Registro público
Informe de salud del softwareesquema 0.27.0 · métricas 1.13.0 · 2026-07-27 17:48 UTC

talmolab / sleap-io.js

TypeScriptBSD-3-Clause★ 0 estrellas⑂ 0 forksdesde ene 2026Ver en GitHub ↗

talmolab/sleap-io.js tiene un índice de salud de 66 sobre 100, lo que lo sitúa en la banda Moderado. Su puntuación más alta es Vitality (86/100) y la más baja, Community & Adoption (39/100). Se actualizó por última vez hace 5 días. Una sola persona concentra la mayor parte del trabajo reciente.

66
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.

66
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)
VitalidadComunidad yAdopciónSostenibilidady GobernanzaCalidad deIngenieríaSeguridadPreparaciónpara IA

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.

Titularidad

76 seguidores93 repositorios públicosdesde nov 2021

Este repositorio está respaldado por una organización: una custodia compartida y responsable que puede sobrevivir a cualquier mantenedor individual.

Ecosistemas de paquetes

RegistroPaqueteVersiónDescargas / mesVersionesÚltima publicación
npm@talmolab/sleap-io.js0.5.6205424hace 6 días

Métricas por categoría

Vitalidad

¿Está vivo el proyecto: se escribe código y se publican versiones?

86Excelente · 22% del índice global
Cómo se puntúa
36/36Recencia de push — último push hace 5 días
12.5/36Cadencia de commits — 18/52 semanas con commits
18/18Volumen de commits — 169 commits en el último año
10/10OpenSSF Scorecard: Maintained — 30 commit(s) and 21 issue activity found in the last 90 days -- score normalized to 10
Datos de entrada utilizados
commits_last_year169
human_commit_share1
days_since_last_push5
active_weeks_last_year18
Cómo se puntúa
27/27Publica versiones — 25 versiones publicadas
36/36Recencia de las versiones — última versión hace 6 días
27/27Cadencia de publicación — una versión cada ~5,9 días
0/10OpenSSF Scorecard: Signed-Releases — sin datos
Datos de entrada utilizados
releases_count25
latest_release_tagv0.5.6
releases_from_tagsno
days_since_latest_release6
mean_days_between_releases5,9
Excluidos de la puntuación (sin datos o no aplicable): OpenSSF Scorecard: Signed-Releases. Los pesos restantes se han renormalizado.

Comunidad y Adopción

¿Tiene el proyecto usuarios, descargas, atención y unas condiciones acogedoras para quienes contribuyen?

39En riesgo · 18% del índice global
Cómo se puntúa
0/60Estrellas — 0 estrellas
0/25Forks — 0 forks
0/15Observadores — 0 observadores
Datos de entrada utilizados
forks0
stars0
watchers0
growth_stateunverified
growth_factor_pct100
growth_unverified_reasonno_history
Cómo se puntúa
22.5/22.5README
22.5/22.5Licencia — licencia reconocida (BSD-3-Clause)
18/18Guía CONTRIBUTING
0/13.5Código de conducta
0/7.2Plantilla de issues
0/6.3Plantilla de PR
Datos de entrada utilizados
has_readme
has_license
has_contributing
has_issue_templateno
has_code_of_conductno
has_pull_request_templateno
Cómo se puntúa
44.2/80Descargas mensuales — 2054 descargas/mes en npm
0/20Dependientes en el registro — no lo informa este ecosistema
Datos de entrada utilizados
packages@talmolab/sleap-io.js
dependents
ecosystemsnpm
total_downloads
monthly_downloads2054
Excluidos de la puntuación (sin datos o no aplicable): Dependientes en el registro. Los pesos restantes se han renormalizado.

Sostenibilidad y Gobernanza

¿Sobrevivirá el proyecto a sus personas: factor bus, capacidad de respuesta, quién lo respalda y mantenimiento del paquete?

64Moderado · 24% del índice global
Cómo se puntúa
9/54Factor bus — la mitad de los commits recae en 1 contribuyente(s)
4/22.5Distribución de commits — el principal contribuyente firma el 82% de los commits
5.4/13.5Amplitud de contribuyentes — 4 contribuyentes
10/10OpenSSF Scorecard: Contributors — project has 3 contributing companies or organizations -- score normalized to 10
Datos de entrada utilizados
bus_factor1
contributors_sampled4
top_contributor_share0,822
Cómo se puntúa
40.5/46.8Resolución de issues — 87% de issues cerradas
37.4/38.3Aceptación de PR — 168/172 PR decididos fusionados
0/15OpenSSF Scorecard: Code-Review — Found 1/30 approved changesets -- score normalized to 0
Datos de entrada utilizados
merged_prs168
open_issues9
closed_issues58
issue_closed_ratio0,866
closed_unmerged_prs4
Cómo se puntúa
30/30Respaldo de la propiedad — propiedad de una organización
0/20Dominio verificado
13.6/25Alcance del propietario — 76 seguidores de talmolab
22.4/25Trayectoria — 93 repos públicos, cuenta de ~4 años
Datos de entrada utilizados
followers76
owner_typeOrganization
is_verified
owner_logintalmolab
public_repos93
account_age_days1725
Cómo se puntúa
25/25Publicado y resoluble — 1 paquete(s) en npm
35/35Recencia de publicación — última publicación hace 6 días
20/20Historial de versiones — 24 versiones en el registro
20/20No obsoleto — activo, ni obsoleto ni retirado
Datos de entrada utilizados
packages@talmolab/sleap-io.js
ecosystemsnpm
any_deprecatedno
min_days_since_publish6

Calidad de Ingeniería

¿Existen unas prácticas mínimas de ingeniería y documentación?

82Bueno · 20% del índice global
Cómo se puntúa
24/24Flujos de trabajo de CI — 4 flujo(s) de trabajo
24/24Pruebas presentes
16/16Configuración de linter — biome.json
0/9.6Hooks de pre-commit
0/6.4.editorconfig
20/20OpenSSF Scorecard: CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
Datos de entrada utilizados
has_ci
has_tests
has_editorconfigno
has_linter_config
has_precommit_configno
Cómo se puntúa
30/30README
25/25Directorio de documentación
15/15Sitio de documentación / página del proyecto — http://iojs.sleap.ai/
0/10Descripción del repositorio
0/10Topics
10/10Wiki
Datos de entrada utilizados
topics
has_wiki
homepagehttp://iojs.sleap.ai/
has_readme
has_docs_dir
has_descriptionno

Seguridad

¿Son sólidas las prácticas visibles de seguridad y de cadena de suministro, sin exposición jurisdiccional de alto riesgo sin resolver?

