leandroveronezi/go-recognizer tiene un índice de salud de 54 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Engineering Quality (62/100) y la más baja, Community & Adoption (45/100). Se actualizó por última vez hoy. Una sola persona concentra la mayor parte del trabajo reciente.
54
global / 100
Moderado
Índice de salud del software
Las métricas se agrupan en categorías ponderadas sobre una escala de 1 a 100. El resultado global parte de su media; cuando la evidencia pública activa la Política de Jurisdicciones de Alto Riesgo, la calificación se ajusta y recibe el límite 49 (En riesgo). Preparación para IA queda fuera.
54
Excelente85-100Ejemplar; cumple prácticamente todos los criterios evaluados
Bueno70-84Saludable; carencias menores
Moderado50-69Aceptable con carencias notables; se recomienda revisión
En riesgo30-49Debilidades significativas; su adopción exige cautela
Crítico1-29Problemas graves (proyecto abandonado, un solo mantenedor, sin higiene)
Perfil de puntuación
Cada eje es una categoría. La forma importa más que la media: un proyecto sano llena toda la figura, mientras que un perfil de picos y cráteres indica que la fortaleza en una dimensión enmascara el riesgo en otra.
6 seguidores21 repositorios públicosdesde ene 2017
Este repositorio pertenece a una cuenta personal. Un proyecto con un único propietario conlleva más riesgo de continuidad que uno respaldado por una organización.
Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido
0/25
Dependencias indirectas libres de avisos conocidos — el conjunto transitivo no es separable de las dependencias de desarrollo y prueba en este alcance
0/40
Sin avisos pendientes — ningún aviso tiene fecha de publicación
Datos de entrada utilizados
source
osv
advisories
0
affected_packages
0
assessed_packages
5
unassessed_packages
0
affected_by_severity
none
direct_affected_packages
0
Excluidos de la puntuación (sin datos o no aplicable): Dependencias indirectas libres de avisos conocidos, Sin avisos pendientes. Los pesos restantes se han renormalizado. Se cotejaron 5 dependencias resueltas con OSV. Este repositorio no publica ningún paquete que el índice resuelva, por lo que se evaluó en su lugar el grafo de dependencias del repositorio. Ese grafo mezcla fijaciones de desarrollo y prueba con las dependencias distribuidas, de modo que solo se puntúan las dependencias declaradas en tiempo de ejecución; los hallazgos transitivos se informan como contexto y quedan excluidos de la puntuación. No se analiza la alcanzabilidad.
¿Hasta qué punto está el repositorio preparado para desarrollarse y mantenerse con agentes de codificación de IA? Es una insignia independiente y experimental — peso 0,0, de modo que se presenta por separado y no afecta a la puntuación de salud global.
Cuándo se añadió cada estrella y fork, recopilado de GitHub y agrupado por día. El crecimiento acumulado se sitúa justo encima de las adiciones diarias que lo componen, de modo que ambos se leen en conjunto: la acumulación orgánica sostenida no se parece en nada a un pico abrupto y efímero. Cuando esa diferencia es medible, se informa como autenticidad del crecimiento.
Mayor 1Menor 0Parche 1
Cada punto abarca 6 días.
OpenSSF Scorecard 4.7 / 10
4.7agregado
Evaluación de seguridad independiente y agnóstica en cuanto a herramientas, procedente del proyecto de código abierto OpenSSF Scorecard. Cada comprobación premia una práctica de seguridad, no la herramienta de un proveedor concreto. Las comprobaciones que Scorecard no pudo determinar se marcan como n/d y se excluyen de la puntuación de seguridad (nunca se cuentan como cero).Scorecard v5.5.0 · 2026-07-22 08:45 UTC
Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 4 paquetes directos y 1 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.
Registro
Paquete
Versión
Relación
Go
github.com/fogleman/gg
v1.3.0
directa
Go
github.com/golang/freetype
v0.0.0-20170609003504-e2365dfdc4a0
directa
Go
github.com/leandroveronezi/go-face
v1.1.0
directa
Go
golang.org/x/image
v0.44.0
directa
Go
github.com/leandroveronezi/go-recognizer
v1.1.0
indirecta
Avisos de dependencias 0
Este repositorio no publica ningún paquete que el índice resuelva, así que se evaluó su propio grafo de dependencias — 5 paquetes, que incluyen también fijaciones de desarrollo y prueba que nunca se distribuyen: 0 tienen avisos conocidos, de los cuales 0 son directas.
Ningún aviso conocido afecta a las dependencias evaluadas.
Un aviso significa que la versión registrada en el grafo de dependencias cae dentro del rango afectado de un aviso. No se analiza la alcanzabilidad, y el grafo incluye fijaciones de desarrollo y prueba: un hallazgo puede referirse al utillaje y no al software distribuido.
