Публічний реєстрПомірний
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 2.3.1 · 2026-07-31 06:59 UTC
codezonediitj / pydatastructs
A python package for data structures and algorithms
codezonediitj/pydatastructs має індекс здоров’я 51 зі 100, що відповідає смузі «Помірний». Найвищий показник — Engineering Quality (78/100), найнижчий — Vitality (33/100). Останнє оновлення було 281 день тому. Більшість нещодавньої роботи виконують 3 учасники.
51
загалом / 100Індекс 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»).
51
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)
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 57 калібровано до 60 за шкалою опублікованого індексу (калібрування реєстру 2026-08-02).
Власність
CodeZonedОрганізація
6 підписників6 публічних репозиторіївз квіт. 2019 р.
За цим репозиторієм стоїть організація — спільна, підзвітна опіка, здатна пережити будь-якого окремого мейнтейнера.
Пакетні екосистеми
| Реєстр | Пакет | Версія | Завантажень / міс | Версії | Остання публікація | Теги |
|---|---|---|---|---|---|---|
| PyPI | cz-pydatastructs | 0.0.1 | 102 | 3 | 1719 днів тому | — |
| PyPI | pydatastructsвказує на інший репозиторій — не оцінюється | 1.2.3 | 908 | 6 | 1844 дні тому | pythondata-structurescollectionsstackqueuetreebinary-search-treeheaplinked-list |
Метрики за категоріями
Життєздатність
Чи живий проєкт — чи пишеться код і чи виходять релізи?
33
Активність розробки
15Критичний
Ознака покинутості
Робота надійшла, і нею ніхто не зайнявся
жодного людського коміта за 284 дн.автоматичні коміти не врахованоішюси без відповідірелізи зупинилисяOpenSSF Scorecard визнає проєкт без супроводу
Сама лише тиша ніколи не є підставою — невеликій завершеній бібліотеці коміти можуть бути не потрібні роками. Ця ознака вимагає двох умов водночас: тривалої відсутності людських комітів і зобов'язань, які проєкт очевидно не виконує. Автоматичні коміти супроводженням не вважаються.
Як оцінюється покинутістьЯк обчислюється оцінка
| 3.6/36 | Свіжість push — останній push 281 дн. тому |
| 2.8/36 | Ритм комітів — 4/52 тижнів із комітами |
| 9/18 | Обсяг комітів — 9 комітів за останній рік |
| 0/10 | OpenSSF Scorecard: Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
Використані вхідні дані
| commits_last_year | 9 |
| human_commit_share | 1 |
| days_since_last_push | 281 |
| active_weeks_last_year | 4 |
Дисципліна релізів
60Помірний
Як обчислюється оцінка
| 27/27 | Випускає релізи — опубліковано 3 релізів |
| 0/36 | Свіжість релізів — останній реліз 1 719 дн. тому |
| 27/27 | Ритм релізів — реліз кожні ~10,5 дн. |
| 0/10 | OpenSSF Scorecard: Signed-Releases — немає даних |
Використані вхідні дані
| releases_count | 3 |
| latest_release_tag | v0.0.1 |
| releases_from_tags | ні |
| days_since_latest_release | 1 719 |
| mean_days_between_releases | 10,5 |
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?
58
Популярність і впровадження
60Помірний
Як обчислюється оцінка
| 37.7/60 | Зірки — 212 зірок |
| 20.8/25 | Форки — 316 форків |
| 1.7/15 | Спостерігачі — 3 спостерігачів |
Використані вхідні дані
| forks | 316 |
| stars | 212 |
| watchers | 3 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Здоров'я спільноти
74Добрий
Як обчислюється оцінка
| 22.5/22.5 | README |
| 16.9/22.5 | Ліцензія — файл ліцензії наявний, не є визнаною ліцензією |
| 0/18 | Настанови CONTRIBUTING |
| 13.5/13.5 | Кодекс поведінки |
| 7.2/7.2 | Шаблон issue |
| 6.3/6.3 | Шаблон PR |
Використані вхідні дані
| has_readme | так |
| has_license | так |
| readme_badges | — |
| has_contributing | ні |
| has_issue_template | так |
| has_code_of_conduct | так |
| readme_badge_services | — |
| has_pull_request_template | так |
Впровадження в екосистемі (завантаження)
34У зоні ризику
Як обчислюється оцінка
| 26.8/80 | Щомісячні завантаження — 102 завантажень/місяць у pypi |
| 0/20 | Залежні пакети в реєстрі — ця екосистема цього не повідомляє |
Використані вхідні дані
| packages | cz-pydatastructs |
| dependents | — |
| ecosystems | pypi |
| total_downloads | — |
| monthly_downloads | 102 |
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?
