Публічний реєстрВідмінний
Звіт про здоров'я програмного забезпеченнясхема 0.12.0 · метрики 1.13.0 · 2026-07-18 13:16 UTC
pydantic / logfire
AI observability platform for production LLM and agent systems.
pydantic/logfire має індекс здоров’я 86 зі 100, що відповідає смузі «Відмінний». Найвищий показник — Vitality (99/100), найнижчий — Sustainability & Governance (77/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконують 2 учасники.
86
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.
86
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
PydanticОрганізація
2 891 підписник79 публічних репозиторіївз серп. 2022 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 |
|---|---|---|---|---|---|
| PyPI | logfire-api | 4.37.0 | 23 467 252 | 139 | 35 днів тому |
| PyPI | logfire | 4.37.0 | - | 186 | 35 днів тому |
Метрики за категоріями
Життєздатність
Чи живий проєкт — чи пишеться код і чи виходять релізи?
99
Активність розробки
99Відмінний
Як обчислюється оцінка
| 36/36 | Свіжість push — останній push 0 дн. тому |
| 35.3/36 | Ритм комітів — 51/52 тижнів із комітами |
| 18/18 | Обсяг комітів — 478 комітів за останній рік |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 4 issue activity found in the last 90 days -- score normalized to 10 |
Використані вхідні дані
| commits_last_year | 478 |
| human_commit_share | — |
| days_since_last_push | 0 |
| active_weeks_last_year | 51 |
Дисципліна релізів
100Відмінний
Як обчислюється оцінка
| 27/27 | Випускає релізи — опубліковано 100 релізів |
| 36/36 | Свіжість релізів — останній реліз 35 дн. тому |
| 27/27 | Ритм релізів — реліз кожні ~8,6 дн. |
| 0/10 | OpenSSF Scorecard: Signed-Releases — немає даних |
Використані вхідні дані
| releases_count | 100 |
| latest_release_tag | v4.37.0 |
| releases_from_tags | ні |
| days_since_latest_release | 35 |
| mean_days_between_releases | 8,6 |
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?
84
Популярність і впровадження
86Відмінний
Як обчислюється оцінка
| 59.1/60 | Зірки — 4 380 зірок |
| 20.2/25 | Форки — 264 форків |
| 6.8/15 | Спостерігачі — 18 спостерігачів |
Використані вхідні дані
| forks | 264 |
| stars | 4 380 |
| watchers | 18 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Здоров'я спільноти
70Добрий
Як обчислюється оцінка
| 22.5/22.5 | README |
| 22.5/22.5 | Ліцензія — визнана ліцензія (MIT) |
| 18/18 | Настанови CONTRIBUTING |
| 0/13.5 | Кодекс поведінки |
| 0/7.2 | Шаблон issue |
| 0/6.3 | Шаблон PR |
Використані вхідні дані
| has_readme | так |
| has_license | так |
| has_contributing | так |
| has_issue_template | ні |
| has_code_of_conduct | ні |
| has_pull_request_template | ні |
Впровадження в екосистемі (завантаження)
100Відмінний
Як обчислюється оцінка
| 80/80 | Щомісячні завантаження — 23 467 252 завантажень/місяць у pypi |
| 0/20 | Залежні пакети в реєстрі — ця екосистема цього не повідомляє |
Використані вхідні дані
| packages | logfire-api, logfire |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 23 467 252 |
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?
77
Стійкість мейнтейнерів (бас-фактор)
62Помірний
Як обчислюється оцінка
| 25.2/54 | Бас-фактор — на 2 контриб’ютор(ів) припадає половина всіх комітів |
| 13.4/22.5 | Розподіл комітів — головний контриб’ютор — автор 40% комітів |
| 13.5/13.5 | Широта контриб’юторів — 100 контриб’юторів |
| 10/10 | OpenSSF Scorecard: Contributors — project has 33 contributing companies or organizations |
Використані вхідні дані
| bus_factor | 2 |
| contributors_sampled | 100 |
| top_contributor_share | 0,405 |
Реактивність на issue та PR
78Добрий
Як обчислюється оцінка
| 32.4/46.8 | Вирішення issue — закрито 69% issue |
| 34.9/38.3 | Прийняття PR — злито 1 298/1 421 вирішених PR |
| 10.5/15 | OpenSSF Scorecard: Code-Review — Found 22/28 approved changesets -- score normalized to 7 |
Використані вхідні дані
| merged_prs | 1 298 |
| open_issues | 177 |
| closed_issues | 402 |
| issue_closed_ratio | 0,694 |
| closed_unmerged_prs | 123 |
Власність та опіка
76Добрий
Як обчислюється оцінка
| 30/30 | Підтримка власника — у власності організації |
| 0/20 | Верифікований домен |
| 24.9/25 | Охоплення власника — 2 891 підписників у pydantic |
| 20.9/25 | Послужний список — 79 публічних репозиторіїв, вік облікового запису ~3 р. |
Використані вхідні дані
| followers | 2 891 |
| owner_type | Organization |
| is_verified | — |
| owner_login | pydantic |
| public_repos | 79 |
| account_age_days | 1 440 |
Супровід пакетів
100Відмінний
Як обчислюється оцінка
| 25/25 | Опубліковано й доступно — 2 пакет(ів) у pypi |
| 35/35 | Свіжість публікацій — остання публікація 35 дн. тому |
| 20/20 | Історія версій — 186 опублікованих версій |
| 20/20 | Не застарілий — активний, не deprecated і не yanked |
Використані вхідні дані
| packages | logfire-api, logfire |
| ecosystems | pypi |
| any_deprecated | ні |
| min_days_since_publish | 35 |
Інженерна якість
Чи наявні базові інженерні практики та документація?
