Публічний реєстрПомірний
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 1.13.0 · 2026-07-26 07:04 UTC
dralgroup / mlatom
AI-enhanced computational chemistry
dralgroup/mlatom має індекс здоров’я 56 зі 100, що відповідає смузі «Помірний». Найвищий показник — Vitality (75/100), найнижчий — AI Readiness (40/100). Останнє оновлення було 11 днів тому. Більшість нещодавньої роботи виконує один учасник.
56
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.
56
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
Pavlo O. Dral & groupОсобистий обліковий запис
70 підписників24 публічні репозиторіїз лют. 2022 р.Xiamen University
Цей репозиторій належить особистому обліковому запису. Проєкт з єдиним власником несе більший ризик безперервності, ніж підтримуваний організацією.
Пакетні екосистеми
| Реєстр | Пакет | Версія | Завантажень / міс | Версії | Остання публікація |
|---|---|---|---|---|---|
| PyPI | mlatomвказує на інший репозиторій — не оцінюється | 3.23.4 | - | 60 | 11 днів тому |
Метрики за категоріями
Життєздатність
Чи живий проєкт — чи пишеться код і чи виходять релізи?
75
Активність розробки
58Помірний
Як обчислюється оцінка
| 28.8/36 | Свіжість push — останній push 11 дн. тому |
| 6.2/36 | Ритм комітів — 9/52 тижнів із комітами |
| 13.3/18 | Обсяг комітів — 29 комітів за останній рік |
| 10/10 | OpenSSF Scorecard: Maintained — 14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
Використані вхідні дані
| commits_last_year | 29 |
| human_commit_share | 1 |
| days_since_last_push | 11 |
| active_weeks_last_year | 9 |
Дисципліна релізів
100Відмінний
Як обчислюється оцінка
| 27/27 | Випускає релізи — опубліковано 38 релізів |
| 36/36 | Свіжість релізів — останній реліз 11 дн. тому |
| 27/27 | Ритм релізів — реліз кожні ~0,1 дн. |
| 0/10 | OpenSSF Scorecard: Signed-Releases — немає даних |
Використані вхідні дані
| releases_count | 38 |
| latest_release_tag | v3.23.4 |
| releases_from_tags | ні |
| days_since_latest_release | 11 |
| mean_days_between_releases | 0,1 |
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?
65
Популярність і впровадження
48У зоні ризику
Як обчислюється оцінка
| 35.4/60 | Зірки — 153 зірок |
| 10.8/25 | Форки — 21 форків |
| 1.7/15 | Спостерігачі — 3 спостерігачів |
Використані вхідні дані
| forks | 21 |
| stars | 153 |
| watchers | 3 |
| growth_state | unverified |
| growth_factor_pct | 100 |
| growth_unverified_reason | no_history |
Здоров'я спільноти
85Відмінний
Як обчислюється оцінка
| 22.5/22.5 | README |
| 22.5/22.5 | Ліцензія — визнана ліцензія (Apache-2.0) |
| 18/18 | Настанови CONTRIBUTING |
| 13.5/13.5 | Кодекс поведінки |
| 0/7.2 | Шаблон issue |
| 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 | так |
| has_pull_request_template | ні |
Сталість та врядування
Чи переживе проєкт своїх людей — бас-фактор, реактивність, хто за ним стоїть і як супроводжуються пакети?
46
Стійкість мейнтейнерів (бас-фактор)
23Критичний
Як обчислюється оцінка
| 9/54 | Бас-фактор — на 1 контриб’ютор(ів) припадає половина всіх комітів |
| 5.3/22.5 | Розподіл комітів — головний контриб’ютор — автор 77% комітів |
| 5.4/13.5 | Широта контриб’юторів — 4 контриб’юторів |
| 3/10 | OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
Використані вхідні дані
| bus_factor | 1 |
| contributors_sampled | 4 |
| top_contributor_share | 0,766 |
Реактивність на issue та PR
68Помірний
Як обчислюється оцінка
| 29.2/46.8 | Вирішення issue — закрито 62% issue |
| 36.3/38.3 | Прийняття PR — злито 38/40 вирішених PR |
| 3/15 | OpenSSF Scorecard: Code-Review — Found 6/24 approved changesets -- score normalized to 2 |
Використані вхідні дані
| merged_prs | 38 |
| open_issues | 3 |
| closed_issues | 5 |
| issue_closed_ratio | 0,625 |
| closed_unmerged_prs | 2 |
Власність та опіка
53Помірний
Як обчислюється оцінка
| 10/30 | Підтримка власника — особистий (користувацький) обліковий запис |
| 0/20 | Верифікований домен — не застосовно до користувацьких облікових записів |
| 13.3/25 | Охоплення власника — 70 підписників у dralgroup |
| 19/25 | Послужний список — 24 публічних репозиторіїв, вік облікового запису ~4 р. |
Використані вхідні дані
| followers | 70 |
| owner_type | User |
| is_verified | — |
| owner_login | dralgroup |
| public_repos | 24 |
| account_age_days | 1 620 |
Виключено з оцінювання (немає даних або не застосовно): Верифікований домен. Залишкові ваги перенормовано.
