Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.30.0 · метрики 2.5.0 · 2026-08-04 14:25 UTC

wandb / wandb-workspaces

Programatically edit the W&B UI

PythonApache-2.0★ 28 зірок⑂ 3 форкиз черв. 2024 р.Переглянути на GitHub ↗
ТипБібліотекаяк це визначено

wandb/wandb-workspaces має індекс здоров’я 89 зі 100, що відповідає смузі «Відмінний». Найвищий показник — Vitality (89/100), найнижчий — AI Readiness (57/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконують 3 учасники.

89
загалом / 100
Відмінний

Індекс здоров'я програмного забезпечення

Метрики згруповано у зважені категорії на шкалі 1–100. Загальна оцінка починається як їхнє зважене середнє, відкаліброване за розподілом публічного реєстру, тож діапазони мають перцентильний зміст; коли публічні дані активують Політику юрисдикцій високого ризику, рейтинг коригується й отримує верхню межу 34 («У зоні ризику»).

89
Винятковий93-100Верхній щабель реєстру (≈ топ-5%); відповідає практично всім перевіреним критеріям
Відмінний80-92Сильний за всіма напрямами; незначні прогалини
Добрий65-79Здоровий; прогалини обмежені та керовані
Помірний50-64Прийнятний, але з помітними прогалинами; рекомендовано перевірку
Слабкий35-49Суттєві недоліки в кількох сферах
У зоні ризику20-34Суттєві слабкі місця; впровадження потребує обережності
Критичний1-19Серйозні проблеми (покинутий, єдиний мейнтейнер, без базової гігієни)
ЖиттєздатністьСпільнота тавпровадженняСталість таврядуванняІнженернаякістьБезпекаГотовність доШІ

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.

Зважений загальний бал 75 калібровано до 89 за шкалою опублікованого індексу (калібрування реєстру 2026-08-02).

Власність

Weights & BiasesОрганізація
1 411 підписників158 публічних репозиторіївз бер. 2017 р.

За цим репозиторієм стоїть організація — спільна, підзвітна опіка, здатна пережити будь-якого окремого мейнтейнера.

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікація
PyPIwandb-workspaces0.4.5335 812350 днів тому

Метрики за категоріями

Життєздатність

Чи живий проєкт — чи пишеться код і чи виходять релізи?

89Відмінний · 21% загального індексу
Як обчислюється оцінка
36/36Свіжість push — останній push 0 дн. тому
24.2/36Ритм комітів — 35/52 тижнів із комітами
18/18Обсяг комітів — 178 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year178
human_commit_share0,93
days_since_last_push0
active_weeks_last_year35
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 35 релізів
36/36Свіжість релізів — останній реліз 0 дн. тому
27/27Ритм релізів — реліз кожні ~15,4 дн.
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Використані вхідні дані
releases_count35
latest_release_tagv0.4.5
releases_from_tagsні
days_since_latest_release0
mean_days_between_releases15,4

Спільнота та впровадження

Чи має проєкт користувачів, завантаження, увагу та влаштовані умови для контриб’юторів?

62Помірний · 17% загального індексу
Як обчислюється оцінка
23.2/60Зірки — 28 зірок
2.5/25Форки — 3 форків
3.3/15Спостерігачі — 5 спостерігачів
Використані вхідні дані
forks3
stars28
watchers5
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Як обчислюється оцінка
22.5/22.5README
22.5/22.5Ліцензія — визнана ліцензія (Apache-2.0)
18/18Настанови CONTRIBUTING
0/13.5Кодекс поведінки
0/7.2Шаблон issue
6.3/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
readme_badges3
has_contributingтак
has_issue_templateні
has_code_of_conductні
readme_badge_servicesshields.io
has_pull_request_templateтак
Як обчислюється оцінка
73.7/80Щомісячні завантаження — 335 812 завантажень/місяць у pypi
0/20Залежні пакети в реєстрі — ця екосистема цього не повідомляє
Використані вхідні дані
packageswandb-workspaces
dependents
ecosystemspypi
total_downloads
monthly_downloads335 812
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?

