leandroveronezi/go-recognizer має індекс здоров’я 54 зі 100, що відповідає смузі «Помірний». Найвищий показник — Engineering Quality (62/100), найнижчий — Community & Adoption (45/100). 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)
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.
Прямі залежності без відомих сповіщень — жодна пряма залежність не має відомих сповіщень
0/25
Непрямі залежності без відомих сповіщень — транзитивний набір не відокремлюється від залежностей розробки й тестування в цьому обсязі
0/40
Немає задавнених сповіщень — жодне сповіщення не має дати публікації
Використані вхідні дані
source
osv
advisories
0
affected_packages
0
assessed_packages
5
unassessed_packages
0
affected_by_severity
none
direct_affected_packages
0
Виключено з оцінювання (немає даних або не застосовно): Непрямі залежності без відомих сповіщень, Немає задавнених сповіщень. Залишкові ваги перенормовано. Звірено 5 резолвлених залежностей із OSV. Цей репозиторій не публікує пакета, який резолвить індекс, тож натомість оцінено граф залежностей репозиторію. Цей граф змішує закріплені версії для розробки й тестування зі справді постачаними залежностями, тож оцінюються лише задекларовані runtime-залежності; транзитивні знахідки подаються як контекст і в оцінку не входять. Досяжність не аналізується.
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.
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.
Мажорні 1Мінорні 0Патчі 1
Кожна точка охоплює 6 днів.
OpenSSF Scorecard 4.7 / 10
4.7сукупно
Незалежна, не прив'язана до інструментів оцінка безпеки від відкритого проєкту OpenSSF Scorecard. Кожна перевірка винагороджує практику безпеки, а не інструмент конкретного постачальника. Перевірки, які Scorecard не зміг визначити, позначено н/д і виключено з оцінки безпеки (вони ніколи не зараховуються як нуль).Scorecard v5.5.0 · 2026-07-22 08:45 UTC
Повний розв'язаний набір залежностей із графа залежностей GitHub: 4 прямих і 1 непрямих (транзитивних) пакетів. Транзитивне замикання є повним, коли в репозиторії закомічено lockfile.
Реєстр
Пакет
Версія
Зв'язок
Go
github.com/fogleman/gg
v1.3.0
пряма
Go
github.com/golang/freetype
v0.0.0-20170609003504-e2365dfdc4a0
пряма
Go
github.com/leandroveronezi/go-face
v1.1.0
пряма
Go
golang.org/x/image
v0.44.0
пряма
Go
github.com/leandroveronezi/go-recognizer
v1.1.0
непряма
Сповіщення про залежності 0
Цей репозиторій не публікує пакета, який розпізнає індекс, тож оцінено його власний граф залежностей — 5 пакетів, серед яких є й піниї розробки та тестування, що ніколи не постачаються: 0 мають відомі сповіщення, з них 0 прямі.