65
Як обчислюється оцінка
| 36/54 | Бас-фактор — на 3 контриб’ютор(ів) припадає половина всіх комітів |
| 13.3/22.5 | Розподіл комітів — головний контриб’ютор — автор 41% комітів |
| 13.5/13.5 | Широта контриб’юторів — 59 контриб’юторів |
| 10/10 | OpenSSF Scorecard: Contributors — project has 18 contributing companies or organizations |
Використані вхідні дані
| bus_factor | 3 |
| contributors_sampled | 59 |
| top_contributor_share | 0,408 |
Реактивність на issue та PR
68Добрий
Як обчислюється оцінка
| 27/42 | Вирішення issue — закрито 64% issue |
| 19/30 | Прийняття PR — злито 230/363 вирішених PR |
| 0/13 | Newcomer PR acceptance — за 30 дн. не вирішено жодного PR від новачка |
| 13.5/15 | OpenSSF Scorecard: Code-Review — Found 28/30 approved changesets -- score normalized to 9 |
Використані вхідні дані
| merged_prs | 230 |
| open_issues | 98 |
| closed_issues | 177 |
| prs_merged_7d | — |
| prs_decided_7d | — |
| prs_merged_30d | — |
| prs_decided_30d | — |
| issue_closed_ratio | 0,644 |
| closed_unmerged_prs | 133 |
| first_time_authors_30d | — |
| first_time_prs_merged_30d | — |
| first_time_prs_decided_30d | — |
Виключено з оцінювання (немає даних або не застосовно): newcomer_pr_acceptance. Залишкові ваги перенормовано.
Власність та опіка
54Помірний
Як обчислюється оцінка
| 30/30 | Підтримка власника — у власності організації |
| 0/20 | Верифікований домен |
| 6.1/25 | Охоплення власника — 6 підписників у codezonediitj |
| 18.2/25 | Послужний список — 6 публічних репозиторіїв, вік облікового запису ~7 р. |
Використані вхідні дані
| followers | 6 |
| owner_type | Organization |
| is_verified | — |
| owner_login | codezonediitj |
| public_repos | 6 |
| account_age_days | 2 650 |
Супровід пакетів
61Помірний
Як обчислюється оцінка
| 25/25 | Опубліковано й доступно — 1 пакет(ів) у pypi |
| 4/35 | Свіжість публікацій — остання публікація 1 719 дн. тому |
| 12/20 | Історія версій — 3 опублікованих версій |
| 20/20 | Не застарілий — активний, не deprecated і не yanked |
Використані вхідні дані
| packages | cz-pydatastructs |
| ecosystems | pypi |
| any_deprecated | ні |
| min_days_since_publish | 1 719 |
Інженерна якість
Чи наявні базові інженерні практики та документація?
78
Інженерні практики
64Помірний
Як обчислюється оцінка
| 24/24 | Процеси CI — 1 процес(ів) CI |
| 24/24 | Наявні тести |
| 0/16 | Конфігурація лінтера |
| 0/9.6 | Pre-commit-хуки |
| 6.4/6.4 | .editorconfig |
| 10/20 | OpenSSF Scorecard: CI-Tests — 15 out of 30 merged PRs checked by a CI test -- score normalized to 5 |
Використані вхідні дані
| has_ci | так |
| has_tests | так |
| has_editorconfig | так |
| has_linter_config | ні |
| has_precommit_config | ні |
Документація
100Винятковий
Як обчислюється оцінка
| 30/30 | README |
| 25/25 | Каталог документації |
| 15/15 | Сайт документації / домашня сторінка — https://pydatastructs.readthedocs.io/en/stable/ |
| 10/10 | Опис репозиторію |
| 10/10 | Теми — 8 тем |
| 10/10 | Wiki |
Використані вхідні дані
| topics | data-structures, algorithms, algorithms-and-data-structures, sports-programming, computer-science, python3, hacktoberfest, closember |
| has_wiki | так |
| homepage | https://pydatastructs.readthedocs.io/en/stable/ |
| 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?
