Публічний реєстрВідмінний
Звіт про здоров'я програмного забезпеченнясхема 0.16.0 · метрики 1.13.0 · 2026-07-21 01:14 UTC
stanfordnlp / dspy
DSPy: The framework for programming—not prompting—language models
stanfordnlp/dspy має індекс здоров’я 87 зі 100, що відповідає смузі «Відмінний». Найвищий показник — Vitality (99/100), найнижчий — AI Readiness (42/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконують 4 учасники.
87
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.
87
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
Stanford NLPОрганізація
2 683 підписники55 публічних репозиторіївз груд. 2012 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 | dspy | 3.2.1 | - | 106 | 76 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 — 490 комітів за останній рік |
| 10/10 | OpenSSF Scorecard: Maintained — 30 commit(s) and 3 issue activity found in the last 90 days -- score normalized to 10 |
Використані вхідні дані
| commits_last_year | 490 |
| 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 54 дн. тому |
| 27/27 | Ритм релізів — реліз кожні ~24,2 дн. |
| 0/10 | OpenSSF Scorecard: Signed-Releases — немає даних |
Використані вхідні дані
| releases_count | 100 |
| latest_release_tag | 3.3.0b1 |
| releases_from_tags | ні |
| days_since_latest_release | 54 |
| mean_days_between_releases | 24,2 |
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
98Відмінний
Як обчислюється оцінка
| 60/60 | Зірки — 36 262 зірок |
| 25/25 | Форки — 3 117 форків |
| 12.8/15 | Спостерігачі — 202 спостерігачів |
Використані вхідні дані
| forks | 3 117 |
| stars | 36 262 |
| watchers | 202 |
| 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 |
Сталість та врядування
Чи переживе проєкт своїх людей — бас-фактор, реактивність, хто за ним стоїть і як супроводжуються пакети?
82
Як обчислюється оцінка
| 43.2/54 | Бас-фактор — на 4 контриб’ютор(ів) припадає половина всіх комітів |
| 16.1/22.5 | Розподіл комітів — головний контриб’ютор — автор 28% комітів |
| 13.5/13.5 | Широта контриб’юторів — 100 контриб’юторів |
| 10/10 | OpenSSF Scorecard: Contributors — project has 22 contributing companies or organizations |
Використані вхідні дані
| bus_factor | 4 |
| contributors_sampled | 100 |
| top_contributor_share | 0,285 |
Реактивність на issue та PR
70Добрий
Як обчислюється оцінка
| 38/46.8 | Вирішення issue — закрито 81% issue |
| 27/38.3 | Прийняття PR — злито 1 649/2 337 вирішених PR |
| 4.5/15 | OpenSSF Scorecard: Code-Review — Found 10/26 approved changesets -- score normalized to 3 |
Використані вхідні дані
| merged_prs | 1 649 |
| open_issues | 307 |
| closed_issues | 1 331 |
| issue_closed_ratio | 0,813 |
| closed_unmerged_prs | 688 |
Власність та опіка
79Добрий
Як обчислюється оцінка
| 30/30 | Підтримка власника — у власності організації |
| 0/20 | Верифікований домен |
| 24.7/25 | Охоплення власника — 2 683 підписників у stanfordnlp |
| 24.7/25 | Послужний список — 55 публічних репозиторіїв, вік облікового запису ~13 р. |
Використані вхідні дані
| followers | 2 683 |
| owner_type | Organization |
| is_verified | — |
| owner_login | stanfordnlp |
| public_repos | 55 |
| account_age_days | 4 966 |
Супровід пакетів
100Відмінний
Як обчислюється оцінка
| 25/25 | Опубліковано й доступно — 1 пакет(ів) у pypi |
| 35/35 | Свіжість публікацій — остання публікація 76 дн. тому |
| 20/20 | Історія версій — 106 опублікованих версій |
| 20/20 | Не застарілий — активний, не deprecated і не yanked |
Використані вхідні дані
| packages | dspy |
| ecosystems | pypi |
| any_deprecated | ні |
| min_days_since_publish | 76 |
Інженерна якість
Чи наявні базові інженерні практики та документація?