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": [
"golang",
"face-recognition",
"face-detection",
"dlib-face-detection",
"dlib-face-recognition",
"cnn-classification",
"computer-vision",
"go"
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"is_fork": false,
"size_kb": 29512,
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"homepage": "https://leandroveronezi.github.io/go-recognizer",
"languages": {
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},
"pushed_at": "2026-07-21T13:46:45Z",
"created_at": "2020-02-29T19:07:10Z",
"owner_type": "User",
"updated_at": "2026-07-21T13:48:30Z",
"description": "Face detection and recognition using golang",
"is_archived": false,
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"license_spdx": "MIT",
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"primary_language": "Go",
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"Go"
]
},
"owner": {
"blog": null,
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"login": "leandroveronezi",
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"avatar_url": "https://avatars.githubusercontent.com/u/25439856?v=4",
"created_at": "2017-01-30T19:00:10Z",
"is_verified": null,
"public_repos": 21,
"account_age_days": 3459
},
"license": {
"state": "standard",
"spdx_id": "MIT",
"raw_spdx": "MIT",
"file_present": true,
"scorecard_found": true,
"profile_has_license": true
},
"activity": {
"releases": [
{
"tag": "v1.0.1",
"kind": "patch",
"published_at": "2023-04-17T18:00:38Z"
},
{
"tag": "v1.0.0",
"kind": "major",
"published_at": "2021-02-01T18:03:50Z"
}
],
"recent_commits": [
{
"oid": "d00c43f76ffb3a2b603c53e244c6204cea1d9fa1",
"body": null,
"is_bot": false,
"headline": "README: render the dlib note as a GitHub [!NOTE] callout",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-21T13:46:43Z",
"body_truncated": false,
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},
{
"oid": "da2471e0465b738ef2f6f543321db519bd9a5d1a",
"body": "The shortened version pointing to go-face's README for specifics was\nless clear standalone -- use the same full paragraph in both.",
"is_bot": false,
"headline": "README: match go-face's full dlib-datedness note verbatim",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-21T13:41:49Z",
"body_truncated": false,
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},
{
"oid": "62d71784b1549cba8a644eaf73b73c4bfc3a21c1",
"body": "Points to go-onnxface for actively-developed alternatives; see\ngo-face's README for the specifics behind the claim.",
"is_bot": false,
"headline": "README: note that dlib's face pipeline predates modern models",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-21T13:34:36Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "7817c13609cbcdf4ef4e137189cd1661d8625224",
"body": "RecognizeSingle genuinely returns ErrNotSingleFace (unlike\nRecognizeMultiples/IdentifyMultiples, which return an empty/partial\nlist instead of erroring), so it's worth showing the errors.Is check\nhere too.",
"is_bot": false,
"headline": "examples: demonstrate ErrNotSingleFace in the landmarks example",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-20T13:48:30Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "aec4919f9699f2a7fda9e02774bc6f2f7201108f",
"body": "Makes the ErrNoFace/ErrNotSingleFace check visible where it actually\nhappens (AddImageToDataset), instead of only in the README's Errors\nsection.",
"is_bot": false,
"headline": "examples: demonstrate sentinel error handling with errors.Is",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-20T13:44:42Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4c2041a2b91937112bb10f624deee2db4e8b00a2",
"body": null,
"is_bot": false,
"headline": "examples: bump go-recognizer/go-face to v1.1.0 (Identify rename)",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-20T13:32:43Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "67037a81bb0e652599977fa8983ab007f6c3084c",
"body": "Aligns with go-face's Identify/IdentifyThreshold rename (breaking, no\nalias) and biometric terminology (Detect -> Recognize -> Compare ->\nIdentify).\n\nAlso replaces string-matched error messages with exported sentinel\nerrors (ErrNoFace, ErrNotSingleFace, ErrNoMatch, ErrDatasetFileNotFound)\ncheckable via errors.Is, and fixes a stale doc comment on Identify that\nclaimed it returns an empty list on no match (it returns ErrNoMatch).\n\nRequires go-face v1.1.0.",
"is_bot": false,
"headline": "Rename Classify to Identify/IdentifyMultiples; add sentinel errors",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-20T13:30:15Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "54bef48e25f885bfc8b7105a9ac28ed2531fb3ee",