55
Стан безпеки
44Слабкий
Як обчислюється оцінка
| 7.5/7.5 | Binary-Artifacts — no binaries found in the repo |
| 0/7.5 | Branch-Protection — немає даних |
| 1.2/2.5 | CI-Tests — 15 out of 30 merged PRs checked by a CI test -- score normalized to 5 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 6.8/7.5 | Code-Review — Found 28/30 approved changesets -- score normalized to 9 |
| 2.5/2.5 | Contributors — project has 18 contributing companies or organizations |
| 10/10 | Dangerous-Workflow — no dangerous workflow patterns detected |
| 0/7.5 | Dependency-Update-Tool — no update tool detected |
| 0/5 | Fuzzing — project is not fuzzed |
| 2.2/2.5 | Ліцензія — license file detected |
| 0/7.5 | Maintained — 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| 0/5 | Packaging — немає даних |
| 0/5 | Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
| 0/5 | SAST — SAST tool is not run on all commits -- score normalized to 0 |
| 0/5 | Security-Policy — security policy file not detected |
| 0/7.5 | Signed-Releases — немає даних |
| 0/7.5 | Token-Permissions — detected GitHub workflow tokens with excessive permissions |
| 7.5/7.5 | Vulnerabilities — 0 existing vulnerabilities detected |
Використані вхідні дані
| source | openssf_scorecard |
| checks_evaluated | 15 |
| scorecard_version | v5.5.0 |
| checks_inconclusive | 3 |
| scorecard_aggregate | 4,4 |
Виключено з оцінювання (немає даних або не застосовно): branch_protection, packaging, signed_releases. Залишкові ваги перенормовано.
Сповіщення про залежності
100Винятковий
Як обчислюється оцінка
| 35/35 | Прямі залежності без відомих сповіщень — жодна пряма залежність не має відомих сповіщень |
| 25/25 | Непрямі залежності без відомих сповіщень — жодна непряма залежність не має відомих сповіщень |
| 0/40 | Немає задавнених сповіщень — жодне сповіщення не має дати публікації |
Використані вхідні дані
| source | osv |
| advisories | 0 |
| affected_packages | 0 |
| assessed_packages | 1 |
| unassessed_packages | 0 |
| affected_by_severity | none |
| direct_affected_packages | 0 |
Виключено з оцінювання (немає даних або не застосовно): Немає задавнених сповіщень. Залишкові ваги перенормовано. Звірено з runtime-замиканням залежностей pypi:pydatastructs@1.2.3 — тим, що тягне за собою встановлення опублікованого пакета, — 1 пакетів. 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.