92
Інженерні практики
94Відмінний
Як обчислюється оцінка
| 24/24 | Процеси CI — 6 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://pydantic.dev/logfire/ |
| 10/10 | Опис репозиторію |
| 10/10 | Теми — 16 тем |
| 0/10 | Wiki |
Використані вхідні дані
| topics | fastapi, logging, observability, openai, opentelemetry, pydantic, python, trace, metrics, ai, ai-tools, pydantic-ai, agent-observability, ai-observability, evals, llm-observability |
| has_wiki | ні |
| homepage | https://pydantic.dev/logfire/ |
| 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?
79
Стан безпеки
79Добрий
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 — 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 |
| 5.2/7.5 | Code-Review — Found 22/28 approved changesets -- score normalized to 7 |
| 2.5/2.5 | Contributors — project has 33 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 4 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 5/5 | Pinned-Dependencies — all dependencies are pinned |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — немає даних |
| 6.8/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 4.5/7.5 | Vulnerabilities — 4 existing vulnerabilities detected |
Використані вхідні дані
| source | openssf_scorecard |
| checks_evaluated | 16 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 2 |
| scorecard_aggregate | 7,9 |
Виключено з оцінювання (немає даних або не застосовно): branch_protection, signed_releases. Залишкові ваги перенормовано.
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.
83
Контекст і настанови для агентів
75Добрий
Як обчислюється оцінка
| 45/45 | Інструкції для агентів — AGENTS.md, CLAUDE.md |
| 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 | AGENTS.md, CLAUDE.md |
| agent_instruction_max_bytes | 6 591 |
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 — logfire-api/logfire_api/py.typed, logfire/py.typed |
| 10/10 | Відтворюване середовище — lockfile |
| 0/10 | Підтверджена практика роботи з агентами — немає даних |
| 0/8 | Автоматизоване супроводження — немає даних |
| 10/10 | OpenSSF Scorecard: Pinned-Dependencies — all dependencies are pinned |
Використані вхідні дані
| has_nix | ні |
| has_tests | так |
| lockfiles | package-lock.json, uv.lock |
| has_dockerfile | ні |
| typed_language | ні |
| bootstrap_files | Makefile |
| has_devcontainer | ні |
| has_linter_config | так |
| typecheck_configs | logfire-api/logfire_api/py.typed, logfire/py.typed |
| agent_commit_share | — |
| toolchain_manifests | — |
| dependency_bot_commit_share | — |
Виключено з оцінювання (немає даних або не застосовно): Підтверджена практика роботи з агентами, Автоматизоване супроводження. Залишкові ваги перенормовано.
Читабельність коду для моделей
79Добрий
Як обчислюється оцінка
| 27/45 | Типізований код — Python з конфігурацією перевірки типів (logfire-api/logfire_api/py.typed, logfire/py.typed) |
| 51.8/55 | Керовані розміри файлів — 15/256 файлів вихідного коду понад 60 КБ |
Використані вхідні дані
| primary_language | Python |
| largest_source_bytes | 249 473 |
| source_files_sampled | 256 |
| oversized_source_files | 15 |
Машиночитні інтерфейси
60Помірний
Як обчислюється оцінка
| 0/40 | Схема API (OpenAPI/GraphQL/proto) |
| 20/20 | Сервер MCP |
| 40/40 | Придатні до запуску приклади — examples |
Використані вхідні дані
| example_dirs | examples |
| has_mcp_signal | так |
| api_schema_files | — |
Ключові факти
4 380зірок GitHub
100контриб'юторів
478комітів за останні 12 місяців
0днів від останнього пушу
100релізів
2бас-фактор
177відкритих issue
npm, PyPIпакетних екосистем
Попередження щодо збору даних
- Could not fetch npm package 'pyodide_test' from its registry
Докладніше
OpenSSF Scorecard 7.9 / 10
7.9сукупно
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 | 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 |
| 7 | Code-Review | Found 22/28 approved changesets -- score normalized to 7 |
| 10 | Contributors | project has 33 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 4 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 10 | Pinned-Dependencies | all dependencies are pinned |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 10 | Security-Policy | security policy file detected |
| н/д | Signed-Releases | no releases found |
| 9 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 6 | Vulnerabilities | 4 existing vulnerabilities detected |
Прямі залежності 9
| Реєстр | Пакет | Обмеження версії | Маніфест |
|---|---|---|---|
| npm | pyodide | ^0.29.3 | pyodide_test/package.json |
| PyPI | opentelemetry-sdk | >= 1.39.0, < 1.44.0 | pyproject.toml |
| PyPI | opentelemetry-exporter-otlp-proto-http | >= 1.39.0, < 1.44.0 | pyproject.toml |
| PyPI | opentelemetry-instrumentation | >= 0.41b0 | pyproject.toml |
| PyPI | rich | >= 13.4.2 | pyproject.toml |
| PyPI | protobuf | >= 4.23.4 | pyproject.toml |
| PyPI | typing-extensions | >= 4.1.0 | pyproject.toml |
| PyPI | tomli | >= 2.0.1 | pyproject.toml |
| PyPI | executing | >= 2.0.1 | pyproject.toml |
Усі залежності 274
Повний розв'язаний набір залежностей із графа залежностей GitHub: 9 прямих і 265 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
| Реєстр | Пакет | Версія | Зв'язок |
|---|---|---|---|
| npm | pyodide | 0.29.3 | пряма |
| PyPI | executing | 2.2.1 | пряма |
| PyPI | opentelemetry-exporter-otlp-proto-http | 1.43.0 | пряма |
