Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 1.14.0 · 2026-08-01 10:54 UTC

datalab-to / marker

Convert PDF to markdown + JSON quickly with high accuracy

PythonApache-2.0★ 38 094 зірки⑂ 2 693 форкиз жовт. 2023 р.Переглянути на GitHub ↗

datalab-to/marker має індекс здоров’я 72 зі 100, що відповідає смузі «Добрий». Найвищий показник — Vitality (87/100), найнижчий — AI Readiness (37/100). Останнє оновлення було 11 днів тому. Більшість нещодавньої роботи виконує один учасник.

72
загалом / 100
Добрий

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.

72
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

DatalabОрганізація
828 підписників12 публічних репозиторіївз лип. 2024 р.

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

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікаціяТеги
PyPImarker-pdf2.0.0521 9878211 днів томуmarkdownnlpocrpdf

Метрики за категоріями

Життєздатність

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

87Відмінний · 22% загального індексу

Активність розробки

79Добрий
Як обчислюється оцінка
28.8/36Свіжість push — останній push 11 дн. тому
22.2/36Ритм комітів — 32/52 тижнів із комітами
18/18Обсяг комітів — 208 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year208
human_commit_share0,74
days_since_last_push11
active_weeks_last_year32

Дисципліна релізів

100Відмінний
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 72 релізів
36/36Свіжість релізів — останній реліз 11 дн. тому
27/27Ритм релізів — реліз кожні ~37,1 дн.
0/10OpenSSF Scorecard: Signed-Releases — немає даних
Використані вхідні дані
releases_count72
latest_release_tagv2.0.0
releases_from_tagsні
days_since_latest_release11
mean_days_between_releases37,1
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?

80Добрий · 18% загального індексу

Популярність і впровадження

97Відмінний
Як обчислюється оцінка
60/60Зірки — 38 094 зірок
25/25Форки — 2 693 форків
11.8/15Спостерігачі — 133 спостерігачів
Використані вхідні дані
forks2 693
stars38 094
watchers133
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history

Здоров'я спільноти

50Помірний
Як обчислюється оцінка
22.5/22.5README
22.5/22.5Ліцензія — визнана ліцензія (Apache-2.0)
0/18Настанови CONTRIBUTING
0/13.5Кодекс поведінки
0/7.2Шаблон issue
0/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
has_contributingні
has_issue_templateні
has_code_of_conductні
has_pull_request_templateні

Впровадження в екосистемі (завантаження)

95Відмінний
Як обчислюється оцінка
76.2/80Щомісячні завантаження — 521 987 завантажень/місяць у pypi
0/20Залежні пакети в реєстрі — ця екосистема цього не повідомляє
Використані вхідні дані
packagesmarker-pdf
dependents—
ecosystemspypi
total_downloads—
monthly_downloads521 987
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?

62Помірний · 24% загального індексу

Стійкість мейнтейнерів (бас-фактор)

42У зоні ризику
Як обчислюється оцінка
9/54Бас-фактор — на 1 контриб’ютор(ів) припадає половина всіх комітів
9/22.5Розподіл комітів — головний контриб’ютор — автор 60% комітів
13.5/13.5Широта контриб’юторів — 26 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Використані вхідні дані
bus_factor1
contributors_sampled26
top_contributor_share0,599

Реактивність на issue та PR

53Помірний
Як обчислюється оцінка
22.1/46.8Вирішення issue — закрито 47% issue
30.7/38.3Прийняття PR — злито 233/290 вирішених PR
0/15OpenSSF Scorecard: Code-Review — Found 0/4 approved changesets -- score normalized to 0
Використані вхідні дані
merged_prs233
open_issues361
closed_issues324
issue_closed_ratio0,473
closed_unmerged_prs57

Власність та опіка

63Помірний
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
21/25Охоплення власника — 828 підписників у datalab-to
12.1/25Послужний список — 12 публічних репозиторіїв, вік облікового запису ~2 р.
Використані вхідні дані
followers828
owner_typeOrganization
is_verified—
owner_logindatalab-to
public_repos12
account_age_days736

Супровід пакетів

100Відмінний
Як обчислюється оцінка
25/25Опубліковано й доступно — 1 пакет(ів) у pypi
35/35Свіжість публікацій — остання публікація 11 дн. тому
20/20Історія версій — 82 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packagesmarker-pdf
ecosystemspypi
any_deprecatedні
min_days_since_publish11

Інженерна якість

Чи наявні базові інженерні практики та документація?