42
Контекст і настанови для агентів
40Слабкий
Як обчислюється оцінка
| 0/45 | Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора |
| 0/15 | Машиночитана документація (llms.txt) |
| 40/40 | Читабельна історія комітів — намір зазначено у 88 з 100 людських комітів (структурований заголовок або пояснювальний текст) |
Використані вхідні дані
| has_llms_txt | ні |
| legible_history_share | 0,88 |
| agent_instruction_files | — |
| agent_instruction_max_bytes | — |
Як обчислюється оцінка
| 18/18 | Розгортання однією командою — docs/Makefile |
| 22/22 | Автоматизовані тести |
| 0/11 | Конфігурація лінтера / форматера |
| 0/11 | Статична перевірка типів |
| 0/10 | Відтворюване середовище |
| 0/10 | Підтверджена практика роботи з агентами — серед останніх 100 комітів немає створених агентом |
| 0/8 | Автоматизоване супроводження — автоматичних оновлень залежностей не виявлено |
| 0/10 | OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0 |
Використані вхідні дані
| has_nix | ні |
| has_tests | так |
| lockfiles | — |
| has_dockerfile | ні |
| typed_language | ні |
| bootstrap_files | docs/Makefile |
| has_devcontainer | ні |
| has_linter_config | ні |
| typecheck_configs | — |
| agent_commit_share | 0 |
| toolchain_manifests | — |
| dependency_bot_commit_share | 0 |
Читабельність коду для моделей
54Помірний
Як обчислюється оцінка
| 0/45 | Типізований код — Python без конфігурації перевірки типів |
| 54.5/55 | Керовані розміри файлів — 1/119 файлів вихідного коду понад 60 КБ |
Використані вхідні дані
| primary_language | Python |
| largest_source_bytes | 65 049 |
| source_files_sampled | 119 |
| oversized_source_files | 1 |
Машиночитні інтерфейси
40Слабкий
Як обчислюється оцінка
| 0/40 | Схема API (OpenAPI/GraphQL/proto) |
| 0/20 | Сервер MCP |
| 40/40 | Придатні до запуску приклади — notebooks |
Використані вхідні дані
| example_dirs | notebooks |
| has_mcp_signal | ні |
| api_schema_files | — |
Ключові факти
212зірок GitHub
59контриб'юторів
9комітів за останні 12 місяців
281днів від останнього пушу
3релізів
3бас-фактор
98відкритих issue
PyPIпакетних екосистем
Попередження щодо збору даних
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- pypi package 'pydatastructs' points at a different repository (https://github.com/yoshiohasegawa/python-data-structures); excluded from ecosystem scoring
Докладніше
Історія зірок і форків 0 ★ / 316 ⇿
0Зірки
316Форки
3Релізи
Коли додано кожну зірку й форк — зібрано з GitHub і згруповано за днями. Кумулятивне зростання розміщено просто над денними додаваннями, з яких воно складається, тож їх видно одне проти одного: рівномірне органічне накопичення виглядає зовсім інакше, ніж різкий короткочасний сплеск. Там, де цю різницю можна виміряти, її подано як автентичність росту.
Мажорні 0Мінорні 0Патчі 1
Кожна точка охоплює 7 днів.
OpenSSF Scorecard 4.4 / 10
4.4сукупно
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 |
| 5 | CI-Tests | 15 out of 30 merged PRs checked by a CI test -- score normalized to 5 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 9 | Code-Review | Found 28/30 approved changesets -- score normalized to 9 |
| 10 | Contributors | project has 18 contributing companies or organizations |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 9 | License | license file detected |
| 0 | Maintained | 0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0 |
| н/д | Packaging | packaging workflow not detected |
| 0 | Pinned-Dependencies | dependency not pinned by hash detected -- score normalized to 0 |
| 0 | SAST | SAST tool is not run on all commits -- score normalized to 0 |
| 0 | Security-Policy | security policy file not detected |
| н/д | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Усі залежності 9
Повний розв'язаний набір залежностей із графа залежностей GitHub: 0 прямих і 9 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
| Реєстр | Пакет | Версія | Зв'язок |
|---|---|---|---|
| PyPI | codecov | — | непряма |
| PyPI | llvmlite | — | непряма |
| PyPI | meson | — | непряма |
| PyPI | myst-nb | 0.17.2 | непряма |
| PyPI | pytest | — | непряма |
| PyPI | pytest-cov | — | непряма |
| PyPI | sphinx | 5.0 | непряма |
| PyPI | sphinx-readable-theme | 1.3.0 | непряма |
| PyPI | spin | — | непряма |
Сповіщення про залежності 0
Встановлення pypi:pydatastructs@1.2.3 тягне 1 пакетів, прямих і транзитивних: 0 мають відомі сповіщення, з них 0 — прямі залежності.
Жодне відоме сповіщення не стосується оцінених залежностей.
Сповіщення означає, що версія, записана в графі залежностей, потрапляє в уражений діапазон. Досяжність не аналізується, а граф містить піниї розробки й тестування — знахідка може стосуватися інструментів, а не поставленого коду.
