Публічний реєстрДобрий
Звіт про здоров'я програмного забезпеченнясхема 0.17.0 · метрики 1.13.0 · 2026-07-21 04:07 UTC
Nixtla / mlforecast
Scalable machine 🤖 learning for time series forecasting.
Nixtla/mlforecast має індекс здоров’я 83 зі 100, що відповідає смузі «Добрий». Найвищий показник — Engineering Quality (92/100), найнижчий — AI Readiness (54/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконує один учасник.
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
NixtlaОрганізація
2 817 підписників39 публічних репозиторіївз бер. 2021 р.
За цим репозиторієм стоїть організація — спільна, підзвітна опіка, здатна пережити будь-якого окремого мейнтейнера.
Пакетні екосистеми
| Реєстр | Пакет | Версія | Завантажень / міс | Версії | Остання публікація | Теги |
|---|---|---|---|---|---|---|
| PyPI | mlforecast | 1.1.0 | 466 392 | 58 | 11 днів тому | pythonforecastforecastingmachine-learningdask |
Метрики за категоріями
Життєздатність
Чи живий проєкт — чи пишеться код і чи виходять релізи?
91
Активність розробки
90Відмінний
Як обчислюється оцінка
| 36/36 | Свіжість push — останній push 0 дн. тому |
| 25.6/36 | Ритм комітів — 37/52 тижнів із комітами |
| 18/18 | Обсяг комітів — 133 комітів за останній рік |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Використані вхідні дані
| commits_last_year | 133 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 37 |
Дисципліна релізів
92Відмінний
Як обчислюється оцінка
| 27/27 | Випускає релізи — опубліковано 44 релізів |
| 36/36 | Свіжість релізів — останній реліз 11 дн. тому |
| 19.8/27 | Ритм релізів — реліз кожні ~67,6 дн. |
| 0/10 | OpenSSF Scorecard: Signed-Releases — немає даних |
Використані вхідні дані
| releases_count | 44 |
| latest_release_tag | v1.1.0 |
| releases_from_tags | ні |
| days_since_latest_release | 11 |
| mean_days_between_releases | 67,6 |
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?
85
Популярність і впровадження
73Добрий
Як обчислюється оцінка
| 50.3/60 | Зірки — 1 254 зірок |
| 17.5/25 | Форки — 128 форків |
| 5/15 | Спостерігачі — 9 спостерігачів |
Використані вхідні дані
| forks | 128 |
| stars | 1 254 |
| watchers | 9 |
| growth_state | organic |
| growth_factor_pct | 100 |
Здоров'я спільноти
92Відмінний
Як обчислюється оцінка
| 22.5/22.5 | README |
| 22.5/22.5 | Ліцензія — визнана ліцензія (Apache-2.0) |
| 18/18 | Настанови CONTRIBUTING |
| 13.5/13.5 | Кодекс поведінки |
| 0/7.2 | Шаблон issue |
| 6.3/6.3 | Шаблон PR |
Використані вхідні дані
| has_readme | так |
| has_license | так |
| has_contributing | так |
| has_issue_template | ні |
| has_code_of_conduct | так |
| has_pull_request_template | так |
Впровадження в екосистемі (завантаження)
94Відмінний
Як обчислюється оцінка
| 75.6/80 | Щомісячні завантаження — 466 392 завантажень/місяць у pypi |
| 0/20 | Залежні пакети в реєстрі — ця екосистема цього не повідомляє |
Використані вхідні дані
| packages | mlforecast |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 466 392 |
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?