| PyPI | opentelemetry-instrumentation | 0.64b0 | пряма |
| PyPI | opentelemetry-sdk | 1.43.0 | пряма |
| PyPI | protobuf | 7.35.1 | пряма |
| PyPI | rich | 15.0.0 | пряма |
| PyPI | tomli | 2.4.1 | пряма |
| PyPI | typing-extensions | 4.16.0 | пряма |
| npm | @types/emscripten | 1.41.5 | непряма |
| npm | ws | 8.21.0 | непряма |
| PyPI | aiofile | 3.11.1 | непряма |
| PyPI | aiofile | 3.9.0 | непряма |
| PyPI | aiohappyeyeballs | 2.7.1 | непряма |
| PyPI | aiohttp | 3.14.1 | непряма |
| PyPI | aiosignal | 1.4.0 | непряма |
| PyPI | aiosqlite | 0.21.0 | непряма |
| PyPI | amqp | 5.3.1 | непряма |
| PyPI | annotated-doc | 0.0.4 | непряма |
| PyPI | annotated-types | 0.7.0 | непряма |
| PyPI | anthropic | 0.116.0 | непряма |
| PyPI | anyio | 4.14.1 | непряма |
| PyPI | asgiref | 3.11.1 | непряма |
| PyPI | ast-serialize | 0.6.0 | непряма |
| PyPI | asttokens | 3.0.1 | непряма |
| PyPI | async-timeout | 5.0.1 | непряма |
| PyPI | asyncer | 0.0.8 | непряма |
| PyPI | asyncpg | 0.31.0 | непряма |
| PyPI | attrs | 26.1.0 | непряма |
| PyPI | authlib | 1.7.2 | непряма |
| PyPI | backports-asyncio-runner | 1.2.0 | непряма |
| PyPI | backports-tarfile | 1.2.0 | непряма |
| PyPI | beartype | 0.22.9 | непряма |
| PyPI | billiard | 4.2.4 | непряма |
| PyPI | black | 26.5.1 | непряма |
| PyPI | blinker | 1.9.0 | непряма |
| PyPI | boto3 | 1.43.40 | непряма |
| PyPI | botocore | 1.43.40 | непряма |
| PyPI | cachetools | 7.1.4 | непряма |
| PyPI | caio | 0.9.25 | непряма |
| PyPI | celery | 5.6.3 | непряма |
| PyPI | certifi | 2026.6.17 | непряма |
| PyPI | cffi | 2.0.0 | непряма |
| PyPI | cfgv | 3.5.0 | непряма |
| PyPI | charset-normalizer | 3.4.7 | непряма |
| PyPI | claude-agent-sdk | 0.2.110 | непряма |
| PyPI | click | 8.4.2 | непряма |
| PyPI | click-didyoumean | 0.3.1 | непряма |
| PyPI | click-plugins | 1.1.1.2 | непряма |
| PyPI | click-repl | 0.3.0 | непряма |
| PyPI | cloudpickle | 3.1.2 | непряма |
| PyPI | colorama | 0.4.6 | непряма |
| PyPI | coverage | 7.15.0 | непряма |
| PyPI | cryptography | 49.0.0 | непряма |
| PyPI | dirty-equals | 0.11 | непряма |
| PyPI | diskcache | 5.6.3 | непряма |
| PyPI | distlib | 0.4.3 | непряма |
| PyPI | distro | 1.9.0 | непряма |
| PyPI | django | 5.2.15 | непряма |
| PyPI | django | 6.0.6 | непряма |
| PyPI | dnspython | 2.8.0 | непряма |
| PyPI | docker | 7.1.0 | непряма |
| PyPI | docstring-parser | 0.18.0 | непряма |
| PyPI | dspy | 3.2.1 | непряма |
| PyPI | email-validator | 2.3.0 | непряма |
| PyPI | eval-type-backport | 0.4.0 | непряма |
| PyPI | exceptiongroup | 1.3.1 | непряма |
| PyPI | execnet | 2.1.2 | непряма |
| PyPI | fast-depends | 3.0.8 | непряма |
| PyPI | fastapi | 0.139.0 | непряма |
| PyPI | fastmcp-slim | 3.4.3 | непряма |
| PyPI | faststream | 0.7.1 | непряма |
| PyPI | fastuuid | 0.14.0 | непряма |
| PyPI | filelock | 3.29.5 | непряма |
| PyPI | flask | 3.1.3 | непряма |
| PyPI | frozenlist | 1.8.0 | непряма |
| PyPI | fsspec | 2026.6.0 | непряма |
| PyPI | genai-prices | 0.0.69 | непряма |
| PyPI | gepa | 0.0.27 | непряма |
| PyPI | google-auth | 2.55.1 | непряма |
| PyPI | google-genai | 2.10.0 | непряма |
| PyPI | googleapis-common-protos | 1.75.0 | непряма |
| PyPI | greenlet | 3.5.3 | непряма |
| PyPI | griffelib | 2.1.0 | непряма |
| PyPI | h11 | 0.16.0 | непряма |
| PyPI | hatchling | — | непряма |
| PyPI | hf-xet | 1.5.1 | непряма |
| PyPI | httpcore | 1.0.9 | непряма |
| PyPI | httpcore2 | 2.5.0 | непряма |
| PyPI | httpx | 0.28.1 | непряма |
| PyPI | httpx-sse | 0.4.3 | непряма |
| PyPI | httpx2 | 2.5.0 | непряма |
| PyPI | huggingface-hub | 1.22.0 | непряма |
| PyPI | identify | 2.6.19 | непряма |
| PyPI | idna | 3.18 | непряма |
| PyPI | importlib-metadata | 8.9.0 | непряма |
| PyPI | iniconfig | 2.3.0 | непряма |
| PyPI | inline-snapshot | 0.34.2 | непряма |
| PyPI | itsdangerous | 2.2.0 | непряма |
| PyPI | jaraco-classes | 3.4.0 | непряма |
| PyPI | jaraco-context | 6.1.2 | непряма |
| PyPI | jaraco-functools | 4.5.0 | непряма |
| PyPI | jeepney | 0.9.0 | непряма |
| PyPI | jinja2 | 3.1.6 | непряма |
| PyPI | jiter | 0.16.0 | непряма |
| PyPI | jmespath | 1.1.0 | непряма |
| PyPI | joserfc | 1.7.2 | непряма |
| PyPI | json-repair | 0.61.2 | непряма |
| PyPI | jsonpatch | 1.33 | непряма |
| PyPI | jsonpointer | 3.1.1 | непряма |
| PyPI | jsonschema | 4.26.0 | непряма |
| PyPI | jsonschema-specifications | 2025.9.1 | непряма |
| PyPI | keyring | 25.7.0 | непряма |
| PyPI | kombu | 5.6.2 | непряма |
| PyPI | langchain | 1.3.11 | непряма |
| PyPI | langchain-core | 1.4.8 | непряма |
| PyPI | langchain-openai | 1.3.3 | непряма |
| PyPI | langchain-protocol | 0.0.18 | непряма |
| PyPI | langgraph | 1.2.7 | непряма |
| PyPI | langgraph-checkpoint | 4.1.1 | непряма |
| PyPI | langgraph-prebuilt | 1.1.0 | непряма |
| PyPI | langgraph-sdk | 0.4.2 | непряма |
| PyPI | langsmith | 0.9.7 | непряма |
| PyPI | librt | 0.12.0 | непряма |
| PyPI | litellm | 1.91.0 | непряма |
| PyPI | logfire | 4.37.0 | непряма |
| PyPI | logfire-api | 4.37.0 | непряма |
| PyPI | loguru | 0.7.3 | непряма |
| PyPI | markdown-it-py | 4.2.0 | непряма |
| PyPI | markupsafe | 3.0.3 | непряма |
| PyPI | mcp | 1.28.1 | непряма |
| PyPI | mdurl | 0.1.2 | непряма |
| PyPI | more-itertools | 11.1.0 | непряма |
| PyPI | multidict | 6.7.1 | непряма |
| PyPI | mypy | 2.1.0 | непряма |
| PyPI | mypy-extensions | 1.1.0 | непряма |
| PyPI | mysql-connector-python | 9.7.0 | непряма |