92
Інженерні практики
94Відмінний
Як обчислюється оцінка
| 24/24 | Процеси CI — 5 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://dspy.ai |
| 10/10 | Опис репозиторію |
| 0/10 | Теми |
| 10/10 | Wiki |
Використані вхідні дані
| topics | — |
| has_wiki | так |
| homepage | https://dspy.ai |
| 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?
73
Стан безпеки
69Помірний
Як обчислюється оцінка
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — branch protection not enabled on development/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 |
| 2.2/7.5 | Code-Review — Found 10/26 approved changesets -- score normalized to 3 |
| 2.5/2.5 | Contributors — project has 22 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 3 issue activity found in the last 90 days -- score normalized to 10 |
| 5/5 | Packaging — packaging workflow detected |
| 3.5/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7 |
| 4.5/5 | SAST — SAST tool is not run on all commits -- score normalized to 9 |
| 5/5 | Security-Policy — security policy file detected |
| 0/7.5 | Signed-Releases — немає даних |
| 7.5/7.5 | Token-Permissions — GitHub workflow tokens follow principle of least privilege |
| 0/7.5 | Vulnerabilities — 147 existing vulnerabilities detected |
Використані вхідні дані
| source | openssf_scorecard |
| checks_evaluated | 17 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 1 |
| scorecard_aggregate | 6,9 |
Виключено з оцінювання (немає даних або не застосовно): signed_releases. Залишкові ваги перенормовано.
Сповіщення про залежності
89Відмінний
Як обчислюється оцінка
| 26.6/35 | Прямі залежності без відомих сповіщень — уражено 1: diskcache 5.6.3 (moderate) |
| 25/25 | Непрямі залежності без відомих сповіщень — жодна непряма залежність не має відомих сповіщень |
| 37.2/40 | Немає задавнених сповіщень — 1 пакет(ів) зі сповіщеннями без реакції понад 90 дн.; найдавніше опубліковано 159 дн. тому |
Використані вхідні дані
| source | osv |
| advisories | 2 |
| affected_packages | 1 |
| assessed_packages | 59 |
| unassessed_packages | 0 |
| affected_by_severity | moderate 1 |
| direct_affected_packages | 1 |
Звірено з runtime-замиканням залежностей pypi:dspy@3.2.1 — тим, що тягне за собою встановлення опублікованого пакета, — 59 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.
42
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
| 0/18 | Розгортання однією командою |
| 22/22 | Автоматизовані тести |
| 11/11 | Конфігурація лінтера / форматера |
| 0/11 | Статична перевірка типів |
| 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 |
| 7/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 7 |
Використані вхідні дані
| has_nix | ні |
| has_tests | так |
| lockfiles | Pipfile.lock, uv.lock |
| has_dockerfile | ні |
| typed_language | ні |
| bootstrap_files | — |
| has_devcontainer | ні |
| has_linter_config | так |