76
Стійкість мейнтейнерів (бас-фактор)
42У зоні ризику
Як обчислюється оцінка
| 9/54 | Бас-фактор — на 1 контриб’ютор(ів) припадає половина всіх комітів |
| 9.3/22.5 | Розподіл комітів — головний контриб’ютор — автор 59% комітів |
| 13.5/13.5 | Широта контриб’юторів — 25 контриб’юторів |
| 10/10 | OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations |
Використані вхідні дані
| bus_factor | 1 |
| contributors_sampled | 25 |
| top_contributor_share | 0,587 |
Реактивність на issue та PR
95Відмінний
Як обчислюється оцінка
| 45.6/46.8 | Вирішення issue — закрито 98% issue |
| 34.1/38.3 | Прийняття PR — злито 365/410 вирішених PR |
| 15/15 | OpenSSF Scorecard: Code-Review — all changesets reviewed |
Використані вхідні дані
| merged_prs | 365 |
| open_issues | 5 |
| closed_issues | 199 |
| issue_closed_ratio | 0,975 |
| closed_unmerged_prs | 45 |
Власність та опіка
77Добрий
Як обчислюється оцінка
| 30/30 | Підтримка власника — у власності організації |
| 0/20 | Верифікований домен |
| 24.8/25 | Охоплення власника — 2 817 підписників у Nixtla |
| 22.4/25 | Послужний список — 39 публічних репозиторіїв, вік облікового запису ~5 р. |
Використані вхідні дані
| followers | 2 817 |
| owner_type | Organization |
| is_verified | — |
| owner_login | Nixtla |
| public_repos | 39 |
| account_age_days | 1 966 |
Супровід пакетів
100Відмінний
Як обчислюється оцінка
| 25/25 | Опубліковано й доступно — 1 пакет(ів) у pypi |
| 35/35 | Свіжість публікацій — остання публікація 11 дн. тому |
| 20/20 | Історія версій — 58 опублікованих версій |
| 20/20 | Не застарілий — активний, не deprecated і не yanked |
Використані вхідні дані
| packages | mlforecast |
| ecosystems | pypi |
| any_deprecated | ні |
| min_days_since_publish | 11 |
Інженерна якість
Чи наявні базові інженерні практики та документація?
92
Інженерні практики
94Відмінний
Як обчислюється оцінка
| 24/24 | Процеси CI — 7 процес(ів) CI |
| 24/24 | Наявні тести |
| 16/16 | Конфігурація лінтера |
| 9.6/9.6 | Pre-commit-хуки |
| 0/6.4 | .editorconfig |
| 20/20 | OpenSSF Scorecard: CI-Tests — 30 out of 30 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://nixtlaverse.nixtla.io/mlforecast |
| 10/10 | Опис репозиторію |
| 10/10 | Теми — 8 тем |
| 0/10 | Wiki |
Використані вхідні дані
| topics | forecast, forecasting, machine-learning, lightgbm, xgboost, dask, python, time-series |
| has_wiki | ні |
| homepage | https://nixtlaverse.nixtla.io/mlforecast |
| 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?
68
Стан безпеки
60Помірний
Як обчислюється оцінка
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 3.8/7.5 | Branch-Protection — branch protection is not maximal on development and all release branches |
| 2.5/2.5 | CI-Tests — 30 out of 30 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 |
| 7.5/7.5 | Code-Review — all changesets reviewed |
| 2.5/2.5 | Contributors — project has 5 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 | Ліцензія — license file detected |
| 7.5/7.5 | Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 0/5 | Packaging — немає даних |
| 2/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4 |
| 2.5/5 | SAST — SAST tool is not run on all commits -- score normalized to 5 |
| 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 — 16 existing vulnerabilities detected |
Використані вхідні дані
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 6 |
Виключено з оцінювання (немає даних або не застосовно): packaging, 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 | 24 |
| 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:mlforecast@1.1.0 — тим, що тягне за собою встановлення опублікованого пакета, — 24 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
1Критичний
Як обчислюється оцінка
| 0/45 | Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора |
| 0/15 | Машиночитана документація (llms.txt) |
| 0/40 | Читабельна історія комітів — немає даних |
Використані вхідні дані
| has_llms_txt | ні |
| legible_history_share | — |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Виключено з оцінювання (немає даних або не застосовно): Читабельна історія комітів. Залишкові ваги перенормовано.
Як обчислюється оцінка
| 18/18 | Розгортання однією командою — Makefile |
| 22/22 | Автоматизовані тести |
| 11/11 | Конфігурація лінтера / форматера |
| 11/11 | Статична перевірка типів — mlforecast/py.typed |
| 10/10 | Відтворюване середовище — lockfile |
| 0/10 | Підтверджена практика роботи з агентами — немає даних |
| 5/8 | Автоматизоване супроводження — автоматизацію залежностей налаштовано, але у вибірці комітів її не видно |
| 4/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 4 |
Використані вхідні дані
| has_nix | ні |
| has_tests | так |
| lockfiles | uv.lock |
| has_dockerfile | ні |
| typed_language | ні |
| bootstrap_files | Makefile |
| has_devcontainer | ні |
| has_linter_config | так |
| typecheck_configs | mlforecast/py.typed |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Виключено з оцінювання (немає даних або не застосовно): Підтверджена практика роботи з агентами. Залишкові ваги перенормовано.
