Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.26.0 · метрики 1.13.0 · 2026-07-22 19:51 UTC

jjang-ai / jangq

JANG — GGUF for MLX. YOU MUST USE JANG_Q RUNTIME. Adaptive Mixed-Precision Quantization + Runtime for Apple Silicon

Python · SwiftЛіцензію не виявлено★ 214 зірок⑂ 27 форківз бер. 2026 р.Переглянути на GitHub ↗

jjang-ai/jangq має індекс здоров’я 54 зі 100, що відповідає смузі «Помірний». Найвищий показник — Vitality (82/100), найнижчий — Security (26/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконує один учасник.

54
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.

54
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

Eric Jinho JangОсобистий обліковий запис
217 підписників8 публічних репозиторіївз лип. 2023 р.Osaurus.ai

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

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікаціяТеги
PyPIjang2.5.33-430 днів томуquantizationllmapple-siliconmetalmlxjangmoemixed-precision

Метрики за категоріями

Життєздатність

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

82Добрий · 22% загального індексу
Як обчислюється оцінка
36/36Свіжість push — останній push 0 дн. тому
11.8/36Ритм комітів — 17/52 тижнів із комітами
18/18Обсяг комітів — 565 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year565
human_commit_share1
days_since_last_push0
active_weeks_last_year17
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 9 релізів
36/36Свіжість релізів — останній реліз 0 дн. тому
27/27Ритм релізів — реліз кожні ~15,4 дн.
0/10OpenSSF Scorecard: Signed-Releases — Project has not signed or included provenance with any releases.
Використані вхідні дані
releases_count9
latest_release_tagv2.5.33
releases_from_tagsні
days_since_latest_release0
mean_days_between_releases15,4

Спільнота та впровадження

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

39У зоні ризику · 18% загального індексу
Як обчислюється оцінка
37.8/60Зірки — 214 зірок
11.8/25Форки — 27 форків
1.7/15Спостерігачі — 3 спостерігачів
Використані вхідні дані
forks27
stars214
watchers3
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Як обчислюється оцінка
22.5/22.5README
0/22.5Ліцензія — файлу ліцензії не виявлено
0/18Настанови CONTRIBUTING
0/13.5Кодекс поведінки
0/7.2Шаблон issue
0/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseні
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?

39У зоні ризику · 24% загального індексу
Як обчислюється оцінка
9/54Бас-фактор — на 1 контриб’ютор(ів) припадає половина всіх комітів
0/22.5Розподіл комітів — головний контриб’ютор — автор 100% комітів
1.4/13.5Широта контриб’юторів — 1 контриб’юторів
3/10OpenSSF Scorecard: Contributors — project has 1 contributing companies or organizations -- score normalized to 3
Використані вхідні дані
bus_factor1
contributors_sampled1
top_contributor_share1
Як обчислюється оцінка
4.7/46.8Вирішення issue — закрито 10% issue
7.7/38.3Прийняття PR — злито 1/5 вирішених PR
0/15OpenSSF Scorecard: Code-Review — Found 0/30 approved changesets -- score normalized to 0
Використані вхідні дані
merged_prs1
open_issues9
closed_issues1
issue_closed_ratio0,1
closed_unmerged_prs4
Як обчислюється оцінка
10/30Підтримка власника — особистий (користувацький) обліковий запис
0/20Верифікований домен — не застосовно до користувацьких облікових записів
16.8/25Охоплення власника — 217 підписників у jjang-ai
13.1/25Послужний список — 8 публічних репозиторіїв, вік облікового запису ~3 р.
Використані вхідні дані
followers217
owner_typeUser
is_verified
owner_loginjjang-ai
public_repos8
account_age_days1 115
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 0 дн. тому
20/20Історія версій — 43 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packagesjang
ecosystemspypi
any_deprecatedні
min_days_since_publish0

Інженерна якість

Чи наявні базові інженерні практики та документація?

76Добрий · 20% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 1 процес(ів) CI
24/24Наявні тести
0/16Конфігурація лінтера
0/9.6Pre-commit-хуки
0/6.4.editorconfig
0/20OpenSSF Scorecard: CI-Tests — немає даних
Використані вхідні дані
has_ciтак
has_testsтак
has_editorconfigні
has_linter_configні
has_precommit_configні
Виключено з оцінювання (немає даних або не застосовно): OpenSSF Scorecard: CI-Tests. Залишкові ваги перенормовано.