79Добрий · 23% загального індексу
Як обчислюється оцінка
36/54Бас-фактор — на 3 контриб’ютор(ів) припадає половина всіх комітів
16.2/22.5Розподіл комітів — головний контриб’ютор — автор 28% комітів
13.5/13.5Широта контриб’юторів — 22 контриб’юторів
6/10OpenSSF Scorecard: Contributors — project has 2 contributing companies or organizations -- score normalized to 6
Використані вхідні дані
bus_factor3
contributors_sampled22
top_contributor_share0,278
Як обчислюється оцінка
22.6/42Вирішення issue — закрито 54% issue
24/30Прийняття PR — злито 135/169 вирішених PR
10.4/13Newcomer PR acceptance — злито 4/5 PR від новачків за 30 дн.
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Використані вхідні дані
merged_prs135
open_issues6
closed_issues7
prs_merged_7d1
prs_decided_7d2
prs_merged_30d5
prs_decided_30d6
issue_closed_ratio0,538
closed_unmerged_prs34
first_time_authors_30d3
first_time_prs_merged_30d4
first_time_prs_decided_30d5
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
22.6/25Охоплення власника — 1 411 підписників у wandb
25/25Послужний список — 158 публічних репозиторіїв, вік облікового запису ~9 р.
Використані вхідні дані
followers1 411
owner_typeOrganization
is_verified
owner_loginwandb
public_repos158
account_age_days3 430

Супровід пакетів

100Винятковий
Як обчислюється оцінка
25/25Опубліковано й доступно — 1 пакет(ів) у pypi
35/35Свіжість публікацій — остання публікація 0 дн. тому
20/20Історія версій — 35 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packageswandb-workspaces
ecosystemspypi
any_deprecatedні
min_days_since_publish0

Інженерна якість

Чи наявні базові інженерні практики та документація?

76Добрий · 19% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 3 процес(ів) CI
24/24Наявні тести
16/16Конфігурація лінтера
9.6/9.6Pre-commit-хуки
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 7 out of 7 merged PRs checked by a CI test -- score normalized to 10
Використані вхідні дані
has_ciтак
has_testsтак
has_editorconfigні
has_linter_configтак
has_precommit_configтак

Документація

50Помірний
Як обчислюється оцінка
30/30README
0/25Каталог документації
0/15Сайт документації / домашня сторінка
10/10Опис репозиторію
0/10Теми
10/10Wiki
Використані вхідні дані
topics
has_wikiтак
homepage
has_readmeтак
has_docs_dirні
has_descriptionтак

Безпека

Чи міцні видимі практики безпеки й ланцюга постачання, без непослабленої пов’язаності з юрисдикціями високого ризику?

69Добрий · 16% загального індексу

Стан безпеки

61Помірний
Як обчислюється оцінка
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — немає даних
2.5/2.5CI-Tests — 7 out of 7 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
1.5/2.5Contributors — project has 2 contributing companies or organizations -- score normalized to 6
10/10Dangerous-Workflow — no dangerous workflow patterns detected
7.5/7.5Dependency-Update-Tool — update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Ліцензія — license file detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
2.5/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 24 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate6,1
Виключено з оцінювання (немає даних або не застосовно): branch_protection. Залишкові ваги перенормовано.
Як обчислюється оцінка
35/35Прямі залежності без відомих сповіщень — жодна пряма залежність не має відомих сповіщень
0/25Непрямі залежності без відомих сповіщень — транзитивний набір не відокремлюється від залежностей розробки й тестування в цьому обсязі
0/40Немає задавнених сповіщень — жодне сповіщення не має дати публікації
Використані вхідні дані
sourceosv
advisories36
affected_packages8
assessed_packages54
unassessed_packages0
affected_by_severitycritical 1, high 3, moderate 4
direct_affected_packages0
Виключено з оцінювання (немає даних або не застосовно): Непрямі залежності без відомих сповіщень, Немає задавнених сповіщень. Залишкові ваги перенормовано. Звірено 54 резолвлених залежностей із OSV. Цей репозиторій не публікує пакета, який резолвить індекс, тож натомість оцінено граф залежностей репозиторію. Цей граф змішує закріплені версії для розробки й тестування зі справді постачаними залежностями, тож оцінюються лише задекларовані runtime-залежності; транзитивні знахідки подаються як контекст і в оцінку не входять. Досяжність не аналізується.

