Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 1.13.0 · 2026-07-26 00:05 UTC

BuildACell / bioCRNpyler

A modular compiler for biological chemical reaction networks

PythonBSD-3-Clause★ 54 зірки⑂ 26 форківз жовт. 2018 р.Переглянути на GitHub ↗

BuildACell/bioCRNpyler має індекс здоров’я 68 зі 100, що відповідає смузі «Помірний». Найвищий показник — Vitality (80/100), найнижчий — AI Readiness (32/100). Останнє оновлення було 6 днів тому. Більшість нещодавньої роботи виконують 3 учасники.

68
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.

68
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

Build-A-CellОрганізація
27 підписників12 публічних репозиторіївз жовт. 2016 р.

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

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікаціяТеги
PyPIBioCRNpyler1.3.3-146 днів томуsbmlsynthetic-biologymodelingchemical-reaction-networkcrn

Метрики за категоріями

Життєздатність

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

80Добрий · 22% загального індексу
Як обчислюється оцінка
36/36Свіжість push — останній push 6 дн. тому
14.5/36Ритм комітів — 21/52 тижнів із комітами
18/18Обсяг комітів — 116 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 5 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year116
human_commit_share1
days_since_last_push6
active_weeks_last_year21
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 8 релізів
36/36Свіжість релізів — останній реліз 6 дн. тому
12.6/27Ритм релізів — реліз кожні ~311 дн.
0/10OpenSSF Scorecard: Signed-Releases — немає даних
Використані вхідні дані
releases_count8
latest_release_tagv1.3.3
releases_from_tagsні
days_since_latest_release6
mean_days_between_releases311
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?

47У зоні ризику · 18% загального індексу
Як обчислюється оцінка
28/60Зірки — 54 зірок
11.7/25Форки — 26 форків
5.3/15Спостерігачі — 10 спостерігачів
Використані вхідні дані
forks26
stars54
watchers10
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
0/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
has_contributingні
has_issue_templateні
has_code_of_conductні
has_pull_request_templateні

Сталість та врядування

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

74Добрий · 24% загального індексу
Як обчислюється оцінка
36/54Бас-фактор — на 3 контриб’ютор(ів) припадає половина всіх комітів
16.4/22.5Розподіл комітів — головний контриб’ютор — автор 27% комітів
12.2/13.5Широта контриб’юторів — 9 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 5 contributing companies or organizations
Використані вхідні дані
bus_factor3
contributors_sampled9
top_contributor_share0,27
Як обчислюється оцінка
36.6/46.8Вирішення issue — закрито 78% issue
31.2/38.3Прийняття PR — злито 120/147 вирішених PR
0/15OpenSSF Scorecard: Code-Review — Found 0/2 approved changesets -- score normalized to 0
Використані вхідні дані
merged_prs120
open_issues40
closed_issues144
issue_closed_ratio0,783
closed_unmerged_prs27
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
10.4/25Охоплення власника — 27 підписників у BuildACell
20.1/25Послужний список — 12 публічних репозиторіїв, вік облікового запису ~9 р.
Використані вхідні дані
followers27
owner_typeOrganization
is_verified
owner_loginBuildACell
public_repos12
account_age_days3 557

Супровід пакетів

100Відмінний
Як обчислюється оцінка
25/25Опубліковано й доступно — 1 пакет(ів) у pypi
35/35Свіжість публікацій — остання публікація 6 дн. тому
20/20Історія версій — 14 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packagesBioCRNpyler
ecosystemspypi
any_deprecatedні
min_days_since_publish6

Інженерна якість

Чи наявні базові інженерні практики та документація?

71Добрий · 20% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 3 процес(ів) CI
24/24Наявні тести
0/16Конфігурація лінтера
0/9.6Pre-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_configні
has_precommit_configні
Як обчислюється оцінка
30/30README
25/25Каталог документації
0/15Сайт документації / домашня сторінка
10/10Опис репозиторію
0/10Теми
10/10Wiki
Використані вхідні дані
topics
has_wikiтак
homepage
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

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

60Помірний · 16% загального індексу

Стан безпеки

50Помірний
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 — 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 0/2 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 5 contributing companies or organizations
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 — 5 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate5
Виключено з оцінювання (немає даних або не застосовно): branch_protection, signed_releases. 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_packages109
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:BioCRNpyler@1.3.3 — тим, що тягне за собою встановлення опублікованого пакета, — 109 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.

