Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 1.13.0 · 2026-07-26 08:56 UTC

openscm / scmdata

Handling of Simple Climate Model data

PythonBSD-3-Clause★ 9 зірок⑂ 6 форківз жовт. 2019 р.Переглянути на GitHub ↗

openscm/scmdata має індекс здоров’я 63 зі 100, що відповідає смузі «Помірний». Найвищий показник — Engineering Quality (90/100), найнижчий — Community & Adoption (38/100). Останнє оновлення було 37 днів тому. Більшість нещодавньої роботи виконують 2 учасники.

63
загалом / 100
Помірний

Індекс 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.

63
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)
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.

Власність

OpenSCMОрганізація
21 підписник15 публічних репозиторіївз бер. 2020 р.

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

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікаціяТеги
PyPIscmdata0.19.0-4954 дні томуdatasimple-climate-modelclimatescm

Метрики за категоріями

Життєздатність

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

55Помірний · 22% загального індексу

Активність розробки

41У зоні ризику
Як обчислюється оцінка
18/36Свіжість push — останній push 37 дн. тому
2.8/36Ритм комітів — 4/52 тижнів із комітами
10.6/18Обсяг комітів — 14 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 14 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year14
human_commit_share0,95
days_since_last_push37
active_weeks_last_year4
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 6 релізів
36/36Свіжість релізів — останній реліз 54 дн. тому
12.6/27Ритм релізів — реліз кожні ~191,5 дн.
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Використані вхідні дані
releases_count6
latest_release_tagv0.19.0
releases_from_tagsні
days_since_latest_release54
mean_days_between_releases191,5

Спільнота та впровадження

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

38У зоні ризику · 18% загального індексу
Як обчислюється оцінка
14.6/60Зірки — 9 зірок
5.8/25Форки — 6 форків
1.7/15Спостерігачі — 3 спостерігачів
Використані вхідні дані
forks6
stars9
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Як обчислюється оцінка
22.5/22.5README
22.5/22.5Ліцензія — визнана ліцензія (BSD-3-Clause)
0/18Настанови CONTRIBUTING
0/13.5Кодекс поведінки
0/7.2Шаблон issue
6.3/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
has_contributingні
has_issue_templateні
has_code_of_conductні
has_pull_request_templateтак

Сталість та врядування

Чи переживе проєкт своїх людей — бас-фактор, реактивність, хто за ним стоїть і як супроводжуються пакети?

66Помірний · 24% загального індексу
Як обчислюється оцінка
25.2/54Бас-фактор — на 2 контриб’ютор(ів) припадає половина всіх комітів
11.4/22.5Розподіл комітів — головний контриб’ютор — автор 49% комітів
8.1/13.5Широта контриб’юторів — 6 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 6 contributing companies or organizations
Використані вхідні дані
bus_factor2
contributors_sampled6
top_contributor_share0,494
Як обчислюється оцінка
28.2/46.8Вирішення issue — закрито 60% issue
29.5/38.3Прийняття PR — злито 183/237 вирішених PR
1.5/15OpenSSF Scorecard: Code-Review — Found 1/7 approved changesets -- score normalized to 1
Використані вхідні дані
merged_prs183
open_issues29
closed_issues44
issue_closed_ratio0,603
closed_unmerged_prs54
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
9.7/25Охоплення власника — 21 підписників у openscm
20.8/25Послужний список — 15 публічних репозиторіїв, вік облікового запису ~6 р.
Використані вхідні дані
followers21
owner_typeOrganization
is_verified
owner_loginopenscm
public_repos15
account_age_days2 320

Супровід пакетів

100Відмінний
Як обчислюється оцінка
25/25Опубліковано й доступно — 1 пакет(ів) у pypi
35/35Свіжість публікацій — остання публікація 54 дн. тому
20/20Історія версій — 49 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packagesscmdata
ecosystemspypi
any_deprecatedні
min_days_since_publish54

Інженерна якість

Чи наявні базові інженерні практики та документація?