Інженерна якість
Чи наявні базові інженерні практики та документація?
44
Інженерні практики
24Критичний
Як обчислюється оцінка
| 24/24 | Процеси CI — 1 процес(ів) CI |
| 0/24 | Наявні тести |
| 0/16 | Конфігурація лінтера |
| 0/9.6 | Pre-commit-хуки |
| 0/6.4 | .editorconfig |
| 0/20 | OpenSSF Scorecard: CI-Tests — 0 out of 6 merged PRs checked by a CI test -- score normalized to 0 |
Використані вхідні дані
| has_ci | так |
| has_tests | ні |
| has_editorconfig | ні |
| has_linter_config | ні |
| has_precommit_config | ні |
Документація
75Добрий
Як обчислюється оцінка
| 30/30 | README |
| 0/25 | Каталог документації |
| 15/15 | Сайт документації / домашня сторінка — http://mlatom.com |
| 10/10 | Опис репозиторію |
| 10/10 | Теми — 11 тем |
| 10/10 | Wiki |
Використані вхідні дані
| topics | artificial-intelligence, computational-chemistry, machine-learning, machine-learning-potential, quantum-chemistry, quantum-chemistry-programs, quantum-mechanics, deep-learning, kernel-method, kernel-ridge-regression, neural-network |
| has_wiki | так |
| homepage | http://mlatom.com |
| has_readme | так |
| has_docs_dir | ні |
| has_description | так |
Безпека
Чи міцні видимі практики безпеки й ланцюга постачання, без непослабленої пов’язаності з юрисдикціями високого ризику?
49
Стан безпеки
45У зоні ризику
Як обчислюється оцінка
| 3.8/7.5 | Binary-Artifacts — binaries present in source code |
| 0/7.5 | Branch-Protection — немає даних |
| 0/2.5 | CI-Tests — 0 out of 6 merged PRs checked by a CI test -- score normalized to 0 |
| 0/2.5 | CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected |
| 1.5/7.5 | Code-Review — Found 6/24 approved changesets -- score normalized to 2 |
| 0.8/2.5 | Contributors — project has 1 contributing companies or organizations -- score normalized to 3 |
| 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 |
| 2.5/2.5 | Ліцензія — license file detected |
| 7.5/7.5 | Maintained — 14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 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 |
| 5/5 | Security-Policy — security policy file 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 | 4,5 |
Виключено з оцінювання (немає даних або не застосовно): branch_protection, packaging, signed_releases. Залишкові ваги перенормовано.
Сповіщення про залежності
64Помірний
Як обчислюється оцінка
| 6.6/35 | Прямі залежності без відомих сповіщень — уражено 2: torch 2.1.2 (critical 9.8), setuptools 80.10.2 (moderate 6.1) |
| 25/25 | Непрямі залежності без відомих сповіщень — жодна непряма залежність не має відомих сповіщень |
| 32.1/40 | Немає задавнених сповіщень — 1 пакет(ів) зі сповіщеннями без реакції понад 90 дн.; найдавніше опубліковано 829 дн. тому |
Використані вхідні дані
| source | osv |
| advisories | 30 |
| affected_packages | 2 |
| assessed_packages | 55 |
| unassessed_packages | 0 |
| affected_by_severity | critical 1, moderate 1 |
| direct_affected_packages | 2 |
Звірено з runtime-замиканням залежностей pypi:mlatom@3.23.4 — тим, що тягне за собою встановлення опублікованого пакета, — 55 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.