"body": "Downloads shape_predictor_5_face_landmarks.dat,\ndlib_face_recognition_resnet_model_v1.dat, and\nmmod_human_face_detector.dat from the dlib-models repository into a\ngiven directory, skipping any file that's already there -- safe to\ncall unconditionally before Init on every startup, similar to how\nlibr\n[…]\nhe real models.\n\nNote: this adds a real ~30s network download to the test suite's\ndefault run (test suite went from ~26s to ~66s) -- flagging in case\nthat's worth gating behind `go test -short` later.",
"is_bot": false,
"headline": "Add DownloadModels to fetch default model files if missing",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-18T16:47:30Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "de9e3b2aceb0af80c2c7d7f81a9f7ead876807e0",
"body": "Multi-stage build: compiles dlib from source on Alpine (which has no\ndlib package), builds the detection example against it (dlib links\nstatically, so the runtime stage doesn't need it), and produces a\n~50MB runtime image with just the shared libraries the compiled binary\nactually needs (found via a\n[…]\nts dlib's old cmake_minimum_required() declarations)\nwithout them.\n\nVerified by actually building and running the image: all 7 faces in\nelenco3.jpg detected and labeled correctly inside the container.",
"is_bot": false,
"headline": "examples: add Docker build example (Kagami/go-face#76)",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-18T16:33:25Z",
"body_truncated": true,
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},
{
"oid": "dc7693171a26271640971761c2a7aa58520383f0",
"body": null,
"is_bot": false,
"headline": "examples: bump go-recognizer to v1.0.9",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-18T15:27:02Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "3d9546b40c461773c9f024e34d5e5736814a1151",
"body": "AddImageToDataset, RecognizeSingle, and RecognizeMultiples used to\nwrite a grayscale JPEG to a temp file just so go-face could immediately\ndecode that same JPEG back into pixels. With go-face v1.0.7's\nRecognizeRaw (Kagami/go-face#69), the already-decoded, already-grayed\npixels go straight to goFace \n[…]\n- faces.jpg/faces2.jpg came\nout byte-identical (annotation draws over the original color image, not\nthe internal recognition path), landmarks.jpg shifted by ordinary\ndecoder-rounding differences only.",
"is_bot": false,
"headline": "Skip the temp-file/JPEG round trip when UseGray is set",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-18T15:25:15Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "5f2db5d9d52705d9204b9b5b550af0242cd185ea",
"body": null,
"is_bot": false,
"headline": "README: add CI status badge",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-18T14:57:15Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "91747a5214211ece495bf24c354f7574cf656914",
"body": null,
"is_bot": false,
"headline": "ci: use go mod tidy instead of go mod download to populate go.sum",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-18T14:53:33Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "528d6cf5fcd3f2e3167c325175b9993c9e1bc4e7",
"body": null,
"is_bot": false,
"headline": "ci: download deps before build (go.sum isn't tracked in this repo)",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-18T14:52:19Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "0dc93978ca457b4d628cb1dd7956b67f639a2bd2",
"body": "No CI existed before this -- the exact gap that let the GrayScale/JPEG\nregression found earlier this session land on master undetected, since\ngo build/go vet don't exercise runtime behavior. This runs the full\ntest suite (and govulncheck) automatically instead of relying on\nsomeone noticing manually.",
"is_bot": false,
"headline": "Add CI: build, vet, test -race, govulncheck on every push/PR",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-18T14:51:20Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "3dbf889a76e9d98650a7dc0f5635fd421445cd22",
"body": null,
"is_bot": false,
"headline": "examples: bump go-recognizer to v1.0.8",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-18T14:35:36Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "5cd0550f2357731b55b5b3f778f5627ec69334b6",
"body": null,
"is_bot": false,
"headline": "Bump go-face to v1.0.5 (fixes upstream Kagami/go-face#82 build error)",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-18T14:34:12Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b21880ed01bb0b60d30bf7f2fc14009f64ebd973",
"body": "go-face's own file loader only understands JPEG, but go-recognizer\nalready worked around this: with the default UseGray=true,\nAddImageToDataset/RecognizeFile decode the source with Go's standard\nimage package (PNG is supported here via fogleman/gg's transitive\nimage/png import) and re-encode as JPEG\n[…]\nhich case is covered: with UseGray=false the file\ngoes straight to go-face's JPEG-only loader, so PNG fails there --\ndocumented and tested as the boundary of the workaround, not silently\nglossed over.",
"is_bot": false,