Документація

100Відмінний
Як обчислюється оцінка
30/30README
25/25Каталог документації
15/15Сайт документації / домашня сторінка — https://jangq.ai/
10/10Опис репозиторію
10/10Теми — 10 тем
10/10Wiki
Використані вхідні дані
topicsgguf, llamacpp, llm, mlx, mlxllm, quantization, apple-silicon, jang-quantization, omlx, omlx-alternative
has_wikiтак
homepagehttps://jangq.ai/
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

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

26Критичний · 16% загального індексу

Стан безпеки

26Критичний
Як обчислюється оцінка
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — branch protection not enabled on development/release branches
0/2.5CI-Tests — немає даних
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 0/30 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
0/2.5Ліцензія — license file not detected
7.5/7.5Maintained — 30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
0/5Packaging — немає даних
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — no SAST tool detected
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — Project has not signed or included provenance with any releases.
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0/7.5Vulnerabilities — 34 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate2,6
Виключено з оцінювання (немає даних або не застосовно): ci_tests, packaging. Залишкові ваги перенормовано.

Готовність до ШІ

Наскільки репозиторій оснащений для розробки та супроводу за участі ШІ-агентів? Незалежний, експериментальний бейдж — вага 0.0, тож він подається окремо і не впливає на загальний індекс здоров'я.

34У зоні ризику · 0% загального індексу
Як обчислюється оцінка
0/45Інструкції для агентів — немає CLAUDE.md / AGENTS.md / правил редактора
0/15Машиночитана документація (llms.txt)
24.5/40Читабельна історія комітів — намір зазначено у 46 з 100 людських комітів (структурований заголовок або пояснювальний текст)
Використані вхідні дані
has_llms_txtні
legible_history_share0,46
agent_instruction_files
agent_instruction_max_bytes
Як обчислюється оцінка
0/18Розгортання однією командою
22/22Автоматизовані тести
0/11Конфігурація лінтера / форматера
0/11Статична перевірка типів
10/10Відтворюване середовище — lockfile
0/10Підтверджена практика роботи з агентами — серед останніх 100 комітів немає створених агентом
0/8Автоматизоване супроводження — автоматичних оновлень залежностей не виявлено
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Використані вхідні дані
has_nixні
has_testsтак
lockfilesuv.lock
has_dockerfileні
typed_languageні
bootstrap_files
has_devcontainerні
has_linter_configні
typecheck_configs
agent_commit_share0
toolchain_manifests
dependency_bot_commit_share0
Як обчислюється оцінка
0/45Типізований код — Python без конфігурації перевірки типів
54.5/55Керовані розміри файлів — 5/589 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes99 406
source_files_sampled589
oversized_source_files5
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

214зірок GitHub
1контриб'юторів
565комітів за останні 12 місяців
0днів від останнього пушу
9релізів
1бас-фактор
9відкритих issue
PyPIпакетних екосистем

Попередження щодо збору даних

  • Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token
  • Could not fetch pypi package 'jang-ralph-runner' from its registry
  • GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository
  • deps.dev does not index pypi:jang@2.5.33; advisories assessed against the repository dependency graph instead

Докладніше

Історія зірок і форків 0 ★ / 27 ⇿
0Зірки
27Форки
8Релізи

Коли додано кожну зірку й форк — зібрано з GitHub і згруповано за днями. Кумулятивне зростання розміщено просто над денними додаваннями, з яких воно складається, тож їх видно одне проти одного: рівномірне органічне накопичення виглядає зовсім інакше, ніж різкий короткочасний сплеск. Там, де цю різницю можна виміряти, її подано як автентичність росту.