Звіт у форматі JSON машиночитний
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"has_code_of_conduct": true,
"readme_badge_services": [],
"has_pull_request_template": true
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 22.5,
"status": "met",
"details": [],
"max_points": 22.5
},
{
"key": "license",
"name": "License",
"detail": "license file present, not a recognized license",
"points": 16.9,
"status": "partial",
"details": [
{
"code": "license_custom",
"params": {}
}
],
"max_points": 22.5
},
{
"key": "contributing_guide",
"name": "CONTRIBUTING guide",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 18
},
{
"key": "code_of_conduct",
"name": "Code of conduct",
"detail": null,
"points": 13.5,
"status": "met",
"details": [],
"max_points": 13.5
},
{
"key": "issue_template",
"name": "Issue template",
"detail": null,
"points": 7.2,
"status": "met",
"details": [],
"max_points": 7.2
},
{
"key": "pr_template",
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"detail": null,
"points": 6.3,
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"details": [],
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]
},
{
"key": "ecosystem_adoption",
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"name": "Ecosystem adoption (downloads)",
"note": "Excluded from scoring (no data or not applicable): Registry dependents. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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}
},
{
"code": "weights_renormalized",
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}
],
"value": 34,
"inputs": {
"packages": [
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"dependents": null,
"ecosystems": "pypi",
"total_downloads": null,
"monthly_downloads": 102
},
"components": [
{
"key": "monthly_downloads",
"name": "Monthly downloads",
"detail": "102 downloads/month across pypi",
"points": 26.8,
"status": "partial",
"details": [
{
"code": "downloads_monthly",
"params": {
"count": 102,
"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",
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],
"max_points": 20
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]
}
],
"description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
},
{
"key": "governance",
"band": "good",
"name": "Sustainability & Governance",
"value": 65,
"weight": 0.23,
"metrics": [
{
"key": "maintainer_resilience",
"band": "good",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
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"inputs": {
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"contributors_sampled": 59,
"top_contributor_share": 0.408
},
"components": [
{
"key": "bus_factor",
"name": "Bus factor",
"detail": "3 contributor(s) cover half of all commits",
"points": 36,
"status": "partial",
"details": [
{
"code": "bus_factor",
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}
],
"max_points": 54
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{
"key": "commit_distribution",
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"detail": "top contributor authored 41% of commits",
"points": 13.3,
"status": "partial",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 41
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}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "59 contributors",
"points": 13.5,
"status": "met",
"details": [
{
"code": "contributors_sampled",
"params": {
"count": 59
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}
],
"max_points": 13.5
},
{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "project has 18 contributing companies or organizations",
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "good",
"name": "Issue & PR responsiveness",
"note": "Excluded from scoring (no data or not applicable): Newcomer PR acceptance. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"newcomer_pr_acceptance"
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}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 68,
"inputs": {
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"open_issues": 98,
"closed_issues": 177,
"prs_merged_7d": null,
"prs_decided_7d": null,
"prs_merged_30d": null,
"prs_decided_30d": null,
"issue_closed_ratio": 0.644,
"closed_unmerged_prs": 133,
"first_time_authors_30d": null,
"first_time_prs_merged_30d": null,
"first_time_prs_decided_30d": null
},
"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "64% of issues closed",
"points": 27,
"status": "partial",
"details": [
{
"code": "issues_closed_share",
"params": {
"share": 64
}
}
],
"max_points": 42
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "230/363 decided PRs merged",
"points": 19,
"status": "partial",
"details": [
{
"code": "decided_prs_merged",
"params": {
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"decided": 363
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}
],
"max_points": 30
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{
"key": "newcomer_pr_acceptance",
"name": "Newcomer PR acceptance",
"detail": "no first-time contributor's PR decided in 30d",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_newcomer_prs",
"params": {
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}
],
"max_points": 13
},
{
"key": "openssf_scorecard_code_review",
"name": "OpenSSF Scorecard: Code-Review",
"detail": "Found 28/30 approved changesets -- score normalized to 9",
"points": 13.5,
"status": "partial",
"details": [],
"max_points": 15
}
]
},
{
"key": "stewardship",
"band": "moderate",
"name": "Ownership & stewardship",
"note": null,
"notes": [],
"value": 54,
"inputs": {
"followers": 6,
"owner_type": "Organization",
"is_verified": null,
"owner_login": "codezonediitj",
"public_repos": 6,
"account_age_days": 2650
},
"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
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{
"key": "verified_domain",
"name": "Verified domain",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "owner_reach",
"name": "Owner reach",
"detail": "6 followers of codezonediitj",
"points": 6.1,