Готовність до ШІ

Наскільки репозиторій оснащений для розробки та супроводу за участі ШІ-агентів? Має свідомо малу вагу (4%): агентний інструментарій — реальний сигнал супроводу, але репозиторій без нього все одно може отримати 100/100.

57Помірний · 4% загального індексу
Як обчислюється оцінка
0/45Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора
0/15Машиночитана документація (llms.txt)
40/40Читабельна історія комітів — намір зазначено у 81 з 93 людських комітів (структурований заголовок або пояснювальний текст)
Використані вхідні дані
has_llms_txtні
legible_history_share0,871
agent_instruction_files
agent_instruction_max_bytes
Як обчислюється оцінка
0/18Розгортання однією командою
22/22Автоматизовані тести
11/11Конфігурація лінтера / форматера
11/11Статична перевірка типів — wandb_workspaces/py.typed
10/10Відтворюване середовище — lockfile
8/10Підтверджена практика роботи з агентами — 4 з останніх 100 комітів створено агентом або з його зазначенням
0/8Автоматизоване супроводження — автоматичних оновлень залежностей не виявлено
5/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 5
Використані вхідні дані
has_nixні
has_testsтак
lockfilesuv.lock
has_dockerfileні
typed_languageні
bootstrap_files
has_devcontainerні
has_linter_configтак
typecheck_configswandb_workspaces/py.typed
agent_commit_share0,04
toolchain_manifests
dependency_bot_commit_share0
Як обчислюється оцінка
27/45Типізований код — Python з конфігурацією перевірки типів (wandb_workspaces/py.typed)
53/55Керовані розміри файлів — 2/56 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes179 859
source_files_sampled56
oversized_source_files2
Як обчислюється оцінка
0/40Схема API (OpenAPI/GraphQL/proto)
0/20Сервер MCP
40/40Придатні до запуску приклади — examples, notebooks
Використані вхідні дані
example_dirsexamples, notebooks
has_mcp_signalні
api_schema_files

Ключові факти

28зірок GitHub
22контриб'юторів
178комітів за останні 12 місяців
0днів від останнього пушу
35релізів
3бас-фактор
6відкритих issue
PyPIпакетних екосистем

Попередження щодо збору даних

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • deps.dev does not index pypi:wandb-workspaces@0.4.5; advisories assessed against the repository dependency graph instead

Докладніше

Історія зірок і форків 0 ★ / 3 ⇿
0Зірки
3Форки
19Релізи

Коли додано кожну зірку й форк — зібрано з GitHub і згруповано за днями. Кумулятивне зростання розміщено просто над денними додаваннями, з яких воно складається, тож їх видно одне проти одного: рівномірне органічне накопичення виглядає зовсім інакше, ніж різкий короткочасний сплеск. Там, де цю різницю можна виміряти, її подано як автентичність росту.

12233312024-062025-042026-02
Мажорні 0Мінорні 2Патчі 17

Кожна точка охоплює 2 днів.

