Публічний реєстр
Звіт про здоров'я програмного забезпеченнясхема 0.11.0 · метрики 1.13.0 · 2026-07-14 22:34 UTC

neelnanda-io / TransformerLens

A library for mechanistic interpretability of GPT-style language models

PythonMIT★ 3 674 зірки⑂ 632 форкиз серп. 2022 р.Переглянути на GitHub ↗

neelnanda-io/TransformerLens має індекс здоров’я 76 зі 100, що відповідає смузі «Добрий». Найвищий показник — Vitality (96/100), найнижчий — Security (45/100). Останнє оновлення — сьогодні. Більшість нещодавньої роботи виконують 3 учасники.

76
загалом / 100
Добрий

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.

76
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

TransformerLensOrgОрганізація
89 підписників3 публічні репозиторіїз трав. 2024 р.

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

Пакетні екосистеми

РеєстрПакетВерсіяЗавантажень / місВерсіїОстання публікація
PyPItransformer-lens3.5.187 9367012 днів тому

Метрики за категоріями

Життєздатність

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

96Відмінний · 22% загального індексу
Як обчислюється оцінка
36/36Свіжість push — останній push 0 дн. тому
30.5/36Ритм комітів — 44/52 тижнів із комітами
18/18Обсяг комітів — 479 комітів за останній рік
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 28 issue activity found in the last 90 days -- score normalized to 10
Використані вхідні дані
commits_last_year479
human_commit_share
days_since_last_push0
active_weeks_last_year44
Як обчислюється оцінка
27/27Випускає релізи — опубліковано 80 релізів
36/36Свіжість релізів — останній реліз 13 дн. тому
27/27Ритм релізів — реліз кожні ~12,2 дн.
0/10OpenSSF Scorecard: Signed-Releases — немає даних
Використані вхідні дані
releases_count80
latest_release_tagv3.5.1
releases_from_tagsні
days_since_latest_release13
mean_days_between_releases12,2
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?

76Добрий · 18% загального індексу
Як обчислюється оцінка
57.8/60Зірки — 3 674 зірок
23.3/25Форки — 632 форків
7.7/15Спостерігачі — 25 спостерігачів
Використані вхідні дані
forks632
stars3 674
watchers25
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Як обчислюється оцінка
22.5/22.5README
22.5/22.5Ліцензія — визнана ліцензія (MIT)
0/18Настанови CONTRIBUTING
0/13.5Кодекс поведінки
0/7.2Шаблон issue
6.3/6.3Шаблон PR
Використані вхідні дані
has_readmeтак
has_licenseтак
has_contributingні
has_issue_templateні
has_code_of_conductні
has_pull_request_templateтак
Як обчислюється оцінка
65.9/80Щомісячні завантаження — 87 936 завантажень/місяць у pypi
0/20Залежні пакети в реєстрі — ця екосистема цього не повідомляє
Використані вхідні дані
packagestransformer-lens
dependents
ecosystemspypi
total_downloads
monthly_downloads87 936
Виключено з оцінювання (немає даних або не застосовно): Залежні пакети в реєстрі. Залишкові ваги перенормовано.

Сталість та врядування

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

76Добрий · 24% загального індексу
Як обчислюється оцінка
36/54Бас-фактор — на 3 контриб’ютор(ів) припадає половина всіх комітів
17.6/22.5Розподіл комітів — головний контриб’ютор — автор 22% комітів
13.5/13.5Широта контриб’юторів — 100 контриб’юторів
10/10OpenSSF Scorecard: Contributors — project has 16 contributing companies or organizations
Використані вхідні дані
bus_factor3
contributors_sampled100
top_contributor_share0,219
Як обчислюється оцінка
0/46.8Вирішення issue — немає issue або даних
0/38.3Прийняття PR — немає вирішених pull request-ів або даних
12/15OpenSSF Scorecard: Code-Review — Found 25/30 approved changesets -- score normalized to 8
Використані вхідні дані
merged_prs
open_issues
closed_issues
issue_closed_ratio
closed_unmerged_prs
Виключено з оцінювання (немає даних або не застосовно): Вирішення issue, Прийняття PR. Залишкові ваги перенормовано.
Як обчислюється оцінка
30/30Підтримка власника — у власності організації
0/20Верифікований домен
14.1/25Охоплення власника — 89 підписників у TransformerLensOrg
8.7/25Послужний список — 3 публічних репозиторіїв, вік облікового запису ~2 р.
Використані вхідні дані
followers89
owner_typeOrganization
is_verified
owner_loginTransformerLensOrg
public_repos3
account_age_days796

Супровід пакетів

100Відмінний
Як обчислюється оцінка
25/25Опубліковано й доступно — 1 пакет(ів) у pypi
35/35Свіжість публікацій — остання публікація 12 дн. тому
20/20Історія версій — 70 опублікованих версій
20/20Не застарілий — активний, не deprecated і не yanked
Використані вхідні дані
packagestransformer-lens
ecosystemspypi
any_deprecatedні
min_days_since_publish12

Інженерна якість

Чи наявні базові інженерні практики та документація?