| typecheck_configs | — |
| 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
54Помірний
Як обчислюється оцінка
| 0/45 | Типізований код — Python без конфігурації перевірки типів |
| 53.5/55 | Керовані розміри файлів — 7/261 файлів вихідного коду понад 60 КБ |
Використані вхідні дані
| primary_language | Python |
| largest_source_bytes | 114 651 |
| source_files_sampled | 261 |
| oversized_source_files | 7 |
Машиночитні інтерфейси
60Помірний
Як обчислюється оцінка
| 0/40 | Схема API (OpenAPI/GraphQL/proto) |
| 20/20 | Сервер MCP |
| 40/40 | Придатні до запуску приклади — examples, notebooks |
Використані вхідні дані
| example_dirs | examples, notebooks |
| has_mcp_signal | так |
| api_schema_files | — |
Ключові факти
36 262зірок GitHub
100контриб'юторів
490комітів за останні 12 місяців
0днів від останнього пушу
100релізів
4бас-фактор
307відкритих issue
PyPIпакетних екосистем
Докладніше
OpenSSF Scorecard 6.9 / 10
6.9сукупно
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 |
| 0 | Branch-Protection | branch protection not enabled on development/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 |
| 3 | Code-Review | Found 10/26 approved changesets -- score normalized to 3 |
| 10 | Contributors | project has 22 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 3 issue activity found in the last 90 days -- score normalized to 10 |
| 10 | Packaging | packaging workflow detected |
| 7 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 7 |
| 9 | SAST | SAST tool is not run on all commits -- score normalized to 9 |
| 10 | Security-Policy | security policy file detected |
| н/д | Signed-Releases | no releases found |
| 10 | Token-Permissions | GitHub workflow tokens follow principle of least privilege |
| 0 | Vulnerabilities | 147 existing vulnerabilities detected |
Прямі залежності 14
| Реєстр | Пакет | Обмеження версії | Маніфест |
|---|---|---|---|
| PyPI | openai | >=1.66.2 | pyproject.toml |
| PyPI | regex | >=2023.10.3 | pyproject.toml |
| PyPI | orjson | >=3.9.0 | pyproject.toml |
| PyPI | tqdm | >=4.66.1 | pyproject.toml |
| PyPI | requests | >=2.31.0 | pyproject.toml |
| PyPI | pydantic | >=2.0 | pyproject.toml |
| PyPI | litellm | >=1.65.8 | pyproject.toml |
| PyPI | diskcache | >=5.6.0 | pyproject.toml |
| PyPI | json-repair | >=0.54.2 | pyproject.toml |
| PyPI | tenacity | >=8.2.3 | pyproject.toml |
| PyPI | anyio | — | pyproject.toml |
| PyPI | cachetools | >=5.5.0 | pyproject.toml |
| PyPI | cloudpickle | >=3.1.2 | pyproject.toml |
| PyPI | gepa | ==0.1.1 | pyproject.toml |
Усі залежності 293
Повний розв'язаний набір залежностей із графа залежностей GitHub: 26 прямих і 267 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
| Реєстр | Пакет | Версія | Зв'язок |
|---|---|---|---|
| PyPI | anyio | 4.13.0 | пряма |
| PyPI | anyio | 4.9.0 | пряма |
| PyPI | cachetools | 5.5.2 | пряма |
| PyPI | cachetools | 7.1.1 | пряма |
