Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.12.0 · метрики 1.13.0 · 2026-07-18 13:07 UTC

dmlc / xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

C++ · Python · CudaApache-2.0★ 28 569 зірок⑂ 8 879 форківз лют. 2014 р.Переглянути на GitHub ↗

dmlc/xgboost має індекс здоров’я 86 зі 100, що відповідає смузі «Відмінний». Найвищий показник — Engineering Quality (100/100), найнижчий — AI Readiness (57/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконують 2 учасники.

86
загалом / 100
Відмінний

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.

86
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

1 747 підписників51 публічний репозиторійз бер. 2015 р.

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

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікація
Mavenml.dmlc:xgboost-jvm_2.123.3.0-3129 днів тому
PyPIxgboost3.3.047 481 8039130 днів тому

Метрики за категоріями

Життєздатність

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

95Відмінний · 22% загального індексу
Як обчислюється оцінка
36/36Свіжість push — останній push 0 дн. тому
35.3/36Ритм комітів — 51/52 тижнів із комітами
18/18Обсяг комітів — 403 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 26 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year403
human_commit_share
days_since_last_push0
active_weeks_last_year51
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 76 релізів
36/36Свіжість релізів — останній реліз 30 дн. тому
27/27Ритм релізів — реліз кожні ~35,8 дн.
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Використані вхідні дані
releases_count76
latest_release_tagv3.3.0
releases_from_tagsні
days_since_latest_release30
mean_days_between_releases35,8

Спільнота та впровадження

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

85Відмінний · 18% загального індексу
Як обчислюється оцінка
60/60Зірки — 28 569 зірок
25/25Форки — 8 879 форків
15/15Спостерігачі — 884 спостерігачів
Використані вхідні дані
forks8 879
stars28 569
watchers884
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Як обчислюється оцінка
22.5/22.5README
22.5/22.5Ліцензія — визнана ліцензія (Apache-2.0)
0/18Настанови CONTRIBUTING
0/13.5Кодекс поведінки
7.2/7.2Шаблон issue
0/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
has_contributingні
has_issue_templateтак
has_code_of_conductні
has_pull_request_templateні
Як обчислюється оцінка
80/80Щомісячні завантаження — 47 481 803 завантажень/місяць у maven, pypi
0/20Залежні пакети в реєстрі — ця екосистема цього не повідомляє
Використані вхідні дані
packagesml.dmlc:xgboost-jvm_2.12, xgboost
dependents
ecosystemsmaven, pypi
total_downloads
monthly_downloads47 481 803
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?

81Добрий · 24% загального індексу
Як обчислюється оцінка
25.2/54Бас-фактор — на 2 контриб’ютор(ів) припадає половина всіх комітів
16.3/22.5Розподіл комітів — головний контриб’ютор — автор 28% комітів
13.5/13.5Широта контриб’юторів — 100 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 60 contributing companies or organizations
Використані вхідні дані
bus_factor2
contributors_sampled100
top_contributor_share0,276
Як обчислюється оцінка
43.4/46.8Вирішення issue — закрито 93% issue
30.9/38.3Прийняття PR — злито 5 307/6 579 вирішених PR
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Використані вхідні дані
merged_prs5 307
open_issues405
closed_issues5 278
issue_closed_ratio0,929
closed_unmerged_prs1 272
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
23.3/25Охоплення власника — 1 747 підписників у dmlc
24.5/25Послужний список — 51 публічних репозиторіїв, вік облікового запису ~11 р.
Використані вхідні дані
followers1 747
owner_typeOrganization
is_verified
owner_logindmlc
public_repos51
account_age_days4 141

Супровід пакетів

100Відмінний
Як обчислюється оцінка
25/25Опубліковано й доступно — 2 пакет(ів) у maven, pypi
35/35Свіжість публікацій — остання публікація 29 дн. тому
20/20Історія версій — 91 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packagesml.dmlc:xgboost-jvm_2.12, xgboost
ecosystemsmaven, pypi
any_deprecatedні
min_days_since_publish29

Інженерна якість

Чи наявні базові інженерні практики та документація?