Читабельність коду для моделей
77Добрий
Як обчислюється оцінка
| 27/45 | Типізований код — Python з конфігурацією перевірки типів (mlforecast/py.typed) |
| 49.8/55 | Керовані розміри файлів — 6/64 файлів вихідного коду понад 60 КБ |
Використані вхідні дані
| primary_language | Python |
| largest_source_bytes | 154 837 |
| source_files_sampled | 64 |
| oversized_source_files | 6 |
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 — notebooks |
Використані вхідні дані
| example_dirs | notebooks |
| has_mcp_signal | ні |
| api_schema_files | — |
Ключові факти
1 254зірок GitHub
25контриб'юторів
133комітів за останні 12 місяців
0днів від останнього пушу
44релізів
1бас-фактор
5відкритих issue
PyPIпакетних екосистем
Докладніше
Історія зірок і форків 1 254 ★ / 0 ⇿
1 254Зірки
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.
Показано лише найновішу історію — цей репозиторій перевищує вікно збору, тож найраніша історія не захоплена.
Кожна точка охоплює 4 днів.
OpenSSF Scorecard 6.0 / 10
6.0сукупно
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 |
| 5 | Branch-Protection | branch protection is not maximal on development and all release branches |
| 10 | CI-Tests | 30 out of 30 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 |
| 10 | Code-Review | all changesets reviewed |
| 10 | Contributors | project has 5 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 | 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| н/д | Packaging | packaging workflow not detected |
| 4 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 4 |
| 5 | SAST | SAST tool is not run on all commits -- score normalized to 5 |
| 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 | 16 existing vulnerabilities detected |
Прямі залежності 8
| Реєстр | Пакет | Обмеження версії | Маніфест |
|---|---|---|---|
| PyPI | cloudpickle | — | pyproject.toml |
| PyPI | coreforecast | >=0.0.15 | pyproject.toml |
| PyPI | fsspec | — | pyproject.toml |
| PyPI | narwhals | — | pyproject.toml |
| PyPI | optuna | — | pyproject.toml |
| PyPI | pandas | <3.0 | pyproject.toml |
| PyPI | scikit-learn | — | pyproject.toml |
| PyPI | utilsforecast | >=0.2.9 | pyproject.toml |
Усі залежності 216
Повний розв'язаний набір залежностей із графа залежностей GitHub: 9 прямих і 207 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
| Реєстр | Пакет | Версія | Зв'язок |
|---|---|---|---|
| PyPI | cloudpickle | 3.1.2 | пряма |
| PyPI | coreforecast | 0.0.18 | пряма |
| PyPI | fsspec | 2026.1.0 | пряма |
| PyPI | narwhals | 2.15.0 | пряма |
| PyPI | optuna | 4.7.0 | пряма |
| PyPI | pandas | 2.3.3 | пряма |
| PyPI | scikit-learn | 1.7.2 | пряма |
| PyPI | scikit-learn | 1.8.0 | пряма |
| PyPI | utilsforecast | 0.2.15 | пряма |
| PyPI | adagio | 0.2.6 | непряма |
| PyPI | adlfs | 2025.8.0 | непряма |
| PyPI | aiobotocore | 3.1.1 | непряма |
| PyPI | aiohappyeyeballs | 2.6.1 | непряма |
| PyPI | aiohttp | 3.14.1 | непряма |
| PyPI | aioitertools | 0.13.0 | непряма |
| PyPI | aiosignal | 1.4.0 | непряма |
| PyPI | alembic | 1.18.1 | непряма |
| PyPI | annotated-doc | 0.0.4 | непряма |
| PyPI | annotated-types | 0.7.0 | непряма |
| PyPI | anyio | 4.12.1 | непряма |
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| PyPI | azure-core | 1.38.0 | непряма |
| PyPI | azure-datalake-store | 0.0.53 | непряма |
| PyPI | azure-identity | 1.25.1 | непряма |
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| PyPI | bokeh | 3.8.2 | непряма |
| PyPI | botocore | 1.42.30 | непряма |
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| PyPI | catboost | 1.2.10 | непряма |
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| PyPI | cffi | 2.0.0 | непряма |
| PyPI | cfgv | 3.5.0 | непряма |
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| PyPI | cycler | 0.12.1 | непряма |
| PyPI | dask | 2026.1.1 | непряма |
| PyPI | databricks-sdk | 0.80.0 | непряма |
| PyPI | datasetsforecast | 1.0.1 | непряма |
| PyPI | decorator | 5.2.1 | непряма |
| PyPI | distlib | 0.4.0 | непряма |
| PyPI | distributed | 2026.1.1 | непряма |
| PyPI | docker | 7.1.0 | непряма |
| PyPI | duckdb | 1.4.3 | непряма |
| PyPI | exceptiongroup | 1.3.1 | непряма |
| PyPI | execnet | 2.1.2 | непряма |
| PyPI | fastapi | 0.136.3 | непряма |
| PyPI | filelock | 3.20.3 | непряма |
| PyPI | flask | 3.1.3 | непряма |
| PyPI | flask-cors | 6.0.2 | непряма |
| PyPI | fonttools | 4.61.1 | непряма |
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| PyPI | fugue | 0.9.4 | непряма |
| PyPI | gcsfs | 2026.1.0 | непряма |
| PyPI | gitdb | 4.0.12 | непряма |
| PyPI | gitpython | 3.1.50 | непряма |
| PyPI | google-api-core | 2.29.0 | непряма |
| PyPI | google-auth | 2.47.0 | непряма |
| PyPI | google-auth-oauthlib | 1.2.4 | непряма |
| PyPI | google-cloud-core | 2.5.0 | непряма |
| PyPI | google-cloud-storage | 3.8.0 | непряма |
| PyPI | google-cloud-storage-control | 1.9.0 | непряма |
| PyPI | google-crc32c | 1.8.0 | непряма |
| PyPI | google-resumable-media | 2.8.0 | непряма |
| PyPI | googleapis-common-protos | 1.72.0 | непряма |
| PyPI | graphene | 3.4.3 | непряма |
| PyPI | graphql-core | 3.2.7 | непряма |
| PyPI | graphql-relay | 3.2.0 | непряма |
| PyPI | graphviz | 0.21 | непряма |
| PyPI | greenlet | 3.3.0 | непряма |
| PyPI | griffe2md | 1.5.0 | непряма |
| PyPI | griffelib | 2.0.0 | непряма |
| PyPI | grpc-google-iam-v1 | 0.14.3 | непряма |
| PyPI | grpcio | 1.76.0 | непряма |
| PyPI | grpcio-status | 1.76.0 | непряма |
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| PyPI | h11 | 0.16.0 | непряма |
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| PyPI | hijridate | 2.3.0 | непряма |
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| PyPI | itsdangerous | 2.2.0 | непряма |
| PyPI | jinja2 | 3.1.6 | непряма |
| PyPI | jmespath | 1.1.0 | непряма |
| PyPI | joblib | 1.5.3 | непряма |
| PyPI | jsonschema | 4.26.0 | непряма |
| PyPI | jsonschema-specifications | 2025.9.1 | непряма |