40
Контекст і настанови для агентів
65Помірний
Як обчислюється оцінка
| 45/45 | Інструкції для агентів — AGENTS.md |
| 0/15 | Машиночитана документація (llms.txt) |
| 20.3/40 | Читабельна історія комітів — намір зазначено у 38 з 100 людських комітів (структурований заголовок або пояснювальний текст) |
Використані вхідні дані
| has_llms_txt | ні |
| legible_history_share | 0,38 |
| agent_instruction_files | AGENTS.md |
| agent_instruction_max_bytes | 2 804 |
Як обчислюється оцінка
| 18/18 | Розгортання однією командою — mlatom/MLatomF_src/Makefile |
| 0/22 | 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 | ні |
| lockfiles | — |
| has_dockerfile | ні |
| typed_language | ні |
| bootstrap_files | mlatom/MLatomF_src/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
50Помірний
Як обчислюється оцінка
| 0/45 | Типізований код — Python без конфігурації перевірки типів |
| 50.2/55 | Керовані розміри файлів — 9/103 файлів вихідного коду понад 60 КБ |
Використані вхідні дані
| primary_language | Python |
| largest_source_bytes | 195 102 |
| source_files_sampled | 103 |
| oversized_source_files | 9 |
Ключові факти
153зірок GitHub
4контриб'юторів
29комітів за останні 12 місяців
11днів від останнього пушу
38релізів
1бас-фактор
3відкритих issue
PyPIпакетних екосистем
Попередження щодо збору даних
- Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
- pypi package 'mlatom' points at a different repository (http://mlatom.com); excluded from ecosystem scoring
Докладніше
Історія зірок і форків 0 ★ / 21 ⇿
0Зірки
21Форки
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.
Кожна точка охоплює 3 днів.
OpenSSF Scorecard 4.5 / 10
4.5сукупно
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).
| 5 | Binary-Artifacts | binaries present in source code |
| 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 |
| 0 | CI-Tests | 0 out of 6 merged PRs checked by a CI test -- score normalized to 0 |
| 0 | CII-Best-Practices | no effort to earn an OpenSSF best practices badge detected |
| 2 | Code-Review | Found 6/24 approved changesets -- score normalized to 2 |
| 3 | Contributors | project has 1 contributing companies or organizations -- score normalized to 3 |
| 10 | Dangerous-Workflow | no dangerous workflow patterns detected |
| 0 | Dependency-Update-Tool | no update tool detected |
| 0 | Fuzzing | project is not fuzzed |
| 10 | License | license file detected |
| 10 | Maintained | 14 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10 |
| 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 |
| 10 | Security-Policy | security policy file detected |
| н/д | Signed-Releases | no releases found |
| 0 | Token-Permissions | detected GitHub workflow tokens with excessive permissions |
| 10 | Vulnerabilities | 0 existing vulnerabilities detected |
Прямі залежності 14
| Реєстр | Пакет | Обмеження версії | Маніфест |
|---|---|---|---|
| PyPI | numpy | <2 | pyproject.toml |
| PyPI | scipy | — | pyproject.toml |
| PyPI | h5py | — | pyproject.toml |
| PyPI | pyh5md | — | pyproject.toml |
| PyPI | torch | ==2.1.2 | pyproject.toml |
| PyPI | torchani | ==2.2.3 | pyproject.toml |
| PyPI | setuptools | <81 | pyproject.toml |
| PyPI | matplotlib | — | pyproject.toml |
| PyPI | statsmodels | — | pyproject.toml |
| PyPI | tqdm | — | pyproject.toml |
| PyPI | joblib | — | pyproject.toml |
| PyPI | requests | — | pyproject.toml |
| PyPI | psutil | — | pyproject.toml |
| PyPI | geometric | — | pyproject.toml |
Усі залежності 4
Повний розв'язаний набір залежностей із графа залежностей GitHub: 4 прямих і 0 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
| Реєстр | Пакет | Версія | Зв'язок |
|---|---|---|---|
| PyPI | numpy | — | пряма |
| PyPI | setuptools | — | пряма |
| PyPI | torch | 2.1.2 | пряма |
| PyPI | torchani | 2.2.3 | пряма |
Сповіщення про залежності 2
Встановлення pypi:mlatom@3.23.4 тягне 55 пакетів, прямих і транзитивних: 2 мають відомі сповіщення, з них 2 — прямі залежності.