OpenSSF Scorecard 6.1 / 10
6.1сукупно

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).Scorecard v5.5.0 · 2026-08-04 14:25 UTC

10Binary-Artifactsno binaries found in the repo
н/дBranch-Protectioninternal 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
10CI-Tests7 out of 7 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
6Contributorsproject has 2 contributing companies or organizations -- score normalized to 6
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
5Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 5
0SASTSAST tool is not run on all commits -- score normalized to 0
10Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities24 existing vulnerabilities detected
Прямі залежності 2
РеєстрПакетОбмеження версіїМаніфест
PyPIpydantic>=2.7pyproject.toml
PyPIwandb>=0.13.7pyproject.toml
Усі залежності 54

Повний розв'язаний набір залежностей із графа залежностей GitHub: 2 прямих і 52 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPIpydantic2.12.2пряма
PyPIwandb0.22.2пряма
PyPIannotated-types0.7.0непряма
PyPIcertifi2025.10.5непряма
PyPIcfgv3.4.0непряма
PyPIcharset-normalizer3.4.4непряма
PyPIclick8.1.8непряма
PyPIclick8.3.0непряма
PyPIcodecov2.1.13непряма
PyPIcolorama0.4.6непряма
PyPIcoverage7.10.7непряма
PyPIcoverage7.11.0непряма
PyPIdistlib0.4.0непряма
PyPIeval-type-backport0.2.2непряма
PyPIexceptiongroup1.3.0непряма
PyPIfaker37.11.0непряма
PyPIfilelock3.19.1непряма
PyPIfilelock3.20.3непряма
PyPIgitdb4.0.12непряма
PyPIgitpython3.1.45непряма
PyPIidentify2.6.15непряма
PyPIidna3.11непряма
PyPIiniconfig2.1.0непряма
PyPImypy1.18.2непряма
PyPImypy-extensions1.1.0непряма
PyPInodeenv1.9.1непряма
PyPInumpy1.26.4непряма
PyPIpackaging25.0непряма
PyPIpandas2.3.3непряма
PyPIpathspec0.12.1непряма
PyPIplatformdirs4.4.0непряма
PyPIplatformdirs4.5.0непряма
PyPIpluggy1.6.0непряма
PyPIpolyfactory2.22.2непряма
PyPIpre-commit3.8.0непряма
PyPIprotobuf6.33.5непряма
PyPIpydantic-core2.41.4непряма
PyPIpytest8.3.5непряма
PyPIpytest-cov7.0.0непряма
PyPIpython-dateutil2.9.0.post0непряма
PyPIpytz2025.2непряма
PyPIpyyaml6.0.3непряма
PyPIrequests2.32.5непряма
PyPIruff0.14.1непряма
PyPIsentry-sdk2.42.0непряма
PyPIsix1.17.0непряма
PyPIsmmap5.0.2непряма
PyPItomli2.3.0непряма
PyPItyping-extensions4.15.0непряма
PyPItyping-inspection0.4.2непряма
PyPItzdata2025.2непряма
PyPIurllib32.6.3непряма
PyPIvirtualenv20.36.1непряма
PyPIwandb-workspaces0.4.5непряма
Сповіщення про залежності 8

Цей репозиторій не публікує пакета, який розпізнає індекс, тож оцінено його власний граф залежностей — 54 пакетів, серед яких є й піниї розробки та тестування, що ніколи не постачаються: 8 мають відомі сповіщення, з них 0 прямі.

ПакетВерсіяЗв'язокКритичністьСповіщеньВиправлено в
gitpython3.1.45непрямакритична203.1.57
click8.1.8непрямависока18.3.3
click8.3.0непрямависока18.3.3
urllib32.6.3непрямависока42.7.0
filelock3.19.1непрямапомірна43.20.3
idna3.11непрямапомірна23.15
pytest8.3.5непрямапомірна29.0.3
requests2.32.5непрямапомірна22.33.0