82Добрий · 20% загального індексу

Інженерні практики

94Відмінний
Як обчислюється оцінка
24/24Процеси CI — 4 процес(ів) CI
24/24Наявні тести
16/16Конфігурація лінтера
9.6/9.6Pre-commit-хуки
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 2 out of 2 merged PRs checked by a CI test -- score normalized to 10
Використані вхідні дані
has_ciтак
has_testsтак
has_editorconfigні
has_linter_configтак
has_precommit_configтак

Документація

65Помірний
Як обчислюється оцінка
30/30README
0/25Каталог документації
15/15Сайт документації / домашня сторінка — https://www.datalab.to
10/10Опис репозиторію
0/10Теми
10/10Wiki
Використані вхідні дані
topics—
has_wikiтак
homepagehttps://www.datalab.to
has_readmeтак
has_docs_dirні
has_descriptionтак

Безпека

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

44У зоні ризику · 16% загального індексу

Стан безпеки

38У зоні ризику
Як обчислюється оцінка
7.5/7.5Binary-Artifacts — no binaries found in the repo
2.2/7.5Branch-Protection — branch protection is not maximal on development and all release branches
2.5/2.5CI-Tests — 2 out of 2 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/4 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Ліцензія — license file detected
7.5/7.5Maintained — 30 commit(s) and 1 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 — немає даних
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 29 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate3,8
Виключено з оцінювання (немає даних або не застосовно): packaging, signed_releases. Залишкові ваги перенормовано.

Сповіщення про залежності

67Помірний
Як обчислюється оцінка
9.5/35Прямі залежності без відомих сповіщень — уражено 1: pillow 10.4.0 (critical 9.1)
25/25Непрямі залежності без відомих сповіщень — жодна непряма залежність не має відомих сповіщень
32.6/40Немає задавнених сповіщень — 1 пакет(ів) зі сповіщеннями без реакції понад 90 дн.; найдавніше опубліковано 170 дн. тому
Використані вхідні дані
sourceosv
advisories34
affected_packages1
assessed_packages74
unassessed_packages0
affected_by_severitycritical 1
direct_affected_packages1
Звірено з runtime-замиканням залежностей pypi:marker-pdf@2.0.0 — тим, що тягне за собою встановлення опублікованого пакета, — 74 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.

37У зоні ризику · 0% загального індексу

Контекст і настанови для агентів

19Критичний
Як обчислюється оцінка
0/45Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора
0/15Машиночитана документація (llms.txt)
18.7/40Читабельна історія комітів — намір зазначено у 26 з 74 людських комітів (структурований заголовок або пояснювальний текст)
Використані вхідні дані
has_llms_txtні
legible_history_share0,351
agent_instruction_files—
agent_instruction_max_bytes—

Цикл верифікації (збірка / тести / перевірка типів)

43У зоні ризику
Як обчислюється оцінка
0/18Розгортання однією командою
22/22Автоматизовані тести
11/11Конфігурація лінтера / форматера
0/11Статична перевірка типів
10/10Відтворюване середовище — lockfile
0/10Підтверджена практика роботи з агентами — серед останніх 100 комітів немає створених агентом
0/8Автоматизоване супроводження — автоматичних оновлень залежностей не виявлено
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Використані вхідні дані
has_nixні
has_testsтак
lockfilesuv.lock
has_dockerfileні
typed_languageні
bootstrap_files—
has_devcontainerні
has_linter_configтак
typecheck_configs—
agent_commit_share0
toolchain_manifests—
dependency_bot_commit_share0

Читабельність коду для моделей

55Помірний
Як обчислюється оцінка
0/45Типізований код — Python без конфігурації перевірки типів
55/55Керовані розміри файлів — 0/172 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes21 129
source_files_sampled172
oversized_source_files0

Машиночитні інтерфейси

40У зоні ризику
Як обчислюється оцінка
0/40Схема API (OpenAPI/GraphQL/proto)
0/20Сервер MCP
40/40Придатні до запуску приклади — examples
Використані вхідні дані
example_dirsexamples
has_mcp_signalні
api_schema_files—

Ключові факти

38 094зірок GitHub
26контриб'юторів
208комітів за останні 12 місяців
11днів від останнього пушу
72релізів
1бас-фактор
361відкритих 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 ★ / 2 693 ⇿
0Зірки
2 693Форки
10Релізи

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.

Показано лише найновішу історію — цей репозиторій перевищує вікно збору, тож найраніша історія не захоплена.

