Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.27.0 · метрики 1.13.0 · 2026-07-29 01:32 UTC

fpedd / omnimalloc

State-of-the-art static memory allocation for neural networks.

Python · C++Apache-2.0★ 4 зірки⑂ 1 форкз груд. 2025 р.Переглянути на GitHub ↗

fpedd/omnimalloc має індекс здоров’я 56 зі 100, що відповідає смузі «Помірний». Найвищий показник — Vitality (76/100), найнижчий — Community & Adoption (28/100). Останнє оновлення було 6 днів тому. Більшість нещодавньої роботи виконує один учасник.

56
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.

56
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

Fabian PeddinghausОсобистий обліковий запис
14 підписників42 публічні репозиторіїз січ. 2017 р.Axelera AI

Цей репозиторій належить особистому обліковому запису. Проєкт з єдиним власником несе більший ризик безперервності, ніж підтримуваний організацією.

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікаціяТеги
PyPIomnimalloc0.4.0-539 днів томуmemoryallocationallocatorstatic-allocation

Метрики за категоріями

Життєздатність

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

76Добрий · 22% загального індексу
Як обчислюється оцінка
36/36Свіжість push — останній push 6 дн. тому
6.2/36Ритм комітів — 9/52 тижнів із комітами
14.2/18Обсяг комітів — 37 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 2 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year37
human_commit_share1
days_since_last_push6
active_weeks_last_year9
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 5 релізів
36/36Свіжість релізів — останній реліз 11 дн. тому
19.8/27Ритм релізів — реліз кожні ~52 дн.
0/10OpenSSF Scorecard: Signed-Releases — немає даних
Використані вхідні дані
releases_count5
latest_release_tagv0.6.0
releases_from_tagsні
days_since_latest_release11
mean_days_between_releases52
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?

28Критичний · 18% загального індексу
Як обчислюється оцінка
7.7/60Зірки — 4 зірок
0/25Форки — 1 форків
0/15Спостерігачі — 0 спостерігачів
Використані вхідні дані
forks1
stars4
watchers0
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
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?

46У зоні ризику · 24% загального індексу
Як обчислюється оцінка
9/54Бас-фактор — на 1 контриб’ютор(ів) припадає половина всіх комітів
0.6/22.5Розподіл комітів — головний контриб’ютор — автор 97% комітів
2.7/13.5Широта контриб’юторів — 2 контриб’юторів
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Використані вхідні дані
bus_factor1
contributors_sampled2
top_contributor_share0,973
Як обчислюється оцінка
0/46.8Вирішення issue — закрито 0% issue
35.2/38.3Прийняття PR — злито 35/38 вирішених PR
0/15OpenSSF Scorecard: Code-Review — Found 1/30 approved changesets -- score normalized to 0
Використані вхідні дані
merged_prs35
open_issues6
closed_issues0
issue_closed_ratio0
closed_unmerged_prs3
Як обчислюється оцінка
10/30Підтримка власника — особистий (користувацький) обліковий запис
0/20Верифікований домен — не застосовно до користувацьких облікових записів
8.5/25Охоплення власника — 14 підписників у fpedd
23.9/25Послужний список — 42 публічних репозиторіїв, вік облікового запису ~9 р.
Використані вхідні дані
followers14
owner_typeUser
is_verified
owner_loginfpedd
public_repos42
account_age_days3 467
Виключено з оцінювання (немає даних або не застосовно): Верифікований домен. Залишкові ваги перенормовано.

Супровід пакетів

100Відмінний
Як обчислюється оцінка
25/25Опубліковано й доступно — 1 пакет(ів) у pypi
35/35Свіжість публікацій — остання публікація 39 дн. тому
20/20Історія версій — 5 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packagesomnimalloc
ecosystemspypi
any_deprecatedні
min_days_since_publish39

Інженерна якість

Чи наявні базові інженерні практики та документація?

76Добрий · 20% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 2 процес(ів) CI
24/24Наявні тести
16/16Конфігурація лінтера
9.6/9.6Pre-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_configтак

Документація

50Помірний
Як обчислюється оцінка
30/30README
0/25Каталог документації
0/15Сайт документації / домашня сторінка
10/10Опис репозиторію
0/10Теми
10/10Wiki
Використані вхідні дані
topics
has_wikiтак
homepage
has_readmeтак
has_docs_dirні
has_descriptionтак

Безпека

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

53Помірний · 16% загального індексу

Стан безпеки

41У зоні ризику
Як обчислюється оцінка
7.5/7.5Binary-Artifacts — no binaries found in the repo
3.8/7.5Branch-Protection — branch protection is not maximal on development and all release branches
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
0/7.5Code-Review — Found 1/30 approved changesets -- score normalized to 0
0.8/2.5Contributors — project has 1 contributing companies or organizations -- score normalized to 3
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Ліцензія — license file detected
7.5/7.5Maintained — 30 commit(s) and 2 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
0/7.5Vulnerabilities — 69 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated17
scorecard_versionv5.5.0
checks_inconclusive1
scorecard_aggregate4,1
Виключено з оцінювання (немає даних або не застосовно): 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_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:omnimalloc@0.4.0 — 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.