| PyPI | nodeenv | 1.10.0 | непряма |
| PyPI | numpy | 2.2.6 | непряма |
| PyPI | numpy | 2.4.6 | непряма |
| PyPI | numpy | 2.5.1 | непряма |
| PyPI | openai | 2.44.0 | непряма |
| PyPI | openai-agents | 0.17.7 | непряма |
| PyPI | openinference-instrumentation | 0.1.54 | непряма |
| PyPI | openinference-instrumentation-dspy | 0.1.37 | непряма |
| PyPI | openinference-instrumentation-litellm | 0.1.34 | непряма |
| PyPI | openinference-semantic-conventions | 0.1.30 | непряма |
| PyPI | opentelemetry-api | 1.43.0 | непряма |
| PyPI | opentelemetry-exporter-otlp-proto-common | 1.43.0 | непряма |
| PyPI | opentelemetry-instrumentation-aiohttp-client | 0.64b0 | непряма |
| PyPI | opentelemetry-instrumentation-aiohttp-server | 0.64b0 | непряма |
| PyPI | opentelemetry-instrumentation-asgi | 0.64b0 | непряма |
| PyPI | opentelemetry-instrumentation-asyncpg | 0.64b0 | непряма |
| PyPI | opentelemetry-instrumentation-aws-lambda | 0.64b0 | непряма |
| PyPI | opentelemetry-instrumentation-celery | 0.64b0 | непряма |
| PyPI | opentelemetry-instrumentation-dbapi | 0.64b0 | непряма |
| PyPI | opentelemetry-instrumentation-django | 0.64b0 | непряма |
| PyPI | opentelemetry-instrumentation-fastapi | 0.64b0 | непряма |
| PyPI | opentelemetry-instrumentation-flask | 0.64b0 | непряма |
| PyPI | opentelemetry-instrumentation-google-genai | 0.7b1 | непряма |
| PyPI | opentelemetry-instrumentation-httpx | 0.64b0 | непряма |
| PyPI | opentelemetry-instrumentation-mysql | 0.64b0 | непряма |
| PyPI | opentelemetry-instrumentation-psycopg | 0.64b0 | непряма |
| PyPI | opentelemetry-instrumentation-psycopg2 | 0.64b0 | непряма |
| PyPI | opentelemetry-instrumentation-pymongo | 0.64b0 | непряма |
| PyPI | opentelemetry-instrumentation-redis | 0.64b0 | непряма |
| PyPI | opentelemetry-instrumentation-requests | 0.64b0 | непряма |
| PyPI | opentelemetry-instrumentation-sqlalchemy | 0.64b0 | непряма |
| PyPI | opentelemetry-instrumentation-sqlite3 | 0.64b0 | непряма |
| PyPI | opentelemetry-instrumentation-starlette | 0.64b0 | непряма |
| PyPI | opentelemetry-instrumentation-system-metrics | 0.64b0 | непряма |
| PyPI | opentelemetry-instrumentation-wsgi | 0.64b0 | непряма |
| PyPI | opentelemetry-propagator-aws-xray | 1.0.2 | непряма |
| PyPI | opentelemetry-proto | 1.43.0 | непряма |
| PyPI | opentelemetry-semantic-conventions | 0.64b0 | непряма |
| PyPI | opentelemetry-util-genai | 0.3b0 | непряма |
| PyPI | opentelemetry-util-http | 0.64b0 | непряма |
| PyPI | orjson | 3.11.9 | непряма |
| PyPI | ormsgpack | 1.12.2 | непряма |
| PyPI | packaging | 26.2 | непряма |
| PyPI | pandas | 2.3.3 | непряма |
| PyPI | pandas | 3.0.3 | непряма |
| PyPI | pathspec | 1.1.1 | непряма |
| PyPI | pip | 26.1.2 | непряма |
| PyPI | platformdirs | 4.10.0 | непряма |
| PyPI | pluggy | 1.6.0 | непряма |
| PyPI | pre-commit | 4.6.0 | непряма |
| PyPI | prompt-toolkit | 3.0.52 | непряма |
| PyPI | propcache | 0.5.2 | непряма |
| PyPI | psutil | 7.2.2 | непряма |
| PyPI | psycopg | 3.3.4 | непряма |
| PyPI | psycopg-binary | 3.3.4 | непряма |
| PyPI | psycopg2-binary | 2.9.12 | непряма |
| PyPI | py-key-value-aio | 0.4.5 | непряма |
| PyPI | pyarrow | 24.0.0 | непряма |
| PyPI | pyasn1 | 0.6.3 | непряма |
| PyPI | pyasn1-modules | 0.4.2 | непряма |
| PyPI | pycparser | 3.0 | непряма |
| PyPI | pydantic | 2.13.4 | непряма |
| PyPI | pydantic-ai-slim | 2.5.1 | непряма |
| PyPI | pydantic-core | 2.46.4 | непряма |
| PyPI | pydantic-evals | 2.5.1 | непряма |
| PyPI | pydantic-graph | 2.5.1 | непряма |
| PyPI | pydantic-handlebars | 0.2.1 | непряма |
| PyPI | pydantic-settings | 2.14.2 | непряма |
| PyPI | pygments | 2.20.0 | непряма |
| PyPI | pyjwt | 2.13.0 | непряма |
| PyPI | pymongo | 4.17.0 | непряма |
| PyPI | pymysql | 1.2.0 | непряма |
| PyPI | pyright | 1.1.411 | непряма |
| PyPI | pytest | 9.1.1 | непряма |
| PyPI | pytest-asyncio | 1.4.0 | непряма |
| PyPI | pytest-django | 4.12.0 | непряма |
| PyPI | pytest-examples | 0.0.18 | непряма |
| PyPI | pytest-pretty | 1.3.0 | непряма |
| PyPI | pytest-recording | 0.13.4 | непряма |
| PyPI | pytest-timeout | 2.4.0 | непряма |
| PyPI | pytest-xdist | 3.8.0 | непряма |
| PyPI | python-dateutil | 2.9.0.post0 | непряма |
| PyPI | python-discovery | 1.4.3 | непряма |
| PyPI | python-dotenv | 1.2.2 | непряма |
| PyPI | python-multipart | 0.0.32 | непряма |
| PyPI | pytokens | 0.4.1 | непряма |
| PyPI | pytz | 2026.2 | непряма |
| PyPI | pywin32 | 312 | непряма |
| PyPI | pywin32-ctypes | 0.2.3 | непряма |
| PyPI | pyyaml | 6.0.3 | непряма |
| PyPI | redis | 7.4.1 | непряма |
| PyPI | referencing | 0.37.0 | непряма |
| PyPI | regex | 2026.6.28 | непряма |
| PyPI | requests | 2.34.2 | непряма |
| PyPI | requests-mock | 1.12.1 | непряма |
| PyPI | requests-toolbelt | 1.0.0 | непряма |
| PyPI | rpds-py | 0.30.0 | непряма |
| PyPI | rpds-py | 2026.6.3 | непряма |
| PyPI | ruff | 0.15.20 | непряма |
| PyPI | s3transfer | 0.19.0 | непряма |
| PyPI | secretstorage | 3.5.0 | непряма |
| PyPI | setuptools | 83.0.0 | непряма |
| PyPI | six | 1.17.0 | непряма |
| PyPI | sniffio | 1.3.1 | непряма |
| PyPI | sqlalchemy | 2.0.51 | непряма |
| PyPI | sqlmodel | 0.0.39 | непряма |
| PyPI | sqlparse | 0.5.5 | непряма |
| PyPI | sse-starlette | 3.4.5 | непряма |
| PyPI | starlette | 1.3.1 | непряма |
| PyPI | structlog | 26.1.0 | непряма |
| PyPI | surrealdb | 2.0.0 | непряма |
| PyPI | tenacity | 9.1.4 | непряма |