54Moderado · 16% del índice global
Cómo se puntúa
7.5/7.5Binary-Artifacts — no binaries found in the repo
0/7.5Branch-Protection — sin datos
2.5/2.5CI-Tests — 30 out of 30 merged PRs checked by a CI test -- score normalized to 10
0/2.5CII-Best-Practices — no effort to earn an OpenSSF best practices badge detected
0/7.5Code-Review — Found 1/30 approved changesets -- score normalized to 0
2.5/2.5Contributors — project has 3 contributing companies or organizations -- score normalized to 10
10/10Dangerous-Workflow — no dangerous workflow patterns detected
0/7.5Dependency-Update-Tool — no update tool detected
0/5Fuzzing — project is not fuzzed
2.5/2.5Licencia — license file detected
7.5/7.5Maintained — 30 commit(s) and 21 issue activity found in the last 90 days -- score normalized to 10
5/5Packaging — packaging workflow detected
0/5Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
0/5SAST — SAST tool is not run on all commits -- score normalized to 0
0/5Security-Policy — security policy file not detected
0/7.5Signed-Releases — sin datos
0/7.5Token-Permissions — detected GitHub workflow tokens with excessive permissions
0.8/7.5Vulnerabilities — 9 existing vulnerabilities detected
Datos de entrada utilizados
sourceopenssf_scorecard
checks_evaluated16
scorecard_versionv5.5.0
checks_inconclusive2
scorecard_aggregate4,2
Excluidos de la puntuación (sin datos o no aplicable): branch_protection, signed_releases. Los pesos restantes se han renormalizado.
Cómo se puntúa
35/35Dependencias directas libres de avisos conocidos — ninguna dependencia directa tiene un aviso conocido
25/25Dependencias indirectas libres de avisos conocidos — ninguna dependencia indirecta tiene un aviso conocido
0/40Sin avisos pendientes — ningún aviso tiene fecha de publicación
Datos de entrada utilizados
sourceosv
advisories0
affected_packages0
assessed_packages20
unassessed_packages0
affected_by_severitynone
direct_affected_packages0
Excluidos de la puntuación (sin datos o no aplicable): Sin avisos pendientes. Los pesos restantes se han renormalizado. Se cotejó el cierre de dependencias en tiempo de ejecución de npm:@talmolab/sleap-io.js@0.5.6 —lo que arrastra la instalación del paquete publicado—: 20 paquetes. No se analiza la alcanzabilidad.

Preparación para IA

¿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.

57Moderado · 0% del índice global
Cómo se puntúa
0/45Instrucciones para agentes — sin CLAUDE.md / AGENTS.md / reglas de editor
0/15Documentación legible por máquinas (llms.txt)
40/40Historial de commits legible — 100 de 100 commits humanos declaran su intención (asunto estructurado o cuerpo explicativo)
Datos de entrada utilizados
has_llms_txtno
legible_history_share1
agent_instruction_files
agent_instruction_max_bytes
Cómo se puntúa
0/18Arranque con un solo comando
22/22Pruebas automatizadas
11/11Configuración de lint / formato — biome.json
11/11Verificación estática de tipos — tsconfig.json
0/10Entorno reproducible
10/10Práctica demostrada con agentes — 90 de los últimos 100 commits con autoría o crédito de agente
0/8Mantenimiento automatizado — no se observan actualizaciones automáticas de dependencias
0/10OpenSSF Scorecard: Pinned-Dependencies — dependency not pinned by hash detected -- score normalized to 0
Datos de entrada utilizados
has_nixno
has_tests
lockfiles
has_dockerfileno
typed_language
bootstrap_files
has_devcontainerno
has_linter_config
typecheck_configstsconfig.json
agent_commit_share0,9
toolchain_manifests
dependency_bot_commit_share0
Cómo se puntúa
45/45Código verificable por tipos — TypeScript (tipado estático)
53.7/55Tamaños de archivo manejables — 6/246 archivos fuente de más de 60 KB
Datos de entrada utilizados
primary_languageTypeScript
largest_source_bytes177.032
source_files_sampled246
oversized_source_files6

Datos clave

0estrellas de GitHub
4contribuidores
169commits en los últimos 12 meses
5días desde el último push
25versiones publicadas
1factor bus
9issues abiertas
npm, PyPIecosistemas de paquetes

Más detalle

OpenSSF Scorecard 4.2 / 10
4.2agregado

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 · 2026-07-27 17:48 UTC

10Binary-Artifactsno binaries found in the repo
n/dBranch-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
0Code-ReviewFound 1/30 approved changesets -- score normalized to 0
10Contributorsproject has 3 contributing companies or organizations -- score normalized to 10
10Dangerous-Workflowno dangerous workflow patterns detected
0Dependency-Update-Toolno update tool detected
0Fuzzingproject is not fuzzed
10Licenselicense file detected
10Maintained30 commit(s) and 21 issue activity found in the last 90 days -- score normalized to 10
10Packagingpackaging workflow detected
0Pinned-Dependenciesdependency not pinned by hash detected -- score normalized to 0
0SASTSAST tool is not run on all commits -- score normalized to 0
0Security-Policysecurity policy file not detected
n/dSigned-Releasesno releases found
0Token-Permissionsdetected GitHub workflow tokens with excessive permissions
1Vulnerabilities9 existing vulnerabilities detected
Dependencias directas 6
RegistroPaqueteRestricción de versiónManifiesto
npmh5wasm^0.10.2package.json
npmjsfive^0.3.10package.json
npmmediabunny^1.30.0package.json
npmmp4box^0.5.4package.json
npmpako^2.1.0package.json
npmyaml^2.6.1package.json
Todas las dependencias 17

Conjunto completo de dependencias resueltas según el grafo de dependencias de GitHub: 6 paquetes directos y 11 indirectos (transitivos). El cierre transitivo es completo cuando el repositorio incluye un lockfile.

RegistroPaqueteVersiónRelación
npmh5wasm^0.10.2directa
npmjsfive^0.3.10directa
npmmediabunny^1.30.0directa
npmmp4box^0.5.4directa
npmpako^2.1.0directa
npmyaml^2.6.1directa
npm@biomejs/biome2.5.1indirecta
npm@types/bun^1.3.14indirecta
npm@types/node^22.10.5indirecta
npm@types/pako^2.0.4indirecta
npmskia-canvas^3.0.8indirecta
npmtiff^7.1.3indirecta
npmtsup^8.3.5indirecta
npmtypescript^5.6.3indirecta
PyPImike2.1.3indirecta
PyPImkdocs1.6.1indirecta
PyPImkdocs-material9.5.44indirecta
Avisos de dependencias 0