52Помірний · 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 35 з 37 людських комітів (структурований заголовок або пояснювальний текст)
Використані вхідні дані
has_llms_txtні
legible_history_share0,946
agent_instruction_files
agent_instruction_max_bytes
Як обчислюється оцінка
0/18Розгортання однією командою
22/22Автоматизовані тести
11/11Конфігурація лінтера / форматера
11/11Статична перевірка типів — src/python/omnimalloc/py.typed
10/10Відтворюване середовище — lockfile
0/10Підтверджена практика роботи з агентами — серед останніх 37 комітів немає створених агентом
0/8Автоматизоване супроводження — автоматичних оновлень залежностей не виявлено
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Використані вхідні дані
has_nixні
has_testsтак
lockfilesuv.lock
has_dockerfileні
typed_languageні
bootstrap_files
has_devcontainerні
has_linter_configтак
typecheck_configssrc/python/omnimalloc/py.typed
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Як обчислюється оцінка
27/45Типізований код — Python з конфігурацією перевірки типів (src/python/omnimalloc/py.typed)
55/55Керовані розміри файлів — 0/174 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes38 388
source_files_sampled174
oversized_source_files0
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

4зірок GitHub
2контриб'юторів
37комітів за останні 12 місяців
6днів від останнього пушу
5релізів
1бас-фактор
6відкритих issue
PyPIпакетних екосистем

Попередження щодо збору даних

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Докладніше

OpenSSF Scorecard 4.1 / 10
4.1сукупно

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 · 2026-07-29 01:31 UTC

10Binary-Artifactsno binaries found in the repo
5Branch-Protectionbranch protection is not maximal on development and all release branches
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
0Code-ReviewFound 1/30 approved changesets -- score normalized to 0
3Contributorsproject has 1 contributing companies or organizations -- score normalized to 3
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 2 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
0Vulnerabilities69 existing vulnerabilities detected
Прямі залежності 2
РеєстрПакетОбмеження версіїМаніфест
PyPInumpy>=1.25.0pyproject.toml
PyPItyping-extensions>=4.0.0pyproject.toml
Усі залежності не зібрано

Не вдалося зібрати розв'язаний набір залежностей для цього звіту: GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository

Сповіщення про залежності 0

Встановлення pypi:omnimalloc@0.4.0 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": [],
      "is_fork": false,
      "size_kb": 1641,
      "has_wiki": true,
      "homepage": null,
      "languages": {
        "C++": 185851,
        "CMake": 2273,
        "Python": 652583,
        "Jupyter Notebook": 11203
      },
      "pushed_at": "2026-07-22T07:41:23Z",
      "created_at": "2025-12-20T21:25:57Z",
      "owner_type": "User",
      "updated_at": "2026-07-22T07:42:25Z",
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      "primary_language": "Python",
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    "owner": {
      "blog": null,
      "name": "Fabian Peddinghaus",
      "type": "User",
      "login": "fpedd",
      "company": "Axelera AI",
      "location": "Zurich",
      "followers": 14,
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      "created_at": "2017-01-29T16:35:15Z",
      "is_verified": null,
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      "account_age_days": 3467
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    "license": {
      "state": "standard",
      "spdx_id": "Apache-2.0",
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      "file_present": true,
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      "profile_has_license": true
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    "activity": {
      "releases": [
        {
          "tag": "v0.6.0",
          "kind": "minor",
          "published_at": "2026-07-17T23:34:34Z"
        },
        {
          "tag": "v0.5.0",
          "kind": "minor",
          "published_at": "2026-07-15T15:14:12Z"
        },
        {
          "tag": "v0.4.0",
          "kind": "minor",
          "published_at": "2026-06-19T07:08:07Z"
        },
        {
          "tag": "v0.3.0",
          "kind": "minor",
          "published_at": "2026-04-02T12:43:22Z"
        },
        {
          "tag": "v0.2.0",
          "kind": "minor",
          "published_at": "2025-12-22T00:54:42Z"
        }
      ],
      "recent_commits": [
        {
          "oid": "4e1d89c008ffce89d5d879250e9e06b959655d7f",
          "body": "Trim docstrings whose elaboration restated the summary line, duplicated\ndocumentation living elsewhere, or used Args scaffolding: the Memory\nclass, BenchmarkReport, HuggingfaceSource, MinimallocSource, BaseSource\n(drops the registry-key note covered by Registered), Registered,\nrun_benchmark and plot\n[…]\nins, budget behavior,\nbound relationships); conflict_degrees likewise leans on conflicts while\nkeeping its positional/duplicate-id semantics. Reflow wraps left ragged\nby the antichain_pressure rename.",
          "is_bot": false,
          "headline": "Condense docstrings to their load-bearing content (#47)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-22T07:41:23Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "5e3afb1ae92dbc80332f6f06a8e16fe3074cd2be",
          "body": "Let every public entry point (allocate, validate_allocation,\nsave_allocation, plot_allocation) accept a raw Sequence[Allocation] in\naddition to System/Memory/Pool, wrapped via the new\nPool.from_allocations; allocate returns the placed allocations as a\ntuple in input order. Pool.allocate now restores\n[…]\ntor constructors, Timer, and\nplot_allocation so the common single-argument calls read naturally. Add\nany_allocated across Pool/Memory/System and use it in io. Add nanobind\nto the dev dependency group.",
          "is_bot": false,
          "headline": "Accept raw allocation sequences and streamline the public API (#46)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-21T16:59:56Z",
          "body_truncated": true,
          "is_coding_agent": false
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        {
          "oid": "f41fa785378e70b3d909674a251c98f5166f2057",
          "body": "placement_pressure_per_allocation ran its internal linearize attempt\nunbounded, so large non-interval-order vector-clock instances paid a\nfutile O(k*m*d) dominance pass before the fast output-sensitive\nfallback sweep. Plumb work_budget through: Python defaults to\nDEFAULT_WORK_BUDGET, and the budget \n[…]\n.\nDifferentially verified against brute-force references (conflict\nrelation, pinned antichains, placement peaks, interval-order decisions)\non over a thousand randomized instances with zero mismatches.",
          "is_bot": false,
          "headline": "Budget placement pressure and localize the linearize witness (#45)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-18T12:21:03Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "a89aa4dbce075114264616b8db1f63a4a0514a1a",
          "body": "Land the rulings of research/api-audit.md across the Python and C++\nsurface: one vocabulary, flat functions at the boundary, noun-phrase\nqueries, flat allocator kwargs, renamed entry points, and omni as the\ndefault allocator.\n\nVocabulary (R1): \"conflict\" names the happens-before constraint,\n\"overlap\n[…]\nbecomes \"omni\": never worse than greedy_by_size on\nany benchmarked case (geomean peak ratio 1.0972 vs 1.1675), certified\noptimal on three of seven, vector-clock capable, and the same order of\nruntime.",
          "is_bot": false,
          "headline": "Implement public API audit (#44)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-17T23:18:37Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "29ec56729bcd124335c3c7fa43bd784d1f913d75",
          "body": "Move the exact happens-before queries out of primitives/ into a new\nanalysis/ package on both language sides: conflicts, linearize,\npressure, and the clock helpers in Python; antichain, closure,\nlinearize, placement, and clock.hpp (ex clock_rows.hpp) in C++.\nprimitives/ is now strictly the System/Me\n[…]\nfetimes, else a sound\nclock-component-sum projection annotated with its conflict coverage),\nand \"lanes\" keeps the per-thread projection with an optional max_lanes\ntop-k cap by definite-occupancy peak.",
          "is_bot": false,
          "headline": "Extract the analysis layer, centralize defaults, add a panel view (#43)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-17T08:13:31Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "d742fca61642eb76a5dfef2253e0668d2b608422",