77Добрий · 20% загального індексу
Як обчислюється оцінка
24/24Процеси CI — 2 процес(ів) CI
24/24Наявні тести
0/16Конфігурація лінтера
0/9.6Pre-commit-хуки
0/6.4.editorconfig
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_configні
has_precommit_configні

Документація

90Відмінний
Як обчислюється оцінка
30/30README
25/25Каталог документації
15/15Сайт документації / домашня сторінка — https://transformerlensorg.github.io/TransformerLens/
10/10Опис репозиторію
0/10Теми
10/10Wiki
Використані вхідні дані
topics
has_wikiтак
homepagehttps://transformerlensorg.github.io/TransformerLens/
has_readmeтак
has_docs_dirтак
has_descriptionтак

Безпека

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

45У зоні ризику · 16% загального індексу

Стан безпеки

45У зоні ризику
Як обчислюється оцінка
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — немає даних
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
6/7.5Code-Review — Found 25/30 approved changesets -- score normalized to 8
2.5/2.5Contributors — project has 16 contributing companies or organizations
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Ліцензія — license file detected
7.5/7.5Maintained — 30 commit(s) and 28 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 — 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 — 120 existing vulnerabilities detected
Використані вхідні дані
sourceopenssf_scorecard
checks_evaluated15
scorecard_versionv5.5.0
checks_inconclusive3
scorecard_aggregate4,5
Виключено з оцінювання (немає даних або не застосовно): branch_protection, packaging, signed_releases. Залишкові ваги перенормовано.

Готовність до ШІ

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

70Добрий · 0% загального індексу
Як обчислюється оцінка
45/45Інструкції для агентів — .cursor/rules/transformerlens.mdc, .github/copilot-instructions.md, AGENTS.md, CLAUDE.md, tests/AGENTS.md, transformer_lens/benchmarks/AGENTS.md, transformer_lens/config/AGENTS.md, transformer_lens/model_bridge/sources/AGENTS.md, transformer_lens/model_bridge/supported_architectures/AGENTS.md, transformer_lens/tools/model_registry/AGENTS.md
0/15Машиночитана документація (llms.txt)
0/40Читабельна історія комітів — немає даних
Використані вхідні дані
has_llms_txtні
legible_history_share
agent_instruction_files.cursor/rules/transformerlens.mdc, .github/copilot-instructions.md, AGENTS.md, CLAUDE.md, tests/AGENTS.md, transformer_lens/benchmarks/AGENTS.md, transformer_lens/config/AGENTS.md, transformer_lens/model_bridge/sources/AGENTS.md, transformer_lens/model_bridge/supported_architectures/AGENTS.md, transformer_lens/tools/model_registry/AGENTS.md
agent_instruction_max_bytes22 753
Виключено з оцінювання (немає даних або не застосовно): Читабельна історія комітів. Залишкові ваги перенормовано.
Як обчислюється оцінка
18/18Розгортання однією командою — docs/Makefile, makefile
22/22Автоматизовані тести
0/11Конфігурація лінтера / форматера
11/11Статична перевірка типів — transformer_lens/py.typed
10/10Відтворюване середовище — devcontainer, Dockerfile, lockfile
0/10Підтверджена практика роботи з агентами — немає даних
0/8Автоматизоване супроводження — немає даних
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_dockerfileтак
typed_languageні
bootstrap_filesdocs/Makefile, makefile
has_devcontainerтак
has_linter_configні
typecheck_configstransformer_lens/py.typed
agent_commit_share
toolchain_manifests
dependency_bot_commit_share
Виключено з оцінювання (немає даних або не застосовно): Підтверджена практика роботи з агентами, Автоматизоване супроводження. Залишкові ваги перенормовано.
Як обчислюється оцінка
27/45Типізований код — Python з конфігурацією перевірки типів (transformer_lens/py.typed)
54.3/55Керовані розміри файлів — 7/587 файлів вихідного коду понад 60 КБ
Використані вхідні дані
primary_languagePython
largest_source_bytes197 799
source_files_sampled587
oversized_source_files7
Як обчислюється оцінка
0/40Схема API (OpenAPI/GraphQL/proto)
0/20Сервер MCP
40/40Придатні до запуску приклади — demos, notebooks
Використані вхідні дані
example_dirsdemos, notebooks
has_mcp_signalні
api_schema_files