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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          "body": "- Remove Group class (no-op wrapper) from expr.py and all references\n- Update type annotations and validators in both interface files\n- Add Or/And and string OR examples to workspace and report filter\n  example files\n- Update example comments to reflect OR support in string filters\n\nMade-with: Cursor",
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          "body": "- Add is_first_in_parent parameter for explicit connector tracking\n- Unwrap single-element groups to avoid unnecessary nesting\n- Remove _flatten_tree_to_v2_items (now handled by unified else branch)\n- Use immutable dict spread instead of mutating sub-items in place\n\nMade-with: Cursor",
          "is_bot": false,
          "headline": "fix(sdk): improve tree-to-v2 conversion with precedence-aware grouping",
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          "headline": "Merge branch 'feat/v2-filters-read' into feat/v2-filters-workspace-write",
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          "headline": "fix(sdk): improve tree-to-v2 conversion with precedence-aware grouping",
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          "headline": "chore(sdk): add legacy filter comments, remove debug prints",
          "author_name": "Marie Barr-Ramsey",
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          "body": "- filterexpr_list_to_string now formats FilterExpr directly to string\n  without going through tree/v2 intermediate steps\n- Adds DeprecationWarning guiding users to And(...) syntax\n- Removes dead code: filter_expr_to_filters_tree, normalize_filters_to_string\n- Simplifies workspace and report validators to use filterexpr_list_to_string\n\nMade-with: Cursor",
          "is_bot": false,
          "headline": "refactor(sdk): simplify list→string path, deprecate plain list filters",
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          "is_bot": false,
          "headline": "refactor(sdk): remove legacy filters_to_expr, use v2 path everywhere",
          "author_name": "Marie Barr-Ramsey",
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          "headline": "Merge feat/v2-filters-report-write into feat/v2-filters-or-groups",
          "author_name": "Marie Barr-Ramsey",
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          "headline": "Merge remote-tracking branch 'origin/feat/v2-filters-workspace-write'…",
          "author_name": "Marie Barr-Ramsey",
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          "is_bot": false,
          "headline": "Merge feat/v2-filters-read: replace _flatten_nested_groups with depth…",
          "author_name": "Marie Barr-Ramsey",
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          "headline": "Merge feat/v2-filters-read: replace _flatten_nested_groups with depth…",
          "author_name": "Marie Barr-Ramsey",
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          "headline": "Merge branch 'feat/v2-filters-read' into feat/v2-filters-workspace-write",
          "author_name": "Marie Barr-Ramsey",
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          "body": "Resolve conflict in expr.py: keep _format_filter_leaf from our branch,\ntake main's simplified filters_to_expr signature (no is_root param).\n\nMade-with: Cursor",
          "is_bot": false,
          "headline": "Merge origin/main into feat/v2-filters-read",
          "author_name": "Marie Barr-Ramsey",
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          "body": "…-based ValueError\n\nResolve merge conflict by combining the write branch's is_first_in_parent\nconnector logic with the read branch's depth enforcement. Remove\n_flatten_nested_groups since the depth param on _tree_node_to_v2_items\nnow catches nested groups at conversion time. Update test to expect\nValueError instead of silent flattening.\n\nMade-with: Cursor",
          "is_bot": false,
          "headline": "Merge feat/v2-filters-read: replace _flatten_nested_groups with depth…",
          "author_name": "Marie Barr-Ramsey",
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          "body": "Replace silent flattening with precedence-aware depth tracking in\n_tree_node_to_v2_items. AND-inside-OR is inlined (implicit precedence),\nwhile OR-inside-AND creates a real group. Raises ValueError if groups\nnest deeper than 1 level, matching the UI's rendering limit.\n\nMade-with: Cursor",
          "is_bot": false,
          "headline": "feat(sdk): enforce 1-level group depth limit in v2 filter conversion",
          "author_name": "Marie Barr-Ramsey",
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          "body": "Match legacy behavior where disabled filters are included in the\nstring. This avoids losing OR connectors when a disabled item starts\na new OR segment, and is consistent with how legacy filters have\nalways worked.\n\nMade-with: Cursor",
          "is_bot": false,
          "headline": "fix(sdk): include disabled v2 filters in string representation",
          "author_name": "Marie Barr-Ramsey",
          "author_login": "mbarrramsey",
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          "body": "fix(sdk): legacy filters adding nesting",
          "is_bot": false,
          "headline": "Merge pull request #157 from wandb/fix/legacy-filter-nesting",
          "author_name": "Marie Barr-Ramsey",
          "author_login": "mbarrramsey",