          "body": "…ts (#42)\n\n* Consolidate pressure API, add placement pressure, unify budget defaults\n\nFold get_antichain_pressure into get_pressure behind work_budget:\nint | None — the two computed the identical max-weight antichain and\ndiffered only in the default budget; None now removes the bound. Thread\nwork_bu\n[…]\nap but total and deterministic: every allocation is a\nkey in input order, conflict-free ones map to an empty set (the raw\nbinding omits them). Rejects duplicate ids like the other id-keyed\nprimitives.",
          "is_bot": false,
          "headline": "Consolidate pressure API, add placement pressure, unify budget defaul…",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-16T06:39:57Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "482fa98d076993cd3cef2f29545fcfb8d13b1f49",
          "body": "Add tests/integration/test_omni_torture.py: every placement is certified\nthrough the oracle sandwich (closure <= antichain <= peak <= total size,\nplacement-pressure max == peak, per-conflict-pair spatial disjointness)\nacross all sync patterns, tiling sweeps, metamorphic transforms (size\nscaling, clo\n[…]\n, record instances\nwhere get_pressure exceeds its work budget as capped instead of crashing\nthe sweep (first hit at size 10k on the independent pattern). Ignore the\nscripts' output directories in git.",
          "is_bot": false,
          "headline": "Torture-test the omni allocator and pressure engines end to end (#41)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-15T20:56:39Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "1b69a3d17545b4b21736f563a8920a3b611e93b2",
          "body": null,
          "is_bot": false,
          "headline": "Update README copyright year to 2026 (#40)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-15T20:56:00Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "9882d4064493637cbacaaf0316ecb39cd1e89e0d",
          "body": "Rerun the deterministic README benchmark suite with the new\nOmniAllocator and regenerate all committed figure assets.\n\nOmni matches the greedy portfolio (greedy-all) on solution quality at\n80.17% mean packing efficiency across the 13 hard problems, but runs\n~17x faster (0.95 ms vs 16.3 ms mean), pla\n[…]\n.6 ms to 0.2 ms; on faster\n  machines the greedy (size) and best-fit points fell off the left edge.\n- Split the quality figure's inline legend onto two lines; seven\n  entries overflowed a single line.",
          "is_bot": false,
          "headline": "Add omni allocator to README benchmark figures (#39)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-15T11:40:08Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "6cae6b302a0d9805db27030eb50cc4819b3009bc",
          "body": "… (#38)\n\nPin the vector-clock liveness relation with randomized, seeded property\ntests instead of only hand-picked examples:\n\n- Differential: pairwise overlaps_temporally and the sweep-pruned\n  compute_temporal_overlaps graph both match an independent componentwise\n  happens-before oracle on tie-hea\n[…]\nnts pass on every\n  sync pattern while placements corrupted to collide a conflicting pair\n  always fail; same-offset reuse across a happens-before edge passes and\n  flipping one clock component fails.",
          "is_bot": false,
          "headline": "Add property tests for vector-clock conflict semantics and validation…",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-15T10:52:49Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "59feac9524fcc889ddf194e329ee787a63fb58af",
          "body": "…s (#37)\n\nGeneralize lifetimes from scalar intervals to vector clocks (one component\nper thread): Allocation carries a TimePoint variant on both sides of the\nbinding, temporal overlap becomes the happens-before conflict test, and\n1-element vectors normalize to scalars so existing scalar behavior is\n\n[…]\ns; scripts/\nbenchmark_pressure.py compares all pressure methods, doubles as a torture\npass (bound order, max-equals-global identities, tiling optimum), and drops\nany method exceeding a per-run budget.",
          "is_bot": false,
          "headline": "Add vector-clock lifetimes, omni allocator, and exact pressure querie…",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-15T10:30:20Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "03d5a91dd9ef76d58a38f554ea72720c25902dc8",
          "body": "…ternals (#36)\n\nSplit greedy_base into first_fit (overlap graph + placement) and a new\nlocal_search module (peak_of, peak_positions, initial_order,\nearlier_neighbors, propose_peak_swap) so the metaheuristics share their\nmove-proposal code instead of keeping near-verbatim copies.\n\n- Centralize timeou\n[…]\nalloc runs (including tie-heavy and single-\nallocation cases); benchmarks match the previous commit within noise\n(greedy 500k allocations ~0.9 s, best-fit 100k ~150 ms, telamalloc/SA/\ntabu unchanged).",
          "is_bot": false,
          "headline": "Extract shared first-fit and local-search helpers, dedup allocator in…",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-14T15:55:00Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "03248af7bfebc8e8b56a78cb0f809a859e467df0",
          "body": "…#35)\n\nRework the C++ first-fit hot path around index-based overlap adjacency\n(compute_overlap_indices + first_fit_place_indexed), ~580x faster on\nadversarial inputs, keep nanobind builds at -O3 via NOMINSIZE, and\nrelease the GIL across the C++ allocator entry points.\n\nFix a telamalloc segfault on i\n[…]\n), make the\nallocator/source registries live, validate Pool.allocate returns and\nduplicate registry names, dedupe the tqdm fallback, and regenerate the\nREADME figures with the new performance numbers.",
          "is_bot": false,
          "headline": "Deep-audit fixes: faster first-fit, overflow guards, timeout rename (…",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-14T11:20:25Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "b10972a59b7107f0714029231c0297b2a37feba2",
          "body": "…#30)\n\nAdd best-fit, simulated annealing, tabu search, and telamalloc to the\nREADME benchmark figures: the hero Pareto plot grows from 8 to 11\nallocators (greedy-by-area retired; the size and all variants already\ntell the greedy story), the quality plot now compares greedy (size),\nbest-fit, tabu sea\n[…]\n13 hard problems within 3 s (down from 11 at 10 s)\nat 97.6% mean efficiency, and mm-G in the README allocation figure\nremains proven optimal. The 05 example now also exercises best-fit and\ntelamalloc.",
          "is_bot": false,