0510152025302722026-032026-052026-07
Мажорні 0Мінорні 1Патчі 5
OpenSSF Scorecard 2.6 / 10
2.6сукупно

Незалежна, не прив'язана до інструментів оцінка безпеки від відкритого проєкту OpenSSF Scorecard. Кожна перевірка винагороджує практику безпеки, а не інструмент конкретного постачальника. Перевірки, які Scorecard не зміг визначити, позначено н/д і виключено з оцінки безпеки (вони ніколи не зараховуються як нуль).Scorecard v5.5.0 · 2026-07-22 19:51 UTC

10Binary-Artifactsno binaries found in the repo
0Branch-Protectionbranch protection not enabled on development/release branches
н/дCI-Testsno pull request found
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
0Code-ReviewFound 0/30 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
0Licenselicense file not detected
10Maintained30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10
н/дPackagingpackaging workflow not detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTno SAST tool detected
0Security-Policysecurity policy file not detected
0Signed-ReleasesProject has not signed or included provenance with any releases.
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
0Vulnerabilities34 existing vulnerabilities detected
Прямі залежності 8
РеєстрПакетОбмеження версіїМаніфест
PyPIsafetensors>=0.4jang-tools/pyproject.toml
PyPInumpy>=1.24jang-tools/pyproject.toml
PyPItqdm>=4.60jang-tools/pyproject.toml
PyPIhuggingface_hub>=0.20jang-tools/pyproject.toml
PyPIjinja2>=3.1jang-tools/pyproject.toml
PyPIruamel.yaml>=0.18ralph_runner/pyproject.toml
PyPIhuggingface_hub>=0.20ralph_runner/pyproject.toml
PyPIrich>=13.0ralph_runner/pyproject.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