| PyPI | cloudpickle | 3.1.1 | пряма |
| PyPI | cloudpickle | 3.1.2 | пряма |
| PyPI | diskcache | 5.6.3 | пряма |
| PyPI | gepa | 0.1.1 | пряма |
| PyPI | json-repair | 0.40.0 | пряма |
| PyPI | json-repair | 0.54.2 | пряма |
| PyPI | litellm | 1.63.7 | пряма |
| PyPI | litellm | 1.68.0 | пряма |
| PyPI | litellm | 1.72.6 | пряма |
| PyPI | openai | 1.61.0 | пряма |
| PyPI | openai | 1.75.0 | пряма |
| PyPI | openai | 1.88.0 | пряма |
| PyPI | orjson | 3.11.8 | пряма |
| PyPI | pydantic | 2.10.6 | пряма |
| PyPI | pydantic | 2.12.4 | пряма |
| PyPI | regex | 2024.11.6 | пряма |
| PyPI | regex | 2026.5.9 | пряма |
| PyPI | requests | 2.33.1 | пряма |
| PyPI | tenacity | 9.0.0 | пряма |
| PyPI | tenacity | 9.1.4 | пряма |
| PyPI | tqdm | 4.67.1 | пряма |
| PyPI | tqdm | 4.67.3 | пряма |
| PyPI | aiohappyeyeballs | 2.6.1 | непряма |
| PyPI | aiohttp | 3.11.14 | непряма |
| PyPI | aiohttp | 3.13.2 | непряма |
| PyPI | aiosignal | 1.3.2 | непряма |
| PyPI | aiosignal | 1.4.0 | непряма |
| PyPI | alembic | 1.15.1 | непряма |
| PyPI | alembic | 1.16.2 | непряма |
| PyPI | annotated-types | 0.7.0 | непряма |
| PyPI | anthropic | 0.102.0 | непряма |
| PyPI | apscheduler | 3.11.0 | непряма |
| PyPI | argcomplete | 3.6.2 | непряма |
| PyPI | asttokens | 3.0.1 | непряма |
| PyPI | async-timeout | 5.0.1 | непряма |
| PyPI | asyncer | 0.0.8 | непряма |
| PyPI | attrs | 25.3.0 | непряма |
| PyPI | attrs | 26.1.0 | непряма |
| PyPI | authlib | 1.6.12 | непряма |
| PyPI | authlib | 1.7.2 | непряма |
| PyPI | babel | 2.18.0 | непряма |
| PyPI | backoff | 2.2.1 | непряма |
| PyPI | backports-asyncio-runner | 1.2.0 | непряма |
| PyPI | backrefs | 7.0 | непряма |
| PyPI | beautifulsoup4 | 4.14.3 | непряма |
| PyPI | black | 25.1.0 | непряма |
| PyPI | bleach | 6.3.0 | непряма |
| PyPI | boto3 | 1.34.34 | непряма |
| PyPI | botocore | 1.34.162 | непряма |
| PyPI | build | 1.2.2.post1 | непряма |
| PyPI | cairocffi | 1.7.1 | непряма |
| PyPI | cairosvg | 2.9.0 | непряма |
| PyPI | certifi | 2025.6.15 | непряма |
| PyPI | certifi | 2026.4.22 | непряма |
| PyPI | cffi | 1.17.1 | непряма |
| PyPI | cffi | 2.0.0 | непряма |
| PyPI | cfgv | 3.4.0 | непряма |
| PyPI | charset-normalizer | 3.4.2 | непряма |
| PyPI | charset-normalizer | 3.4.7 | непряма |
| PyPI | click | 8.2.1 | непряма |
| PyPI | click | 8.3.3 | непряма |
| PyPI | colorama | 0.4.6 | непряма |
| PyPI | colorlog | 6.9.0 | непряма |
| PyPI | comm | 0.2.3 | непряма |
| PyPI | cryptography | 43.0.3 | непряма |
| PyPI | cryptography | 45.0.4 | непряма |
| PyPI | cssselect2 | 0.9.0 | непряма |
| PyPI | datamodel-code-generator | 0.56.1 | непряма |
| PyPI | datasets | 3.4.1 | непряма |
| PyPI | datasets | 3.6.0 | непряма |
| PyPI | debugpy | 1.8.20 | непряма |
| PyPI | decorator | 5.2.1 | непряма |
| PyPI | defusedxml | 0.7.1 | непряма |
| PyPI | dill | 0.3.8 | непряма |
| PyPI | distlib | 0.3.9 | непряма |