          "headline": "Benchmark new allocators in README figures and unify the 3 s budget (…",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-07T22:30:20Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "0d3961997a99606c1bf1b6f46e97b33fb492cbab",
          "body": "Move the hero figure from the top of the page into the Benchmarks\nsection, replacing the quality and scaling plots. The intro paragraphs\nnow follow the badges directly, and the Installation section gains a\npip install straight from GitHub alongside the PyPI release.",
          "is_bot": false,
          "headline": "Restructure README layout (#29)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-07T16:09:59Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "105e7fb51efe1aa8251252fb84d00df20a0633de",
          "body": "…tors (#28)\n\nFour new C++ allocators exposed via nanobind with Python wrappers,\nregistry integration, and unit tests:\n\n- BestFitAllocator: greedy placement into the smallest fitting gap\n  among placed temporal overlaps, falling back past the last one.\n- SimulatedAnnealingAllocator: anneals over firs\n[…]\n and best-fit shares the\nplaced-overlap collection with the first-fit offset search. The three\nsearch allocators release the GIL for the duration of the native\nsearch, matching greedy_many/solve_many.",
          "is_bot": false,
          "headline": "Add best-fit, simulated annealing, tabu search, and telamalloc alloca…",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-07T16:02:59Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "866382e8d67198d3f2bd10fd3874c0cf38f11cfe",
          "body": "…#27)\n\nfig.savefig always passed format=\"pdf\" regardless of the requested file\nextension, so a .png path silently contained PDF bytes. And every axis tick,\ntitle, and limit annotation divided by MB unconditionally, so capacities below\n1MB (small demo/test instances) rendered every y-tick as 0.0 and were\nunreadable.\n\nLet savefig infer the format from the path's own extension, and add\n_byte_unit/_format_bytes to pick B/KB/MB/GB per value instead of assuming MB.",
          "is_bot": false,
          "headline": "Fix plot_allocation's hardcoded PDF output and MB-only unit scaling (…",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-07T08:18:46Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "7b9e4f1e187e2b9b663cf841d3c0c881c3a080af",
          "body": null,
          "is_bot": false,
          "headline": "Small set of follow-up fixes (#26)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-06T14:05:18Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "7bf8a6902e0fcffd9cc9655720922e19373b8f75",
          "body": "Rework the README around a hero Pareto plot (quality vs. solve time),\na solved-allocation rendering, and per-problem quality / scaling figures,\nplus a runnable quickstart, badges, and a feature summary.\n\nAll figures are produced by scripts/generate_readme_assets.py from a\ndeterministic benchmark run\n[…]\n 3 s for scaling). minimalloc has no PyPI wheel,\nso the generator installs it on demand before importing the omnimalloc\nallocators, and caps its scaling series at the sizes it can solve within\nbudget.",
          "is_bot": false,
          "headline": "Overhaul README with generated benchmark figures (#25)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-06T13:44:38Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "c8e0ec9a298b2ede8f077d8bf1a322193ef65b9e",
          "body": "…FirstFitPlacer (#23)\n\nExtract the first-fit core from greedy.cpp into greedy_base.{hpp,cpp} and add a\nresident FirstFitPlacer that owns the allocations and their overlap map, so\nsearching over candidate orderings only marshals an index permutation across\nthe Python boundary rather than re-marshalin\n[…]\ninimalloc is flattened. Hill-climb annealing is rewritten to an exp(-delta%/T)\nschedule with a corrected default temperature. Adds unit tests for the genetic,\nminimalloc, random, and naive allocators.",
          "is_bot": false,
          "headline": "Extract shared greedy base and route order-search allocators through …",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-04T13:47:31Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "f21ee51384862bc4fd2b472824d3cd04dcf5ba2d",
          "body": "* Add SuperMalloc branch-and-bound allocator\n\nAdd a SuperMalloc-style allocator that solves the static packing problem via\nportfolio branch-and-bound search running entirely in C++. The Partition\nsearch core (src/cpp/allocators/supermalloc/) is exposed through nanobind\n(Partition, SearchOptions, Sol\n[…]\nchOptions exposes per-rule pruning toggles (canonical, dominance,\nfloor_inference, monotonic_floor, decompose) for ablation.\n\n* Fix MSVC build: prevent windows.h min/max macros clobbering std::min/max",
          "is_bot": false,
          "headline": "Add SuperMalloc branch-and-bound allocator (#15)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-03T23:08:38Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "3f4423569906eff0c0d21db8d4ee1a04f5d57fae",
          "body": null,
          "is_bot": false,
          "headline": "Source version from git tags via setuptools-scm (#10)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-03T16:24:50Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "50ea51d8531b41ab428538a78ef1e2224664996c",
          "body": "* Add problem dump/load in minimalloc CSV format\n\nAdd dump_allocation/load_allocation to serialize a System, Memory, or\nPool to minimalloc-format CSV files (id,lower,upper,size) and read them\nback into a Pool. This lets users export an allocation problem they hit\nissues with and share it for inspect\n[…]\nresolution sleep can return early), making the\n>1_000_000 ns assertion flaky. Drive the clock deterministically via\nmonkeypatch so the test verifies the stopped-timer behavior without any\ntiming race.",
          "is_bot": false,
          "headline": "Add problem dump/load in minimalloc CSV format (#20)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-03T15:41:15Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "f404ef2b77cf5b89e8b4cf2c884093ed7be9e882",
          "body": "The by-all ensembles run 7 independent variants; with parallel=True they\nfan out to a ProcessPoolExecutor. Default remains serial.\n\nAllocations are passed to workers directly and variants are reconstructed\nfrom their registry name; offsets come back on the returned allocations,\nand the winner is pic\n[…]\n regress -- the per-call pool spawn (~0.5s,\ndominated by workers re-importing the C++ extension) dwarfs the work\n(e.g. minimalloc challenging K 0.05s -> 0.6s), so use cores=1 for\nsub-second workloads.",