100Відмінний · 20% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 17 процес(ів) CI
24/24Наявні тести
16/16Конфігурація лінтера
9.6/9.6Pre-commit-хуки
6.4/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Використані вхідні дані
has_ciтак
has_testsтак
has_editorconfigтак
has_linter_configтак
has_precommit_configтак

Документація

100Відмінний
Як обчислюється оцінка
30/30README
25/25Каталог документації
15/15Сайт документації / домашня сторінка — https://xgboost.readthedocs.io/
10/10Опис репозиторію
10/10Теми — 6 тем
10/10Wiki
Використані вхідні дані
topicsgbdt, gbrt, gbm, distributed-systems, xgboost, machine-learning
has_wikiтак
homepagehttps://xgboost.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?

64Помірний · 16% загального індексу

Стан безпеки

64Помірний
Як обчислюється оцінка
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — немає даних
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
7.5/7.5Code-Review — all changesets reviewed
2.5/2.5Contributors — project has 60 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 — 30 commit(s) and 26 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
4.5/5Security-Policy — security policy file detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
7.5/7.5Token-Permissions — GitHub workflow tokens follow principle of least privilege
0/7.5Vulnerabilities — 63 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate6,4
Виключено з оцінювання (немає даних або не застосовно): branch_protection, packaging. Залишкові ваги перенормовано.

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)
0/40Читабельна історія комітів — немає даних
Використані вхідні дані
has_llms_txtні
legible_history_share
agent_instruction_files
agent_instruction_max_bytes
Виключено з оцінювання (немає даних або не застосовно): Читабельна історія комітів. Залишкові ваги перенормовано.
Як обчислюється оцінка
18/18Розгортання однією командою — demo/c-api/basic/Makefile, doc/Makefile, doc/R-package/Makefile
22/22Автоматизовані тести
11/11Конфігурація лінтера / форматера
11/11Статична перевірка типів — python-package/xgboost/py.typed
0/10Відтворюване середовище
0/10Підтверджена практика роботи з агентами — немає даних
5/8Автоматизоване супроводження — автоматизацію залежностей налаштовано, але у вибірці комітів її не видно
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_languageтак
bootstrap_filesdemo/c-api/basic/Makefile, doc/Makefile, doc/R-package/Makefile
has_devcontainerні
has_linter_configтак
typecheck_configspython-package/xgboost/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share0
Виключено з оцінювання (немає даних або не застосовно): Підтверджена практика роботи з агентами. Залишкові ваги перенормовано.
Як обчислюється оцінка
45/45Типізований код — C++ (статично типізована)
54.5/55Керовані розміри файлів — 8/835 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languageC++
largest_source_bytes117 249
source_files_sampled835
oversized_source_files8
Як обчислюється оцінка
40/40Схема API (OpenAPI/GraphQL/proto) — plugin/federated/federated.proto
0/20Сервер MCP
40/40Придатні до запуску приклади — example
Використані вхідні дані
example_dirsexample
has_mcp_signalні
api_schema_filesplugin/federated/federated.proto

Ключові факти

28 569зірок GitHub
100контриб'юторів
403комітів за останні 12 місяців
0днів від останнього пушу
76релізів
2бас-фактор
405відкритих issue
Maven, PyPIпакетних екосистем

Докладніше

OpenSSF Scorecard 6.4 / 10
6.4сукупно

Незалежна, не прив'язана до інструментів оцінка безпеки від відкритого проєкту OpenSSF Scorecard. Кожна перевірка винагороджує практику безпеки, а не інструмент конкретного постачальника. Перевірки, які Scorecard не зміг визначити, позначено н/д і виключено з оцінки безпеки (вони ніколи не зараховуються як нуль).Scorecard v5.5.0 · 2026-07-18 13:06 UTC