Informe JSON sin procesar legible por máquina
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"data": {
"repo": {
"topics": [
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"created_at": "2020-02-29T19:07:10Z",
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"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"
}
],
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{
"oid": "d00c43f76ffb3a2b603c53e244c6204cea1d9fa1",
"body": null,
"is_bot": false,
"headline": "README: render the dlib note as a GitHub [!NOTE] callout",
"author_name": "Leandro",
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"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,
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},
{
"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,
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},
{
"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,
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},
{
"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,
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},
{
"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,
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},
{
"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",
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},
{
"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,
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},
{
"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,
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},
{
"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,
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},
{
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"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,
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},
{
"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,
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},
{
"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
},
{
"oid": "50b70e945b8157233b64f75e7f79315da04ea323",
"body": "…ssion\n\n- Face gains Shapes ([]image.Point, the facial landmark points already\n returned by go-face but previously dropped), Distance (squared\n Euclidean distance to the matched Dataset entry), and Confidence (a\n convenience 1-Distance/Tolerance score in [0,1], not a calibrated\n probability). Po\n[…]\ngeToDataset end-to-end with real models\n during this change, not by build/vet alone. Now builds an *image.NRGBA\n from grayscale-converted pixels instead, which still encodes as a\n 3-component JPEG.",
"is_bot": false,
"headline": "Expose landmarks, match distance/confidence; fix grayscale JPEG regre…",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-18T13:29:34Z",
"body_truncated": true,
"is_coding_agent": false
},
{
"oid": "6580ae7af2dbffa5726fa87eafd7a710e176d0ea",
"body": null,
"is_bot": false,
"headline": "examples: bump go-recognizer to v1.0.4 (arch-aware go-face CXXFLAGS)",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-18T13:11:14Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "d0c10919c9fdae6793b226ca935760b62d7369d7",
"body": "- go-face v1.0.1 fixes an ARM/Apple Silicon build regression introduced\n by v1.0.0's hardcoded -march=x86-64.\n- Drop the Go Report Card badge: the service has been sunset (the page\n now shows a static \"thank you\" notice instead of grading repos).\n- Document that go-face needs CGO_ENABLED=1; without it the build fails\n with confusing \"undefined: face.NewRecognizer\" errors instead of a\n compiler error.",
"is_bot": false,
"headline": "Bump go-face to v1.0.1 (arch-aware CXXFLAGS); README cleanup",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-18T13:09:40Z",
"body_truncated": false,
"is_coding_agent": false
},
{
"oid": "7975d6ef7b35ab3edcb745a3943f2862c68882ed",
"body": "- Add an intro paragraph and a features list instead of jumping\n straight to install instructions.\n- Swap the dead godoc.org badge for pkg.go.dev, add a latest-tag badge.\n- Fix grammar issues and tidy formatting/spacing.\n- Point the examples at examples/ so the README code stays honest\n about being runnable, and fix the faces2.jpeg/faces2.jpg mismatch.\n- Add Contributing and License sections.",
"is_bot": false,
"headline": "Rewrite README for clarity and discoverability",
"author_name": "Leandro",
"author_login": null,
"committed_at": "2026-07-18T12:52:18Z",
"body_truncated": false,
"is_coding_agent": false
},
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]
},
{
"key": "stewardship",
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],
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],
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{
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"points": 0,
"status": "excluded",
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],
"max_points": 20
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{
"key": "owner_reach",
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],
"max_points": 25
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{
"key": "track_record",
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"detail": "21 public repos, account ~9 yr old",
"points": 21.8,
"status": "partial",
"details": [
{
"code": "public_repos",
"params": {
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}
},
{
"code": "account_age_years",
"params": {
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}
],
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]
},
{
"key": "package_maintenance",
"band": "excellent",
"name": "Package maintenance",
"note": null,
"notes": [],
"value": 100,
"inputs": {
"packages": [
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"ecosystems": "go",
"any_deprecated": false,
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"components": [
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"points": 25,
"status": "met",
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}
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"max_points": 25
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{
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"points": 35,
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{
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"points": 20,
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"details": [
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}
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"max_points": 20
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{
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"points": 20,
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"details": [
{
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}
],
"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": [
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"code": "excluded_no_data",
"params": {
"components": [
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{
"key": "openssf_scorecard_ci_tests",
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"inputs": {
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"components": [
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"points": 7.5,
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},
{
"key": "branch_protection",
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{
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{
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{
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},
{
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"points": 7.5,
"status": "met",
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},
{
"key": "fuzzing",
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"points": 0,
"status": "missed",
"details": [],
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},
{
"key": "license",
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"detail": "license file detected",
"points": 2.5,
"status": "met",
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},
{
"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",
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},
{
"key": "packaging",
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{
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},
{
"key": "sast",
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"points": 0,
"status": "missed",
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},
{
"key": "security_policy",
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"detail": "security policy file not detected",
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"status": "missed",
"details": [],
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{
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{
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"status": "missed",
"details": [],
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{
"key": "vulnerabilities",
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]
},
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{
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},
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{
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"components": [
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"key": "direct_dependencies_free_of_known_advisories",
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"points": 35,
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"details": [
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{
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"inputs": {
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"components": [
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],
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{
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{
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"points": 22,
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{
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"points": 0,
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{
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Las puntuaciones son señales, no garantías. Reflejan prácticas públicamente visibles en GitHub; no son una auditoría de código ni una garantía de seguridad.
Los datos ausentes se excluyen y los pesos se renormalizan; nunca se puntúan como cero. La metodología es versionada y abierta: métricas v1.13.0, esquema v0.26.0 — metodología completa · wiki de métricas.