          "is_bot": false,
          "headline": "Add opt-in parallel execution to allocate_best_of (#19)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-03T10:12:39Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "b6a92a47c53c5f26003153f0d4f460a1751dede5",
          "body": "* Run test job on all wheel-target platforms\n\nExtend the Checks test matrix beyond ubuntu-latest with one job each on\nubuntu-24.04-arm, macos-latest, and windows-latest (Python 3.13), matching\nthe cibuildwheel platforms in build.yml. The minimalloc source install is\ngated to Linux runners; its tests\n[…]\nonly builds on Linux). Skip the minimalloc allocator in the\nexamples when it is unavailable, and force matplotlib's non-interactive Agg\nbackend in the test job since the runners lack a working Tcl/Tk.",
          "is_bot": false,
          "headline": "Run test job on all wheel-target platforms (#21)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-03T09:02:05Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "b747ec0b7c71dd4f21e728a4305ab8ded39163e2",
          "body": "Replace the all-pairs Python loop in compute_conflict_degrees with two\nbisect lookups over pre-sorted start/end lists: an allocation overlaps\nevery other allocation that starts before its end and has not ended by\nits start, minus itself. Results are identical for valid inputs (unique\nids), verified \n[…]\n the dominant cost of both conflict-based variants and thus of\nthe by-all ensembles: at 10k random allocations, greedy_by_conflict_cpp\ndrops from 5.7s to 0.5s and greedy_by_all_cpp from 14.3s to 3.6s.",
          "is_bot": false,
          "headline": "Make conflict degree computation O(n log n) (#18)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-02T12:23:11Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "3b4e870a8b0c04c330ef4152162e9ea3f423a540",
          "body": "Benchmarked 11 candidate sort orders (plus best-fit placement, which\nlost to first-fit) on minimalloc challenging/small, tiling, pinwheel,\nand RandomSource instances. Two additions carry their weight:\n\n- greedy_by_conflict_size: conflict degree x size, best solo variant\n- greedy_by_start: start asc \n[…]\n-all ensembles, cutting the best-of\nmean gap vs the max-load lower bound from 1.205 to 1.146 on held-out\ninstances. The duplicated conflict-degree loop is now a shared\ncompute_conflict_degrees helper.",
          "is_bot": false,
          "headline": "Add conflict-size and start-order greedy heuristics (#17)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-02T11:55:13Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "0be87f3d6e7e7be0afdd49e51e01d6322964ebc6",
          "body": "The undo path searched for a mismatch between pos_map and alloc_list via\nnext(...) without a default. Because pos_map is kept in sync with\nalloc_list after every swap, the generator was empty whenever simulated\nannealing rejected a step, raising StopIteration and aborting allocation.\n\nTrack the last\n[…]\n\nreverted ordering. Add allocator unit tests and a HighContentionSource\nregression case that reproduces the crash on rejected steps.\n\nCo-authored-by: Fabian Peddinghaus <fabian.peddinghaus@axelera.ai>",
          "is_bot": false,
          "headline": "Fix StopIteration in hill climb allocator on rejected steps (#16)",
          "author_name": "Alex Belke",
          "author_login": "axblk",
          "committed_at": "2026-07-02T11:18:46Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "d6b491b2c7e2460945300e8ec6989d7f621fbe32",
          "body": "Add two reverse-constructed benchmark sources with a known, tight optimum,\nsharing a TilingBase that recursively splits a capacity x makespan rectangle\ninto leaf tiles (peak pressure == capacity, a provably achievable lower bound):\n\n- TilingSource: guillotine cuts (edge-to-edge), mem_cut_prob tunes contention\n- PinwheelSource: non-guillotine pinwheel splits, an adversarial variant that\n  defeats decomposition/canonical-guillotine shortcuts",
          "is_bot": false,
          "headline": "Add tiling and pinwheel benchmark sources (#14)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-07-02T11:00:50Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "ea3f1e8bb98667b4c436d86dbe499cf89e00e03b",
          "body": "Introduce GreedyByAllAllocator and its C++ counterpart, which run every\ngreedy variant and keep the result with the smallest peak memory via a\nshared allocate_best_of helper.",
          "is_bot": false,
          "headline": "Add greedy-by-all allocator and bump version to 0.4.0 (#13)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-06-18T14:21:43Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "22dc84eb83125c16153d2399319486bb3fb56d33",
          "body": "Replace MinimallocSource(file_path=...) with a MinimallocSubset enum\n(\"examples\", \"small\", \"challenging\"). Adds the bundled \"small\" CSVs\nthat previously had no corresponding subset.",
          "is_bot": false,
          "headline": "Add 'small' minimalloc subset and switch source to enum selection (#12)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-05-10T16:33:03Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "d16e73c5ecdf2faa2849367e43e60971ade8c1a1",
          "body": null,
          "is_bot": false,
          "headline": "Sync uv.lock to version 0.3.0 (#9)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-05-09T12:25:19Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "1ae1632dd0277e4892d6d481f3c4944b4514086b",
          "body": null,
          "is_bot": false,
          "headline": "Add pytest log_cli config and ignore PLW2901 (#8)",
          "author_name": "Fabian Peddinghaus",
          "author_login": "fpedd",
          "committed_at": "2026-05-09T12:25:09Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "c331764c1a729070f36e346b874a861b77b64448",
          "body": null,
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                "key": "license",
                "name": "License",
                "detail": "recognized license (Apache-2.0)",
                "points": 22.5,
                "status": "met",
                "details": [
                  {
                    "code": "license_standard",
                    "params": {}
                  },