90Відмінний · 20% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 6 процес(ів) CI
24/24Наявні тести
16/16Конфігурація лінтера — .pylintrc
9.6/9.6Pre-commit-хуки
0/6.4.editorconfig
10/20OpenSSF Scorecard: CI-Tests — 2 out of 4 merged PRs checked by a CI test -- score normalized to 5
Використані вхідні дані
has_ciтак
has_testsтак
has_editorconfigні
has_linter_configтак
has_precommit_configтак

Документація

100Відмінний
Як обчислюється оцінка
30/30README
25/25Каталог документації
15/15Сайт документації / домашня сторінка — https://scmdata.readthedocs.io
10/10Опис репозиторію
10/10Теми — 3 тем
10/10Wiki
Використані вхідні дані
topicsclimate, data, data-visualization
has_wikiтак
homepagehttps://scmdata.readthedocs.io
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

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

61Помірний · 16% загального індексу

Стан безпеки

51Помірний
Як обчислюється оцінка
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — немає даних
1.2/2.5CI-Tests — 2 out of 4 merged PRs checked by a CI test -- score normalized to 5
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0.8/7.5Code-Review — Found 1/7 approved changesets -- score normalized to 1
2.5/2.5Contributors — project has 6 contributing companies or organizations
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 — 14 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — немає даних
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not 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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5,1
Виключено з оцінювання (немає даних або не застосовно): branch_protection, packaging. Залишкові ваги перенормовано.
Як обчислюється оцінка
35/35Прямі залежності без відомих сповіщень — жодна пряма залежність не має відомих сповіщень
25/25Непрямі залежності без відомих сповіщень — жодна непряма залежність не має відомих сповіщень
0/40Немає задавнених сповіщень — жодне сповіщення не має дати публікації
Використані вхідні дані
sourceosv
advisories0
affected_packages0
assessed_packages16
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Виключено з оцінювання (немає даних або не застосовно): Немає задавнених сповіщень. Залишкові ваги перенормовано. Звірено з runtime-замиканням залежностей pypi:scmdata@0.19.0 — тим, що тягне за собою встановлення опублікованого пакета, — 16 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.

57Помірний · 0% загального індексу
Як обчислюється оцінка
0/45Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора
0/15Машиночитана документація (llms.txt)
27.5/40Читабельна історія комітів — намір зазначено у 49 з 95 людських комітів (структурований заголовок або пояснювальний текст)
Використані вхідні дані
has_llms_txtні
legible_history_share0,516
agent_instruction_files
agent_instruction_max_bytes
Як обчислюється оцінка
18/18Розгортання однією командою — Makefile, docs/Makefile
22/22Автоматизовані тести
11/11Конфігурація лінтера / форматера — .pylintrc
11/11Статична перевірка типів — src/scmdata/py.typed
0/10Відтворюване середовище
0/10Підтверджена практика роботи з агентами — серед останніх 100 комітів немає створених агентом
8/8Автоматизоване супроводження — 5 з останніх 100 комітів — автоматичні оновлення залежностей
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Використані вхідні дані
has_nixні
has_testsтак
lockfiles
has_dockerfileні
typed_languageні
bootstrap_filesMakefile, docs/Makefile
has_devcontainerні
has_linter_configтак
typecheck_configssrc/scmdata/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0,05
Як обчислюється оцінка
27/45Типізований код — Python з конфігурацією перевірки типів (src/scmdata/py.typed)
53.1/55Керовані розміри файлів — 2/59 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes126 940
source_files_sampled59
oversized_source_files2

Ключові факти

9зірок GitHub
6контриб'юторів
14комітів за останні 12 місяців
37днів від останнього пушу
6релізів
2бас-фактор
29відкритих issue
PyPIпакетних екосистем

Попередження щодо збору даних

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token

Докладніше

Історія зірок і форків 0 ★ / 6 ⇿
0Зірки
6Форки
5Релізи

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.

123456612021-112024-022026-05
Мажорні 0Мінорні 3Патчі 2

Кожна точка охоплює 5 днів.