| PyPI | distro | 1.9.0 | непряма |
| PyPI | dnspython | 2.7.0 | непряма |
| PyPI | docstring-parser | 0.17.0 | непряма |
| PyPI | dspy | — | непряма |
| PyPI | dspy | 3.2.1 | непряма |
| PyPI | email-validator | 2.2.0 | непряма |
| PyPI | exceptiongroup | 1.3.0 | непряма |
| PyPI | executing | 2.2.1 | непряма |
| PyPI | fastapi | 0.115.13 | непряма |
| PyPI | fastapi-sso | 0.16.0 | непряма |
| PyPI | fastjsonschema | 2.21.2 | непряма |
| PyPI | filelock | 3.18.0 | непряма |
| PyPI | frozenlist | 1.5.0 | непряма |
| PyPI | frozenlist | 1.7.0 | непряма |
| PyPI | fsspec | 2024.12.0 | непряма |
| PyPI | fsspec | 2025.3.0 | непряма |
| PyPI | genson | 1.3.0 | непряма |
| PyPI | ghp-import | 2.1.0 | непряма |
| PyPI | greenlet | 3.1.1 | непряма |
| PyPI | greenlet | 3.2.3 | непряма |
| PyPI | griffe | 1.6.2 | непряма |
| PyPI | griffelib | 2.0.2 | непряма |
| PyPI | grpcio | 1.73.0 | непряма |
| PyPI | gunicorn | 23.0.0 | непряма |
| PyPI | h11 | 0.14.0 | непряма |
| PyPI | h11 | 0.16.0 | непряма |
| PyPI | hf-xet | 1.1.4 | непряма |
| PyPI | httpcore | 1.0.7 | непряма |
| PyPI | httpcore | 1.0.9 | непряма |
| PyPI | httpx | 0.27.0 | непряма |
| PyPI | httpx | 0.28.1 | непряма |
| PyPI | httpx-sse | 0.4.0 | непряма |
| PyPI | huggingface-hub | 0.29.3 | непряма |
| PyPI | huggingface-hub | 0.33.0 | непряма |
| PyPI | identify | 2.6.12 | непряма |
| PyPI | idna | 3.10 | непряма |
| PyPI | idna | 3.13 | непряма |
| PyPI | importlib-metadata | 8.6.1 | непряма |
| PyPI | importlib-metadata | 8.7.0 | непряма |
| PyPI | inflect | 7.5.0 | непряма |
| PyPI | iniconfig | 2.1.0 | непряма |
| PyPI | ipykernel | 7.2.0 | непряма |
| PyPI | ipython | 9.13.0 | непряма |
| PyPI | ipython-pygments-lexers | 1.1.1 | непряма |
| PyPI | isort | 6.0.1 | непряма |
| PyPI | jedi | 0.19.2 | непряма |
| PyPI | jinja2 | 3.1.6 | непряма |
| PyPI | jiter | 0.10.0 | непряма |
| PyPI | jiter | 0.9.0 | непряма |
| PyPI | jmespath | 1.0.1 | непряма |
| PyPI | joblib | 1.4.2 | непряма |
| PyPI | joserfc | 1.6.5 | непряма |
| PyPI | jsonpatch | 1.33 | непряма |
| PyPI | jsonpointer | 3.0.0 | непряма |
| PyPI | jsonschema | 4.23.0 | непряма |
| PyPI | jsonschema | 4.24.0 | непряма |
| PyPI | jsonschema-specifications | 2025.4.1 | непряма |
| PyPI | jsonschema-specifications | 2025.9.1 | непряма |
| PyPI | jupyter-client | 8.8.0 | непряма |
| PyPI | jupyter-core | 5.9.1 | непряма |
| PyPI | jupyterlab-pygments | 0.3.0 | непряма |
| PyPI | jupytext | 1.19.1 | непряма |
| PyPI | langchain-core | 1.0.4 | непряма |
| PyPI | langsmith | 0.4.42 | непряма |
| PyPI | litellm-proxy-extras | 0.1.15 | непряма |
| PyPI | magicattr | 0.1.6 | непряма |
| PyPI | mako | 1.3.10 | непряма |
| PyPI | mako | 1.3.9 | непряма |
| PyPI | markdown | 3.10.2 | непряма |
| PyPI | markdown-it-py | 4.0.0 | непряма |
| PyPI | markupsafe | 3.0.2 | непряма |
| PyPI | markupsafe | 3.0.3 | непряма |