"headline": "Document and test PNG support via UseGray (Kagami/go-face#45)",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-18T14:20:37Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "726d9000dbdbfd5c7b53a8a96b650a6379cebc94",
"body": "Same pattern as Model.Landmark: set before Init to point the resnet\ndescriptor and/or CNN detector loading at differently-named or\nfine-tuned model files, instead of go-face's defaults. Backed by\ngo-face v1.0.4's generalized NewRecognizerWithModels.\n\nAdded regression tests proving both are genuinely honored (a wrong\nfilename fails to load; a renamed file loads and produces working\ndescriptors/detections through the configured name, not the default).",
"is_bot": false,
"headline": "Expose Model.Descriptor and Model.CNN alongside Model.Landmark",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-18T14:08:05Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "eb7f62d4cf0cc7a2b15b3f9112b7fe99d541c961",
"body": "No tests existed before this -- the grayscale/JPEG regression found\nearlier this session was only caught by manually exercising\nAddImageToDataset end-to-end, not by build/vet. Uses the models/photos\nalready checked into examples/ rather than duplicating fixtures.\n\nrecognizer_test.go:\n- Init loads th\n[…]\n), with no dlib/model files needed.\n- DrawFaces/DrawFaces2/DrawLandmarks smoke tests using synthesized\n Face/goFace.Face values, also without needing real detection.\n- SaveImage/LoadImage round trip.",
"is_bot": false,
"headline": "Add automated test suite",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-18T13:53:42Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "b569b2ba4d4c79871e36ab82a932e97ea9129c5b",
"body": null,
"is_bot": false,
"headline": "README: document rec.Model.Landmark (68-point landmark option)",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-18T13:48:45Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "34692ab181c16593f3cbcb1a56297273cdcccfa8",
"body": "Set rec.Model.Landmark = \"shape_predictor_68_face_landmarks.dat\" before\nInit for full facial contour landmarks (jawline, eyebrows, nose bridge,\neyes, lips) in Face.Shapes, instead of the default 5-point model. Backed\nby go-face v1.0.3's NewRecognizerWithShapePredictor.\n\nVerified end-to-end: 68-point model returns 68 shapes and draws the full\ncontour via DrawLandmarks; default (empty Model.Landmark) still returns\n5 shapes as before.",
"is_bot": false,
"headline": "Add Model.Landmark to select a non-default shape predictor",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-18T13:47:41Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "b75cfd85fd0ed16532367a7c7fdbf50a47be4cc7",
"body": "- New Features bullets for incremental dataset updates, match\n distance/confidence, and landmarks.\n- Face recognition example updated to match recognition/main.go (no\n more SetSamples() call, prints Distance/Confidence per match).\n- New Face landmarks section with the landmarks/ example and result\n image.\n- Note that examples now live one per subfolder and must be run from\n inside examples/.",
"is_bot": false,
"headline": "README: document landmarks/distance/confidence, add landmarks example",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-18T13:33:12Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "4c59ba72d888319fcb142ba907e8ff95bd81e5dc",
"body": "- Move detection.go and recognition.go into their own detection/ and\n recognition/ packages: both were package main with their own\n func main() in the same directory, so go build ./... in this module\n has never actually succeeded until now.\n- New landmarks/ example: runs RecognizeSingle on fotos/\n[…]\nfier in sync incrementally as of\n go-recognizer v1.0.5) and prints each match's Distance/Confidence.\n- Bump to go-recognizer v1.0.5 / go-face v1.0.2.\n- Regenerate faces.jpg/faces2.jpg output samples.",
"is_bot": false,
"headline": "examples: reorganize into subfolders, add landmarks example",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-18T13:31:51Z",
"body_truncated": true,
"is_coding_agent": false
},
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"oid": "50b70e945b8157233b64f75e7f79315da04ea323",
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"band": "moderate",
"name": "Sustainability & Governance",
"value": 53,
"weight": 0.24,
"metrics": [
{
"key": "maintainer_resilience",
"band": "critical",
"name": "Maintainer resilience (bus factor)",
"note": null,
"notes": [],
"value": 10,
"inputs": {
"bus_factor": 1,
"contributors_sampled": 1,
"top_contributor_share": 1
},
"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 100% of commits",
"points": 0,
"status": "missed",
"details": [
{
"code": "top_contributor_share",
"params": {
"share": 100
}
}
],
"max_points": 22.5
},
{
"key": "contributor_breadth",
"name": "Contributor breadth",
"detail": "1 contributors",
"points": 1.4,
"status": "partial",
"details": [
{
"code": "contributors_sampled",