| Пакет | Версія | Зв'язок | Критичність | Сповіщень | Виправлено в |
|---|---|---|---|---|---|
| torch | 2.1.2 | пряма | критична | 28 | 2.13.0 |
| setuptools | 80.10.2 | пряма | помірна | 2 | 83.0.0 |
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
{
"data": {
"repo": {
"topics": [
"artificial-intelligence",
"computational-chemistry",
"machine-learning",
"machine-learning-potential",
"quantum-chemistry",
"quantum-chemistry-programs",
"quantum-mechanics",
"deep-learning",
"kernel-method",
"kernel-ridge-regression",
"neural-network"
],
"is_fork": false,
"size_kb": 207535,
"has_wiki": true,
"homepage": "http://mlatom.com",
"languages": {
"C++": 2360,
"Julia": 22288,
"Shell": 982,
"Python": 2163931,
"Fortran": 478446,
"Gnuplot": 174,
"Makefile": 2507
},
"pushed_at": "2026-07-15T00:35:28Z",
"created_at": "2023-08-16T13:47:48Z",
"owner_type": "User",
"updated_at": "2026-07-18T07:37:12Z",
"description": "AI-enhanced computational chemistry",
"is_archived": false,
"is_disabled": false,
"license_spdx": "Apache-2.0",
"default_branch": "main",
"license_spdx_raw": "Apache-2.0",
"primary_language": "Python",
"significant_languages": [
"Python",
"Fortran"
]
},
"owner": {
"blog": "http://dr-dral.com",
"name": "Pavlo O. Dral & group",
"type": "User",
"login": "dralgroup",
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"inputs": {
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],
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{
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"metrics": [
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{
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{
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"inputs": {
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{
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"details": [
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"code": "license_standard",
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{
"code": "license_spdx",
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],
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{
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{
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},
{
"key": "issue_template",
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{
"key": "pr_template",
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],
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},
{
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{
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{
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],
"max_points": 13.5
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{
"key": "openssf_scorecard_contributors",
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"points": 3,
"status": "partial",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
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"notes": [],
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"closed_unmerged_prs": 2
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"components": [
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"points": 29.2,
"status": "partial",
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}
],
"max_points": 46.75
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{
"key": "pr_acceptance",
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{
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]
},
{
"key": "stewardship",
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"notes": [
{
"code": "excluded_no_data",
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{
"code": "weights_renormalized",
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],
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"inputs": {
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"components": [
{
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}
],
"max_points": 30
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{
"key": "verified_domain",
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"status": "excluded",
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{
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"points": 13.3,
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{
"key": "track_record",
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"points": 19,
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"code": "public_repos",
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},
{
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]
}
],
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},
{
"key": "engineering",
"band": "at_risk",
"name": "Engineering Quality",
"value": 44,
"weight": 0.2,
"metrics": [
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"key": "engineering_practices",
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"note": null,
"notes": [],
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"components": [
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"details": [
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}
],
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{
"key": "tests_present",
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"points": 0,
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"details": [],
"max_points": 24
},
{
"key": "linter_config",
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"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 16
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{
"key": "pre_commit_hooks",
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"points": 0,
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{
"key": "editorconfig",
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{
"key": "openssf_scorecard_ci_tests",
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"status": "missed",
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]
},
{
"key": "documentation",
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"note": null,
"notes": [],
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"inputs": {
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"components": [
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{
"key": "documentation_directory",
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{
"key": "documentation_homepage_site",
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"details": [],
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{
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"points": 10,
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{
"key": "topics",
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{
"key": "wiki",
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"max_points": 10
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]
}
],
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{
"key": "security",
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"name": "Security",
"value": 49,
"weight": 0.16,
"metrics": [
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"key": "security_posture",
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"code": "weights_renormalized",
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"inputs": {
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{
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{
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"status": "missed",
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{
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{
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"points": 0.8,
"status": "partial",
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{
"key": "dangerous_workflow",
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"details": [],
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},
{
"key": "dependency_update_tool",
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"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",
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"detail": "license file detected",
"points": 2.5,
"status": "met",
"details": [],
"max_points": 2.5
},
{
"key": "maintained",
"name": "Maintained",
"detail": "14 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",
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"detail": "packaging workflow not detected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
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],
"max_points": 5
},
{
"key": "pinned_dependencies",
"name": "Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 5
},
{
"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",
