Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 1.13.0 · 2026-07-30 22:07 UTC

aio-libs / aiosmtpd

A reimplementation of the Python stdlib smtpd.py based on asyncio.

PythonApache-2.0★ 372 зірки⑂ 104 форкиз лип. 2016 р.Переглянути на GitHub ↗

aio-libs/aiosmtpd має індекс здоров’я 34 зі 100, що відповідає смузі «У зоні ризику». Найвищий показник — Community & Adoption (82/100), найнижчий — Security (50/100). Останнє оновлення було 29 днів тому. Більшість нещодавньої роботи виконують 2 учасники.

34
загалом / 100
У зоні ризику

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.

34
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.

Політика юрисдикцій високого ризику застосовує множник 50% до зваженого загального індексу здоров’я і встановлює для нього межу «У зоні ризику» на рівні 49.

Власність

aio-libsОрганізація
1 200 підписників68 публічних репозиторіївз бер. 2014 р.

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

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікаціяТеги
PyPIaiosmtpd1.4.61 824 79426803 дні томуemailsmtpdsmtp

Метрики за категоріями

Життєздатність

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

53Помірний · 22% загального індексу
Як обчислюється оцінка
28.8/36Свіжість push — останній push 29 дн. тому
3.5/36Ритм комітів — 5/52 тижнів із комітами
13.6/18Обсяг комітів — 32 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 11 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year32
human_commit_share0,27
days_since_last_push29
active_weeks_last_year5

Дисципліна релізів

48У зоні ризику
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 16 релізів
0/36Свіжість релізів — останній реліз 803 дн. тому
12.6/27Ритм релізів — реліз кожні ~131,5 дн.
8/10OpenSSF Scorecard: Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
Використані вхідні дані
releases_count16
latest_release_tagv1.4.6
releases_from_tagsні
days_since_latest_release803
mean_days_between_releases131,5

Спільнота та впровадження

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

82Добрий · 18% загального індексу
Як обчислюється оцінка
41.7/60Зірки — 372 зірок
16.8/25Форки — 104 форків
4.7/15Спостерігачі — 8 спостерігачів
Використані вхідні дані
forks104
stars372
watchers8
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)
18/18Настанови CONTRIBUTING
13.5/13.5Кодекс поведінки
0/7.2Шаблон issue
6.3/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
has_contributingтак
has_issue_templateні
has_code_of_conductтак
has_pull_request_templateтак
Як обчислюється оцінка
80/80Щомісячні завантаження — 1 824 794 завантажень/місяць у pypi
0/20Залежні пакети в реєстрі — ця екосистема цього не повідомляє
Використані вхідні дані
packagesaiosmtpd
dependents
ecosystemspypi
total_downloads
monthly_downloads1 824 794
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?

70Добрий · 24% загального індексу
Як обчислюється оцінка
25.2/54Бас-фактор — на 2 контриб’ютор(ів) припадає половина всіх комітів
13.9/22.5Розподіл комітів — головний контриб’ютор — автор 38% комітів
13.5/13.5Широта контриб’юторів — 38 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 13 contributing companies or organizations
Використані вхідні дані
bus_factor2
contributors_sampled38
top_contributor_share0,382
Як обчислюється оцінка
28.7/46.8Вирішення issue — закрито 61% issue
30/38.3Прийняття PR — злито 290/370 вирішених PR
15/15OpenSSF Scorecard: Code-Review — all changesets reviewed
Використані вхідні дані
merged_prs290
open_issues79
closed_issues125
issue_closed_ratio0,613
closed_unmerged_prs80
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
22.1/25Охоплення власника — 1 200 підписників у aio-libs
25/25Послужний список — 68 публічних репозиторіїв, вік облікового запису ~12 р.
Використані вхідні дані
followers1 200
owner_typeOrganization
is_verified
owner_loginaio-libs
public_repos68
account_age_days4 511
Як обчислюється оцінка
25/25Опубліковано й доступно — 1 пакет(ів) у pypi
4/35Свіжість публікацій — остання публікація 803 дн. тому
20/20Історія версій — 26 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packagesaiosmtpd
ecosystemspypi
any_deprecatedні
min_days_since_publish803

Інженерна якість

Чи наявні базові інженерні практики та документація?

80Добрий · 20% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 3 процес(ів) CI
24/24Наявні тести
16/16Конфігурація лінтера — tox.ini
0/9.6Pre-commit-хуки
0/6.4.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_editorconfigні
has_linter_configтак
has_precommit_configні
Як обчислюється оцінка
30/30README
0/25Каталог документації
15/15Сайт документації / домашня сторінка — https://aiosmtpd.aio-libs.org
10/10Опис репозиторію
10/10Теми — 10 тем
10/10Wiki
Використані вхідні дані
topicsasyncio, smtp, smtp-server, lmtp, smtpd, mta, smtp-mta, mail-mta, email, python
has_wikiтак
homepagehttps://aiosmtpd.aio-libs.org
has_readmeтак
has_docs_dirні
has_descriptionтак

Безпека

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

50Помірний · 16% загального індексу

Стан безпеки

38У зоні ризику
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 13 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 11 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
5/5SAST — SAST tool is run on all commits
5/5Security-Policy — security policy file detected
6/7.5Signed-Releases — 5 out of the last 5 releases have a total of 5 signed artifacts.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
6.8/7.5Vulnerabilities — 1 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate7,7
high_risk_jurisdiction_cap49
high_risk_jurisdiction_multiplier50
security_posture_after_multiplier38
security_posture_before_jurisdiction77
Виключено з оцінювання (немає даних або не застосовно): branch_protection. Залишкові ваги перенормовано. Політика юрисдикцій високого ризику застосовує множник 50% і встановлює для стану безпеки межу «У зоні ризику» на рівні 49.
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_packages2
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:aiosmtpd@1.4.6 — тим, що тягне за собою встановлення опублікованого пакета, — 2 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.