OpenSSF Scorecard 5.1 / 10
5.1сукупно

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 · 2026-07-26 08:56 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
5CI-Tests2 out of 4 merged PRs checked by a CI test -- score normalized to 5
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
1Code-ReviewFound 1/7 approved changesets -- score normalized to 1
10Contributorsproject has 6 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained14 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
н/дPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
10Vulnerabilities0 existing vulnerabilities detected
Прямі залежності 22
РеєстрПакетОбмеження версіїМаніфест
PyPIcftime>=1.5pyproject.toml
PyPInumpy*pyproject.toml
PyPIopenscm-units*pyproject.toml
PyPIpackaging*pyproject.toml
PyPIpandas>=1.1pyproject.toml
PyPIpint*pyproject.toml
PyPIpint-pandas*pyproject.toml
PyPIpython-dateutil*pyproject.toml
PyPItqdm*pyproject.toml
PyPIsix*pyproject.toml
PyPIxarray*pyproject.toml
PyPInc-time-axis>=1.2.0pyproject.toml
PyPItyping-extensions*pyproject.toml
PyPImatplotlib>=3.7.1pyproject.toml
PyPIseaborn>=0.12.0pyproject.toml
PyPInetCDF4*pyproject.toml
PyPIopenpyxl*pyproject.toml
PyPIxlrd*pyproject.toml
PyPIscipy*pyproject.toml
PyPIjoblib*pyproject.toml
PyPInotebook>=7pyproject.toml
PyPIpyam-iamc*pyproject.toml
Усі залежності 215

Повний розв'язаний набір залежностей із графа залежностей GitHub: 22 прямих і 193 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPIcftime1.6.5пряма
PyPIjoblib1.5.3пряма
PyPImatplotlib3.10.9пряма
PyPInc-time-axis1.4.1пряма
PyPInetcdf41.7.3пряма
PyPInotebook7.5.6пряма
PyPInumpy2.2.6пряма
PyPIopenpyxl3.1.5пряма
PyPIopenscm-units0.6.3пряма
PyPIpackaging26.2пряма
PyPIpandas2.3.3пряма
PyPIpint0.24.4пряма
PyPIpint-pandas0.7.1пряма
PyPIpyam-iamc1.2.0пряма
PyPIpython-dateutil2.9.0.post0пряма
PyPIscipy1.15.3пряма
PyPIseaborn0.13.2пряма
PyPIsix1.17.0пряма
PyPItqdm4.67.3пряма
PyPItyping-extensions4.15.0пряма
PyPIxarray2025.6.1пряма
PyPIxlrd2.0.2пряма
PyPIalabaster0.7.16непряма
PyPIalembic1.18.4непряма
PyPIannotated-doc0.0.4непряма
PyPIannotated-types0.7.0непряма
PyPIanyio4.13.0непряма
PyPIappnope0.1.4непряма
PyPIargon2-cffi25.1.0непряма
PyPIargon2-cffi-bindings25.1.0непряма
PyPIarrow1.4.0непряма
PyPIasttokens3.0.1непряма
PyPIasync-lru2.3.0непряма
PyPIattrs26.1.0непряма
PyPIbabel2.18.0непряма
PyPIbeautifulsoup44.14.3непряма
PyPIblack23.11.0непряма
PyPIblackdoc0.3.8непряма
PyPIbleach6.3.0непряма
PyPIcertifi2026.5.20непряма
PyPIcffi2.0.0непряма
PyPIcfgv3.5.0непряма
PyPIcharset-normalizer3.4.7непряма
PyPIclick8.4.1непряма
PyPIcolorama0.4.6непряма
PyPIcomm0.2.3непряма
PyPIcontourpy1.3.2непряма
PyPIcoverage7.14.1непряма
PyPIcycler0.12.1непряма
PyPIdebugpy1.8.20непряма
PyPIdecorator5.3.1непряма
PyPIdefusedxml0.7.1непряма
PyPIdistlib0.4.0непряма
PyPIdocutils0.18.1непряма
PyPIet-xmlfile2.0.0непряма
PyPIexceptiongroup1.3.1непряма
PyPIexecuting2.2.1непряма
PyPIfastapi0.136.3непряма
PyPIfastjsonschema2.21.2непряма
PyPIfilelock3.29.0непряма
PyPIflexcache0.3непряма
PyPIflexparser0.4непряма
PyPIfonttools4.63.0непряма
PyPIfqdn1.5.1непряма
PyPIglobalwarmingpotentials0.13.2непряма
PyPIgreenlet3.5.1непряма
PyPIh110.16.0непряма
PyPIh24.3.0непряма
PyPIhpack4.1.0непряма
PyPIhttpcore1.0.9непряма
PyPIhttpx0.28.1непряма
PyPIhyperframe6.1.0непряма
PyPIiam-units2026.5.18непряма
PyPIidentify2.6.19непряма
PyPIidna3.17непряма
PyPIimagesize1.5.0непряма
PyPIimportlib-metadata9.0.0непряма
PyPIincremental24.11.0непряма
PyPIiniconfig2.3.0непряма
PyPIipykernel7.2.0непряма
PyPIipython8.39.0непряма
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Сповіщення про залежності 0