| PyPI | kiwisolver | 1.4.9 | непряма |
| PyPI | korean-lunar-calendar | 0.3.1 | непряма |
| PyPI | librt | 0.7.8 | непряма |
| PyPI | lightgbm | 4.6.0 | непряма |
| PyPI | lightgbm-ray | 0.1.9 | непряма |
| PyPI | locket | 1.0.0 | непряма |
| PyPI | lz4 | 4.4.5 | непряма |
| PyPI | mako | 1.3.12 | непряма |
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| PyPI | markupsafe | 3.0.3 | непряма |
| PyPI | matplotlib | 3.10.8 | непряма |
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| PyPI | mdurl | 0.1.2 | непряма |
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| PyPI | mlflow-skinny | 3.14.0 | непряма |
| PyPI | mlflow-tracing | 3.14.0 | непряма |
| PyPI | mlforecast | 1.1.0 | непряма |
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| PyPI | msal-extensions | 1.3.1 | непряма |
| PyPI | msgpack | 1.2.1 | непряма |
| PyPI | multidict | 6.7.0 | непряма |
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| PyPI | mypy-extensions | 1.1.0 | непряма |
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| PyPI | numpy | 2.4.1 | непряма |
| PyPI | oauthlib | 3.3.1 | непряма |
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| PyPI | pyasn1-modules | 0.4.2 | непряма |
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| PyPI | pydantic-core | 2.41.5 | непряма |
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Сповіщення про залежності 0
Встановлення pypi:mlforecast@1.1.0 тягне 24 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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"avatar_url": "https://avatars.githubusercontent.com/u/8473587?v=4"
},
{
"type": "Bot",
"login": "dependabot[bot]",
"commits": 70,
"avatar_url": "https://avatars.githubusercontent.com/in/29110?v=4"
},
{
"type": "User",
"login": "nasaul",
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"avatar_url": "https://avatars.githubusercontent.com/u/17485259?v=4"
},
{
"type": "User",
"login": "AzulGarza",
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"avatar_url": "https://avatars.githubusercontent.com/u/10517170?v=4"
},
{
"type": "User",
"login": "deven367",
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"avatar_url": "https://avatars.githubusercontent.com/u/31466137?v=4"
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{
"type": "User",
"login": "janrth",
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},
{
"type": "User",
"login": "jose-moralez",
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"avatar_url": "https://avatars.githubusercontent.com/u/61287624?v=4"
},
{
"type": "User",
"login": "simonez-tuidi",
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"avatar_url": "https://avatars.githubusercontent.com/u/210335954?v=4"
},
{
"type": "User",
"login": "ammarsaf",
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"avatar_url": "https://avatars.githubusercontent.com/u/88831990?v=4"
},
{
"type": "User",
"login": "hahnbeelee",
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"avatar_url": "https://avatars.githubusercontent.com/u/55263191?v=4"
}
],
"contributors_sampled": 25,
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"has_tests": true,
"ci_workflows": [
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"ci.yaml",
"lint.yaml",
"no-response.yaml",
"pytest.yml",
"python-publish.yml",
"release-drafter.yml"
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"has_docs_dir": true,
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"has_linter_config": true,
"has_precommit_config": true
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"checks": [
{
"name": "Binary-Artifacts",
"score": 10,
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#binary-artifacts"
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{
"name": "Branch-Protection",
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"reason": "branch protection is not maximal on development and all release branches",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#branch-protection"
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{
"name": "CI-Tests",
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#ci-tests"
},
{
"name": "CII-Best-Practices",
"score": 0,
"reason": "no effort to earn an OpenSSF best practices badge detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#cii-best-practices"
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{
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},
{
"name": "Contributors",
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"reason": "project has 5 contributing companies or organizations",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#contributors"
},
{
"name": "Dangerous-Workflow",
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"reason": "no dangerous workflow patterns detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dangerous-workflow"
},
{
"name": "Dependency-Update-Tool",
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"reason": "update tool detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dependency-update-tool"
},
{
"name": "Fuzzing",
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"reason": "project is not fuzzed",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#fuzzing"
},
{
"name": "License",
"score": 10,
"reason": "license file detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#license"
},
{
"name": "Maintained",
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#maintained"
},
{
"name": "Packaging",
"score": null,
"reason": "packaging workflow not detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#packaging"
},
{
"name": "Pinned-Dependencies",
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"reason": "dependency not pinned by hash detected -- score normalized to 4",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#pinned-dependencies"
},
{
"name": "SAST",
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"reason": "SAST tool is not run on all commits -- score normalized to 5",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#sast"