                  {
                    "code": "license_spdx",
                    "params": {
                      "spdx": "Apache-2.0"
                    }
                  }
                ],
                "max_points": 22.5
              },
              {
                "key": "contributing_guide",
                "name": "CONTRIBUTING guide",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 18
              },
              {
                "key": "code_of_conduct",
                "name": "Code of conduct",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 13.5
              },
              {
                "key": "issue_template",
                "name": "Issue template",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.2
              },
              {
                "key": "pr_template",
                "name": "PR template",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.3
              }
            ]
          }
        ],
        "description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
      },
      {
        "key": "governance",
        "band": "at_risk",
        "name": "Sustainability & Governance",
        "value": 46,
        "weight": 0.24,
        "metrics": [
          {
            "key": "maintainer_resilience",
            "band": "critical",
            "name": "Maintainer resilience (bus factor)",
            "note": null,
            "notes": [],
            "value": 15,
            "inputs": {
              "bus_factor": 1,
              "contributors_sampled": 2,
              "top_contributor_share": 0.973
            },
            "components": [
              {
                "key": "bus_factor",
                "name": "Bus factor",
                "detail": "1 contributor(s) cover half of all commits",
                "points": 9,
                "status": "partial",
                "details": [
                  {
                    "code": "bus_factor",
                    "params": {
                      "count": 1
                    }
                  }
                ],
                "max_points": 54
              },
              {
                "key": "commit_distribution",
                "name": "Commit distribution",
                "detail": "top contributor authored 97% of commits",
                "points": 0.6,
                "status": "partial",
                "details": [
                  {
                    "code": "top_contributor_share",
                    "params": {
                      "share": 97
                    }
                  }
                ],
                "max_points": 22.5
              },
              {
                "key": "contributor_breadth",
                "name": "Contributor breadth",
                "detail": "2 contributors",
                "points": 2.7,
                "status": "partial",
                "details": [
                  {
                    "code": "contributors_sampled",
                    "params": {
                      "count": 2
                    }
                  }
                ],
                "max_points": 13.5
              },
              {
                "key": "openssf_scorecard_contributors",
                "name": "OpenSSF Scorecard: Contributors",
                "detail": "project has 1 contributing companies or organizations -- score normalized to 3",
                "points": 3,
                "status": "partial",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "responsiveness",
            "band": "at_risk",
            "name": "Issue & PR responsiveness",
            "note": null,
            "notes": [],
            "value": 35,
            "inputs": {
              "merged_prs": 35,
              "open_issues": 6,
              "closed_issues": 0,
              "issue_closed_ratio": 0,
              "closed_unmerged_prs": 3
            },
            "components": [
              {
                "key": "issue_resolution",
                "name": "Issue resolution",
                "detail": "0% of issues closed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "issues_closed_share",
                    "params": {
                      "share": 0
                    }
                  }
                ],
                "max_points": 46.75
              },
              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
                "detail": "35/38 decided PRs merged",
                "points": 35.2,
                "status": "partial",
                "details": [
                  {
                    "code": "decided_prs_merged",
                    "params": {
                      "merged": 35,
                      "decided": 38
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                  }
                ],
                "max_points": 38.25
              },
              {
                "key": "openssf_scorecard_code_review",
                "name": "OpenSSF Scorecard: Code-Review",
                "detail": "Found 1/30 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              }
            ]
          },
          {
            "key": "stewardship",
            "band": "moderate",
            "name": "Ownership & stewardship",
            "note": "Excluded from scoring (no data or not applicable): Verified domain. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "verified_domain"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 53,
            "inputs": {
              "followers": 14,
              "owner_type": "User",
              "is_verified": null,
              "owner_login": "fpedd",
              "public_repos": 42,
              "account_age_days": 3467
            },
            "components": [
              {
                "key": "ownership_backing",
                "name": "Ownership backing",
                "detail": "personal (user) account",
                "points": 10,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_personal",
                    "params": {}
                  }
                ],
                "max_points": 30
              },
              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": "not applicable to user accounts",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "not_applicable_to_user_accounts",
                    "params": {}
                  }
                ],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "14 followers of fpedd",