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"detail": "security policy file detected",
"points": 5,
"status": "met",
"details": [],
"max_points": 5
},
{
"key": "signed_releases",
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"detail": "no releases found",
"points": 0,
"status": "excluded",
"details": [
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"code": "no_data",
"params": {}
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],
"max_points": 7.5
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{
"key": "token_permissions",
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"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",
"band": "moderate",
"name": "Dependency advisories",
"note": "Matched the pypi:mlatom@3.23.4 runtime dependency closure — what installing the published package pulls in — 55 packages. Reachability is not analyzed.",
"notes": [
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"code": "advisories_scope_published",
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},
{
"code": "advisories_reachability",
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],
"value": 64,
"inputs": {
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"advisories": 30,
"affected_packages": 2,
"assessed_packages": 55,
"unassessed_packages": 0,
"affected_by_severity": "critical 1, moderate 1",
"direct_affected_packages": 2
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"components": [
{
"key": "direct_dependencies_free_of_known_advisories",
"name": "Direct dependencies free of known advisories",
"detail": "2 affected: torch 2.1.2 (critical 9.8), setuptools 80.10.2 (moderate 6.1)",
"points": 6.6,
"status": "partial",
"details": [
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"code": "advisories_affected",
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}
],
"max_points": 35
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{
"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": [
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"code": "no_indirect_advisories",
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}
],
"max_points": 25
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{
"key": "no_advisories_left_outstanding",
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"status": "partial",
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}
],
"max_points": 40
}
]
},
{
"key": "malicious_dependencies",
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"note": null,
"notes": [],
"value": 100,
"inputs": {
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"direct_malicious_packages": 0,
"withdrawn_malicious_packages": 0,
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"components": [
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"details": [
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"code": "no_malicious_dependencies",
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}
],
"max_points": 100
}
]
},
{
"key": "high_risk_jurisdiction_exposure",
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"name": "High-Risk Jurisdiction Exposure",
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"notes": [
{
"code": "jurisdiction_evidence_limits",
"params": {}
}
],
"value": 100,
"inputs": {
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"exposures": [],
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"review_only_matches": 0,
"assessed_self_published_locations": 2
},
"components": [
{
"key": "policy_exposure_multiplier",
"name": "Policy exposure multiplier",
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"status": "met",
"details": [
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"code": "jurisdiction_no_match",
"params": {}
}
],
"max_points": 100
}
]
}
],
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},
{
"key": "ai_readiness",
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"name": "AI Readiness",
"value": 40,
"weight": 0,
"metrics": [
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"key": "ai_agent_context",
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"notes": [],
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"inputs": {
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"components": [
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"key": "agent_instructions",
"name": "Agent instructions",
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"details": [
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"code": "file_list",
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}
],
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{
"key": "machine_readable_docs_llms_txt",
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"points": 0,
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{
"key": "legible_commit_history",
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"status": "partial",
"details": [
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"code": "legible_history",
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}
],
"max_points": 40
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]
},
{
"key": "ai_verify_loop",
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"notes": [],
"value": 18,
"inputs": {
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],
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"toolchain_manifests": [],
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},
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"detail": "mlatom/MLatomF_src/Makefile",
"points": 18,
"status": "met",
"details": [
{
"code": "file_list",
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}
}
],
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},
{
"key": "automated_tests",
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"points": 0,
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},
{
"key": "lint_format_config",
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},
{
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"points": 0,
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},
{
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"points": 0,
"status": "missed",
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},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
"detail": "no agent-authored commits among the last 100",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_agent_authored_commits",
"params": {
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}
}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "no automated dependency updates observed",
"points": 0,
"status": "missed",
"details": [
{
"code": "no_dependency_automation",
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}
],
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},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
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]
},
{
"key": "ai_code_legibility",
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"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 50,
"inputs": {
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},
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"name": "Type-checkable code",
"detail": "Python without a type-check config",
"points": 0,
"status": "missed",
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{
"code": "no_typecheck_config_language",
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}
}
],
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},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "9/103 source files over 60KB",
"points": 50.2,
"status": "partial",
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{
"code": "oversized_source_files",
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}
]
}
],
"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": [
"Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
"pypi package 'mlatom' points at a different repository (http://mlatom.com); excluded from ecosystem scoring"
],
"report_type": "repository",
"generated_at": "2026-07-26T07:04:13.993018Z",
"schema_version": "0.27.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/d/dralgroup/mlatom.svg",
"full_name": "dralgroup/mlatom",
"license_state": "standard",
"license_spdx": "Apache-2.0"
}Оцінки — це сигнали, а не гарантії. Вони відображають публічно видимі практики на GitHub — це не аудит коду й не гарантія безпеки.
Відсутні дані виключаються, а ваги перенормовуються — нуль за відсутність ніколи не ставиться. Методологія версіонована й відкрита: метрики v1.13.0, схема v0.27.0 — повна методологія · вікі метрик.
Як окремий результат виглядає на тлі всього реєстру: сукупна статистика — PyPI.