32У зоні ризику · 0% загального індексу
Як обчислюється оцінка
0/45Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора
0/15Машиночитана документація (llms.txt)
8/40Читабельна історія комітів — намір зазначено у 15 з 100 людських комітів (структурований заголовок або пояснювальний текст)
Використані вхідні дані
has_llms_txtні
legible_history_share0,15
agent_instruction_files
agent_instruction_max_bytes
Як обчислюється оцінка
18/18Розгортання однією командою — Makefile, docs/Makefile
22/22Автоматизовані тести
0/11Конфігурація лінтера / форматера
0/11Статична перевірка типів
0/10Відтворюване середовище
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
lockfiles
has_dockerfileні
typed_languageні
bootstrap_filesMakefile, docs/Makefile
has_devcontainerні
has_linter_configні
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Як обчислюється оцінка
0/45Типізований код — Python без конфігурації перевірки типів
53.4/55Керовані розміри файлів — 3/104 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes93 584
source_files_sampled104
oversized_source_files3
Як обчислюється оцінка
0/40Схема API (OpenAPI/GraphQL/proto)
0/20Сервер MCP
40/40Придатні до запуску приклади — examples, notebooks
Використані вхідні дані
example_dirsexamples, notebooks
has_mcp_signalні
api_schema_files

Ключові факти

54зірок GitHub
9контриб'юторів
116комітів за останні 12 місяців
6днів від останнього пушу
8релізів
3бас-фактор
40відкритих 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 ★ / 26 ⇿
0Зірки
26Форки
8Релізи

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.

05101520252572018-102022-092026-07
Мажорні 1Мінорні 3Патчі 4

Кожна точка охоплює 8 днів.

OpenSSF Scorecard 5.0 / 10
5.0сукупно

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 00:05 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-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 0/2 approved changesets -- score normalized to 0
10Contributorsproject has 5 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained5 commit(s) and 10 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow 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
10Vulnerabilities0 existing vulnerabilities detected
Прямі залежності 10
РеєстрПакетОбмеження версіїМаніфест
PyPIpython-libsbmlpyproject.toml
PyPInumpy<2.0pyproject.toml
PyPImatplotlibpyproject.toml
PyPInetworkxpyproject.toml
PyPIbokeh>=1.4.0pyproject.toml
PyPIfa2_modifiedpyproject.toml
PyPIjupyterpyproject.toml
PyPIpytestpyproject.toml
PyPIpytest-covpyproject.toml
PyPInbconvertpyproject.toml
Усі залежності 21

Повний розв'язаний набір залежностей із графа залежностей GitHub: 10 прямих і 11 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPIbokehпряма
PyPIfa2-modifiedпряма
PyPIjupyterпряма
PyPImatplotlibпряма
PyPInbconvertпряма
PyPInetworkxпряма
PyPInumpyпряма
PyPIpytestпряма
PyPIpytest-covпряма
PyPIpython-libsbmlпряма
PyPInbsphinxнепряма
PyPInbsphinx-linkнепряма
PyPInumpydocнепряма
PyPIpandocнепряма
PyPIrecommonmarkнепряма
PyPIsetuptools-scmнепряма
PyPIsphinxнепряма
PyPIsphinx-copybuttonнепряма
PyPIsphinx-math-dollarнепряма
PyPIsphinx-rtd-themeнепряма
PyPIsphinx-togglepromptнепряма
Сповіщення про залежності 0

Встановлення pypi:BioCRNpyler@1.3.3 тягне 109 пакетів, прямих і транзитивних: 0 мають відомі сповіщення, з них 0 — прямі залежності.

Жодне відоме сповіщення не стосується оцінених залежностей.