| PyPI | testcontainers | 4.12.0 | непряма |
| PyPI | tiktoken | 0.13.0 | непряма |
| PyPI | tokenizers | 0.23.1 | непряма |
| PyPI | tqdm | 4.68.3 | непряма |
| PyPI | truststore | 0.10.4 | непряма |
| PyPI | typeguard | 4.4.3 | непряма |
| PyPI | types-requests | 2.33.0.20260518 | непряма |
| PyPI | typing-inspection | 0.4.2 | непряма |
| PyPI | tzdata | 2026.2 | непряма |
| PyPI | tzlocal | 5.4.4 | непряма |
| PyPI | urllib3 | 2.7.0 | непряма |
| PyPI | uuid-utils | 0.16.2 | непряма |
| PyPI | uvicorn | 0.50.2 | непряма |
| PyPI | vcrpy | 8.3.0 | непряма |
| PyPI | vine | 5.1.0 | непряма |
| PyPI | virtualenv | 21.5.2 | непряма |
| PyPI | wcwidth | 0.8.2 | непряма |
| PyPI | websockets | 15.0.1 | непряма |
| PyPI | werkzeug | 3.1.8 | непряма |
| PyPI | win32-setctime | 1.2.0 | непряма |
| PyPI | wrapt | 2.2.2 | непряма |
| PyPI | xxhash | 3.8.1 | непряма |
| PyPI | yarl | 1.24.2 | непряма |
| PyPI | zipp | 4.1.0 | непряма |
| PyPI | zstandard | 0.25.0 | непряма |
Звіт у форматі JSON машиночитний
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"detail": "478 commits in the last year",
"points": 18,
"status": "met",
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"count": 478
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}
],
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{
"key": "openssf_scorecard_maintained",
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"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "release_discipline",
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"notes": [
{
"code": "excluded_no_data",
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"components": [
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},
{
"code": "weights_renormalized",
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}
],
"value": 100,
"inputs": {
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"latest_release_tag": "v4.37.0",
"releases_from_tags": false,
"days_since_latest_release": 35,
"mean_days_between_releases": 8.6
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"components": [
{
"key": "ships_releases",
"name": "Ships releases",
"detail": "100 releases published",
"points": 27,
"status": "met",
"details": [
{
"code": "releases_published",
"params": {
"count": 100
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}
],
"max_points": 27
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{
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"detail": "latest release 35 days ago",
"points": 36,
"status": "met",
"details": [
{
"code": "release_recency",
"params": {
"days": 35
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}
],
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},
{
"key": "release_cadence",
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"details": [
{
"code": "release_cadence",
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"gap": 8.6
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}
],
"max_points": 27
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{
"key": "openssf_scorecard_signed_releases",
"name": "OpenSSF Scorecard: Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
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"code": "no_data",
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],
"max_points": 10
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]
},
{
"key": "abandonment",
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"name": "Abandonment",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"cap": null,
"state": "unverified",
"guards": [],
"signals": [],
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"multiplier_pct": 100,
"declared_reason": null,
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"components": [
{
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"points": 100,
"status": "met",
"details": [
{
"code": "abandonment_unverified",
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}
],
"max_points": 100
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]
}
],
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},
{
"key": "community",
"band": "good",
"name": "Community & Adoption",
"value": 84,
"weight": 0.18,
"metrics": [
{
"key": "popularity",
"band": "excellent",
"name": "Popularity & adoption",
"note": null,
"notes": [],
"value": 86,
"inputs": {
"forks": 264,
"stars": 4380,
"watchers": 18,
"growth_state": "unverified",
"growth_factor_pct": 100,
"growth_unverified_reason": "no_history"
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"components": [
{
"key": "stars",
"name": "Stars",
"detail": "4,380 stars",
"points": 59.1,
"status": "partial",
"details": [
{
"code": "stars",
"params": {
"count": 4380
}
}
],
"max_points": 60
},
{
"key": "forks",
"name": "Forks",
"detail": "264 forks",
"points": 20.2,
"status": "partial",
"details": [
{
"code": "forks",
"params": {
"count": 264
}
}
],
"max_points": 25
},
{
"key": "watchers",
"name": "Watchers",
"detail": "18 watchers",
"points": 6.8,
"status": "partial",
"details": [
{
"code": "watchers",
"params": {
"count": 18
}
}
],
"max_points": 15
}
]
},
{
"key": "community_health",
"band": "good",
"name": "Community health",
"note": null,
"notes": [],
"value": 70,
"inputs": {
"has_readme": true,
"has_license": true,
"has_contributing": true,
"has_issue_template": false,
"has_code_of_conduct": false,
"has_pull_request_template": false
},