Instalar npm:@talmolab/sleap-io.js@0.5.6 arrastra 20 paquetes, directos y transitivos: 0 tienen avisos conocidos, de los cuales 0 son dependencias 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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          "oid": "d886195cfbdb4a19729a34bdfc79a1e95c1dd839",
          "body": "The SLP on-disk format is snake_case for Python/PyQt interop, but the\ncentroid `source` was the lone exception: `Centroid.fromInstance` stored\nthe JS camelCase method name (`centerOfMass`/`bboxCenter`) into `source`\nand the SLP reader/writer round-tripped it verbatim, so JS-written files\ndisagreed w\n[…]\npdate + extend\n  `tests/centroid.test.ts` (snake_case expectations, snake_case method\n  parity, direct normalizer coverage, anchor round-trip).\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(centroid): persist Python-canonical snake_case `source` (#233)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-20T20:45:03Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "ebc77ed8f6a9b088d313f5e1b235539379db4c41",
          "body": "…t32 (#231) (#232)\n\nh5wasm's dtype parser keys off the type CHAR and ignores the trailing\ndigit, so \"<f8\" resolves to float32 (char 'f'=4 bytes), not float64. The\nstreaming append writer created the `instances` pose table with \"<f8\", so\nits integer bookkeeping columns (instance_id, frame_id, point_i\n[…]\n === 8) and that a large odd id\n(2^24 + 17) round-trips exactly through the writer's dataset — it would\ncorrupt to an even value under float32.\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(slp): write streaming `instances` pose table as float64, not floa…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-20T18:14:51Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "358f00ff1c34b0d2e07f939d6de53f1ef2839c80",
          "body": "…editable (#218) (#228)\n\nReconciles the compound pose-table writer (Python reads integer id columns; closes\n#218) with the in-place edit-save. instances/points/pred_points/negative_frames are\nwritten as HDF5 COMPOUND *and* CHUNKED + unlimited, so app-saved .slp open in Python\nsleap-io / PyQt AND sta\n[…]\n on top of main after #223+#229 squash-merged. Tree == the verified\nintegration/io-056-verify reconciled state (full suite 2111 pass / 0 fail).\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(slp): compound + chunked pose tables — Python interop + in-place-…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-17T21:02:46Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "7e69ea9549ece570f3c3110c584afcc9c34b7859",
          "body": "…ter edits on large embedded pkg.slp (#229)\n\nAdds writeLabelTablesInPlace / checkInPlaceWritable / buildLabelTableUpdate + the\nchunked resizable table writers: an edit re-save of an existing embedded pkg.slp\npatches ONLY the label tables (write_slice for value edits, resize+write_slice for\nstructura\n[…]\nw, rest fast\").\n\nRebuilt on top of main after #223 squash-merged (was a stacked branch). Tree is\nthe verified 15019ef state (full suite green).\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(slp): in-place label edit-save (updateLabelsInPlace) — ~100x fas…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-17T21:00:19Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "bd3fef73a0e6059f110c5b207511d78e14ed756f",
          "body": "* feat(slp): streaming embedded-video append writer (write B-seam)\n\nAdds a disk-backed streaming writer for embedded pkg.slp so large files can be\nwritten past the wasm-heap limit: a worker-hosted h5wasm opens the destination in\nappend mode over a SharedArrayBuffer bridge (tagged source/dest) and co\n[…]\nnd was failing on ubuntu; apply\nBiome's own formatting. No behavior change.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(slp): streaming embedded-video append writer (write B-seam) (#223)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-17T20:56:23Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "e8dbaef8ccc87b861620bc5bdeb5ae57dede9e46",
          "body": "Bump package version 0.5.4 -> 0.5.5 ahead of the v0.5.5 release\n(SLP 2.5/2.7/2.8 format subsystems + loader fixes merged since v0.5.4).\n\n\nClaude-Session: https://claude.ai/code/session_011uVvy9CF2wmFECEtkAzC89\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "chore(release): bump version to 0.5.5 (#227)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-16T14:19:35Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "1399272fa86fb66910bc2a3f799e50693b09a2dd",
          "body": "…beddings) (#226)\n\nSLP 2.7 class/category subsystem for the browser, mirroring the identity stack (#225). Adds category to Instance (the other 4 modalities already had it) + categoryScore/categoryEmbedding on all five detection types, using the existing string category (no breaking model change). Wr\n[…]\nattaches identity (2.5) and category (2.7) across eager, streaming, and lazy paths. format_id bumps to 2.7 only when a detection carries a category. Verified round-trip both directions against Python.",
          "is_bot": false,
          "headline": "feat(slp): SLP 2.7 class/category subsystem (/categories + links + em…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-16T12:03:22Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "da1f8e0e2332825d860080de532f86e7480bd525",
          "body": "…dings, SLP 2.5) (#225)\n\nBrowser port of the SLP 2.5 per-detection identity subsystem, coordinated with Python sleap-io#548 (which reads the h5wasm flat-2D /identity/links form). Adds identity/identityScore/identityEmbedding to all five detection types + an exported Embedding class; dual-writes the \n[…]\ner, streaming, and lazy paths. format_id bumps to 2.5 only when a detection carries an identity link or embedding. Also always writes camera size so Python make_camera can read JS session calibration.",
          "is_bot": false,
          "headline": "feat(slp): per-2D-detection identity stack (/identity + links + embed…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-16T11:59:59Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "0f3c73b997f326c5cae12b6473089444153567e7",
          "body": "…220) (#224)\n\nBrowser port of Python sleap-io#546: moves 3D session data (frame groups, instance groups, camera→(lf,inst) member map, triangulated 3D points) out of the single sessions_json vlen string into a columnar /session_data HDF5 group, bumping the SLP format to 2.8. Adds a loud read-failure \n[…]\nntly dropping calibration+3D). Folds in the luc3d#161 correctness fixes: NaN-not-null missing 3D keypoints, and the 2D point-span off-by-one (writer emits exactly nNodes points/instance). Closes #220.",
          "is_bot": false,
          "headline": "feat(slp): columnar /session_data 3D storage (SLP 2.8) + fail-loud (#…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-16T11:55:07Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "86de055becb7538fb061d58ae2ce74cdb0a7c027",
          "body": "…filename` (#221) (#222)\n\nThe SLP writer dumped an ImageVideo's full ordered frame list into the\nsingular `backend.filename` and never wrote `backend.filenames`. The\ncanonical SLP format (Python `video_to_dict`, and sleap-io.js's own reader\nin `parsers.ts` `resolveVideoFilename`) stores the full lis\n[…]\nits own image sequence back to the full list\n- Python `read_videos` (the `make_video` path that crashed) reads the\n  JS-written image sequence as a 3-frame list\n\nCloses #221.\n\nWith the help of Claude.",
          "is_bot": false,
          "headline": "fix(slp): serialize ImageVideo frames under `filenames`, not scalar `…",
          "author_name": "Tom Han",
          "author_login": "tom21100227",
          "committed_at": "2026-07-15T21:35:40Z",
          "body_truncated": true,
          "is_coding_agent": false
        },
        {
          "oid": "ad0d3ce4eaaadeb3378f136400e610a4bfd3496b",
          "body": "Copy already-embedded videos' stored blobs verbatim (getFrameBuffer, no decode/re-encode); preserve is the default unless embed:\"source\". Low-peak streaming write into a resizable dataset; backstop throws instead of writing a stripped file. Device-verified in the Tauri WebView. Closes #218.",
          "is_bot": false,
          "headline": "fix(slp): preserve embedded images on re-save via raw-blob copy (#219)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-14T20:06:30Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "01c55b2a136b63d315d5007ec4b2f96f57f8a6a9",