10Binary-Artifactsno binaries found in the repo
н/дBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
10Code-Reviewall changesets reviewed
10Contributorsproject has 60 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
10Dependency-Update-Toolupdate tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 26 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
9Security-Policysecurity policy file detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
10Token-PermissionsGitHub workflow tokens follow principle of least privilege
0Vulnerabilities63 existing vulnerabilities detected
Прямі залежності 5
РеєстрПакетОбмеження версіїМаніфест
Mavencom.esotericsoftware:kryo5.6.2jvm-packages/pom.xml
Mavencommons-logging:commons-logging1.3.4jvm-packages/pom.xml
PyPInumpypython-package/pyproject.toml
PyPIscipypython-package/pyproject.toml
PyPInvidia-nccl-cu12python-package/pyproject.toml
Усі залежності 53

Повний розв'язаний набір залежностей із графа залежностей GitHub: 4 прямих і 49 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
Mavencom.esotericsoftware:kryo5.6.2пряма
Mavencommons-logging:commons-logging1.3.4пряма
PyPInumpyпряма
PyPIscipyпряма
Mavencom.fasterxml.jackson.core:jackson-databindнепряма
Mavenjunit:junitнепряма
Mavenml.dmlc:xgboost4j-flink_2.123.4.0-SNAPSHOTнепряма
Mavenml.dmlc:xgboost4j-spark_2.123.4.0-SNAPSHOTнепряма
Mavenml.dmlc:xgboost4j_2.123.4.0-SNAPSHOTнепряма
Mavennet.alchim31.maven:scala-maven-plugin4.9.2непряма
Mavenorg.apache.flink:flink-clientsнепряма
Mavenorg.apache.flink:flink-ml-servable-core2.2.0непряма
Mavenorg.apache.hadoop:hadoop-commonнепряма
Mavenorg.apache.hadoop:hadoop-hdfsнепряма
Mavenorg.apache.maven.plugins:maven-assembly-pluginнепряма
Mavenorg.apache.maven.plugins:maven-checkstyle-plugin3.6.0непряма
Mavenorg.apache.maven.plugins:maven-gpg-plugin3.2.7непряма
Mavenorg.apache.maven.plugins:maven-jar-plugin3.4.2непряма
Mavenorg.apache.maven.plugins:maven-javadoc-plugin3.11.3непряма
Mavenorg.apache.maven.plugins:maven-release-plugin3.1.1непряма
Mavenorg.apache.maven.plugins:maven-resources-plugin3.3.1непряма
Mavenorg.apache.maven.plugins:maven-shade-pluginнепряма
Mavenorg.apache.maven.plugins:maven-site-plugin3.21.0непряма
Mavenorg.apache.maven.plugins:maven-source-plugin3.3.1непряма
Mavenorg.apache.maven.plugins:maven-surefire-pluginнепряма
Mavenorg.apache.maven.plugins:maven-surefire-plugin3.5.2непряма
Mavenorg.codehaus.mojo:exec-maven-plugin3.5.0непряма
Mavenorg.scala-lang:scala-compilerнепряма
Mavenorg.scala-lang:scala-libraryнепряма
Mavenorg.scalactic:scalactic_2.123.2.19непряма
Mavenorg.scalatest:scalatest-maven-pluginнепряма
Mavenorg.scalatest:scalatest-maven-plugin2.2.0непряма
Mavenorg.scalatest:scalatest_2.123.2.19непряма
Mavenorg.sonatype.central:central-publishing-maven-plugin0.11.0непряма
PyPIbreatheнепряма
PyPIcloudpickleнепряма
PyPIdaskнепряма
PyPIgraphvizнепряма
PyPImatplotlibнепряма
PyPImockнепряма
PyPImyst-parserнепряма
PyPIpandasнепряма
PyPIpysparkнепряма
PyPIrayнепряма
PyPIscikit-build-coreнепряма
PyPIscikit-learnнепряма
PyPIsetuptoolsнепряма
PyPIshнепряма
PyPIsphinxнепряма
PyPIsphinx-galleryнепряма
PyPIsphinx-issuesнепряма
PyPIsphinx-rtd-themeнепряма
PyPIsphinx-tabsнепряма
Звіт у форматі JSON машиночитний
{
  "data": {
    "repo": {
      "topics": [
        "gbdt",
        "gbrt",
        "gbm",
        "distributed-systems",
        "xgboost",
        "machine-learning"
      ],
      "is_fork": false,
      "size_kb": 37133,
      "has_wiki": true,
      "homepage": "https://xgboost.readthedocs.io/",
      "languages": {
        "C": 31254,
        "R": 564393,
        "M4": 4074,
        "C++": 3508870,
        "Cuda": 1445890,
        "Java": 258465,
        "CMake": 70533,
        "Scala": 360660,
        "Shell": 51131,
        "Python": 1581754,
        "PowerShell": 4375
      },
      "pushed_at": "2026-07-18T11:49:19Z",
      "created_at": "2014-02-06T17:28:03Z",
      "owner_type": "Organization",
      "updated_at": "2026-07-18T11:49:26Z",
      "description": "Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library,  for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow",
      "is_archived": false,
      "is_disabled": false,
      "license_spdx": "Apache-2.0",
      "default_branch": "master",
      "primary_language": "C++",
      "significant_languages": [
        "C++",
        "Python",
        "Cuda"
      ]
    },
    "owner": {
      "blog": null,
      "name": "Distributed (Deep) Machine Learning Community",
      "type": "Organization",
      "login": "dmlc",
      "company": null,
      "followers": 1747,
      "avatar_url": "https://avatars.githubusercontent.com/u/11508361?v=4",
      "created_at": "2015-03-16T18:57:10Z",
      "is_verified": null,
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              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "all changesets reviewed",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 60 contributing companies or organizations",