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          "oid": "562be43534078e5be72faa753399f5f3c5acc3d3",
          "body": "…tion\n\nfilters_to_expr incorrectly wrapped non-root AND nodes in parentheses,\ne.g. producing \"(a and b)\" instead of \"a and b\". When users appended\nto that string and saved, the parens caused a nested AND tree that\nlegacy filters can't handle, with nesting growing on each save cycle.\n\nMade-with: Cursor",
          "is_bot": false,
          "headline": "fix(sdk): remove unnecessary parentheses from legacy filter serializa…",
          "author_name": "Marie Barr-Ramsey",
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          "body": "Stash the v2 filter dict (with disabled flags intact) at load time in\nboth Workspace and Report Runset. On write, if the filter string hasn't\nbeen modified, use the stashed v2 directly. Otherwise fall through to\nthe string → tree → v2 conversion (disabled state lost, acceptable\nsince the user explicitly changed filters).\n\nAlso updates tests to verify disabled preservation and adapts\nuser-constructed/modified runset tests for the always-write-v2 path.\n\nMade-with: Cursor",
          "is_bot": false,
          "headline": "fix: preserve disabled filter state through load/save roundtrip",
          "author_name": "Marie Barr-Ramsey",
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          "body": "- Replace _reject_v2_format on Filters with _keep_v2_as_dict on\n  internal.Runset (matching the workspace-write PR pattern)\n- Restore _format_filter_leaf to workspace-write PR version\n- Restore inline validator in report Runset instead of\n  normalize_filters_to_string, add Or/And/Group elif branch\n- Fix trailing whitespace\n\nMade-with: Cursor",
          "is_bot": false,
          "headline": "chore: restore stacked PR patterns and revert cosmetic changes",
          "author_name": "Marie Barr-Ramsey",
          "author_login": "mbarrramsey",
          "committed_at": "2026-04-29T00:33:04Z",
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          "body": "- Report Runset._to_model() now converts filters to v2 via\n  filters_tree_to_v2(expr_to_filters(...)), matching the workspace path\n- Report Runset._from_model() handles v2 dicts with filters_v2_to_string\n- Widen Runset.filters type to accept Or/And/Group objects\n- Use shared normalize_filters_to_string validator\n- Remove _filters_internal stashing (no longer needed with always-v2)\n\nMade-with: Cursor",
          "is_bot": false,
          "headline": "feat: reports always write v2 filters and accept Or/And/Group objects",
          "author_name": "Marie Barr-Ramsey",
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          "oid": "7b2f505e5391a825f2b111022d8ef567235d6810",
          "body": "Add Or(), And(), Group() filter construction classes for programmatic\nv2 filter expressions. All workspaces and reports now always write in\nv2 format regardless of how they were loaded. Removes the legacy tree\nwrite path in favor of universal v2 output.\n\nMade-with: Cursor",
          "is_bot": false,
          "headline": "feat: expose Or/And/Group API and always write v2 filter format",
          "author_name": "Marie Barr-Ramsey",
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          "oid": "151e4c861bc93025c814ed62e727b01e7296fd79",
          "body": "The test used `A or (B and C)` which doesn't produce a group because AND\nnaturally binds tighter than OR. Changed to `(A or B) and C` where OR\ninside AND reverses natural precedence and correctly requires a v2 group.\n\nMade-with: Cursor",
          "is_bot": false,
          "headline": "fix: use correct precedence in test_modified_v2_with_group",
          "author_name": "Marie Barr-Ramsey",
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          "body": "Extend the v2 write-back pattern to reports: stash raw v2 dict on load,\npreserve it on unchanged save, reconvert through tree → v2 on modified\nsave. Legacy reports now write filters in the canonical OR → AND → leaves\nshape. Adds TestReportWriteBack covering unchanged v2, modified v2, groups,\nlegacy preservation, and field separation.\n\nMade-with: Cursor",
          "is_bot": false,
          "headline": "feat: add report v2 filter write-back with legacy wrapping",
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                ],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "7 out of 7 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "all changesets reviewed",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 2 contributing companies or organizations -- score normalized to 6",
                "points": 1.5,
                "status": "partial",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 5",
                "points": 2.5,
                "status": "partial",
                "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": "Project has not signed or included provenance with any releases.",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "24 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "exceptional",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 54 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "indirect_dependencies_free_of_known_advisories",
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_repository",
                "params": {
                  "assessed": 54
                }
              },
              {
                "code": "advisories_repo_graph_caveat",
                "params": {}