          "body": null,
          "is_bot": false,
          "headline": "chore(ci): set coverage artifact retention to 1 day (#217)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-11T03:29:46Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "aaefc8648f0eb909598590d72e58570cd0b096c0",
          "body": "… withhold unreadable backends (#213) (#216)\n\nA `.slp` that references external videos — especially ImageVideo image\nsequences — by absolute paths saved on another machine could not be\nopened when the media now lives in a subfolder next to the `.slp`, and\nthe loader gave consumers no signal that a v\n[…]\n-save stays\nportable and matching/identity is unchanged.\n\n\nClaude-Session: https://claude.ai/code/session_01CWnwXZJfyLFtTZY1fAsJmh\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(video): resolve external/ImageVideo paths against the labels dir;…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-11T03:05:05Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "9bfb4e6787d38147b1f2dc15c3b3282191d448c1",
          "body": "… |S<n> json dataset (#214) (#215)\n\nPython sleap-io spills oversized source_video metadata (e.g. an ImageVideo\nsource with thousands of frame filenames, >64 KB) to a scalar fixed-length\nstring dataset (np.bytes_, shape (), dtype |S<n>) instead of the usual\nsource_video/@json attribute. The JS reader\n[…]\nducible generator\n  gen_spilled_source_video_fixture.py.\n\n\nClaude-Session: https://claude.ai/code/session_01AVF2bqAcP7zxU242LyJiFX\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(slp): open .pkg.slp when source_video metadata spills to a scalar…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-11T02:59:56Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "38df4cefb628cdf1c5f1e694f1bee54856dc7708",
          "body": "…rge files (#212)\n\nDesktop can't hand the video backends a lazy disk-backed File (the WebView has\nno FS access to a raw path), so it reads the whole file into memory via readFile\nbefore decoding — freezing/crashing on multi-GB videos. Add a lazy byte source\nso the backends read only the container in\n[…]\noving the StreamSource wiring and the end-exclusive convention).\nBig-file laziness (only-needed-ranges, low memory) is E2E-verified on desktop.\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(video): RangeSource mode for MP4/MediaBunny backends — stream la…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-10T19:17:45Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "b143bfcd85fddb9bc83f2d2e2ca2e78305f9e549",
          "body": "* feat(io): browser-safe saveAnalysisH5ToBytes\n\nAdd a browser-safe way to produce SLEAP Analysis HDF5 (.h5) bytes, the analog of\nsaveSlpToBytes. saveAnalysisH5 is Node-only (it writes to a disk path via the\nregistered Node fs writer), so the browser / Tauri WebView could not export the\nanalysis .h5 \n[…]\nisk path carry the same\ncontent, robust to byte-level HDF5 non-determinism.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(io): browser-safe saveAnalysisH5ToBytes (#211)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-09T19:14:50Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "72e6082d1877f2157c6a59149903a5bf2a93b042",
          "body": "…, defer per-video reads (#210)\n\nAdd a `lazyVideoMetadata` option to `readSlpStreaming`/`readFromStreamingFile`.\nWhen set, embedded videos are built from `videos_json` ALONE and every per-video\nHDF5 read (dataset lookup, getAttrs, frame_numbers, frame_sizes, source_video)\nis deferred to a self-initi\n[…]\n eager reader's resolveSourceFrameCount.\n\nOpt-in and independent of `openVideos`/`lazy`; default behavior is unchanged.\nBumps version to 0.5.4.\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(slp): lazyVideoMetadata — open embedded pkg.slp from videos_json…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-08T23:09:18Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "5aa7869da05fe20e25c8d9b653281cc3681595bf",
          "body": "Streaming/incremental SLP writer + multi-store merge + overlays + dedup\n(#208, closes #207). Not released yet.\n\n\nClaude-Session: https://claude.ai/code/session_01NQDXxA9TYiC3aCtKWD7Eqn\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "chore(release): bump version to 0.5.3 (#209)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-05T23:57:49Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "fd58aab6ef2d90e75ef85047e7a58dcb55b705a4",
          "body": "…) (#208)\n\n* feat(slp): streaming/incremental SLP writer + multi-store merge (#207)\n\nWrite-side companion to `readSlpStreaming({ lazy })`. Build an SLP by appending\npose frames/instances/points in bounded windows to *resizable* HDF5 datasets\n(create-empty → `resize` + `write_slice` per window), inst\n[…]\ne Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01NQDXxA9TYiC3aCtKWD7Eqn\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(slp): streaming/incremental SLP writer + multi-store merge (#207…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-05T23:50:22Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "af9cbd6e9d1999c3113d4f6c26fddcad34c86877",
          "body": "Patch release: lazy-reader video-id remap fix (#205, closes #204).\n\n\nClaude-Session: https://claude.ai/code/session_01NQDXxA9TYiC3aCtKWD7Eqn\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "chore(release): bump version to 0.5.2 (#206)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-05T20:25:31Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "40604effb72792a342279ef745507441bdb5eb18",
          "body": "The lazy SLP readers (`readSlpLazy`, and the streaming lazy mode added in\n#203) indexed videos by the raw `frames.video` id, while the eager readers\nremap it through `buildVideoIdMap`. For a file whose frame video ids are\nnon-contiguous or don't equal their position in the `videos` array — e.g.\n`vid\n[…]\ny harness only had single-video fixtures).\n\nCloses #204.\n\n\nClaude-Session: https://claude.ai/code/session_01NQDXxA9TYiC3aCtKWD7Eqn\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(slp): apply the video-id remap in the lazy readers (#204) (#205)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-05T20:11:12Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "bd12bccfa2a504954cef5c249e9fa75005f8b4a0",
          "body": "* feat(slp): lazy mode for the streaming reader (readSlpStreaming({ lazy }))\n\nreadSlpStreaming already runs HDF5 I/O in a Worker and transfers the pose\ntables to the main thread as columnar Float64Array columns, but it then\neagerly builds every LabeledFrame/Instance — a large object-graph peak for\np\n[…]\n@anthropic.com>\nClaude-Session: https://claude.ai/code/session_014HXm3B85VSPNkecR8tfkD1\n\n* chore: bump version to 0.5.1\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(slp): lazy mode for the streaming reader + bump to 0.5.1 (#203)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-05T19:53:35Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "87597c8b42a282776a13ba78b9b0a2d7b030a016",
          "body": "…sted videos_json) (#202)\n\nThe SLP codec reconstructed `source_video` filename-only, dropping the source's\nshape and any deeper chain. So after a real save/reload `_getEffectiveShape()`\ncould not resolve a reloaded embedded subset's full frame extent, and the\nembedded-subset -> restore-original matc\n[…]\nests/codecs/source-video-fidelity.test.ts.\n\nCloses #160.\n\n\nClaude-Session: https://claude.ai/code/session_01NQDXxA9TYiC3aCtKWD7Eqn\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(slp): round-trip source_video lineage with shape (HDF5 group + ne…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-05T17:45:59Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "6f8f7763d9967e277d5dc6f5e334f6e55ac74f7f",
          "body": "…ly (#201)\n\nMp4BoxVideoBackend captured `isBrowser`/`hasWebCodecs` in module-level\nconsts, frozen at first import. Under a shared module registry (bare\n`bun test`, where all files run in one process), any file that imported\nthis module before a test installed its fake `window`/WebCodecs globals\nfroz\n[…]\ns / 1 skip / 0 fail; `tsc --noEmit` clean.\n\nCloses #159.\n\n\nClaude-Session: https://claude.ai/code/session_01NQDXxA9TYiC3aCtKWD7Eqn\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(video): evaluate Mp4BoxVideoBackend WebCodecs/browser probes lazi…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-05T17:14:18Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "1918f9e5072c75ba186e88343bd25a1748e46a20",