1 5001 7502 0002 2502 5002 7502 693252025-082026-022026-08
Мажорні 1Мінорні 2Патчі 7
OpenSSF Scorecard 3.8 / 10
3.8сукупно

Незалежна, не прив'язана до інструментів оцінка безпеки від відкритого проєкту OpenSSF Scorecard. Кожна перевірка винагороджує практику безпеки, а не інструмент конкретного постачальника. Перевірки, які Scorecard не зміг визначити, позначено н/д і виключено з оцінки безпеки (вони ніколи не зараховуються як нуль).Scorecard v5.5.0 · 2026-08-01 10:54 UTC

10Binary-Artifactsno binaries found in the repo
3Branch-Protectionbranch protection is not maximal on development and all release branches
10CI-Tests2 out of 2 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/4 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 1 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
н/дSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities29 existing vulnerabilities detected
Прямі залежності 21
РеєстрПакетОбмеження версіїМаніфест
PyPIpillow>=10.1.0,<11pyproject.toml
PyPIpydantic>=2.4.2,<3pyproject.toml
PyPIpydantic-settings>=2.0.3,<3pyproject.toml
PyPItransformers>=5.12.1,<6pyproject.toml
PyPIpython-dotenv>=1.0.0,<2pyproject.toml
PyPItorch>=2.7.0,<3pyproject.toml
PyPIpsutil>=7.0.0,<8pyproject.toml
PyPItqdm>=4.66.1,<5pyproject.toml
PyPIftfy>=6.1.1,<7pyproject.toml
PyPIrapidfuzz>=3.8.1,<4pyproject.toml
PyPIsurya-ocr>=0.22.1,<0.23.0pyproject.toml
PyPIregex>=2024.4.28pyproject.toml
PyPIpdftext>=0.7.0,<0.8.0pyproject.toml
PyPImarkdownify>=1.1.0,<2pyproject.toml
PyPIclick>=8.2.0,<9pyproject.toml
PyPImarkdown2>=2.5.2,<3pyproject.toml
PyPIfiletype>=1.2.0,<2pyproject.toml
PyPIgoogle-genai>=1.40.0,<3pyproject.toml
PyPIanthropic>=0.69.0,<1pyproject.toml
PyPIopenai>=2.2.0,<3pyproject.toml
PyPIscikit-learn>=1.6.1,<2pyproject.toml
Усі залежності 257

Повний розв'язаний набір залежностей із графа залежностей GitHub: 22 прямих і 235 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPIanthropic0.117.0пряма
PyPIclick8.4.2пряма
PyPIfiletype1.2.0пряма
PyPIftfy6.3.1пряма
PyPIgoogle-genai2.12.1пряма
PyPImarkdown22.5.5пряма
PyPImarkdownify1.2.3пряма
PyPIopenai2.46.0пряма
PyPIpdftext0.7.1пряма
PyPIpillow10.4.0пряма
PyPIpsutil7.2.2пряма
PyPIpydantic2.13.4пряма
PyPIpydantic-settings2.14.2пряма
PyPIpython-dotenv1.2.2пряма
PyPIrapidfuzz3.14.5пряма
PyPIregex2026.7.19пряма
PyPIscikit-learn1.7.2пряма
PyPIscikit-learn1.9.0пряма
PyPIsurya-ocr0.22.1пряма
PyPItorch2.13.0пряма
PyPItqdm4.69.0пряма
PyPItransformers5.14.1пряма
PyPIaiohappyeyeballs2.7.1непряма
PyPIaiohttp3.14.1непряма
PyPIaiosignal1.4.0непряма
PyPIaltair6.2.2непряма
PyPIannotated-doc0.0.4непряма
PyPIannotated-types0.7.0непряма
PyPIanyio4.14.2непряма
PyPIappnope0.1.4непряма
PyPIapted1.0.3непряма
PyPIargon2-cffi25.1.0непряма
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Сповіщення про залежності 1

Встановлення pypi:marker-pdf@2.0.0 тягне 74 пакетів, прямих і транзитивних: 1 мають відомі сповіщення, з них 1 — прямі залежності.

ПакетВерсіяЗв'язокКритичністьСповіщеньВиправлено в
pillow10.4.0прямакритична3412.3.0

Сповіщення означає, що версія, записана в графі залежностей, потрапляє в уражений діапазон. Досяжність не аналізується, а граф містить піниї розробки й тестування — знахідка може стосуватися інструментів, а не поставленого коду.