                "points": 8.5,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_followers",
                    "params": {
                      "count": 14,
                      "login": "fpedd"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "42 public repos, account ~9 yr old",
                "points": 23.9,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 42
                    }
                  },
                  {
                    "code": "account_age_years",
                    "params": {
                      "years": 9
                    }
                  }
                ],
                "max_points": 25
              }
            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "packages": [
                "omnimalloc"
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              "ecosystems": "pypi",
              "any_deprecated": false,
              "min_days_since_publish": 39
            },
            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on pypi",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "packages_published",
                    "params": {
                      "count": 1,
                      "ecosystems": "pypi"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 39 days ago",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "publish_recency",
                    "params": {
                      "days": 39
                    }
                  }
                ],
                "max_points": 35
              },
              {
                "key": "version_history",
                "name": "Version history",
                "detail": "5 published versions",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "published_versions",
                    "params": {
                      "count": 5
                    }
                  }
                ],
                "max_points": 20
              },
              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "package_not_deprecated",
                    "params": {}
                  }
                ],
                "max_points": 20
              }
            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "good",
        "name": "Engineering Quality",
        "value": 76,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "excellent",
            "name": "Engineering practices",
            "note": null,
            "notes": [],
            "value": 94,
            "inputs": {
              "has_ci": true,
              "has_tests": true,
              "has_editorconfig": false,
              "has_linter_config": true,
              "has_precommit_config": true
            },
            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "2 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 2
                    }
                  }
                ],
                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
                "detail": null,
                "points": 24,
                "status": "met",
                "details": [],
                "max_points": 24
              },
              {
                "key": "linter_config",
                "name": "Linter config",
                "detail": null,
                "points": 16,
                "status": "met",
                "details": [],
                "max_points": 16
              },
              {
                "key": "pre_commit_hooks",
                "name": "Pre-commit hooks",
                "detail": null,
                "points": 9.6,
                "status": "met",
                "details": [],
                "max_points": 9.6
              },
              {
                "key": "editorconfig",
                "name": ".editorconfig",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 6.4
              },
              {
                "key": "openssf_scorecard_ci_tests",
                "name": "OpenSSF Scorecard: CI-Tests",
                "detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "moderate",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 50,
            "inputs": {
              "topics": [],
              "has_wiki": true,
              "homepage": null,
              "has_readme": true,
              "has_docs_dir": false,
              "has_description": true
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
        "value": 53,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "at_risk",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 41,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 17,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 1,
              "scorecard_aggregate": 4.1
            },
            "components": [
              {
                "key": "binary_artifacts",
                "name": "Binary-Artifacts",
                "detail": "no binaries found in the repo",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "branch_protection",
                "name": "Branch-Protection",
                "detail": "branch protection is not maximal on development and all release branches",
                "points": 3.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 1/30 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 1 contributing companies or organizations -- score normalized to 3",
                "points": 0.8,
                "status": "partial",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "no update tool detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 2 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 detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "69 existing vulnerabilities detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the pypi:omnimalloc@0.4.0 runtime dependency closure — what installing the published package pulls in — 2 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "pypi:omnimalloc@0.4.0",
                  "assessed": 2
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 2,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 2,
              "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": 2
            },
            "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": 52,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 0.946,
              "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
              },
              {
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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.