Встановлення pypi:scmdata@0.19.0 тягне 16 пакетів, прямих і транзитивних: 0 мають відомі сповіщення, з них 0 — прямі залежності.

Жодне відоме сповіщення не стосується оцінених залежностей.

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Звіт у форматі JSON машиночитний
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                "key": "openssf_scorecard_contributors",
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                "key": "openssf_scorecard_code_review",
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                "key": "ownership_backing",
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              {
                "key": "verified_domain",
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                "key": "owner_reach",
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              {
                "key": "track_record",
                "name": "Track record",
                "detail": "15 public repos, account ~6 yr old",
                "points": 20.8,
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                  {
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          {
            "key": "package_maintenance",
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            "note": null,
            "notes": [],
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            "inputs": {
              "packages": [
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              "ecosystems": "pypi",
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        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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        ],
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                "key": "contributors",
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              },
              {
                "key": "dependency_update_tool",
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                "key": "fuzzing",
                "name": "Fuzzing",
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              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "14 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10",
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                "detail": "packaging workflow not detected",
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                ],
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                "key": "pinned_dependencies",
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                "detail": "dependency not pinned by hash detected -- score normalized to 0",
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              {
                "key": "sast",
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              {
                "key": "security_policy",
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                "detail": "security policy file not detected",
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              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "Project has not signed or included provenance with any releases.",
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                "details": [],
                "max_points": 7.5
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              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
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              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "0 existing vulnerabilities detected",
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            ]
          },
          {
            "key": "dependency_advisories",
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            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:scmdata@0.19.0 runtime dependency closure — what installing the published package pulls in — 16 packages. Reachability is not analyzed.",
            "notes": [
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                "code": "excluded_no_data",
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              },
              {
                "code": "weights_renormalized",
                "params": {}
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              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:scmdata@0.19.0",
                  "assessed": 16
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 16,
              "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",
                "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": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 16,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 8
            },
            "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,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 28,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.516,
              "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": "49 of 95 human commits state their intent (structured subject or explanatory body)",
                "points": 27.5,
                "status": "partial",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 49,
                      "sampled": 95
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 70,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [
                "Makefile",
                "docs/Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "src/scmdata/py.typed"
              ],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0.05
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "Makefile, docs/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Makefile, docs/Makefile"
                    }
                  }
                ],
                "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": ".pylintrc",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": ".pylintrc"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "src/scmdata/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "src/scmdata/py.typed"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "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": {
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "5 of the last 100 commits are automated dependency updates",
                "points": 8,
                "status": "met",
                "details": [
                  {
                    "code": "dependency_bot_commits",
                    "params": {
                      "count": 5,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 8
              },
              {
                "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",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "good",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 80,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 126940,
              "source_files_sampled": 59,
              "oversized_source_files": 2
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python with type-check config (src/scmdata/py.typed)",
                "points": 27,
                "status": "partial",
                "details": [
                  {
                    "code": "typecheck_config_language",
                    "params": {
                      "files": "src/scmdata/py.typed",
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "2/59 source files over 60KB",
                "points": 53.1,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 59,
                      "oversized": 2
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "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"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-26T08:56:29.889861Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/o/openscm/scmdata.svg",
  "full_name": "openscm/scmdata",
  "license_state": "standard",
  "license_spdx": "BSD-3-Clause"
}

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 статистикаPyPI.