| PyPI | matplotlib-inline | 0.2.1 | непряма |
| PyPI | mcp | 1.5.0 | непряма |
| PyPI | mcp | 1.9.4 | непряма |
| PyPI | mdit-py-plugins | 0.5.0 | непряма |
| PyPI | mdurl | 0.1.2 | непряма |
| PyPI | mergedeep | 1.3.4 | непряма |
| PyPI | mistune | 3.2.1 | непряма |
| PyPI | mkdocs | 1.6.1 | непряма |
| PyPI | mkdocs-autorefs | 1.4.4 | непряма |
| PyPI | mkdocs-get-deps | 0.2.2 | непряма |
| PyPI | mkdocs-jupyter | — | непряма |
| PyPI | mkdocs-jupyter | 0.26.3 | непряма |
| PyPI | mkdocs-llmstxt | — | непряма |
| PyPI | mkdocs-material | — | непряма |
| PyPI | mkdocs-material | 9.7.6 | непряма |
| PyPI | mkdocs-material-extensions | 1.3.1 | непряма |
| PyPI | mkdocs-redirects | — | непряма |
| PyPI | mkdocs-redirects | 1.2.3 | непряма |
| PyPI | mkdocstrings | — | непряма |
| PyPI | mkdocstrings | 1.0.4 | непряма |
| PyPI | mkdocstrings-python | — | непряма |
| PyPI | mkdocstrings-python | 2.0.3 | непряма |
| PyPI | more-itertools | 10.7.0 | непряма |
| PyPI | multidict | 6.2.0 | непряма |
| PyPI | multidict | 6.5.0 | непряма |
| PyPI | multiprocess | 0.70.16 | непряма |
| PyPI | mypy-extensions | 1.1.0 | непряма |
| PyPI | nbclient | 0.10.4 | непряма |
| PyPI | nbconvert | 7.17.1 | непряма |
| PyPI | nbformat | 5.10.4 | непряма |
| PyPI | nest-asyncio | 1.6.0 | непряма |
| PyPI | nodeenv | 1.9.1 | непряма |
| PyPI | numpy | 2.2.4 | непряма |
| PyPI | numpy | 2.2.6 | непряма |
| PyPI | numpy | 2.3.4 | непряма |
| PyPI | oauthlib | 3.3.0 | непряма |
| PyPI | optuna | 4.2.1 | непряма |
| PyPI | optuna | 4.8.0 | непряма |
| PyPI | packaging | 24.2 | непряма |
| PyPI | packaging | 26.2 | непряма |
| PyPI | paginate | 0.5.7 | непряма |
| PyPI | pandas | 2.2.3 | непряма |
| PyPI | pandas | 2.3.3 | непряма |
| PyPI | pandocfilters | 1.5.1 | непряма |
| PyPI | parso | 0.8.6 | непряма |
| PyPI | pathspec | 0.12.1 | непряма |
| PyPI | pathspec | 1.1.1 | непряма |
| PyPI | pexpect | 4.9.0 | непряма |
| PyPI | pillow | 12.0.0 | непряма |
| PyPI | pillow | 12.2.0 | непряма |
| PyPI | platformdirs | 4.3.8 | непряма |
| PyPI | platformdirs | 4.9.6 | непряма |
| PyPI | pluggy | 1.6.0 | непряма |
| PyPI | pre-commit | 4.6.0 | непряма |
| PyPI | prompt-toolkit | 3.0.52 | непряма |
| PyPI | propcache | 0.3.0 | непряма |
| PyPI | propcache | 0.3.2 | непряма |
| PyPI | properdocs | 1.6.7 | непряма |
| PyPI | protobuf | 6.31.1 | непряма |
| PyPI | psutil | 7.2.2 | непряма |
| PyPI | ptyprocess | 0.7.0 | непряма |
| PyPI | pure-eval | 0.2.3 | непряма |
| PyPI | pyarrow | 19.0.1 | непряма |
| PyPI | pyarrow | 22.0.0 | непряма |
| PyPI | pycparser | 2.22 | непряма |
| PyPI | pycparser | 3.0 | непряма |
| PyPI | pydantic-core | 2.27.2 | непряма |
| PyPI | pydantic-core | 2.41.5 | непряма |
| PyPI | pydantic-settings | 2.9.1 | непряма |
| PyPI | pygments | 2.19.1 | непряма |
| PyPI | pygments | 2.20.0 | непряма |
| PyPI | pyjwt | 2.10.1 | непряма |
