-it-py | 4.0.0 | непряма |
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| PyPI | mkdocstrings-python | 2.0.3 | непряма |
| PyPI | mlx-metal | 0.31.2 | непряма |
| PyPI | mypy-extensions | 1.1.0 | непряма |
| PyPI | nodeenv | 1.10.0 | непряма |
| PyPI | packaging | 26.0 | непряма |
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Сповіщення про залежності 0
Встановлення pypi:mlx-audio@0.4.6 тягне 38 пакетів, прямих і транзитивних: 0 мають відомі сповіщення, з них 0 — прямі залежності.
Жодне відоме сповіщення не стосується оцінених залежностей.
Сповіщення означає, що версія, записана в графі залежностей, потрапляє в уражений діапазон. Досяжність не аналізується, а граф містить піниї розробки й тестування — знахідка може стосуватися інструментів, а не поставленого коду.
Звіт у форматі JSON машиночитний
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{
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"headline": "Merge pull request #850 from dmpolukhin/fix/chatterbox-s3gen-conforme…",
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{
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"body": "…ance\n\ntest: account for Metal matmul precision",
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"headline": "Merge pull request #848 from sasan1200/feat/mega-asr-lora-metal-toler…",
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{
"oid": "ce8615fd2c865119215d53bf17fd60fdc6e624b6",
"body": "realtime: gate transcription behind the VAD so the GPU idles during silence",
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"headline": "Merge pull request #839 from YV17labs/feature/realtime-vad-gate",
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{
"oid": "ce31a214e64d391cdb5f2188fc88ff9cbcaa567d",
"body": "The extra _REALTIME_PREROLL_MARGIN_MS was over-provisioning on top of the\nOpenAI prefix_padding_ms lead-in, which already covers the VAD's confirmation\nlatency. Testing with the margin at 0 showed no onset clipping, so the pre-roll\nnow tracks prefix_padding_ms exactly, matching the OpenAI semantics literally.",
"is_bot": false,
"headline": "realtime: drop the pre-roll margin, keep only prefix_padding_ms",
"author_name": "Yoann Vanitou",
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{
"oid": "bbe6a31ea0aecd8b94eb3ee62d424af80a7714f8",
"body": "…ilence\n\nOn /v1/realtime with server_vad, every appended chunk was fed to the streaming\ntranscription model and decoded (`session.step()`), silence included. `feed()`\nonly buffers, but `step()` is real GPU work — so the GPU never dropped below 100%\neven when nobody was speaking, which is punishing f\n[…]\n?model= choice and\nthe VAD stays the operator's --vad-model; nothing is hard-coded, the change is\nagnostic to both.\n\nNew test proves the win: pure silence never feeds or steps the transcription model.",
"is_bot": false,
"headline": "realtime: gate transcription behind the VAD so the GPU idles during s…",
"author_name": "Yoann Vanitou",
"author_login": "maltyxx",
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{
"oid": "797806a6572c56a393041904d45ef3059ee5004f",
"body": "In server_vad mode the item was created only on speech_started, so transcription deltas from leading audio carried item_id: null. Create it on the first appended audio instead; speech_started reuses it.",
"is_bot": false,
"headline": "realtime: create the conversation item on the first append",
"author_name": "Yoann Vanitou",
"author_login": "maltyxx",
"committed_at": "2026-07-22T15:31:38Z",
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"body": "I kept the original class here for posterity, but this could probably be\nrefactored out entirely",
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"headline": "GraniteRMSNorm -> mx.fast.rms_norm",
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"body": "…erformance",
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"headline": "Merge pull request #826 from lucasnewman/improve-transcribe-diarize-p…",
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"body": "…eatures\n\nOptimize MOSS-TD audio feature injection",
"is_bot": false,
"headline": "Merge pull request #823 from sxy-trans-n/codex/moss-td-inject-audio-f…",
"author_name": "Lucas Newman",
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"headline": "Merge branch 'main' into codex/moss-td-inject-audio-features",
"author_name": "Prince Canuma",
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"oid": "222a605be00e5ce30c0f8295a39f05acab419d9d",
"body": "Fix slow STT tests",
"is_bot": false,
"headline": "Merge pull request #810 from lucasnewman/fix-slow-stt-tests",
"author_name": "Prince Canuma",
"author_login": "Blaizzy",
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"author_name": "Prince Canuma",
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"body": "Bump version to v0.4.5",
"is_bot": false,
"headline": "Merge pull request #824 from Blaizzy/Blaizzy-patch-8",
"author_name": "Prince Canuma",
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"body": "Signed-off-by: Prince Canuma <prince.gdt@gmail.com>",
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"headline": "Update version.py",
"author_name": "Prince Canuma",
"author_login": "Blaizzy",
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"headline": "Optimize MOSS-TD audio feature injection",
"author_name": "sxy-trans-n",
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{
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"body": "feat(stt): implement segment batching for Qwen3-ASR (--max-parallel-segments)",
"is_bot": false,
"headline": "Merge pull request #783 from hhh2210/feat/qwen3-asr-segment-batching",
"author_name": "Lucas Newman",
"author_login": "lucasnewman",
"committed_at": "2026-07-06T17:56:47Z",
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{