"params": {
"count": 1
}
}
],
"max_points": 13.5
},
{
"key": "openssf_scorecard_contributors",
"name": "OpenSSF Scorecard: Contributors",
"detail": "project has 0 contributing companies or organizations -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
},
{
"key": "responsiveness",
"band": "good",
"name": "Issue & PR responsiveness",
"note": "Excluded from scoring (no data or not applicable): Issue resolution. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"issue_resolution"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 72,
"inputs": {
"merged_prs": 2,
"open_issues": 0,
"closed_issues": 0,
"issue_closed_ratio": null,
"closed_unmerged_prs": 0
},
"components": [
{
"key": "issue_resolution",
"name": "Issue resolution",
"detail": "no issues or no data",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_issues_or_data",
"params": {}
}
],
"max_points": 46.75
},
{
"key": "pr_acceptance",
"name": "PR acceptance",
"detail": "2/2 decided PRs merged",
"points": 38.2,
"status": "met",
"details": [
{
"code": "decided_prs_merged",
"params": {
"merged": 2,
"decided": 2
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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
}
]
},
{
"key": "stewardship",
"band": "at_risk",
"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": 47,
"inputs": {
"followers": 6,
"owner_type": "User",
"is_verified": null,
"owner_login": "leandroveronezi",
"public_repos": 21,
"account_age_days": 3459
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"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": "6 followers of leandroveronezi",
"points": 6.1,
"status": "partial",
"details": [
{
"code": "owner_followers",
"params": {
"count": 6,
"login": "leandroveronezi"
}
}
],
"max_points": 25
},
{
"key": "track_record",
"name": "Track record",
"detail": "21 public repos, account ~9 yr old",
"points": 21.8,
"status": "partial",
"details": [
{
"code": "public_repos",
"params": {
"count": 21
}
},
{
"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": [
"github.com/leandroveronezi/go-recognizer"
],
"ecosystems": "go",
"any_deprecated": false,
"min_days_since_publish": 1
},
"components": [
{
"key": "published_resolvable",
"name": "Published & resolvable",
"detail": "1 package(s) on go",
"points": 25,
"status": "met",
"details": [
{
"code": "packages_published",
"params": {
"count": 1,
"ecosystems": "go"
}
}
],
"max_points": 25
},
{
"key": "publish_recency",
"name": "Publish recency",
"detail": "latest publish 1 days ago",
"points": 35,
"status": "met",
"details": [
{
"code": "publish_recency",
"params": {
"days": 1
}
}
],
"max_points": 35
},
{
"key": "version_history",
"name": "Version history",
"detail": "11 published versions",
"points": 20,
"status": "met",
"details": [
{
"code": "published_versions",
"params": {
"count": 11
}
}
],
"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": "moderate",
"name": "Engineering Quality",
"value": 62,
"weight": 0.2,
"metrics": [
{
"key": "engineering_practices",
"band": "moderate",
"name": "Engineering practices",
"note": "Excluded from scoring (no data or not applicable): OpenSSF Scorecard: CI-Tests. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
"openssf_scorecard_ci_tests"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 60,
"inputs": {
"has_ci": true,
"has_tests": true,
"has_editorconfig": false,
"has_linter_config": false,
"has_precommit_config": false
},
"components": [
{
"key": "ci_workflows",
"name": "CI workflows",
"detail": "1 workflow(s)",
"points": 24,
"status": "met",
"details": [
{
"code": "ci_workflows",
"params": {
"count": 1
}
}
],
"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": 0,
"status": "missed",
"details": [],
"max_points": 16
},
{
"key": "pre_commit_hooks",
"name": "Pre-commit hooks",
"detail": null,
"points": 0,
"status": "missed",
"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": "no pull request found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 20
}
]
},
{
"key": "documentation",
"band": "moderate",
"name": "Documentation",
"note": null,
"notes": [],
"value": 65,
"inputs": {
"topics": [
"golang",
"face-recognition",
"face-detection",
"dlib-face-detection",
"dlib-face-recognition",
"cnn-classification",
"computer-vision",
"go"
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"has_wiki": false,
"homepage": "https://leandroveronezi.github.io/go-recognizer",
"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": "https://leandroveronezi.github.io/go-recognizer",
"points": 15,
"status": "met",
"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": "8 topics",
"points": 10,
"status": "met",
"details": [
{
"code": "topics_count",
"params": {
"count": 8
}
}
],
"max_points": 10
},
{
"key": "wiki",
"name": "Wiki",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 10
}
]
}
],
"description": "Are baseline engineering and documentation practices in place?"