"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": 18,
"status": "met",
"details": [],
"max_points": 18
},
{
"key": "code_of_conduct",
"name": "Code of conduct",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 13.5
},
{
"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": 0,
"status": "missed",
"details": [],
"max_points": 6.3
}
]
},
{
"key": "ecosystem_adoption",
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"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
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}
],
"value": 100,
"inputs": {
"packages": [
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"logfire"
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"dependents": null,
"ecosystems": "pypi",
"total_downloads": null,
"monthly_downloads": 23467252
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"components": [
{
"key": "monthly_downloads",
"name": "Monthly downloads",
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"points": 80,
"status": "met",
"details": [
{
"code": "downloads_monthly",
"params": {
"count": 23467252,
"ecosystems": "pypi"
}
}
],
"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",
"params": {}
}
],
"max_points": 20
}
]
}
],
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},
{
"key": "governance",
"band": "good",
"name": "Sustainability & Governance",
"value": 77,
"weight": 0.24,
"metrics": [
{
"key": "maintainer_resilience",
"band": "moderate",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
"value": 62,
"inputs": {
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"contributors_sampled": 100,
"top_contributor_share": 0.405
},
"components": [
{
"key": "bus_factor",
"name": "Bus factor",
"detail": "2 contributor(s) cover half of all commits",
"points": 25.2,
"status": "partial",
"details": [
{
"code": "bus_factor",
"params": {
"count": 2
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}
],
"max_points": 54
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{
"key": "commit_distribution",
"name": "Commit distribution",
"detail": "top contributor authored 40% of commits",
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"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 40
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}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "100 contributors",
"points": 13.5,
"status": "met",
"details": [
{
"code": "contributors_sampled",
"params": {
"count": 100
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}
],
"max_points": 13.5
},
{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "project has 33 contributing companies or organizations",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "good",
"name": "Issue & PR responsiveness",
"note": null,
"notes": [],
"value": 78,
"inputs": {
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"open_issues": 177,
"closed_issues": 402,
"issue_closed_ratio": 0.694,
"closed_unmerged_prs": 123
},
"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "69% of issues closed",
"points": 32.4,
"status": "partial",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 69
}
}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "1298/1421 decided PRs merged",
"points": 34.9,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
"params": {
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"decided": 1421
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}
],
"max_points": 38.25
},
{
"key": "openssf_scorecard_code_review",
"name": "OpenSSF Scorecard: Code-Review",
"detail": "Found 22/28 approved changesets -- score normalized to 7",
"points": 10.5,
"status": "partial",
"details": [],
"max_points": 15
}
]
},
{
"key": "stewardship",
"band": "good",
"name": "Ownership & stewardship",
"note": null,
"notes": [],
"value": 76,
"inputs": {
"followers": 2891,
"owner_type": "Organization",
"is_verified": null,
"owner_login": "pydantic",
"public_repos": 79,
"account_age_days": 1440
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"components": [
{
"key": "ownership_backing",
"name": "Ownership backing",
"detail": "organization-owned",
"points": 30,
"status": "met",
"details": [
{
"code": "owner_organization",
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}
],
"max_points": 30
},
{
"key": "verified_domain",
"name": "Verified domain",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "owner_reach",
"name": "Owner reach",
"detail": "2,891 followers of pydantic",
"points": 24.9,
"status": "partial",
"details": [
{
"code": "owner_followers",
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"count": 2891,
"login": "pydantic"
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}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "79 public repos, account ~3 yr old",
"points": 20.9,
"status": "partial",
"details": [
{
"code": "public_repos",
"params": {
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},
{
"code": "account_age_years",
"params": {
"years": 3
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}
],
"max_points": 25
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]
},
{
"key": "package_maintenance",
"band": "excellent",
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"note": null,
"notes": [],
"value": 100,
"inputs": {
"packages": [
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"logfire"
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"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 35