                "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": "update tool detected",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
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                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 26 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 detected",
                "points": 4.5,
                "status": "partial",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "Project has not signed or included provenance with any releases.",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
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                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "63 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "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": 7
            },
            "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": "Excluded from scoring (no data or not applicable): Legible commit history. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "legible_commit_history"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 1,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": null,
              "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": "no data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "good",
            "name": "Verify loop (build / test / typecheck)",
            "note": "Excluded from scoring (no data or not applicable): Demonstrated agent practice. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "demonstrated_agent_practice"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 74,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": true,
              "bootstrap_files": [
                "demo/c-api/basic/Makefile",
                "doc/Makefile",
                "doc/R-package/Makefile"
              ],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
                "python-package/xgboost/py.typed"
              ],
              "agent_commit_share": null,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": "demo/c-api/basic/Makefile, doc/Makefile, doc/R-package/Makefile",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "demo/c-api/basic/Makefile, doc/Makefile, doc/R-package/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": null,
                "points": 11,
                "status": "met",
                "details": [],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "python-package/xgboost/py.typed",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "python-package/xgboost/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 data",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "dependency automation configured, none observed in the sampled commits",
                "points": 5,
                "status": "partial",
                "details": [
                  {
                    "code": "dependency_bot_config_only",
                    "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": "excellent",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "primary_language": "C++",
              "largest_source_bytes": 117249,
              "source_files_sampled": 835,
              "oversized_source_files": 8
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "C++ (statically typed)",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "statically_typed_language",
                    "params": {
                      "language": "C++"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "8/835 source files over 60KB",
                "points": 54.5,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 835,
                      "oversized": 8
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "good",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 80,
            "inputs": {
              "example_dirs": [
                "example"
              ],
              "has_mcp_signal": false,
              "api_schema_files": [
                "plugin/federated/federated.proto"
              ]
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": "plugin/federated/federated.proto",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "plugin/federated/federated.proto"
                    }
                  }
                ],
                "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": "example",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "example"
                    }
                  }
                ],
                "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": "1.13.0"
  },
  "warnings": [],
  "report_type": "repository",
  "generated_at": "2026-07-18T13:07:04.753866Z",
  "schema_version": "0.12.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/d/dmlc/xgboost.svg",
  "full_name": "dmlc/xgboost",
  "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 v0.12.0 — повна методологія · вікі метрик.

Як окремий результат виглядає на тлі всього реєстру: сукупна статистикаMaven, PyPI.