"status": "partial",
"details": [
{
"code": "owner_followers",
"params": {
"count": 6,
"login": "codezonediitj"
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}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "6 public repos, account ~7 yr old",
"points": 18.2,
"status": "partial",
"details": [
{
"code": "public_repos",
"params": {
"count": 6
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},
{
"code": "account_age_years",
"params": {
"years": 7
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}
],
"max_points": 25
}
]
},
{
"key": "package_maintenance",
"band": "moderate",
"name": "Package maintenance",
"note": null,
"notes": [],
"value": 61,
"inputs": {
"packages": [
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],
"ecosystems": "pypi",
"any_deprecated": false,
"min_days_since_publish": 1719
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"components": [
{
"key": "published_resolvable",
"name": "Published & resolvable",
"detail": "1 package(s) on pypi",
"points": 25,
"status": "met",
"details": [
{
"code": "packages_published",
"params": {
"count": 1,
"ecosystems": "pypi"
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}
],
"max_points": 25
},
{
"key": "publish_recency",
"name": "Publish recency",
"detail": "latest publish 1719 days ago",
"points": 4,
"status": "partial",
"details": [
{
"code": "publish_recency",
"params": {
"days": 1719
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}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "3 published versions",
"points": 12,
"status": "partial",
"details": [
{
"code": "published_versions",
"params": {
"count": 3
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}
],
"max_points": 20
},
{
"key": "not_deprecated",
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"detail": "active, not deprecated or yanked",
"points": 20,
"status": "met",
"details": [
{
"code": "package_not_deprecated",
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}
],
"max_points": 20
}
]
}
],
"description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
},
{
"key": "engineering",
"band": "good",
"name": "Engineering Quality",
"value": 78,
"weight": 0.19,
"metrics": [
{
"key": "engineering_practices",
"band": "moderate",
"name": "Engineering practices",
"note": null,
"notes": [],
"value": 64,
"inputs": {
"has_ci": true,
"has_tests": true,
"has_editorconfig": true,
"has_linter_config": false,
"has_precommit_config": false
},
"components": [
{
"key": "ci_workflows",
"name": "CI workflows",
"detail": "1 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
"params": {
"count": 1
}
}
],
"max_points": 24
},
{
"key": "tests_present",
"name": "Tests present",
"detail": null,
"points": 24,
"status": "met",
"details": [],
"max_points": 24
},
{
"key": "linter_config",
"name": "Linter config",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 16
},
{
"key": "pre_commit_hooks",
"name": "Pre-commit hooks",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 9.6
},
{
"key": "editorconfig",
"name": ".editorconfig",
"detail": null,
"points": 6.4,
"status": "met",
"details": [],
"max_points": 6.4
},
{
"key": "openssf_scorecard_ci_tests",
"name": "OpenSSF Scorecard: CI-Tests",
"detail": "15 out of 30 merged PRs checked by a CI test -- score normalized to 5",
"points": 10,
"status": "partial",
"details": [],
"max_points": 20
}
]
},
{
"key": "documentation",
"band": "exceptional",
"name": "Documentation",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"topics": [
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"algorithms",
"algorithms-and-data-structures",
"sports-programming",
"computer-science",
"python3",
"hacktoberfest",
"closember"
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"has_wiki": true,
"homepage": "https://pydatastructs.readthedocs.io/en/stable/",
"has_readme": true,
"has_docs_dir": true,
"has_description": true
},
"components": [
{
"key": "readme",
"name": "README",
"detail": null,
"points": 30,
"status": "met",
"details": [],
"max_points": 30
},
{
"key": "documentation_directory",
"name": "Documentation directory",
"detail": null,
"points": 25,
"status": "met",
"details": [],
"max_points": 25
},
{
"key": "documentation_homepage_site",
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"detail": "https://pydatastructs.readthedocs.io/en/stable/",
"points": 15,
"status": "met",
"details": [],
"max_points": 15
},
{
"key": "repository_description",
"name": "Repository description",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
},
{
"key": "topics",
"name": "Topics",
"detail": "8 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
"params": {
"count": 8
}
}
],
"max_points": 10
},
{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 10,
"status": "met",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "moderate",
"name": "Security",
"value": 55,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "weak",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): Branch-Protection, Packaging, Signed-Releases. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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"packaging",
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}
},
{
"code": "weights_renormalized",
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],
"value": 44,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 15,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 3,
"scorecard_aggregate": 4.4
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"components": [
{
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"detail": "no binaries found in the repo",
"points": 7.5,
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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
},
{
"key": "ci_tests",
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"points": 1.2,
"status": "partial",
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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": 6.8,
"status": "partial",
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},