"oid": "1d7f1e347d4f80539a6a9fb66dfd56f2f9ff45c9",
"body": "Add MOSS-Music",
"is_bot": false,
"headline": "Merge pull request #819 from lucasnewman/add-moss-music",
"author_name": "Prince Canuma",
"author_login": "Blaizzy",
"committed_at": "2026-07-05T22:44:59Z",
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"body": "Signed-off-by: Lucas Newman <lucasnewman@me.com>",
"is_bot": false,
"headline": "Merge branch 'main' into add-moss-music",
"author_name": "Lucas Newman",
"author_login": "lucasnewman",
"committed_at": "2026-07-05T22:25:02Z",
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"headline": "Add instruct model.",
"author_name": "Lucas Newman",
"author_login": "lucasnewman",
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"body": null,
"is_bot": false,
"headline": "Add MOSS-Music.",
"author_name": "Lucas Newman",
"author_login": "lucasnewman",
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"headline": "Merge pull request #817 from lucasnewman/nemotron-asr-chunked-stft",
"author_name": "Prince Canuma",
"author_login": "Blaizzy",
"committed_at": "2026-07-04T22:01:02Z",
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"headline": "Merge branch 'main' into nemotron-asr-chunked-stft",
"author_name": "Lucas Newman",
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"headline": "Pin transformers version to fix tests.",
"author_name": "Lucas Newman",
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"headline": "Prevent OOM for Nemotron ASR.",
"author_name": "Lucas Newman",
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{
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"body": "[Model] Support MOSS-Transcribe-Diarize",
"is_bot": false,
"headline": "Merge pull request #812 from gcanlin/mtd",
"author_name": "Lucas Newman",
"author_login": "lucasnewman",
"committed_at": "2026-07-03T03:39:01Z",
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"body": "Signed-off-by: Canlin Guo <canlinguosdu@gmail.com>",
"is_bot": false,
"headline": "Fix test",
"author_name": "Canlin Guo",
"author_login": "gcanlin",
"committed_at": "2026-07-03T03:26:04Z",
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"headline": "[Model] Support MOSS-Transcribe-Diarize",
"author_name": "Canlin Guo",
"author_login": "gcanlin",
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"body": null,
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"headline": "Merge branch 'main' into fix-slow-stt-tests",
"author_name": "Lucas Newman",
"author_login": "lucasnewman",
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"body": null,
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"headline": "Remove test.",
"author_name": "Lucas Newman",
"author_login": "lucasnewman",
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{
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"headline": "Merge pull request #792 from lucasnewman/zonos2-stream-and-batching",
"author_name": "Prince Canuma",
"author_login": "Blaizzy",
"committed_at": "2026-07-01T20:38:53Z",
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{
"oid": "405cd61903b68159fe6a11d9d96fc58c0a4f38bb",
"body": "Add Confucius4-TTS: multilingual zero-shot voice-cloning TTS (MLX)",
"is_bot": false,
"headline": "Merge pull request #799 from Hert4/add-confucius4-tts",
"author_name": "Lucas Newman",
"author_login": "lucasnewman",
"committed_at": "2026-07-01T20:19:09Z",
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{
"oid": "7633216a0c44b9badb0c83f52cedafd355c73a7b",
"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>",
"is_bot": false,
"headline": "fix(confucius4): address PR #799 review feedback",
"author_name": "Hert4",
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"headline": "fix(confucius4): extend S2A RoPE freqs past 4096 frames",
"author_name": "Hert4",
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"oid": "1bab49f2b8e37b43527d463c1e7bec50b53e76a4",
"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.",
"is_bot": false,
"headline": "fix(confucius4): resample ref audio to 16 kHz before frontend",
"author_name": "Hert4",
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{
"oid": "89a80e46363f1139968b9442c712dcbc3b0b0de5",
"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>",
"is_bot": false,
"headline": "Remove hardcoded local cache path from t2s find_ckpt",
"author_name": "Hert4",
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"oid": "87d57992d58ab0ca1bbfc27f9773eef657a8567a",
"body": "When --quantize is set, also 8/4-bit the w2v-bert per-layer ffn + attention\nlinears (feature_projection kept fp32: in=160 not divisible by group 64).\nShrinks the bundled encoder ~1.5GB -> ~0.6GB; int8 model dir ~3.6GB -> ~2.6GB.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
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"headline": "Quantize w2v-bert encoder linears too (int8/int4)",
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"body": "T2S quant bits/group_size now read from config (quant_bits/quant_group_size);\nconvert.py --quantize {int8,int4} writes config.json with the chosen bits.\nint4 is ~same size/speed as int8 here (text-embedding table dominates the fp32\nremainder; decode bound by S2A+vocoder), so int8 stays the recommended default.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Configurable quant bits + int4 support",
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"body": "8-bit (group 64) quantize the T2S body matmuls via mx.quantized_matmul;\nkeep semantic_head + norms + embeddings fp32 (8-bit head degrades token\nselection / pronunciation). ~half the T2S RAM, ~20% faster decode, audio\nquality preserved. convert.py also now exports tokenizer.json for torch-free load.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
"is_bot": false,