Звіт у форматі JSON машиночитний
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        "key": "security",
        "band": "at_risk",
        "name": "Security",
        "value": 44,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "at_risk",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Packaging, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "packaging",
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 38,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 16,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 2,
              "scorecard_aggregate": 3.8
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "branch protection is not maximal on development and all release branches",
                "points": 2.2,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "2 out of 2 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 0/4 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 3 contributing companies or organizations -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "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": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 1 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "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",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file 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": "29 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "moderate",
            "name": "Dependency advisories",
            "note": "Matched the pypi:marker-pdf@2.0.0 runtime dependency closure — what installing the published package pulls in — 74 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:marker-pdf@2.0.0",
                  "assessed": 74
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 67,
            "inputs": {
              "source": "osv",
              "advisories": 34,
              "affected_packages": 1,
              "assessed_packages": 74,
              "unassessed_packages": 0,
              "affected_by_severity": "critical 1",
              "direct_affected_packages": 1
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "1 affected: pillow 10.4.0 (critical 9.1)",
                "points": 9.5,
                "status": "partial",
                "details": [
                  {
                    "code": "advisories_affected",
                    "params": {
                      "count": 1,
                      "packages": "pillow 10.4.0 (critical 9.1)"
                    }
                  }
                ],
                "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": "1 advisory-carrying package(s) unaddressed past 90 days; oldest published 170 days ago",
                "points": 32.6,
                "status": "partial",
                "details": [
                  {
                    "code": "advisories_stale",
                    "params": {
                      "days": 90,
                      "count": 1,
                      "oldest": 170
                    }
                  }
                ],
                "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": 74,
              "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"
              ],
              "commit_weight_rule": {
                "min_commits": 50,
                "min_commit_share": 0.1
              },
              "review_only_matches": 0,
              "below_threshold_exposures": [],
              "assessed_self_published_locations": 9
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "at_risk",
        "name": "AI Readiness",
        "value": 37,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 19,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.351,
              "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": "26 of 74 human commits state their intent (structured subject or explanatory body)",
                "points": 18.7,
                "status": "partial",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 26,
                      "sampled": 74
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "at_risk",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 43,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [
                "uv.lock"
              ],
              "has_dockerfile": false,
              "typed_language": false,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 18
              },
              {
                "key": "automated_tests",
                "name": "Automated tests",
                "detail": null,
                "points": 22,
                "status": "met",
                "details": [],
                "max_points": 22
              },
              {
                "key": "lint_format_config",
                "name": "Lint / format config",
                "detail": null,
                "points": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": "lockfile",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "lockfile"
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "no 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": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "params": {}
                  }
                ],
                "max_points": 8
              },
              {
                "key": "openssf_scorecard_pinned_dependencies",
                "name": "OpenSSF Scorecard: Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "moderate",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 55,
            "inputs": {
              "primary_language": "Python",
              "largest_source_bytes": 21129,
              "source_files_sampled": 172,
              "oversized_source_files": 0
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "Python without a type-check config",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_typecheck_config_language",
                    "params": {
                      "language": "Python"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "0/172 source files over 60KB",
                "points": 55,
                "status": "met",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 172,
                      "oversized": 0
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "examples"
              ],
              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "examples",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.14.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
  "generated_at": "2026-08-01T10:54:33.485385Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/d/datalab-to/marker.svg",
  "full_name": "datalab-to/marker",
  "license_state": "standard",
  "license_spdx": "Apache-2.0"
}

Пов’язані записи

Перевірені репозиторії, що мають спільні каталожні теги або екосистеми з datalab-to/marker. Читати поруч →

87Unstructured-IO/unstructuredConvert documents to structured data effortlessly. Unstructured is open-source ETL solution for transforming complex documents into clean, structured formats for language models. Visit our website to learn more about our enterprise grade Platform product for production grade workflows, partitioning, enrichments, chunking and embedding.Відмінний94run-llama/llama_indexLlamaIndex is the leading document agent and OCR platformВідмінний93deepset-ai/haystackOpen-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing, memory, and generation. Built for scalable agents, RAG, multimodal applications, semantic search, and conversational systems.Відмінний90data-privacy-stack/presidioAn open-source framework for detecting, redacting, masking, and anonymizing sensitive data (PII) across text, images, and structured data. Supports NLP, pattern matching, and customizable pipelines.Відмінний88langchain-ai/langsmith-sdkLangSmith Client SDK ImplementationsВідмінний88huggingface/transformers🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training. Відмінний

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 v1.14.0, схема v0.27.0 — повна методологія · вікі метрик.

Як окремий результат виглядає на тлі всього реєстру: сукупна статистика — PyPI.