},
{
"name": "Security-Policy",
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"reason": "security policy file not detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#security-policy"
},
{
"name": "Signed-Releases",
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},
{
"name": "Token-Permissions",
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"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#token-permissions"
},
{
"name": "Vulnerabilities",
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"reason": "16 existing vulnerabilities detected",
"documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#vulnerabilities"
}
],
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"has_security_policy": false,
"has_dependabot_config": true
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},
"config": {
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"disabled_categories": [],
"disabled_components": {}
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"source": {
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"metrics": {
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"vitality": 91,
"community": 85,
"governance": 76,
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"components": []
},
"categories": [
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"metrics": [
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"note": null,
"notes": [],
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"inputs": {
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"status": "partial",
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{
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"key": "openssf_scorecard_maintained",
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]
},
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"key": "release_discipline",
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},
{
"code": "weights_renormalized",
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],
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"components": [
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"key": "ships_releases",
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"details": [
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"code": "releases_published",
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],
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{
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{
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]
},
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"key": "abandonment",
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"signals": [],
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],
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"key": "popularity",
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"components": [
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],
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{
"key": "forks",
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"points": 17.5,
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"code": "forks",
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}
],
"max_points": 25
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{
"key": "watchers",
"name": "Watchers",
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}
],
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]
},
{
"key": "community_health",
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"note": null,
"notes": [],
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"inputs": {
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"has_issue_template": false,
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"has_pull_request_template": true
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"components": [
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"key": "readme",
"name": "README",
"detail": null,
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"status": "met",
"details": [],
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{
"key": "license",
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"status": "met",
"details": [
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"code": "license_standard",
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{
"code": "license_spdx",
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{
"key": "contributing_guide",
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{
"key": "code_of_conduct",
"name": "Code of conduct",
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{
"key": "issue_template",
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{
"key": "pr_template",
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"key": "monthly_downloads",
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],
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{
"key": "registry_dependents",
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{
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"key": "maintainer_resilience",
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{
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"code": "top_contributor_share",
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"key": "openssf_scorecard_contributors",
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},
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"key": "responsiveness",
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{
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"key": "openssf_scorecard_code_review",
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]
},
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"key": "stewardship",
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"account_age_days": 1966
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"components": [