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"components": [
{
"key": "published_resolvable",
"name": "Published & resolvable",
"detail": "2 package(s) on pypi",
"points": 25,
"status": "met",
"details": [
{
"code": "packages_published",
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"ecosystems": "pypi"
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}
],
"max_points": 25
},
{
"key": "publish_recency",
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"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
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"days": 35
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}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "186 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 186
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}
],
"max_points": 20
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{
"key": "not_deprecated",
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"points": 20,
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"details": [
{
"code": "package_not_deprecated",
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}
],
"max_points": 20
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]
}
],
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},
{
"key": "engineering",
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"name": "Engineering Quality",
"value": 92,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "excellent",
"name": "Engineering practices",
"note": null,
"notes": [],
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"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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"key": "ci_workflows",
"name": "CI workflows",
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"details": [
{
"code": "ci_workflows",
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}
],
"max_points": 24
},
{
"key": "tests_present",
"name": "Tests present",
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"points": 24,
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"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
"detail": null,
"points": 16,
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"details": [],
"max_points": 16
},
{
"key": "pre_commit_hooks",
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"points": 9.6,
"status": "met",
"details": [],
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},
{
"key": "editorconfig",
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"points": 0,
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"details": [],
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{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
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"details": [],
"max_points": 20
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]
},
{
"key": "documentation",
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"name": "Documentation",
"note": null,
"notes": [],
"value": 90,
"inputs": {
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"trace",
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"components": [
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{
"key": "documentation_directory",
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{
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{
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"details": [],
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{
"key": "topics",
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"status": "met",
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"code": "topics_count",
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}
],
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{
"key": "wiki",
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"points": 0,
"status": "missed",
"details": [],
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]
}
],
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{
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"name": "Security",
"value": 79,
"weight": 0.16,
"metrics": [
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"key": "security_posture",
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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": 79,
"inputs": {
"source": "openssf_scorecard",
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"scorecard_version": "v5.5.0",
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"components": [
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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",
"detail": "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",
"points": 0,
"status": "excluded",
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"code": "no_data",
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],
"max_points": 7.5
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{
"key": "ci_tests",
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"status": "met",
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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",
"details": [],
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},
{
"key": "code_review",
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"points": 5.2,
"status": "partial",
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},
{
"key": "contributors",