Звіт у форматі JSON машиночитний
{
  "data": {
    "repo": {
      "topics": [
        "gguf",
        "llamacpp",
        "llm",
        "mlx",
        "mlxllm",
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        "jang-quantization",
        "omlx",
        "omlx-alternative"
      ],
      "is_fork": false,
      "size_kb": 98331,
      "has_wiki": true,
      "homepage": "https://jangq.ai/",
      "languages": {
        "Jinja": 4802,
        "Metal": 64647,
        "Shell": 16933,
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          "kind": "patch",
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        {
          "tag": "v2.5.29",
          "kind": "patch",
          "published_at": "2026-05-13T02:13:16Z"
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        {
          "tag": "v2.5.28",
          "kind": "patch",
          "published_at": "2026-05-12T10:38:31Z"
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          "tag": "v2.5.18",
          "kind": "patch",
          "published_at": "2026-05-04T21:47:19Z"
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        {
          "tag": "v2.5.8",
          "kind": "patch",
          "published_at": "2026-04-26T01:27:07Z"
        },
        {
          "tag": "jang-studio-v1.0.1",
          "kind": "other",
          "published_at": "2026-04-22T02:11:25Z"
        },
        {
          "tag": "jang-studio-v1.0.0",
          "kind": "other",
          "published_at": "2026-04-22T00:41:23Z"
        },
        {
          "tag": "v2.2.0",
          "kind": "minor",
          "published_at": "2026-03-23T04:31:15Z"
        },
        {
          "tag": "v2.1.5",
          "kind": "patch",
          "published_at": "2026-03-21T22:23:08Z"
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      "recent_commits": [
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          "body": null,
          "is_bot": false,
          "headline": "fix(laguna): publish mixed-affine runtime contract",
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          "body_truncated": false,
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          "headline": "fix(jang): validate storage widths and clarify Laguna AWQ",
          "author_name": "Jinho Jang",
          "author_login": "jjang-ai",
          "committed_at": "2026-07-22T04:17:36Z",
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          "body": "NOTES.md: 10-point inference checklist (bf16 stream, wired limit,\nper-layer-type masks, keep=0, layer-indexed attention, softplus gate\nwidth branch, router math, eos [2,24]/no-double-BOS, thinking-on default,\nper-module quant bits), session changelog, verification protocol with\ninterpretation nuance\n[…]\n-forced pre/post-window agreement is the real gate).\npython_example.py: smoke / chat / teacher-forced parity drivers.\nSWIFT.md: vmlx-swift port checklist ordered by the audited M.1\nlayer-indexing bug.",
          "is_bot": false,
          "headline": "docs: laguna-s21 runtime notes, examples, Swift port checklist",
          "author_name": "Jinho Jang",
          "author_login": "jjang-ai",
          "committed_at": "2026-07-22T04:00:44Z",
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          "body": "Capture runs the REAL jang_tools.laguna.model.LagunaLayer in MLX — not a\nhand-rolled torch forward — so the capture math is the verified runtime\nmath by construction (per-layer heads, dual RoPE/partial rotary, softplus\ngating, sigmoid+bias routing). Streams the 235 GB source with a 2-shard\nLRU (~10 \n[…]\nsured on S-2.1 (corpus_v3 8x512): absmean alpha=0.25 wins at BOTH\n2-bit (+2.4% reconstruction vs the alpha=0 no-AWQ baseline) and 4-bit\n(+2.9%), 0/144384 inert channels. Shipped bundles are AWQ-based.",
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          "body": "poolside/Laguna-S-2.1 (118B-A8B, 48 layers, 256 routed top-10 + shared,\ndense L0, hybrid 12 full/36 SWA with per-layer head counts 48/72).\nProfiles: JANG_2L = the proven M.1 recipe byte-for-byte (routed 2/2/3,\nattn+g_proj 8, shared/dense/embed 6, lm_head 8, gs64), JANG_3L 3/3/4,\nJANG_4M 4/4/4 with s\n[…]\ncoherent) with a loud warning at <=3-bit;\n--awq folds captured scales into routed+shared gate/up and the router gate\nwith the inverse on post_attention_layernorm, keeping routing logits\nbit-identical.",
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          "author_name": "Jinho Jang",
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          "body": "fp16 stream (bundle sidecar dtype) NaN'd S-2.1-JANG_4M: the residual\ngrows ~4 -> 942k across 48 layers and the L46 MoE intermediate overflows\nfp16's 65504 ceiling -> inf -> NaN logits -> argmax 0 -> UNK spam. The\nsource is torch_dtype=bfloat16; cast all fp16 params to bf16 at load so\nQuantizedLinear\n[…]\ned under decode —\n4M measured 14.0 -> 32.6 tok/s wired; 2L was silently throttled too\n(31.9 -> 48.3). Auto-stamp min(bundle*1.2 + 8GB, 118GB); the 118 GB\nceiling is Ornith-proven on the 128 GB M5 Max.",
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          "body": "Two hybrid-attention bugs, both invisible below the 512-token window:\n\n1. __call__ built ONE causal mask from caches[0] and fed it to every\n   layer. Layer 0 is full attention (plain KVCache), so mlx_lm returned\n   the 'causal' fast path and SWA layers attended the whole prefix on\n   prompts > 512. \n[…]\nhed==no-cache greedy parity across the window. Both bugs\nverified caught via negative controls. Verified on the real S-2.1 118B:\nteacher-forced top-1 agreement 1.000 across 2401 post-window positions.",
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          "is_bot": false,
          "headline": "laguna: fix mixed-precision affine load + per-element attention gating",
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          "body": "2026-07-10 depth sweep on Hy3-JANG_2K-MTP (greedy 600-tok x3/arm): baseline\n27.8 tok/s; d1 30.6 (+10%, ~full acceptance); d2 26.3 (-6%, 24.5% accept);\nd3 19.1 (-31%, 1.9% accept). Depth 1 is the only profitable depth for the\nhy3 head; write vmlx_mtp_tuning.json so the engine autodetects it.",
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          "headline": "hy3: awq_capture — per-layer torch.mps.empty_cache (MPS SIGABRT harde…",
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          "headline": "hy3: awq_capture — use SDPA is_causal (fp32 mask vs bf16 operands cra…",
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          "headline": "hy3: final-release JANG_2L all-affine converter + AWQ capture + nativ…",
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          "body": "Laguna-XS.2-mxfp4 failed to load with\n    ValueError: Module does not have parameter named \"experts\".\n\nThe affine converters (JANG_*, MXFP4) do not ship routed experts unpacked.\nThey pre-stack them and fuse gate+up into a single tensor:\n    layers.L.mlp.experts.gate_up_proj.{weight,scales,biases}  (\n[…]\n0 layers, 256 experts): the engine loads\nand produces coherent output (\"...its capital is a well-known city. I think the\ncapital is Paris.\"), which also confirms the gate/up halves are not transposed.",
          "is_bot": false,
          "headline": "laguna: split fused affine expert tensors so MXFP4/JANG bundles load",
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          "body": "The two lineages had each accumulated work the other lacked. origin/main\ncarried the reasoning parsers, the expanded quant_shape_inference, the\ngemma4 `_patch_chat_template` decomposition and the `_resolve_modality`\nexplicit-has_vision fix. The local lineage carried n2 expert pruning\n(`_is_n2_expert\n[…]\nndent path so the test no longer depends on being run from the\n  repo root.\n- pyproject: union -- origin`s description and gemma4/mimo-v2 entry points\n  plus the local qwen35 mxfp4/mxfp8 entry points.",
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          "body": "…ime_metadata\n\nResolve the four unmerged files left by an interrupted `git stash pop`.\n`convert.py`, `format/writer.py` and `examples/mtp/inspect_mtp_bundle.py` had\nbeen left holding the STASHED side, which would have reverted committed work:\nwriter.py's per-module quantization manifest (a uniform t\n[…]\nn2 override test no longer depends on cwd; mimo_v2 SWA test asserts\n  the KVCache the runtime actually builds; except-Exception threshold raised to\n  199 to cover the untracked MXTQ/MXRQ lane modules.",
          "is_bot": false,