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 36,
              "affected_packages": 8,
              "assessed_packages": 54,
              "unassessed_packages": 0,
              "affected_by_severity": "critical 1, high 3, moderate 4",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "transitive set not separable from development and test dependencies in this scope",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_scope_not_separable",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "exceptional",
            "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": 54,
              "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": "exceptional",
            "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"
              ],
              "commit_weight_rule": {
                "min_commits": 50,
                "min_commit_share": 0.1
              },
              "review_only_matches": 0,
              "below_threshold_exposures": [],
              "assessed_self_published_locations": 4
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "moderate",
        "name": "AI Readiness",
        "value": 57,
        "weight": 0.04,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "weak",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.871,
              "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": "81 of 93 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 81,
                      "sampled": 93
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 67,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "uv.lock"
              ],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "wandb_workspaces/py.typed"
              ],
              "agent_commit_share": 0.04,
              "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": "wandb_workspaces/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "wandb_workspaces/py.typed"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "lockfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "4 of the last 100 commits agent-authored or agent-credited",
                "points": 8,
                "status": "partial",
                "details": [
                  {
                    "code": "agent_authored_commits",
                    "params": {
                      "count": 4,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 5",
                "points": 5,
                "status": "partial",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "excellent",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 80,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 179859,
              "source_files_sampled": 56,
              "oversized_source_files": 2
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (wandb_workspaces/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "wandb_workspaces/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "2/56 source files over 60KB",
                "points": 53,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 56,
                      "oversized": 2
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "weak",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "examples",
                "notebooks"
              ],
              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "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? Carries a deliberately small weight: agent tooling is a real maintenance signal, but its absence must never gate the top of the scale (calibration saturates at raw 91, so 100/100 remains reachable with AI Readiness at zero)."
      }
    ],
    "classification": {
      "top": [
        "library"
      ],
      "labels": [
        "library"
      ],
      "scores": {
        "library": 12,
        "notebook": 3
      },
      "primary": "library",
      "evidence": [
        {
          "tier": "declared",
          "label": "library",
          "source": "pypi.classifier:Topic :: Software Development :: Libraries",
          "weight": 6
        },
        {
          "tier": "distribution",
          "label": "library",
          "source": "registry:pypi",
          "weight": 6
        },
        {
          "tier": "structure",
          "label": "notebook",
          "source": "tree.notebook",
          "weight": 3
        }
      ],
      "artifacts": [
        {
          "path": "pyproject.toml",
          "labels": [
            "library"
          ],
          "ecosystem": "pypi"
        }
      ],
      "confidence": "high",
      "host_extension": false,
      "runs_as_process": false,
      "consumed_by_code": true
    },
    "metrics_version": "2.5.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "deps.dev does not index pypi:wandb-workspaces@0.4.5; advisories assessed against the repository dependency graph instead"
  ],
  "report_type": "repository",
  "generated_at": "2026-08-04T14:25:58.112282Z",
  "schema_version": "0.30.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/w/wandb/wandb-workspaces.svg",
  "full_name": "wandb/wandb-workspaces",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

Оцінки — це сигнали, а не гарантії. Вони відображають публічно видимі практики на GitHub — це не аудит коду й не гарантія безпеки.

Відсутні дані виключаються, а ваги перенормовуються — нуль за відсутність ніколи не ставиться. Методологія версіонована й відкрита: метрики v2.5.0, схема v0.30.0 — повна методологія · вікі метрик.

Як окремий результат виглядає на тлі всього реєстру: сукупна статистикаPyPI.