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"detail": "project has 33 contributing companies or organizations",
"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": [],
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},
{
"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 4 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": "all dependencies are pinned",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "sast",
"name": "SAST",
"detail": "SAST tool is not run on all commits -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file detected",
"points": 5,
"status": "met",
"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": 6.8,
"status": "partial",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "4 existing vulnerabilities detected",
"points": 4.5,
"status": "partial",
"details": [],
"max_points": 7.5
}
]
},
{
"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": [
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"Iran",
"North Korea"
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"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": "good",
"name": "AI Readiness",
"value": 83,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "good",
"name": "Agent context & guidance",
"note": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
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]
}
},
{
"code": "weights_renormalized",
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}
],
"value": 75,
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],
"agent_instruction_max_bytes": 6591
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"details": [
{
"code": "file_list",
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}
}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
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"status": "missed",
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},
{
"key": "legible_commit_history",
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"status": "excluded",
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"code": "no_data",
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}
]
},
{
"key": "ai_verify_loop",
"band": "excellent",
"name": "Verify loop (build / test / typecheck)",
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"code": "excluded_no_data",
"params": {
"components": [
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]
}
},
{
"code": "weights_renormalized",
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}
],
"value": 100,
"inputs": {
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"has_tests": true,
"lockfiles": [
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"key": "automated_tests",
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},
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"details": [
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}
],
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{
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"code": "file_list",
"params": {
"files": "lockfile"
}
}
],
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},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
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"details": [
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"code": "no_data",
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}
],
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},
{
"key": "automated_maintenance",
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}
],
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},
{
"key": "openssf_scorecard_pinned_dependencies",
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}
]
},
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"key": "ai_code_legibility",
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"inputs": {
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"source_files_sampled": 256,
"oversized_source_files": 15
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python with type-check config (logfire-api/logfire_api/py.typed, logfire/py.typed)",
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"status": "partial",
"details": [
{
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}
}
],
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},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "15/256 source files over 60KB",
"points": 51.8,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
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"oversized": 15
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "moderate",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 60,
"inputs": {
"example_dirs": [
"examples"
],
"has_mcp_signal": true,
"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": 20,
"status": "met",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "examples",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples"
}
}
],
"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": [
"Could not fetch npm package 'pyodide_test' from its registry"
],
"report_type": "repository",
"generated_at": "2026-07-18T13:16:33.965349Z",
"schema_version": "0.12.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/p/pydantic/logfire.svg",
"full_name": "pydantic/logfire",
"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 v0.12.0 — повна методологія · вікі метрик.
Як окремий результат виглядає на тлі всього реєстру: сукупна статистика — PyPI.