          "body": null,
          "is_bot": false,
          "headline": "Bump version to 0.5.0 (#200)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-04T23:46:05Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "df4cb880378d01d94eec7b7edcaecc4fd74005c9",
          "body": "…(#193)\n\nAdds a RangeSource variant to the streaming HDF5 reader so a file can be read\nlazily via an app-provided byte-range callback (the \"B-seam\" range reader),\nletting the SLEAP desktop app open multi-GB embedded .pkg.slp files without\nmaterializing the whole file in WASM memory.\n\n- h5-streaming.\n[…]\n-write helpers against a\n/tmp ENOENT flake under `bun test --parallel`.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01W9wBrgT1wZbN92mv764jKq",
          "is_bot": false,
          "headline": "feat(slp): lazy RangeSource for streaming HDF5 (B-seam range reader) …",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-04T23:29:41Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "07b08302c690410758ad65d74c38a2c068eb3805",
          "body": "…ss grouping, Python-canonical shape (#198)\n\nCloses #197. Makes the recording-session object model a faithful, lossless,\nlazy-native projection of sessions_json so consumers (luc3d/LUCID) read typed\nobjects instead of hand-parsing HDF5.\n\n- Lossless grouping via as-read index refs + lazy resolver (ze\n[…]\nessions: true }, default off), deprecated.\n\nHandoff: talmolab/luc3d#121\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01W9wBrgT1wZbN92mv764jKq",
          "is_bot": false,
          "headline": "feat(sessions): faithful lazy-native recording-session model — lossle…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-04T19:30:33Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "0254a6e15a0d30450fe20a528f2a3bdbc61bf3db",
          "body": "Real-data-driven performance work on the SLP read path (large-file browser\nOOM/hang). Behavior-preserving; values byte-identical; 1892 tests pass.\n\n- Columnar HDF5 compound read via the Emscripten Module, bypassing h5wasm's\n  per-record Dataset.value (~21x on the points table); node + streaming work\n[…]\neaming reader (to defer the residual build freeze) left as a follow-up.\n\nCo-Authored-By: Claude Opus 4.8 <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01W9wBrgT1wZbN92mv764jKq",
          "is_bot": false,
          "headline": "perf(slp): faster, lower-memory SLP read path (#196)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-04T04:56:56Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "0d7fb2e9e3da11c2c15b44fcb4d3937f517e1ad2",
          "body": "…0) (#195)\n\nPorts the SLEAP Analysis CSV exporter (missing from the JS port) and bakes in\nthe full-video-span fix from sleap-io PR #480:\n\n- src/io/csv.ts: labelsToCsv(labels, opts) builds the \"SLEAP Analysis\" CSV —\n  one row per instance per frame with columns track, frame_idx, instance.score,\n  {no\n[…]\neo-span padding, comma quoting, and the disk round-trip.\n\n\nClaude-Session: https://claude.ai/code/session_01869N2KkrfeKADXeX9ENwD4\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(io): SLEAP Analysis CSV export with full-video-span padding (#48…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-03T20:43:22Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "5e911ff774760a76c92552ac05ac935c6e8616cd",
          "body": "…to-draw (#468/#494/#506) (#194)\n\nPorts the sleap-io 0.8.0 centroid-rendering PRs (the JS renderer previously\ndrew no centroids at all):\n\n- #506: add drawCentroids(image, centroids, opts) — filled circle markers via\n  skia-canvas, single color or per-centroid colors, with offset/alpha; exported\n  fr\n[…]\ncale block confirmed the overlay-only path is unchanged.\n\n\nClaude-Session: https://claude.ai/code/session_01869N2KkrfeKADXeX9ENwD4\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(rendering): centroid rendering — draw_centroids + renderImage au…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-03T20:41:11Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "3dd0689b63cff9a72cddc8ac9bf7d4282d1c0449",
          "body": "…led, single overlay (#191)\n\nThree data-fidelity / API parity fixes from sleap-io 0.8.0:\n\n- #504: preserve tracking_score and _instance_idx through annotation\n  conversions. BoundingBox.toRoi, SegmentationMask.toBbox/toPolygon/\n  resampled, and ROI.toMask now carry both fields (plus the predicted\n  \n[…]\nt, #503 COCO writer, #468/#494/#506 centroid\nrendering).\n\n\nClaude-Session: https://claude.ai/code/session_01869N2KkrfeKADXeX9ENwD4\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(model,rendering): 0.8.0 parity — conversion metadata, isUserLabe…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-03T20:38:44Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "e0c5bd2ff682e812ba5be97bf5399aa63796a4d6",
          "body": "…ive demo (#190)\n\nCloses the interactive/browser segmentation-rendering gap (the JS-side\ncounterpart to sleap-io's Node-only overlay path).\n\n- model/mask: SegmentationMask.contours() traces the real mask boundary\n  (pixel-edge tracing + saddle disambiguation so 4-connected blobs and\n  holes each get\n[…]\n), the data cache, and the browser-safe raster overlays.\n\n\nClaude-Session: https://claude.ai/code/session_01869N2KkrfeKADXeX9ENwD4\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(model,rendering): browser-safe segmentation rendering + interact…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-07-03T20:36:20Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "a3487426b685cb10335d508a94c05a3586e61e3e",
          "body": "An embedded pkg.slp video's seekbar extent (source frame count) came from\nresolveSourceFrameCount, which returned the FIRST of: the `frames` HDF5 attr,\nvideos_json backend.shape[0], then max(frame_numbers)+1. When the `frames` attr\nis bogus — smaller than the stored frames' own source indices — the \n[…]\ndy valid. Regression test added.\n\nVerified against the real file: video0 shape[0] 424 -> 173998, and getFrame(77077)\ndecodes a 1280x1024 image.\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(slp): clamp embedded video frame axis to max(frame_numbers)+1 (#192)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-07-02T18:36:27Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "0d3eda9777dffa7c3a4e7000b334f427accab194",
          "body": "Add a per-call GetFrameOptions to VideoBackend.getFrame / Video.getFrame.\nImageVideoBackend skips its read-ahead prefetch window when prefetch:false,\nso a scrubbing consumer can avoid the wasted, I/O-saturating read-ahead of\nframes it scrubs past (measured ~3.6x slower foreground reads under the\n6-w\n[…]\nImageVideoBackend opt-out + default-on. typecheck + build clean;\n--parallel suite green (1 pre-existing Python-oracle skeleton fail unrelated).\n\nCo-authored-by: Claude Opus 4.8 <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(video): getFrame({ prefetch: false }) to suppress read-ahead (#189)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-06-29T21:40:35Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "9621f47b7d9f178a026a6fe8498fc08da963f64e",
          "body": "…ship (JS#153) (#188)\n\nAddresses JS#153 (refs, not closes). Adds an optional readCrop() pushdown hook to VideoBackend; CropVideoBackend tries it then falls back to byte-identical full-decode+crop. Embedded HDF5 backends return null (encoded blobs can't be hyperslabbed); the raw rank-4 chunked-HDF5 f\n[…]\n the opt-in in-memory Video.crop({shareDecode:true}) path.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "perf(video): crop pushdown hook + lock in correct mosaic decode owner…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-26T00:04:30Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "d3a9ba700bfd3d56e35d4148ef704497387e95d8",
          "body": "…ython #446) (#187)\n\nPorts Python sleap-io #446 (closes #149): a missing /metadata group OR a missing/empty 'json' attribute now raises the same helpful typed error (likely-corrupt file) across eager, lazy, and streaming readers — mirroring Python read_metadata. Malformed-but-present JSON still surfaces the underlying parse error.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "fix(io): helpful error when SLP metadata JSON attribute is missing (P…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-25T23:40:45Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "a6346e2e4842b301521adb37faeed6b9e5df64ed",