Ключові факти

3 674зірок GitHub
100контриб'юторів
479комітів за останні 12 місяців
0днів від останнього пушу
80релізів
3бас-фактор
-відкритих issue
PyPIпакетних екосистем

Попередження щодо збору даних

  • Some issue/PR counts unavailable (search API limit); rerun later

Докладніше

OpenSSF Scorecard 4.5 / 10
4.5сукупно

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 · 2026-07-14 22:34 UTC

10Binary-Artifactsno binaries found in the repo
н/дBranch-Protectioninternal error: error during branchesHandler.setup: internal error: some github tokens can't read classic branch protection rules: https://github.com/ossf/scorecard-action/blob/main/docs/authentication/fine-grained-auth-token.md
10CI-Tests30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0CII-Best-Practicesno effort to earn an OpenSSF best practices badge detected
8Code-ReviewFound 25/30 approved changesets -- score normalized to 8
10Contributorsproject has 16 contributing companies or organizations
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 28 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
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
0Vulnerabilities120 existing vulnerabilities detected
Прямі залежності 22
РеєстрПакетОбмеження версіїМаніфест
PyPIaccelerate>=0.23.0pyproject.toml
PyPIbeartype>=0.14.1pyproject.toml
PyPIbetter-abc>=0.0.3pyproject.toml
PyPIdatasets>=2.7.1pyproject.toml
PyPIeinops>=0.6.0pyproject.toml
PyPIfancy-einsum>=0.0.3pyproject.toml
PyPIhuggingface-hub>=0.23.2pyproject.toml
PyPIjaxtyping>=0.2.11pyproject.toml
PyPInumpy>=1.24pyproject.toml
PyPInumpy>=1.26pyproject.toml
PyPIpackaging>=23.0pyproject.toml
PyPIpandas>=1.1.5pyproject.toml
PyPIprotobuf>=3.20.0pyproject.toml
PyPIrich>=12.6.0pyproject.toml
PyPIsentencepiecepyproject.toml
PyPItorch>=2.6pyproject.toml
PyPItqdm>=4.64.1pyproject.toml
PyPItransformers-stream-generator>=0.0.5,<0.1pyproject.toml
PyPItransformers>=5.4.0pyproject.toml
PyPItypeguard>=4.2,<5pyproject.toml
PyPItyping-extensionspyproject.toml
PyPIwandb>=0.13.5pyproject.toml
Усі залежності 328

Повний розв'язаний набір залежностей із графа залежностей GitHub: 21 прямих і 307 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.

