Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.26.0 · метрики 1.13.0 · 2026-07-22 03:39 UTC

WaterFutures / EPyT-Flow

A Python package designed for the easy generation of hydraulic and water quality scenario data of water distribution networks.

PythonMIT★ 42 зірки⑂ 11 форківз січ. 2024 р.Переглянути на GitHub ↗

WaterFutures/EPyT-Flow має індекс здоров’я 64 зі 100, що відповідає смузі «Помірний». Найвищий показник — Vitality (89/100), найнижчий — AI Readiness (31/100). Останнє оновлення було 4 дні тому. Більшість нещодавньої роботи виконує один учасник.

64
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.

64
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

ERC Synergy Grant Water FuturesОрганізація
25 підписників14 публічних репозиторіївз лист. 2023 р.

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

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікаціяТеги
PyPIepyt-flow0.17.2827294 дні томуepanetwaternetworkshydraulicsqualitysimulations

Метрики за категоріями

Життєздатність

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

89Відмінний · 22% загального індексу
Як обчислюється оцінка
36/36Свіжість push — останній push 4 дн. тому
22.2/36Ритм комітів — 32/52 тижнів із комітами
18/18Обсяг комітів — 127 комітів за останній рік
5/10OpenSSF Scorecard: Maintained — 7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5
Використані вхідні дані
commits_last_year127
human_commit_share1
days_since_last_push4
active_weeks_last_year32
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 29 релізів
36/36Свіжість релізів — останній реліз 4 дн. тому
27/27Ритм релізів — реліз кожні ~42 дн.
0/10OpenSSF Scorecard: Signed-Releases — немає даних
Використані вхідні дані
releases_count29
latest_release_tagv0.17.2
releases_from_tagsні
days_since_latest_release4
mean_days_between_releases42
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?

53Помірний · 18% загального індексу
Як обчислюється оцінка
26.2/60Зірки — 42 зірок
8.3/25Форки — 11 форків
3.9/15Спостерігачі — 6 спостерігачів
Використані вхідні дані
forks11
stars42
watchers6
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonbelow_threshold
Як обчислюється оцінка
22.5/22.5README
22.5/22.5Ліцензія — визнана ліцензія (MIT)
0/18Настанови CONTRIBUTING
13.5/13.5Кодекс поведінки
0/7.2Шаблон issue
6.3/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
has_contributingні
has_issue_templateні
has_code_of_conductтак
has_pull_request_templateтак
Як обчислюється оцінка
38.9/80Щомісячні завантаження — 827 завантажень/місяць у pypi
0/20Залежні пакети в реєстрі — ця екосистема цього не повідомляє
Використані вхідні дані
packagesepyt-flow
dependents
ecosystemspypi
total_downloads
monthly_downloads827
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?

64Помірний · 24% загального індексу
Як обчислюється оцінка
9/54Бас-фактор — на 1 контриб’ютор(ів) припадає половина всіх комітів
3/22.5Розподіл комітів — головний контриб’ютор — автор 87% комітів
9.5/13.5Широта контриб’юторів — 7 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 10 contributing companies or organizations
Використані вхідні дані
bus_factor1
contributors_sampled7
top_contributor_share0,867
Як обчислюється оцінка
46.8/46.8Вирішення issue — закрито 100% issue
38.2/38.3Прийняття PR — злито 7/7 вирішених PR
0/15OpenSSF Scorecard: Code-Review — Found 1/29 approved changesets -- score normalized to 0
Використані вхідні дані
merged_prs7
open_issues0
closed_issues24
issue_closed_ratio1
closed_unmerged_prs0
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
10.2/25Охоплення власника — 25 підписників у WaterFutures
14/25Послужний список — 14 публічних репозиторіїв, вік облікового запису ~2 р.
Використані вхідні дані
followers25
owner_typeOrganization
is_verified
owner_loginWaterFutures
public_repos14
account_age_days993

Супровід пакетів

100Відмінний
Як обчислюється оцінка
25/25Опубліковано й доступно — 1 пакет(ів) у pypi
35/35Свіжість публікацій — остання публікація 4 дн. тому
20/20Історія версій — 29 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packagesepyt-flow
ecosystemspypi
any_deprecatedні
min_days_since_publish4

Інженерна якість

Чи наявні базові інженерні практики та документація?