{
"key": "contributors",
"name": "Contributors",
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"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": [],
"max_points": 10
},
{
"key": "dependency_update_tool",
"name": "Dependency-Update-Tool",
"detail": "no update tool detected",
"points": 0,
"status": "missed",
"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": 2.2,
"status": "partial",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "0 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "packaging",
"name": "Packaging",
"detail": "packaging workflow not detected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 5
},
{
"key": "pinned_dependencies",
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"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "sast",
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"detail": "SAST tool is not run on all commits -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "security_policy",
"name": "Security-Policy",
"detail": "security policy file not detected",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
"name": "Signed-Releases",
"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "0 existing vulnerabilities detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
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"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:pydatastructs@1.2.3 runtime dependency closure — what installing the published package pulls in — 1 packages. Reachability is not analyzed.",
"notes": [
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"code": "excluded_no_data",
"params": {
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}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_published",
"params": {
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"assessed": 1
}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
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"advisories": 0,
"affected_packages": 0,
"assessed_packages": 1,
"unassessed_packages": 0,
"affected_by_severity": "none",
"direct_affected_packages": 0
},
"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "no direct dependency carries a known advisory",
"points": 35,
"status": "met",
"details": [
{
"code": "no_direct_advisories",
"params": {}
}
],
"max_points": 35
},
{
"key": "indirect_dependencies_free_of_known_advisories",
"name": "Indirect dependencies free of known advisories",
"detail": "no indirect dependency carries a known advisory",
"points": 25,
"status": "met",
"details": [
{
"code": "no_indirect_advisories",
"params": {}
}
],
"max_points": 25
},
{
"key": "no_advisories_left_outstanding",
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"detail": "no advisory carries a publication date",
"points": 0,
"status": "excluded",
"details": [
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"code": "advisories_no_publication_date",
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}
],
"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": 1,
"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",
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}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
"band": "exceptional",
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"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",
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}
],
"value": 100,
"inputs": {
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"min_commit_share": 0.1
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"review_only_matches": 0,
"below_threshold_exposures": [],
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},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
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"details": [
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"code": "jurisdiction_no_match",
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}
],
"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": "weak",
"name": "AI Readiness",
"value": 42,
"weight": 0.04,
"metrics": [
{
"key": "ai_agent_context",
"band": "weak",
"name": "Agent context & guidance",
"note": null,
"notes": [],
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"inputs": {
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"agent_instruction_files": [],
"agent_instruction_max_bytes": null
},
"components": [
{
"key": "agent_instructions",
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"detail": "no CLAUDE.md / AGENTS.md / editor rules",
"points": 0,
"status": "missed",
"details": [
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"code": "no_agent_instructions",
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],
"max_points": 45
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"inputs": {
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{
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{
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],
"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": {
"labels": [
"library"
],
"scores": {
"library": 6
},
"primary": "library",
"evidence": [
{
"tier": "distribution",
"label": "library",
"source": "registry:pypi",
"weight": 6
}
],
"artifacts": [],
"confidence": "medium",
"host_extension": false,
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},
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},
"warnings": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"pypi package 'pydatastructs' points at a different repository (https://github.com/yoshiohasegawa/python-data-structures); excluded from ecosystem scoring"
],
"report_type": "repository",
"generated_at": "2026-07-31T06:59:53.182507Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/c/codezonediitj/pydatastructs.svg",
"full_name": "codezonediitj/pydatastructs",
"license_state": "custom",
"license_spdx": null
}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 v2.3.1, схема v0.27.0 — повна методологія · вікі метрик.
Як окремий результат виглядає на тлі всього реєстру: сукупна статистика — PyPI.