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"key": "ownership_backing",
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"details": [
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"code": "owner_organization",
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],
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{
"key": "verified_domain",
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"detail": null,
"points": 0,
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{
"key": "owner_reach",
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"code": "owner_followers",
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{
"key": "track_record",
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"points": 22.4,
"status": "partial",
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"code": "public_repos",
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},
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"code": "account_age_years",
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],
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]
},
{
"key": "package_maintenance",
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"components": [
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"key": "published_resolvable",
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"code": "packages_published",
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}
],
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{
"key": "publish_recency",
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"status": "met",
"details": [
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"code": "publish_recency",
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],
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{
"key": "version_history",
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"points": 20,
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"code": "published_versions",
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}
],
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{
"key": "not_deprecated",
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],
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]
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],
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"band": "excellent",
"name": "Engineering Quality",
"value": 92,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "excellent",
"name": "Engineering practices",
"note": null,
"notes": [],
"value": 94,
"inputs": {
"has_ci": true,
"has_tests": true,
"has_editorconfig": false,
"has_linter_config": true,
"has_precommit_config": true
},
"components": [
{
"key": "ci_workflows",
"name": "CI workflows",
"detail": "7 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
"params": {
"count": 7
}
}
],
"max_points": 24
},
{
"key": "tests_present",
"name": "Tests present",
"detail": null,
"points": 24,
"status": "met",
"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
"detail": null,
"points": 16,
"status": "met",
"details": [],
"max_points": 16
},
{
"key": "pre_commit_hooks",
"name": "Pre-commit hooks",
"detail": null,
"points": 9.6,
"status": "met",
"details": [],
"max_points": 9.6
},
{
"key": "editorconfig",
"name": ".editorconfig",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 6.4
},
{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
"detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
"points": 20,
"status": "met",
"details": [],
"max_points": 20
}
]
},
{
"key": "documentation",
"band": "excellent",
"name": "Documentation",
"note": null,
"notes": [],
"value": 90,
"inputs": {
"topics": [
"forecast",
"forecasting",
"machine-learning",
"lightgbm",
"xgboost",
"dask",
"python",
"time-series"
],
"has_wiki": false,
"homepage": "https://nixtlaverse.nixtla.io/mlforecast",
"has_readme": true,
"has_docs_dir": true,
"has_description": true
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 30,
"status": "met",
"details": [],
"max_points": 30
},
{
"key": "documentation_directory",
"name": "Documentation directory",
"detail": null,
"points": 25,
"status": "met",
"details": [],
"max_points": 25
},
{
"key": "documentation_homepage_site",
"name": "Documentation / homepage site",
"detail": "https://nixtlaverse.nixtla.io/mlforecast",
"points": 15,
"status": "met",
"details": [],
"max_points": 15
},
{
"key": "repository_description",
"name": "Repository description",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "topics",
"name": "Topics",
"detail": "8 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
"params": {
"count": 8
}
}
],
"max_points": 10
},
{
"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": 68,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "moderate",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"packaging",
"signed_releases"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 60,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 16,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 2,
"scorecard_aggregate": 6
},
"components": [
{
"key": "binary_artifacts",
"name": "Binary-Artifacts",
"detail": "no binaries found in the repo",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "branch_protection",
"name": "Branch-Protection",
"detail": "branch protection is not maximal on development and all release branches",
"points": 3.8,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "cii_best_practices",
"name": "CII-Best-Practices",
"detail": "no effort to earn an OpenSSF best practices badge detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 2.5
},
{
"key": "code_review",
"name": "Code-Review",
"detail": "all changesets reviewed",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 5 contributing companies or organizations",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"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": "update tool detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
},
{