          "headline": "jang-tools: finish the interrupted stash-pop; restore _stamp_mtp_runt…",
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          "is_bot": false,
          "headline": "jang-tools: add MiniMax-M3 + MiMo-V2(+VLM) conversion tooling, n2 exp…",
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          "headline": "jang-tools: MiniMax-M3 + MiMo-V2 conversion tooling, n2 expert prunin…",
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          "headline": "Update runtime package capabilities",
          "author_name": "Jinho Jang",
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          "headline": "Add Step3p7 JANG runtime bridge",
          "author_name": "Jinho Jang",
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          "committed_at": "2026-06-11T22:29:24Z",
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          "headline": "Update jang tools runtime package surface",
          "author_name": "Jinho Jang",
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                "key": "openssf_scorecard_maintained",
                "name": "OpenSSF Scorecard: Maintained",
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                "key": "ships_releases",
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              {
                "key": "release_cadence",
                "name": "Release cadence",
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                ],
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                "key": "openssf_scorecard_signed_releases",
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                "points": 0,
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          },
          {
            "key": "abandonment",
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        ],
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        "weight": 0.18,
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            "components": [
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                "key": "stars",
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                "max_points": 60
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              {
                "key": "forks",
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                "max_points": 25
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              {
                "key": "watchers",
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                "details": [
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                    "code": "watchers",
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                "max_points": 15
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          },
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            "key": "community_health",
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            "note": null,
            "notes": [],
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            "inputs": {
              "has_readme": true,
              "has_license": false,
              "has_contributing": false,
              "has_issue_template": false,
              "has_code_of_conduct": false,
              "has_pull_request_template": false
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            "components": [
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                "key": "readme",
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              {
                "key": "license",
                "name": "License",
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                    "code": "license_absent",
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                "max_points": 22.5
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              {
                "key": "code_of_conduct",
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              {
                "key": "issue_template",
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        ],
        "description": "Does the project have users, downloads, attention, and a welcoming setup for contributors?"
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      {
        "key": "governance",
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        "name": "Sustainability & Governance",
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            "note": null,
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                "key": "bus_factor",
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                "key": "commit_distribution",
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                "points": 0,
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                "details": [
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                    "code": "top_contributor_share",
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                "max_points": 22.5
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                "key": "contributor_breadth",
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                    "code": "contributors_sampled",
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                ],
                "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": "critical",
            "name": "Issue & PR responsiveness",
            "note": null,
            "notes": [],
            "value": 12,
            "inputs": {
              "merged_prs": 1,
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              "closed_issues": 1,
              "issue_closed_ratio": 0.1,
              "closed_unmerged_prs": 4
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            "components": [
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                "key": "issue_resolution",
                "name": "Issue resolution",
                "detail": "10% of issues closed",
                "points": 4.7,
                "status": "partial",
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                  {
                    "code": "issues_closed_share",
                    "params": {
                      "share": 10
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                  }
                ],
                "max_points": 46.75
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              {
                "key": "pr_acceptance",
                "name": "PR acceptance",
                "detail": "1/5 decided PRs merged",
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                    "code": "decided_prs_merged",
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                      "merged": 1,
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                ],
                "max_points": 38.25
              },
              {
                "key": "openssf_scorecard_code_review",
                "name": "OpenSSF Scorecard: Code-Review",
                "detail": "Found 0/30 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
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            ]
          },
          {
            "key": "stewardship",
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            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
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              },
              {
                "code": "weights_renormalized",
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            ],
            "value": 50,
            "inputs": {
              "followers": 217,
              "owner_type": "User",
              "is_verified": null,
              "owner_login": "jjang-ai",
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              "account_age_days": 1115
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            "components": [
              {
                "key": "ownership_backing",
                "name": "Ownership backing",
                "detail": "personal (user) account",
                "points": 10,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_personal",
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                ],
                "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",
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                ],
                "max_points": 20
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              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "217 followers of jjang-ai",