},
{
"key": "security",
"band": "moderate",
"name": "Security",
"value": 58,
"weight": 0.16,
"metrics": [
{
"key": "security_posture",
"band": "at_risk",
"name": "Security posture",
"note": "Excluded from scoring (no data or not applicable): CI-Tests, Packaging, Signed-Releases. Remaining weights renormalized.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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"packaging",
"signed_releases"
]
}
},
{
"code": "weights_renormalized",
"params": {}
}
],
"value": 47,
"inputs": {
"source": "openssf_scorecard",
"checks_evaluated": 15,
"scorecard_version": "v5.5.0",
"checks_inconclusive": 3,
"scorecard_aggregate": 4.7
},
"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 not enabled on development/release branches",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "ci_tests",
"name": "CI-Tests",
"detail": "no pull request found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"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 0/30 approved changesets -- score normalized to 0",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "contributors",
"name": "Contributors",
"detail": "project has 0 contributing companies or organizations -- score normalized to 0",
"points": 0,
"status": "missed",
"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": "update tool detected",
"points": 7.5,
"status": "met",
"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 0 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 not detected",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"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": "no releases found",
"points": 0,
"status": "excluded",
"details": [
{
"code": "no_data",
"params": {}
}
],
"max_points": 7.5
},
{
"key": "token_permissions",
"name": "Token-Permissions",
"detail": "detected GitHub workflow tokens with excessive permissions",
"points": 0,
"status": "missed",
"details": [],
"max_points": 7.5
},
{
"key": "vulnerabilities",
"name": "Vulnerabilities",
"detail": "0 existing vulnerabilities detected",
"points": 7.5,
"status": "met",
"details": [],
"max_points": 7.5
}
]
},
{
"key": "dependency_advisories",
"band": "excellent",
"name": "Dependency advisories",
"note": "Excluded from scoring (no data or not applicable): Indirect dependencies free of known advisories, No advisories left outstanding. Remaining weights renormalized. Matched 5 resolved dependencies against OSV. This repository publishes no package the index resolves, so the repository dependency graph was assessed instead. That graph mixes development and test pins with shipped dependencies, so only the declared runtime dependencies are scored; transitive findings are reported as context and excluded from the score. Reachability is not analyzed.",
"notes": [
{
"code": "excluded_no_data",
"params": {
"components": [
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"no_advisories_left_outstanding"
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}
},
{
"code": "weights_renormalized",
"params": {}
},
{
"code": "advisories_scope_repository",
"params": {
"assessed": 5
}
},
{
"code": "advisories_repo_graph_caveat",
"params": {}
},
{
"code": "advisories_reachability",
"params": {}
}
],
"value": 100,
"inputs": {
"source": "osv",
"advisories": 0,
"affected_packages": 0,
"assessed_packages": 5,
"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": "transitive set not separable from development and test dependencies in this scope",
"points": 0,
"status": "excluded",
"details": [
{
"code": "advisories_scope_not_separable",
"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": 5,
"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
}
]
}
],
"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": 58,
"weight": 0,
"metrics": [
{
"key": "ai_agent_context",
"band": "critical",
"name": "Agent context & guidance",
"note": null,
"notes": [],
"value": 28,
"inputs": {
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"legible_history_share": 0.515,
"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",
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}
],
"max_points": 45
},
{
"key": "machine_readable_docs_llms_txt",
"name": "Machine-readable docs (llms.txt)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 15
},
{
"key": "legible_commit_history",
"name": "Legible commit history",
"detail": "34 of 66 human commits state their intent (structured subject or explanatory body)",
"points": 27.5,
"status": "partial",
"details": [
{
"code": "legible_history",
"params": {
"legible": 34,
"sampled": 66
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}
],