58Помірний · 0% загального індексу
Як обчислюється оцінка
0/45Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора
0/15Машиночитана документація (llms.txt)
40/40Читабельна історія комітів — намір зазначено у 25 з 27 людських комітів (структурований заголовок або пояснювальний текст)
Використані вхідні дані
has_llms_txtні
legible_history_share0,926
agent_instruction_files
agent_instruction_max_bytes
Як обчислюється оцінка
18/18Розгортання однією командою — aiosmtpd/docs/Makefile
22/22Автоматизовані тести
11/11Конфігурація лінтера / форматера — tox.ini
11/11Статична перевірка типів — .mypy.ini, aiosmtpd/py.typed
0/10Відтворюване середовище
0/10Підтверджена практика роботи з агентами — серед останніх 100 комітів немає створених агентом
8/8Автоматизоване супроводження — 73 з останніх 100 комітів — автоматичні оновлення залежностей
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Використані вхідні дані
has_nixні
has_testsтак
lockfiles
has_dockerfileні
typed_languageні
bootstrap_filesaiosmtpd/docs/Makefile
has_devcontainerні
has_linter_configтак
typecheck_configs.mypy.ini, aiosmtpd/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0,73
Як обчислюється оцінка
27/45Типізований код — Python з конфігурацією перевірки типів (.mypy.ini, aiosmtpd/py.typed)
52.1/55Керовані розміри файлів — 2/38 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes75 029
source_files_sampled38
oversized_source_files2
Як обчислюється оцінка
0/40Схема API (OpenAPI/GraphQL/proto)
0/20Сервер MCP
40/40Придатні до запуску приклади — examples
Використані вхідні дані
example_dirsexamples
has_mcp_signalні
api_schema_files

Ключові факти

372зірок GitHub
38контриб'юторів
32комітів за останні 12 місяців
29днів від останнього пушу
16релізів
2бас-фактор
79відкритих 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 ★ / 104 ⇿
0Зірки
104Форки
16Релізи

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.

02040608010012010132016-072021-072026-07
Мажорні 0Мінорні 2Патчі 12

Кожна точка охоплює 10 днів.

OpenSSF Scorecard 7.7 / 10
7.7сукупно

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 · 2026-07-30 22:06 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 13 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 11 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
10SASTSAST tool is run on all commits
10Security-Policysecurity policy file detected
8Signed-Releases5 out of the last 5 releases have a total of 5 signed artifacts.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
9Vulnerabilities1 existing vulnerabilities detected
Прямі залежності 2
РеєстрПакетОбмеження версіїМаніфест
PyPIatpublicsetup.cfg
PyPIattrssetup.cfg
Усі залежності 31

Повний розв'язаний набір залежностей із графа залежностей GitHub: 2 прямих і 29 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPIatpublic5.0пряма
PyPIattrs24.2.0пряма
PyPIargon2-cffiнепряма
PyPIcheck-manifest0.50непряма
PyPIcoverage7.8.0непряма
PyPIdnspythonнепряма
PyPIdnspython2.8.0непряма
PyPIflake87.1.1непряма
PyPIflake8-20201.8.1непряма
PyPIflake8-annotations-complexity0.0.8непряма
PyPIflake8-bandit4.1.1непряма
PyPIflake8-bugbear24.8.19непряма
PyPIflake8-builtins3.1.0непряма
PyPIflake8-comprehensions3.16.0непряма
PyPIflake8-copyright0.2.4непряма
PyPIflake8-import-order0.19.2непряма
PyPIflake8-pytest-style2.0.0непряма
PyPIflake8-requirements2.3.0непряма
PyPIflake8-simplify0.21.0непряма
PyPImypy1.10.1непряма
PyPIpytest8.3.4непряма
PyPIpytest-cov6.1.1непряма
PyPIpytest-mock3.14.0непряма
PyPIsetuptoolsнепряма
PyPIsphinx8.2.0непряма
PyPIsphinx-autofixture0.4.0непряма
PyPIsphinx-rtd-theme3.0.1непряма
PyPItoxнепряма
PyPItrustme1.2.1непряма
PyPItypes-colorama0.4.15.20240311непряма
PyPItypes-docutils0.21.0.20241005непряма
Сповіщення про залежності 0

Встановлення pypi:aiosmtpd@1.4.6 тягне 2 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": [
        "asyncio",
        "smtp",
        "smtp-server",
        "lmtp",
        "smtpd",
        "mta",
        "smtp-mta",
        "mail-mta",
        "email",
        "python"
      ],
      "is_fork": false,
      "size_kb": 1374,
      "has_wiki": true,
      "homepage": "https://aiosmtpd.aio-libs.org",
      "languages": {
        "Python": 388819,
        "Makefile": 6770
      },
      "pushed_at": "2026-07-01T16:57:10Z",
      "created_at": "2016-07-14T13:51:17Z",
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          "headline": "Bump dnspython from 2.6.1 to 2.8.0 (#581)",
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          "is_bot": true,
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          "is_bot": true,
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                "key": "pr_acceptance",
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        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
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        "key": "engineering",
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                "key": "maintained",
                "name": "Maintained",
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                "key": "no_advisories_left_outstanding",
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                "status": "excluded",
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            "notes": [],
            "value": 100,
            "inputs": {
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              "direct_malicious_packages": 0,
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          },
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            "notes": [
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        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
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  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token"
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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.