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                "status": "partial",
                "details": [
                  {
                    "code": "owner_followers",
                    "params": {
                      "count": 217,
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                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "8 public repos, account ~3 yr old",
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                "details": [
                  {
                    "code": "public_repos",
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                  {
                    "code": "account_age_years",
                    "params": {
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                ],
                "max_points": 25
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            ]
          },
          {
            "key": "package_maintenance",
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            "name": "Package maintenance",
            "note": null,
            "notes": [],
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            "inputs": {
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              "ecosystems": "pypi",
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              "min_days_since_publish": 0
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                "key": "published_resolvable",
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                "points": 25,
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                "details": [
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                  }
                ],
                "max_points": 25
              },
              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 0 days ago",
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                "max_points": 35
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                "key": "version_history",
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                ],
                "max_points": 20
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              {
                "key": "not_deprecated",
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                "detail": "active, not deprecated or yanked",
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                    "code": "package_not_deprecated",
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                ],
                "max_points": 20
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            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
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        "metrics": [
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            "key": "engineering_practices",
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              {
                "code": "excluded_no_data",
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              },
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                "code": "weights_renormalized",
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            "inputs": {
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                "key": "ci_workflows",
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                "detail": "1 workflow(s)",
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                    "code": "ci_workflows",
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                ],
                "max_points": 24
              },
              {
                "key": "tests_present",
                "name": "Tests present",
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              },
              {
                "key": "linter_config",
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                "key": "pre_commit_hooks",
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              },
              {
                "key": "editorconfig",
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              {
                "key": "openssf_scorecard_ci_tests",
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                ],
                "max_points": 20
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            ]
          },
          {
            "key": "documentation",
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            "notes": [],
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            "inputs": {
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                "key": "documentation_directory",
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                "key": "documentation_homepage_site",
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                "key": "topics",
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              {
                "key": "wiki",
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            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
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      {
        "key": "security",
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                "code": "excluded_no_data",
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              },
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                "code": "weights_renormalized",
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            ],
            "value": 26,
            "inputs": {
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              {
                "key": "branch_protection",
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                "key": "ci_tests",
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                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
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                "points": 0,
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              },
              {
                "key": "code_review",
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              },
              {
                "key": "contributors",
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                "detail": "project has 1 contributing companies or organizations -- score normalized to 3",
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              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
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                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
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                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
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                "status": "missed",
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                "max_points": 5
              },
              {
                "key": "license",
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                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 0 issue activity found in the last 90 days -- score normalized to 10",
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                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow not detected",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
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                ],
                "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": "no SAST tool detected",
                "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": "Project has not signed or included provenance with any releases.",
                "points": 0,
                "status": "missed",
                "details": [],
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      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Star history unavailable: GitHub GraphQL error: Resource not accessible by personal access token",
    "Could not fetch pypi package 'jang-ralph-runner' from its registry",
    "GitHub dependency-graph SBOM unavailable (404); the dependency graph may be disabled for this repository",
    "deps.dev does not index pypi:jang@2.5.33; advisories assessed against the repository dependency graph instead"
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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 v0.26.0 — повна методологія · вікі метрик.

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