| PyPI | pymdown-extensions | 10.21.3 | непряма |
| PyPI | pynacl | 1.5.0 | непряма |
| PyPI | pyproject-hooks | 1.2.0 | непряма |
| PyPI | pytest | 8.4.2 | непряма |
| PyPI | pytest-asyncio | 1.3.0 | непряма |
| PyPI | pytest-mock | 3.14.1 | непряма |
| PyPI | python-dateutil | 2.9.0.post0 | непряма |
| PyPI | python-dotenv | 1.0.1 | непряма |
| PyPI | python-dotenv | 1.1.0 | непряма |
| PyPI | python-multipart | 0.0.18 | непряма |
| PyPI | python-multipart | 0.0.20 | непряма |
| PyPI | pytz | 2025.1 | непряма |
| PyPI | pytz | 2025.2 | непряма |
| PyPI | pyyaml | 6.0.2 | непряма |
| PyPI | pyyaml | 6.0.3 | непряма |
| PyPI | pyyaml-env-tag | 1.1 | непряма |
| PyPI | pyzmq | 27.1.0 | непряма |
| PyPI | redis | 6.2.0 | непряма |
| PyPI | referencing | 0.36.2 | непряма |
| PyPI | referencing | 0.37.0 | непряма |
| PyPI | requests-toolbelt | 1.0.0 | непряма |
| PyPI | rich | 13.9.4 | непряма |
| PyPI | rpds-py | 0.25.1 | непряма |
| PyPI | rpds-py | 0.30.0 | непряма |
| PyPI | rq | 2.4.0 | непряма |
| PyPI | ruff | 0.15.10 | непряма |
| PyPI | s3transfer | 0.10.4 | непряма |
| PyPI | setuptools | — | непряма |
| PyPI | six | 1.17.0 | непряма |
| PyPI | sniffio | 1.3.1 | непряма |
| PyPI | soupsieve | 2.8.3 | непряма |
| PyPI | sqlalchemy | 2.0.39 | непряма |
| PyPI | sqlalchemy | 2.0.41 | непряма |
| PyPI | sse-starlette | 2.3.6 | непряма |
| PyPI | stack-data | 0.6.3 | непряма |
| PyPI | starlette | 0.46.2 | непряма |
| PyPI | starlette | 0.47.0 | непряма |
| PyPI | tiktoken | 0.12.0 | непряма |
| PyPI | tiktoken | 0.9.0 | непряма |
| PyPI | tinycss2 | 1.4.0 | непряма |
| PyPI | tokenizers | 0.21.1 | непряма |
| PyPI | tomli | 2.2.1 | непряма |
| PyPI | tornado | 6.5.5 | непряма |
| PyPI | traitlets | 5.14.3 | непряма |
| PyPI | typeguard | 4.5.1 | непряма |
| PyPI | typing-extensions | 4.15.0 | непряма |
| PyPI | typing-inspection | 0.4.2 | непряма |
| PyPI | tzdata | 2025.2 | непряма |
| PyPI | tzlocal | 5.3.1 | непряма |
| PyPI | ujson | 5.10.0 | непряма |
| PyPI | urllib3 | 2.4.0 | непряма |
| PyPI | urllib3 | 2.6.3 | непряма |
| PyPI | uvicorn | 0.29.0 | непряма |
| PyPI | uvicorn | 0.34.3 | непряма |
| PyPI | uvloop | 0.21.0 | непряма |
| PyPI | validators | 0.35.0 | непряма |
| PyPI | virtualenv | 20.31.2 | непряма |
| PyPI | watchdog | 6.0.0 | непряма |
| PyPI | wcwidth | 0.6.0 | непряма |
| PyPI | weaviate-client | 4.21.0 | непряма |
| PyPI | webencodings | 0.5.1 | непряма |
| PyPI | websockets | 13.1 | непряма |
| PyPI | wheel | — | непряма |
| PyPI | xxhash | 3.5.0 | непряма |
| PyPI | xxhash | 3.6.0 | непряма |
| PyPI | yarl | 1.18.3 | непряма |
| PyPI | yarl | 1.20.1 | непряма |
| PyPI | zipp | 3.21.0 | непряма |
| PyPI | zipp | 3.23.0 | непряма |
| PyPI | zstandard | 0.25.0 | непряма |
Сповіщення про залежності 1
Встановлення pypi:dspy@3.2.1 тягне 59 пакетів, прямих і транзитивних: 1 мають відомі сповіщення, з них 1 — прямі залежності.