РеєстрПакетВерсіяЗв'язок
PyPIaccelerate1.9.0пряма
PyPIbeartype0.14.1пряма
PyPIbetter-abc0.0.3пряма
PyPIdatasets4.0.0пряма
PyPIeinops0.8.1пряма
PyPIfancy-einsum0.0.3пряма
PyPIhuggingface-hub1.15.0пряма
PyPIjaxtyping0.2.19пряма
PyPInumpy1.26.4пряма
PyPIpackaging25.0пряма
PyPIpandas2.3.1пряма
PyPIprotobuf6.31.1пряма
PyPIrich14.1.0пряма
PyPIsentencepiece0.2.1пряма
PyPItorch2.10.0пряма
PyPItqdm4.67.1пряма
PyPItransformers5.8.1пряма
PyPItransformers-stream-generator0.0.5пряма
PyPItypeguard4.4.4пряма
PyPItyping-extensions4.14.1пряма
PyPIwandb0.21.0пряма
PyPIabsl-py2.4.0непряма
PyPIaiofiles22.1.0непряма
PyPIaiohappyeyeballs2.6.1непряма
PyPIaiohttp3.12.14непряма
PyPIaiosignal1.4.0непряма
PyPIaiosqlite0.21.0непряма
PyPIalabaster0.7.16непряма
PyPIannotated-doc0.0.4непряма
PyPIannotated-types0.7.0непряма
PyPIannoy1.17.3непряма
PyPIanyio4.9.0непряма
PyPIappnope0.1.4непряма
PyPIargon2-cffi25.1.0непряма
PyPIargon2-cffi-bindings21.2.0непряма
PyPIarrow1.3.0непряма
PyPIasttokens3.0.1непряма
PyPIasync-timeout5.0.1непряма
PyPIattrs25.3.0непряма
PyPIaudioop-lts0.2.2непряма
PyPIbabel2.17.0непряма
PyPIbeautifulsoup44.13.4непряма
PyPIbitsandbytes0.49.2непряма
PyPIblack23.12.1непряма
PyPIbleach6.2.0непряма
PyPIbrotli1.2.0непряма
PyPIcertifi2025.7.14непряма
PyPIcffi2.0.0непряма
PyPIchardet5.2.0непряма
PyPIcharset-normalizer3.4.2непряма
PyPIcircuitsvis1.43.3непряма
PyPIclick8.2.1непряма
PyPIcloudpickle3.1.2непряма
PyPIcolorama0.4.6непряма
PyPIcomm0.2.3непряма
PyPIcontourpy1.3.2непряма
PyPIcontourpy1.3.3непряма
PyPIcoverage7.10.1непряма
PyPIcryptography46.0.7непряма
PyPIcuda-bindings12.9.4непряма
PyPIcuda-pathfinder1.5.5непряма
PyPIcycler0.12.1непряма
PyPIdataproperty1.1.0непряма
PyPIdebugpy1.8.15непряма
PyPIdecorator5.2.1непряма
PyPIdefusedxml0.7.1непряма
PyPIdill0.3.8непряма
PyPIdocutils0.20.1непряма
PyPIentrypoints0.4непряма
PyPIetils1.14.0непряма
PyPIetils1.13.0непряма
PyPIevaluate0.4.6непряма
PyPIexceptiongroup1.3.0непряма
PyPIexecnet2.1.1непряма
PyPIexecuting2.2.1непряма
PyPIfastapi0.136.0непряма
PyPIfastjsonschema2.21.1непряма
PyPIfilelock3.18.0непряма
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Звіт у форматі JSON машиночитний
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            "inputs": {
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              "has_pull_request_template": true
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            "value": 82,
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              "monthly_downloads": 87936
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                "max_points": 80
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              {
                "key": "registry_dependents",
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                "points": 0,
                "status": "excluded",
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        "key": "governance",
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        "weight": 0.24,
        "metrics": [
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                "key": "bus_factor",
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                "status": "partial",
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                "status": "partial",
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              {
                "key": "contributor_breadth",
                "name": "Contributor breadth",
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                "points": 13.5,
                "status": "met",
                "details": [
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                "key": "openssf_scorecard_contributors",
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          },
          {
            "key": "responsiveness",
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            "note": "Excluded from scoring (no data or not applicable): Issue resolution, PR acceptance. Remaining weights renormalized.",
            "notes": [
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                "code": "excluded_no_data",
                "params": {
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              {
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            "value": 40,
            "inputs": {
              "example_dirs": [
                "demos",
                "notebooks"
              ],
              "has_mcp_signal": false,
              "api_schema_files": []
            },
            "components": [
              {
                "key": "api_schema_openapi_graphql_proto",
                "name": "API schema (OpenAPI/GraphQL/proto)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 40
              },
              {
                "key": "mcp_server",
                "name": "MCP server",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "runnable_examples",
                "name": "Runnable examples",
                "detail": "demos, notebooks",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "demos, notebooks"
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          }
        ],
        "description": "How well is the repo equipped to be developed and maintained with AI coding agents? An independent, experimental badge — weight 0.0, so it is surfaced on its own and does not affect the overall health score."
      }
    ],
    "metrics_version": "1.13.0"
  },
  "warnings": [
    "Some issue/PR counts unavailable (search API limit); rerun later"
  ],
  "report_type": "repository",
  "generated_at": "2026-07-14T22:34:49.970798Z",
  "schema_version": "0.11.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/n/neelnanda-io/TransformerLens.svg",
  "full_name": "neelnanda-io/TransformerLens",
  "license_state": "standard",
  "license_spdx": "MIT"
}

Оцінки — це сигнали, а не гарантії. Вони відображають публічно видимі практики на GitHub — це не аудит коду й не гарантія безпеки.

Відсутні дані виключаються, а ваги перенормовуються — нуль за відсутність ніколи не ставиться. Методологія версіонована й відкрита: метрики v1.13.0, схема v0.11.0 — повна методологія · вікі метрик.

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