          "body": "… (Python #447) (#186)\n\nPorts Python sleap-io #447 (closes #150): _registerSkeleton collapses structurally-equal skeletons to a canonical instance (Skeleton.matches requireSameOrder:true) and rebinds inst.skeleton, applied automatically in update()/append()/extend() and the constructor's instance-collection pass — replacing identity-only dedup.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "feat(model): structural skeleton dedup in Labels.update/append/extend…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-25T23:38:58Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "d6f2949be2aa56f7c032a9b004a818cc0d3576d6",
          "body": "…gle Drive (Python #439/#445/#441) (#185)\n\nNew src/io/remote.ts + gdrive.ts: thread auth headers end-to-end through .slp/video remote reads, resolve gs:// → storage.googleapis.com and Google Drive share-links, redact credentials in all errors, retry/backoff with Retry-After, force Accept-Encoding: i\n[…]\nists() URL probe. s3/az SDKs + fsspec disk cache deferred.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "feat(io): remote loading hardening — auth headers, cloud schemes, Goo…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-25T13:36:00Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "91d1ca6f3ab564a9ac258ab10232d88eded1addb",
          "body": "New src/io/dlc.ts: DeepLabCut project reader (loadDlc/loadDlcProject/loadDlcSplits). Multi-index CSV → instances, config.yaml → skeleton/edges/video_sets, single-image videos, source linking, empty frames, splits. loadDlcSplits decodes real numpy-array Documentation pickles. Read path only.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "feat(io): DeepLabCut project reader (Python #450/#488/#492/#418) (#184)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-25T13:33:26Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "50bb673b9da3be3f1173fcb2f8643f88c6aeaa33",
          "body": "…93/#418) (#183)\n\nNew src/io/coco.ts + coco-node.ts: COCO keypoint + instance-segmentation reader (polygon→mask, uncompressed + compressed LEB128 RLE, category_as_track, scored→predicted, duplicate-filename grouping, degenerate-polygon bbox fallback, empty frames). Includes ROI.toMask polymorphism (PredictedROI→PredictedSegmentationMask). Read path only.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "feat(io): COCO instance-segmentation reader (Python #479/#481/#487/#4…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-25T13:30:19Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "2f2d83d6ded6c5ab9226fa3ca347b4cc7ba801b8",
          "body": "Adds an onProgress (current, total, message?) callback to .slp loading, emitted by all three reader paths (streaming/eager/lazy), each deriving total from a per-path stage list. Per-video sub-progress on openVideos; pure side effect. Includes tests (tests/codecs/slp-load-progress.test.ts) and docs (usage.md).\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "feat(slp): onProgress callback for load progress (#176)",
          "author_name": "Tom Han",
          "author_login": "tom21100227",
          "committed_at": "2026-06-25T04:24:48Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "02bbd40dbd7fdd61eb90d9bc45a1c6fb896b6d65",
          "body": "…#465) (#164)\n\nPorts Python sleap-io #464 + #465: gzip-compress the mask_rle and roi_wkb HDF5 datasets when writing .slp. No format_id bump (deflate is transparent on read).\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "perf(slp): gzip-compress mask_rle and roi_wkb datasets (Python #464, …",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-24T23:50:21Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "cf99e36d82b8b522958f09ef0e48cc5eff21a736",
          "body": "…hon #476) (#161)\n\nPorts Python sleap-io #476: _getEffectiveShape resolves through the nearest video.sourceVideo (returning the first known shape) instead of the originalVideo root, so embedded-subset → restored-source matching works when the deeper root shape is unknown. Still gated by isSameFile.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "fix(matching): resolve effective shape through sourceVideo chain (Pyt…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-24T23:49:52Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "44967d83b1241b393e4b9ed1c6c141a6742c8838",
          "body": "Ports Python sleap-io #462 (auto-draw SegmentationMask overlays) and #470 (color masks/ROIs/bboxes by track identity). Closes #162.\n\nrenderVideo threads a global Labels.tracks index map so overlay colors are stable across frames (mirrors Python render_video _track_idx_map); hasTracks aligned to trac\n[…]\n-sampling test covering the order-swap flicker regression.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "fix(render): auto-draw + track-color segmentation masks (#180)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-24T23:15:24Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "ac2e90b10cd249be7ffff590151e474cb2af2642",
          "body": "… warning (#182)\n\nPorts Python sleap-io #449 (flip Labels.merge track-matching default from name to identity) and #448 (warn on spatially-divergent track-name collisions). Closes #151.\n\nBREAKING CHANGE: Labels.merge now matches tracks by identity, not name, by default. Pass track: \"name\" to restore the previous name-based merging.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "feat(merge)!: default track matching to identity + spatial-divergence…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-24T23:13:00Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "4509f40ead6fbc15f1c8371673f0b7e2a04af9ae",
          "body": "…erge (#181)\n\nPorts Python sleap-io #489 (reorder points by node name when merging instances whose skeletons differ in node order) and #491 (preserve from_predicted provenance across merge copy paths).\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\nClaude-Session: https://claude.ai/code/session_01XExMxcwxeoR4vs67nm84Zm",
          "is_bot": false,
          "headline": "fix(merge): preserve point order + from_predicted provenance across m…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-24T23:09:56Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "1bc5579973633cc73811b061128d32c6810787f5",
          "body": "Fills in the squash-merge SHA of #178's whole-tree Biome reformat so `git blame` skips it.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "chore: record Biome reformat commit in .git-blame-ignore-revs (#179)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-24T18:43:18Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "1fb4619d7bb736184c736635877efc2a7b25af17",
          "body": "Follow-up to #177: flip formatter.enabled to true and apply Biome formatting across src/ and tests/ in one mechanical, behavior-preserving pass (2-space indent, 80-col, double quotes, semicolons, trailing commas). No logic changes; tsc, build, check:pack, and all 1560 tests pass.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "style: enable Biome formatter and reformat src + tests (#178)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-24T18:40:38Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "85c96e639ac2cba033aa4f75c2184d6c35da975d",
          "body": "Closes the remaining gaps so Bun is the single dev toolchain, and adds Biome as a linter (lint-only; formatter deferred to a follow-up PR).\n\n- Single-source Bun pin (packageManager + setup-bun bun-version-file) with a consumer-safe preinstall guard\n- Scoped test scripts; add check:pack (publint + at\n[…]\nReturn, noAssignInExpressions, noImplicitAnyLet)\n- formatter.enabled:false — whole-repo reformat deferred to a dedicated follow-up\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "build(bun): finalize Bun-only toolchain and add Biome lint (#177)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-24T18:14:45Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "8427072db09d98489e0d627e85acd4ba67142753",
          "body": null,
          "is_bot": false,
          "headline": "Bump version to 0.4.1 (#175)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-06-18T21:59:32Z",
          "body_truncated": false,
          "is_coding_agent": false
        },
        {