| Пакет | Версія | Зв'язок | Критичність | Сповіщень | Виправлено в |
|---|---|---|---|---|---|
| diskcache | 5.6.3 | пряма | помірна | 2 | — |
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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"has_wiki": true,
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"pushed_at": "2026-07-20T15:18:05Z",
"created_at": "2023-01-09T21:01:51Z",
"owner_type": "Organization",
"updated_at": "2026-07-20T23:13:39Z",
"description": "DSPy: The framework for programming—not prompting—language models",
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"primary_language": "Python",
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},
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"name": "Stanford NLP",
"type": "Organization",
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"company": null,
"location": "Stanford, CA",
"followers": 2683,
"avatar_url": "https://avatars.githubusercontent.com/u/3046006?v=4",
"created_at": "2012-12-14T22:11:35Z",
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"file_present": true,
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},
"activity": {
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"commits_last_year": 490,
"latest_release_at": "2026-05-28T01:11:39Z",
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"has_description": true,
"has_contributing": true,
"health_percentage": 75,
"has_issue_template": false,
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"has_pull_request_template": false
},
"ecosystem": {
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{
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"keywords": [
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"registry_url": "https://pypi.org/project/dspy/",
"is_deprecated": false,
"latest_version": "3.2.1",
"repository_url": "https://github.com/stanfordnlp/dspy",
"versions_count": 106,
"total_downloads": null,
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"maintainers_count": null,
"monthly_downloads": null,
"first_published_at": "2024-04-14T22:02:23.271271Z",
"latest_published_at": "2026-05-05T19:35:07.471774Z",
"latest_version_yanked": null,
"days_since_latest_publish": 76
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]
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"examples",
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"typecheck_configs": [],
"largest_source_bytes": 114651,
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},
"dependencies": {
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"findings": [
{
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"advisory_ids": [
"GHSA-w8v5-vhqr-4h9v",
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],
"fixed_version": null,
"advisory_count": 2,
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}
],
"collected": true,
"truncated": false,
"by_severity": {
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},
"advisory_count": 2,
"affected_count": 1,
"assessed_count": 59,
"assessed_package": "pypi:dspy@3.2.1",
"unassessed_count": 0,
"direct_affected_count": 1
},
"ecosystems": [
"pypi"
],
"dependencies": [
{
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"ecosystem": "pypi",
"version_constraint": ">=1.66.2"
},
{
"name": "regex",
"manifest": "pyproject.toml",
"ecosystem": "pypi",
"version_constraint": ">=2023.10.3"
},
{
"name": "orjson",
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},
{
"name": "tqdm",
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{
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{
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{
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},
{
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},
{
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"ecosystem": "pypi",
"version_constraint": ">=0.54.2"
},
{
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"manifest": "pyproject.toml",
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"version_constraint": ">=8.2.3"
},
{
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},
{
"name": "cachetools",
"manifest": "pyproject.toml",
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},
{
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"ecosystem": "pypi",
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{
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"ecosystem": "pypi",
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"packages": [
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"details": [
{
"code": "no_indirect_advisories",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
"name": "No advisories left outstanding",
"detail": "1 advisory-carrying package(s) unaddressed past 90 days; oldest published 159 days ago",
"points": 37.2,
"status": "partial",
"details": [
{
"code": "advisories_stale",
"params": {
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"count": 1,
"oldest": 159
}
}
],
"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": 59,
"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": 9
},
"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": "at_risk",
"name": "AI Readiness",
"value": 42,
"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": "moderate",
"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": 61,
"inputs": {
"has_nix": false,
"has_tests": true,
"lockfiles": [
"Pipfile.lock",
"uv.lock"
],
"has_dockerfile": false,
"typed_language": false,
"bootstrap_files": [],
"has_devcontainer": false,
"has_linter_config": true,
"typecheck_configs": [],
"agent_commit_share": null,
"toolchain_manifests": [],
"dependency_bot_commit_share": 0
},
"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"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": null,
"points": 0,
"status": "missed",
"details": [],
"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 7",
"points": 7,
"status": "partial",
"details": [],
"max_points": 10
}
]
},
{
"key": "ai_code_legibility",
"band": "moderate",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 54,
"inputs": {
"primary_language": "Python",
"largest_source_bytes": 114651,
"source_files_sampled": 261,
"oversized_source_files": 7
},
"components": [
{
"key": "type_checkable_code",
"name": "Type-checkable code",
"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_typecheck_config_language",
"params": {
"language": "Python"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "7/261 source files over 60KB",
"points": 53.5,
"status": "partial",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 261,
"oversized": 7
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "moderate",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 60,
"inputs": {
"example_dirs": [
"examples",
"notebooks"
],
"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, notebooks",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples, 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": "2026-07-21T01:14:44.545005Z",
"schema_version": "0.16.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/s/stanfordnlp/dspy.svg",
"full_name": "stanfordnlp/dspy",
"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 v0.16.0 — повна методологія · вікі метрик.
Як окремий результат виглядає на тлі всього реєстру: сукупна статистика — PyPI.