65Помірний · 20% загального індексу

Інженерні практики

48У зоні ризику
Як обчислюється оцінка
24/24Процеси CI — 2 процес(ів) CI
24/24Наявні тести
0/16Конфігурація лінтера
0/9.6Pre-commit-хуки
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — 0 out of 1 merged PRs checked by a CI test -- score normalized to 0
Використані вхідні дані
has_ciтак
has_testsтак
has_editorconfigні
has_linter_configні
has_precommit_configні

Документація

90Відмінний
Як обчислюється оцінка
30/30README
25/25Каталог документації
15/15Сайт документації / домашня сторінка — https://epyt-flow.readthedocs.io/en/stable
10/10Опис репозиторію
10/10Теми — 7 тем
0/10Wiki
Використані вхідні дані
topicsepanet, epanet-python-toolkit, python, simulation, water, water-distribution-networks, hydraulics
has_wikiні
homepagehttps://epyt-flow.readthedocs.io/en/stable
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

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

40У зоні ризику · 16% загального індексу

Стан безпеки

40У зоні ризику
Як обчислюється оцінка
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — немає даних
0/2.5CI-Tests — 0 out of 1 merged PRs checked by a CI test -- score normalized to 0
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/29 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 10 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
3.8/7.5Maintained — 7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5
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
7.5/7.5Vulnerabilities — 0 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate4
Виключено з оцінювання (немає даних або не застосовно): branch_protection, packaging, signed_releases. 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.

31У зоні ризику · 0% загального індексу
Як обчислюється оцінка
0/45Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора
0/15Машиночитана документація (llms.txt)
2.1/40Читабельна історія комітів — намір зазначено у 4 з 100 людських комітів (структурований заголовок або пояснювальний текст)
Використані вхідні дані
has_llms_txtні
legible_history_share0,04
agent_instruction_files
agent_instruction_max_bytes
Як обчислюється оцінка
18/18Розгортання однією командою — Makefile, noxfile.py
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, noxfile.py
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
52.6/55Керовані розміри файлів — 4/93 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes507 058
source_files_sampled93
oversized_source_files4
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

42зірок GitHub
7контриб'юторів
127комітів за останні 12 місяців
4днів від останнього пушу
29релізів
1бас-фактор
0відкритих issue
PyPIпакетних екосистем

Попередження щодо збору даних

  • deps.dev does not index pypi:epyt-flow@0.17.2; advisories assessed against the repository dependency graph instead
  • No resolved dependencies carried a version and a supported ecosystem

Докладніше

Історія зірок і форків 42 ★ / 11 ⇿
42Зірки
11Форки
28Релізи

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.

01020304050421122024-052025-062026-07
Мажорні 0Мінорні 17Патчі 10

Кожна точка охоплює 2 днів.

OpenSSF Scorecard 4.0 / 10
4.0сукупно

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 · 2026-07-22 03:38 UTC

10Binary-Artifactsno binaries found in the repo
н/дBranch-Protectioninternal error: error during GetBranch(main): error during branchesHandler.query: 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
0CI-Tests0 out of 1 merged PRs checked by a CI test -- score normalized to 0
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 1/29 approved changesets -- score normalized to 0
10Contributorsproject has 10 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
5Maintained7 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 5
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
10Vulnerabilities0 existing vulnerabilities detected
Усі залежності 24

Повний розв'язаний набір залежностей із графа залежностей GitHub: 0 прямих і 24 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPIbuildнепряма
PyPIdeprecatedнепряма
PyPIepanet-plusнепряма
PyPIepyt-flowнепряма
PyPIfalconнепряма
PyPIflake8непряма
PyPIgeopandasнепряма
PyPIipykernelнепряма
PyPImultiprocessнепряма
PyPInbsphinxнепряма
PyPInetworkxнепряма
PyPIopenpyxlнепряма
PyPIpsutilнепряма
PyPIpygountнепряма
PyPIpytestнепряма
PyPIpytest-covнепряма
PyPIrequestsнепряма
PyPIscikit-learnнепряма
PyPIscipyнепряма
PyPIsphinxнепряма
PyPIsphinx-rtd-themeнепряма
PyPIsvgpath2mplнепряма
PyPItqdmнепряма
PyPIu-msgpack-pythonнепряма
Сповіщення про залежності не оцінено

Звірка сповіщень не відбулася для цього звіту: No resolved dependencies carried a version and a supported ecosystem