          "oid": "712d0c38c5b8a61c013a192ae968771608734410",
          "body": "…174)\n\nImageVideoBackend read one image per displayed frame with only a small\nFIFO decoded cache and no read-ahead, so scrubbing/stepping/playback\nre-read and re-decoded frames repeatedly.\n\n- Add a byte-budgeted LRU cache (LruCache) used as a two-tier cache: a\n  large raw-bytes tier (kills network r\n[…]\n the same frame are\n  coalesced via an in-flight map.\n\nTests: lru-cache (7), two-tier cache (4), prefetch policy + mechanism (10).\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(video): two-tier frame cache + prefetch for ImageVideoBackend (#…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-06-18T20:29:14Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "0fbed1628cee10d71102b2c856d43199e403b113",
          "body": "Image-sequence videos (Python `ImageVideo`) serialize the full ordered\nimage list under `backend.filenames` (plural) plus only the first image\nunder the singular `backend.filename`. Both readers — `parseVideosMetadata`\n(streaming) and `readVideos` (eager) — read only the singular field, so an\nN-imag\n[…]\nhe fixture is a 3-image sequence). Verified\non a real 14-video ImageVideo .slp — frame counts now 11041/867/2560/...\ninstead of 1.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(video): read the full image list for image-sequence videos (#173)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-06-17T23:03:36Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "31932ba655062a4a003af543c08a2750ebeb498f",
          "body": "…P video loading (#171)\n\nAdds the missing image-sequence video backend (Python `ImageVideo` parity) and\nmakes `.slp` video-backend loading crash-resistant. Before this, a `.slp` whose\nvideo is an image sequence (`filename` is a list, or a single image path)\naborted the WHOLE load: createVideoBackend\n[…]\nap-app Tauri reader + \"Locate image folder\" UX (PR2),\nbrowser folder-picker resolver, wasm TIFF decoder, `.avi`/`.mpeg` transcode.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(video): ImageVideoBackend (image-sequence decode) + resilient SL…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-06-16T22:01:31Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "8bb344337c02d0da3408586383b64cb9e6e373b3",
          "body": "…be (#172)\n\nResolve the embedded pkg.slp frame count synchronously from `frame_numbers`\nmetadata instead of a per-image decode probe, so the Videos-panel Frames count\nno longer depends on a fragile vlen image decode — which intermittently failed on\nWindows WebView2 and showed 0 for many videos.\n\n- N\n[…]\n channel count instead of hardcoded RGBA-4.\n\nVerified: unit tests + real 30-video pkg.slp (Node, no decode) + Windows desktop E2E.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(video): resolve embedded pkg.slp frame count without a decode pro…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-06-16T00:54:39Z",
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        },
        {
          "oid": "906ecf3f56ff2ac61c9f1e287f53983a53663819",
          "body": "The \"drop\" analog of replaceVideos: remove one or more videos and every\nreference to them across the Labels object. Labeled frames and suggestions for\na removed video are dropped (a frame's ROIs go with it), as are static ROIs\n(_staticRois) that reference it; the frame/track indices are then invalid\n[…]\n+ isolation, null-video ROI preserved, frame-index rebuild,\nunknown-video no-op, empty no-op, batch removal, skeletons untouched).\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(model): add Labels.removeVideo / removeVideos (#166) (#170)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-06-10T21:21:10Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "f091eced1b10dc27a3d269768396a0bca7aca0c5",
          "body": "Port of Python sleap_io.io.skeleton.SkeletonEncoder. Serializes a Skeleton\n(or list) to the jsonpickle graph format consumed by readSkeletonJson and by\nPyQt SLEAP / Python's SkeletonDecoder, closing the read/write asymmetry\n(readSkeletonJson had no encoder counterpart; YAML already had both).\n\n- Dup\n[…]\nandalone .h5 skeleton I/O) is deferred — PyQt's own .h5 skeleton write\nis a commented-out TODO, so there is no interop target yet.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(codecs): add writeSkeletonJson (jsonpickle encoder) (#167) (#169)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-06-10T21:21:08Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "947ce84f45c8ce2e37dacc57ff46cc20f159ae75",
          "body": "…ortedVideoFormatError (#165) (#168)\n\nThe createVideoBackend factory listed \"mpeg\" and \"avi\" in MEDIABUNNY_EXTENSIONS,\nbut MediaBunny has no AVI demuxer and no MPEG program-stream demuxer (only\nMPEG-TS), so those files were handed to a backend that fails opaquely mid-decode\ninstead of erroring clean\n[…]\nects; override escape hatch still reaches MediaBunny.\n\nReal .avi/.mpeg decode (an ffmpeg-class path) is a separate, larger effort.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(video): stop routing .avi/.mpeg to MediaBunny; throw clean Unsupp…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-06-10T19:05:35Z",
          "body_truncated": true,
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        },
        {
          "oid": "6444f1e5dd8ca9c2830ebb8b00979c0565d7c7ed",
          "body": "…edicted + link-first merge (#157)\n\nPorts the segmentation-mask human-in-the-loop stack from Python sleap-io:\n\n- #472: in-memory PredictedSegmentationMask.toUser() + UserSegmentationMask.fromPredicted provenance.\n- #475: persist fromPredicted to the SLP format (new from_predicted column, format_id 2\n[…]\nusedPredictedMasks + link-first auto-merge for masks.\n\nTargeted suites 109 pass / 0 fail; tsc clean; CI green on ubuntu + windows.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(model,slp): mask human-in-the-loop — toUser() + persisted fromPr…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-06T21:05:45Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "bec7a10ca61020f8c43b880d8f3c56ec32e461fa",
          "body": "…(#158)\n\nLegacy PyQt SLEAP pkg.slp files embed images as an H5T_VLEN dataset\n(/videoN/video), one encoded image per element. h5wasm's high-level\ndataset.slice([[i, i+1]]) on such a dataset (N>1) intermittently aborts the\nWASM runtime (\"memory access out of bounds\"): its post-read\nreclaim_vlen_memory\n[…]\nd in\nscratch/vlen/upstream-fix.md; once it ships and the dep is bumped, this manual\nread can be retired in favor of plain slice().\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(video): read vlen embedded frames per-element, no memory blow-up …",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-06T18:20:37Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "8a081355f9c50caf8ec349750bd062e2fcb80160",
          "body": "…ices (#155)\n\nRe-expose the embedded `frame_numbers` that the HDF5 readers already parse\nbut kept private, behind a typed public API, so consumers can ask which\nframes of an embedded (pkg.slp) video actually have a stored image.\n\n- VideoBackend: add optional public `frameNumbers?: number[]`.\n- Hdf5V\n[…]\nly additive; no SLP write or serialization change. Powers sleap-app's\n\"navigate imaged frames only\" mode (talmolab/sleap-app#137).\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(video): expose embedded frame numbers via Video.embeddedFrameInd…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-06-04T18:41:18Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "e9c7b02bc7573865993f7b9ea9830508e4280e18",
          "body": "…Python PR #438) (#154)\n\nIssue #148 / Python sleap-io PR #438 fixed a jsonpickle SkeletonEncoder\nbug where edge-less (single-node / isolated) skeletons emitted dangling\npy/id refs and round-tripped to EMPTY. The JS port does NOT reproduce\nthis: it has no jsonpickle encoder, and every skeleton serial\n[…]\nts ctor) confirms isolated nodes are preserved.\n\nCo-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "test(skeleton): regression suite for edge-less/isolated nodes (#148, …",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-02T21:19:11Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "100ea9e90a67329cff0ed164645862e6e462856f",