"max_points": 40
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]
},
{
"key": "ai_verify_loop",
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"name": "Verify loop (build / test / typecheck)",
"note": null,
"notes": [],
"value": 72,
"inputs": {
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"has_tests": true,
"lockfiles": [],
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"toolchain_manifests": [
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"dependency_bot_commit_share": 0.029
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"components": [
{
"key": "one_command_bootstrap",
"name": "One-command bootstrap",
"detail": "examples/go.mod, go.mod (toolchain convention, no task runner)",
"points": 12.6,
"status": "partial",
"details": [
{
"code": "toolchain_convention",
"params": {
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}
],
"max_points": 18
},
{
"key": "automated_tests",
"name": "Automated tests",
"detail": null,
"points": 22,
"status": "met",
"details": [],
"max_points": 22
},
{
"key": "lint_format_config",
"name": "Lint / format config",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 11
},
{
"key": "static_type_checking",
"name": "Static type checking",
"detail": "Go (statically typed)",
"points": 11,
"status": "met",
"details": [
{
"code": "statically_typed_language",
"params": {
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}
],
"max_points": 11
},
{
"key": "reproducible_environment",
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"detail": "Dockerfile",
"points": 10,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
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}
],
"max_points": 10
},
{
"key": "demonstrated_agent_practice",
"name": "Demonstrated agent practice",
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"points": 8.8,
"status": "partial",
"details": [
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}
],
"max_points": 10
},
{
"key": "automated_maintenance",
"name": "Automated maintenance",
"detail": "2 of the last 68 commits are automated dependency updates",
"points": 8,
"status": "met",
"details": [
{
"code": "dependency_bot_commits",
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}
],
"max_points": 8
},
{
"key": "openssf_scorecard_pinned_dependencies",
"name": "OpenSSF Scorecard: Pinned-Dependencies",
"detail": "dependency not pinned by hash detected -- score normalized to 0",
"points": 0,
"status": "missed",
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}
]
},
{
"key": "ai_code_legibility",
"band": "excellent",
"name": "Code legibility for models",
"note": null,
"notes": [],
"value": 100,
"inputs": {
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"largest_source_bytes": 12937,
"source_files_sampled": 10,
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"components": [
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"name": "Type-checkable code",
"detail": "Go (statically typed)",
"points": 45,
"status": "met",
"details": [
{
"code": "statically_typed_language",
"params": {
"language": "Go"
}
}
],
"max_points": 45
},
{
"key": "manageable_file_sizes",
"name": "Manageable file sizes",
"detail": "0/10 source files over 60KB",
"points": 55,
"status": "met",
"details": [
{
"code": "oversized_source_files",
"params": {
"kb": 60,
"sampled": 10,
"oversized": 0
}
}
],
"max_points": 55
}
]
},
{
"key": "ai_interfaces",
"band": "at_risk",
"name": "Machine-readable interfaces",
"note": null,
"notes": [],
"value": 40,
"inputs": {
"example_dirs": [
"examples"
],
"has_mcp_signal": false,
"api_schema_files": []
},
"components": [
{
"key": "api_schema_openapi_graphql_proto",
"name": "API schema (OpenAPI/GraphQL/proto)",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 40
},
{
"key": "mcp_server",
"name": "MCP server",
"detail": null,
"points": 0,
"status": "missed",
"details": [],
"max_points": 20
},
{
"key": "runnable_examples",
"name": "Runnable examples",
"detail": "examples",
"points": 40,
"status": "met",
"details": [
{
"code": "file_list",
"params": {
"files": "examples"
}
}
],
"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": [],
"report_type": "repository",
"generated_at": "2026-07-22T08:45:48.249276Z",
"schema_version": "0.26.0",
"badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/l/leandroveronezi/go-recognizer.svg",
"full_name": "leandroveronezi/go-recognizer",
"license_state": "standard",
"license_spdx": "MIT"
}
Пов’язані записи
Перевірені репозиторії, що мають спільні каталожні теги або екосистеми з leandroveronezi/go-recognizer. Читати поруч →
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.