"headline": "T2S int8 quantization (convert --quantize int8)",
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"oid": "e00f98288c7f50d7d4a51504c0e0ab1bb3479300",
"body": "Co-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>",
"is_bot": false,
"headline": "Apply black + isort formatting (CI style)",
"author_name": "Hert4",
"author_login": "Hert4",
"committed_at": "2026-07-01T17:12:37Z",
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{
"oid": "0f5764171434d3e230d88f9fc677fdb4bb6210bd",
"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>",
"is_bot": false,
"headline": "Add Confucius4-TTS: multilingual zero-shot voice-cloning TTS (MLX)",
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"body": "Fix SineGen length alignment",
"is_bot": false,
"headline": "Merge pull request #785 from kanihal/fix-sinegen-length-alignment",
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"points": 0,
"status": "missed",
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"max_points": 6.4
},
{
"key": "openssf_scorecard_ci_tests",
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"points": 20,
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}
]
},
{
"key": "documentation",
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"note": null,
"notes": [],
"value": 90,
"inputs": {
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"components": [
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{
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{
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{
"key": "topics",
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"points": 0,
"status": "missed",
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]
}
],
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},
{
"key": "security",
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"weight": 0.16,
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{
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{
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{
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{
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{
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{
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},
{
"key": "maintained",
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"points": 7.5,
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{
"key": "packaging",
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"points": 5,
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"details": [],
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{
"key": "pinned_dependencies",
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"points": 0,
"status": "missed",
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},
{
"key": "sast",
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"points": 0,
"status": "missed",
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},
{
"key": "security_policy",
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"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
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"points": 0,
"status": "excluded",
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"code": "no_data",
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}
],
"max_points": 7.5
},
{
"key": "token_permissions",
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"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "42 existing vulnerabilities detected",
"points": 0,
"status": "missed",
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}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
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"notes": [
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"notes": [],
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"inputs": {
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},
{
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"notes": [
{
"code": "jurisdiction_evidence_limits",
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}
],
"value": 100,
"inputs": {
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"red_flag": false,
"exposures": [],
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{
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"weight": 0,
"metrics": [
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{
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},
{
"key": "ai_interfaces",
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"note": null,
"notes": [],
"value": 40,
"inputs": {
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"api_schema_files": []
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"components": [
{
"key": "api_schema_openapi_graphql_proto",
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"points": 0,
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"details": [],
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{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "runnable_examples",
"name": "Runnable examples",
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"status": "met",
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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."
}
],
"metrics_version": "1.13.0"
},
"warnings": [
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],
"report_type": "repository",
"generated_at": "2026-07-30T22:04:52.472370Z",
"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"
}Оцінки — це сигнали, а не гарантії. Вони відображають публічно видимі практики на GitHub — це не аудит коду й не гарантія безпеки.
Відсутні дані виключаються, а ваги перенормовуються — нуль за відсутність ніколи не ставиться. Методологія версіонована й відкрита: метрики v1.13.0, схема v0.27.0 — повна методологія · вікі метрик.
Як окремий результат виглядає на тлі всього реєстру: сукупна статистика — PyPI.