Звіт у форматі JSON машиночитний
{
  "data": {
    "repo": {
      "topics": [
        "epanet",
        "epanet-python-toolkit",
        "python",
        "simulation",
        "water",
        "water-distribution-networks",
        "hydraulics"
      ],
      "is_fork": false,
      "size_kb": 8384,
      "has_wiki": false,
      "homepage": "https://epyt-flow.readthedocs.io/en/stable",
      "languages": {
        "TeX": 3042,
        "Python": 1688089,
        "Makefile": 636,
        "Batchfile": 767
      },
      "pushed_at": "2026-07-17T08:26:51Z",
      "created_at": "2024-01-04T14:07:18Z",
      "owner_type": "Organization",
      "updated_at": "2026-07-17T07:29:34Z",
      "description": "A Python package designed for the easy generation of hydraulic and water quality scenario data of water distribution networks.",
      "is_archived": false,
      "is_disabled": false,
      "license_spdx": "MIT",
      "default_branch": "dev",
      "license_spdx_raw": "MIT",
      "primary_language": "Python",
      "significant_languages": [
        "Python"
      ]
    },
    "owner": {
      "blog": "www.waterfutures.eu",
      "name": "ERC Synergy Grant Water Futures",
      "type": "Organization",
      "login": "WaterFutures",
      "company": null,
      "location": null,
      "followers": 25,
      "avatar_url": "https://avatars.githubusercontent.com/u/149570313?v=4",
      "created_at": "2023-11-01T08:14:53Z",
      "is_verified": null,
      "public_repos": 14,
      "account_age_days": 993
    },
    "license": {
      "state": "standard",
      "spdx_id": "MIT",
      "raw_spdx": "MIT",
      "file_present": true,
      "scorecard_found": true,
      "profile_has_license": true
    },
    "activity": {
      "releases": [
        {
          "tag": "v0.17.2",
          "kind": "patch",
          "published_at": "2026-07-17T08:26:51Z"
        },
        {
          "tag": "v0.17.1",
          "kind": "patch",
          "published_at": "2026-06-03T07:48:52Z"
        },
        {
          "tag": "v0.17.0",
          "kind": "minor",
          "published_at": "2026-03-12T08:41:23Z"
        },
        {
          "tag": "v0.16.1",
          "kind": "patch",
          "published_at": "2026-02-04T14:17:36Z"
        },
        {
          "tag": "v0.16.0",
          "kind": "minor",
          "published_at": "2026-02-02T14:25:53Z"
        },
        {
          "tag": "v0.15.0",
          "kind": "minor",
          "published_at": "2025-11-18T07:28:36Z"
        },
        {
          "tag": "v0.15.0b1",
          "kind": "other",
          "published_at": "2025-10-14T07:43:12Z"
        },
        {
          "tag": "v0.14.2",
          "kind": "patch",
          "published_at": "2025-09-01T19:39:48Z"
        },
        {
          "tag": "v0.14.1",
          "kind": "patch",
          "published_at": "2025-08-01T13:04:34Z"
        },
        {
          "tag": "v0.14.0",
          "kind": "minor",
          "published_at": "2025-07-04T11:02:31Z"
        },
        {
          "tag": "v0.13.1",
          "kind": "patch",
          "published_at": "2025-05-11T17:11:44Z"
        },
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                "key": "fuzzing",
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                "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": "0 existing vulnerabilities detected",
                "points": 7.5,
                "status": "met",
                "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": 10
            },
            "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": 31,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "critical",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 2,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.04,
              "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": "4 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 2.1,
                "status": "partial",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 4,
                      "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",
                "noxfile.py"
              ],
              "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, noxfile.py",
                "points": 18,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "Makefile, noxfile.py"
                    }
                  }
                ],
                "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": {
              "primary_language": "Python",
              "largest_source_bytes": 507058,
              "source_files_sampled": 93,
              "oversized_source_files": 4
            },
            "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": "4/93 source files over 60KB",
                "points": 52.6,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 93,
                      "oversized": 4
                    }
                  }
                ],
                "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": [
    "deps.dev does not index pypi:epyt-flow@0.17.2; advisories assessed against the repository dependency graph instead",
    "No resolved dependencies carried a version and a supported ecosystem"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-22T03:39:04.451385Z",
  "schema_version": "0.26.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/w/WaterFutures/EPyT-Flow.svg",
  "full_name": "WaterFutures/EPyT-Flow",
  "license_state": "standard",
  "license_spdx": "MIT"
}

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 v0.26.0 — повна методологія · вікі метрик.

Як окремий результат виглядає на тлі всього реєстру: сукупна статистикаPyPI.