"key": "fuzzing",
"name": "Fuzzing",
"detail": "project is not fuzzed",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"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 0 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 not detected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 4",
"points": 2,
"status": "partial",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is not run on all commits -- score normalized to 5",
"points": 2.5,
"status": "partial",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "16 existing vulnerabilities detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:mlforecast@1.1.0 runtime dependency closure — what installing the published package pulls in — 24 packages. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"no_advisories_left_outstanding"
]
}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_published",
"params": {
"package": "pypi:mlforecast@1.1.0",
"assessed": 24
}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 0,
"affected_packages": 0,
"assessed_packages": 24,
"unassessed_packages": 0,
"affected_by_severity": "none",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "no indirect dependency carries a known advisory",
"points": 25,
"status": "met",
"details": [
{
"code": "no_indirect_advisories",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_no_publication_date",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
"band": "excellent",
"name": "Malicious dependencies",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"source": "osv",
"meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
"packages": [],
"red_flag": false,
"assessed_packages": 24,
"malicious_packages": 0,
"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
"installable_malicious_packages": 0
},
"components": [
{
"key": "no_dependency_reported_as_a_malicious_package",
"name": "No dependency reported as a malicious package",
"detail": "no dependency is reported as a malicious package",
"points": 100,
"status": "met",
"details": [
{
"code": "no_malicious_dependencies",
"params": {}
}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "excellent",
"name": "High-Risk Jurisdiction Exposure",
"note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
"meaning": "self-published location evidence; not nationality or citizenship",
"red_flag": false,
"exposures": [],
"policy_countries": [
"Russia",
"Iran",
"North Korea"
],
"review_only_matches": 0,
"assessed_self_published_locations": 10
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
"detail": "no confirmed policy-scope location match",
"points": 100,
"status": "met",
"details": [
{
"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
"description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
},
{
"key": "ai_readiness",
"band": "moderate",
"name": "AI Readiness",
"value": 54,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"legible_commit_history"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 1,
"inputs": {
"has_llms_txt": false,
"legible_history_share": null,
"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
"name": "Agent instructions",
"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_instructions",
"params": {}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 40
}
]
},
{
"key": "ai_verify_loop",
"band": "excellent",
"name": "Verify loop (build / test / typecheck)",
"note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"demonstrated_agent_practice"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 90,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"uv.lock"
],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [
"Makefile"
],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [
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],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "Makefile"
}
}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": null,
"points": 11,
"status": "met",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "mlforecast/py.typed",
"points": 11,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "mlforecast/py.typed"
}
}
],
"max_points": 11
},
{
"key": "reproducible_environment",
"name": "Reproducible environment",
"detail": "lockfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "lockfile"
}
}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "dependency automation configured, none observed in the sampled commits",
"points": 5,
"status": "partial",
"details": [
{
"code": "dependency_bot_config_only",
"params": {}
}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 4",
"points": 4,
"status": "partial",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "good",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 77,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 154837,
"source_files_sampled": 64,
"oversized_source_files": 6
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (mlforecast/py.typed)",
"points": 27,
"status": "partial",
"details": [
{
"code": "typecheck_config_language",
"params": {
"files": "mlforecast/py.typed",
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "6/64 source files over 60KB",
"points": 49.8,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 64,
"oversized": 6
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"notebooks"
],
"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "notebooks",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "notebooks"
}
}
],
"max_points": 40
}
]
}
],
"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": [],
"report_type": "repository",
"generated_at": "2026-07-21T04:07:38.283893Z",
"schema_version": "0.17.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/n/Nixtla/mlforecast.svg",
"full_name": "Nixtla/mlforecast",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}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 v0.17.0 — повна методологія · вікі метрик.
Як окремий результат виглядає на тлі всього реєстру: сукупна статистика — PyPI.