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

Звіт у форматі JSON машиночитний
{
  "data": {
    "repo": {
      "topics": [],
      "is_fork": false,
      "size_kb": 38988,
      "has_wiki": true,
      "homepage": null,
      "languages": {
        "Python": 1620267,
        "Makefile": 1153
      },
      "pushed_at": "2026-07-19T01:04:06Z",
      "created_at": "2018-10-09T00:06:57Z",
      "owner_type": "Organization",
      "updated_at": "2026-07-20T18:48:59Z",
      "description": "A modular compiler for biological chemical reaction networks",
      "is_archived": false,
      "is_disabled": false,
      "license_spdx": "BSD-3-Clause",
      "default_branch": "main",
      "license_spdx_raw": "BSD-3-Clause",
      "primary_language": "Python",
      "significant_languages": [
        "Python"
      ]
    },
    "owner": {
      "blog": "http://buildacell.io",
      "name": "Build-A-Cell",
      "type": "Organization",
      "login": "BuildACell",
      "company": null,
      "location": "Distributed like biology.",
      "followers": 27,
      "avatar_url": "https://avatars.githubusercontent.com/u/23123180?v=4",
      "created_at": "2016-10-28T14:43:33Z",
      "is_verified": null,
      "public_repos": 12,
      "account_age_days": 3557
    },
    "license": {
      "state": "standard",
      "spdx_id": "BSD-3-Clause",
      "raw_spdx": "BSD-3-Clause",
      "file_present": true,
      "scorecard_found": true,
      "profile_has_license": true
    },
    "activity": {
      "releases": [
        {
          "tag": "v1.3.3",
          "kind": "patch",
          "published_at": "2026-07-19T01:04:06Z"
        },
        {
          "tag": "v1.3.2",
          "kind": "patch",
          "published_at": "2025-09-15T02:41:27Z"
        },
        {
          "tag": "1.3.1",
          "kind": "patch",
          "published_at": "2025-08-13T01:26:03Z"
        },
        {
          "tag": "1.3.0",
          "kind": "minor",
          "published_at": "2025-08-12T03:21:29Z"
        },
        {
          "tag": "1.1.2",
          "kind": "patch",
          "published_at": "2024-06-20T10:43:40Z"
        },
        {
          "tag": "1.1.0",
          "kind": "minor",
          "published_at": "2021-06-21T17:43:47Z"
        },
        {
          "tag": "1.0.0",
          "kind": "major",
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                "key": "fuzzing",
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                "key": "vulnerabilities",
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                "code": "advisories_scope_published",
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            "value": 100,
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            "components": [
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                "key": "direct_dependencies_free_of_known_advisories",
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                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
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                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
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                "key": "no_advisories_left_outstanding",
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            "inputs": {
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              "packages": [],
              "red_flag": false,
              "assessed_packages": 109,
              "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": 6
            },
            "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": 32,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 8,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.15,
              "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": {}
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                ],
                "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": "15 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 8,
                "status": "partial",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 15,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "at_risk",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 40,
            "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": false,
              "typecheck_configs": [],
              "agent_commit_share": 0,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "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"
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                  }
                ],
                "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": 0,
                "status": "missed",
                "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": 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": "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": 53,
            "inputs": {
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              "largest_source_bytes": 93584,
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              "oversized_source_files": 3
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            "components": [
              {
                "key": "type_checkable_code",
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                "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",
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                "detail": "3/104 source files over 60KB",
                "points": 53.4,
                "status": "partial",
                "details": [
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                    "code": "oversized_source_files",
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                      "oversized": 3
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                ],
                "max_points": 55
              }
            ]
          },
          {
            "key": "ai_interfaces",
            "band": "at_risk",
            "name": "Machine-readable interfaces",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "example_dirs": [
                "examples",
                "notebooks"
              ],
              "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, notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "examples, notebooks"
                    }
                  }
                ],
                "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": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-26T00:05:47.931708Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/b/BuildACell/bioCRNpyler.svg",
  "full_name": "BuildACell/bioCRNpyler",
  "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.