          "body": "Port Python sleap-io's virtual cropping to the JS library: a video can carry\nan axis-aligned, on-read crop that is applied lazily per frame and round-trips\nthrough a new /video_crops SLP dataset (format 2.3), closing a silent data-loss\ngap (a JS reader at format <=2.2 would otherwise load uncropped \n[…]\n + format note. Browser bundle stays skia-free.\n\nCo-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(video): virtual on-read cropping + SLP format 2.3 round-trip (#147)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-02T18:43:30Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "2a8d445001a366e4a64632baf09fc23082bad77e",
          "body": "Port Python sleap-io PR #374 overlay rendering to the JS Node raster path,\nclosing the implementation portion of #96.\n\nNew module src/rendering/overlays.ts (Node-only) implements a faithful port\nof overlays.py + the _apply_overlay dispatcher from core.py:\n\n- drawMasks      — alpha-blend Segmentation\n[…]\nmd with runnable examples and an API reference.\n\nCo-authored-by: github-actions[bot] <github-actions[bot]@users.noreply.github.com>\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(rendering): segmentation overlay rendering (Python PR #374) (#146)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-06-02T13:56:07Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "edaee66eefafa3cee8b8297e56195acc20d0eb94",
          "body": "Co-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Bump version to 0.4.0 (#145)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-30T14:32:27Z",
          "body_truncated": false,
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        },
        {
          "oid": "d7a4f38afad8c9cc1acc0ab7d7bf80c69bc73f8e",
          "body": "…21) (#141)\n\nPort the read path of Python sleap-io's `read_label_images` (tiff.py, PR #421)\nto a new `loadLabelImages()`. Closes the last v0.4.0 parity gap (#110, #140).\n\nTIFF label images are dense integer rasters (one label ID per pixel) from\nsegmentation tools (Cellpose, StarDist, ImageJ, ilastik\n[…]\nation; coverage for multi-channel\nrejection, classes-mode Map categories, directory+frames, out-of-range frames,\nempty directory).\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(io): add TIFF label-image reader loadLabelImages() (Python PR #4…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-30T04:52:47Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "c3febf52b1720674b5176cf70d4a0c10b3a8fd5b",
          "body": "…n PR #387) (#139)\n\n`LabelImage.fromArray` (the JS counterpart of Python `LabelImage.from_numpy`)\nauto-created one Track per label ID whenever `tracks` was omitted. Python PR #387\nremoved that default — pure segmentation workflows (e.g. Cellpose) produce\ninstances that don't need tracking — and `fro\n[…]\n\n- Tests updated to the new default + an explicit `createTracks` opt-in test;\n  docs note the behavior on the `fromArray` example.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(label-image): no tracks by default in LabelImage.fromArray (Pytho…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-30T03:09:22Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "3b7e27087cf0685da9e1ba85b2d888631172f63f",
          "body": "Native read support for Norpix StreamPix `.seq` files — a high-speed video\nformat common in behavioral neuroscience. `loadVideo(\"recording.seq\")` (Node,\nby path) and a browser `File`/`Blob` both work, no conversion needed. Ports\nPython sleap-io PR #380 (issue #95).\n\n- New `src/video/seq-video.ts` (b\n[…]\no on-disk `.seq-index.json` cache (the\nindex is rebuilt per open); no `grayscale` force option. Both can be added\nlater if needed.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(video): add Norpix .seq video backend (Python PR #380) (#138)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-30T01:29:19Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "270698d74d6213002ed3a90ddb02759750b7c6e3",
          "body": "Trace a node or centroid trajectory over the last N frames so users can\nsee how animals moved through rendered output. Trails are drawn behind\nthe poses and fade from faint (oldest) to opaque (newest).\n\nThis was the main unported gap remaining in the v0.4.0 release tracking\nissue (#110); the other o\n[…]\nython (intentional, JS-idiomatic): canvas per-segment\nalpha blending instead of skia's kSrc buffer; no CLI (the JS port has none).\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(rendering): port motion-trail overlay (Python PR #434) (#137)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-30T01:01:49Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "4142f70caad4537c1b42d7e7020a535b9f10fcde",
          "body": "… (#135) (#136)\n\nSwitching videos in a .slp with embedded images froze the UI for 0.5-3.3s per\nswitch: both HDF5 embedded-image backends read, transferred, and magic-byte\nscanned the entire per-video dataset to show one frame, then cached the whole\ndecompressed buffer forever.\n\nRead only the request\n[…]\nded FF D8 FF, sparse frame-number mapping, and a real vlen\npkg.slp) asserting the whole-dataset read is never taken.\n\nCloses #135.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(video): slice one embedded frame instead of reading whole dataset…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T23:30:05Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "8b88f170dc848451ea6397a34095d61058fdd29b",
          "body": "Port the reader half of Python sleap-io's `sleap_io/io/jabs.py` (v0.7.0,\nPR #371) to JS, adding `loadJabs()` for JABS (Jackson Lab Animal Behavior\nSystem) pose files.\n\nNew Node-only module `src/io/jabs.ts` (reads HDF5 via `openH5File`/h5wasm,\nexported from `src/index.ts`, not the browser bundle):\n\n-\n[…]\nest_v5.h5` (multi-mouse, 250 frames, arena corners)\nfixtures copied verbatim from the Python repo. Docs updated (README + api.md).\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(io): port JABS pose-file reader (#99) (#134)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T19:20:14Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "a02086dc8daa8d02a18ebd4b686938a981f13c5c",
          "body": "Port Python sleap-io's `sleap_io/io/ultralytics.py` (v0.7.x, PR #395) to JS,\nadding detection + segmentation + pose support for Ultralytics YOLO datasets.\n\nNew module `src/io/ultralytics.ts` (Node-only, like `io/trackmate.ts`):\n\n- `loadUltralytics` / `readLabels` — read a dataset (data.yaml + images\n[…]\nencoder coverage. Fixture dataset copied verbatim\nfrom the Python repo (`tests/data/ultralytics`). Docs updated (README + api.md).\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(io): port Ultralytics YOLO reader/writer (#100) (#133)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T18:50:07Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "a676d4c75da50b16f0833c8b9cff84d1a7b37fbf",
          "body": "…#130)\n\nMigrates the dev toolchain from npm + Vitest to Bun (bun@1.3.14) as package\nmanager, script runner, and test runner. The npm publish step (OIDC trusted\npublishing / provenance) is retained in release.yml.\n\n- packageManager bun@1.3.14; test -> `bun test --parallel`, test:coverage ->\n  `bun te\n[…]\nnd analysis-h5 writes (Bun does not pre-create it).\n- Docs: README + new CONTRIBUTING.md document the Bun toolchain.\n\nCloses #130.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "build: migrate from npm to Bun (package manager + test runner + CI) (…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T17:36:22Z",
          "body_truncated": true,
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        },
        {
          "oid": "34d4c013911718da1076820caa9cdee1e2b7042d",
          "body": "…) (#131)\n\n* feat(io): port SLEAP Analysis-HDF5 (.analysis.h5) reader+writer (#104)\n\nPort `sleap_io/io/analysis_h5.py` (read_labels/write_labels/\nis_analysis_h5_file) plus the `to_analysis_arrays` array builder from\n`sleap_io/codecs/numpy.py` to TypeScript, with exact Python parity.\n\nNew `src/io/ana\n[…]\nysis-h5.test.ts both green\n(63 tests); tsc clean.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(io): port SLEAP Analysis-HDF5 (.analysis.h5) reader+writer (#104…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T17:17:27Z",
          "body_truncated": true,
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        },
        {
          "oid": "c4b25e07f7589dd1805dd38521a20c24614d5be1",
          "body": "…thon PR #436) (#129)\n\nCompletes Python PR #436: matchVideo() shipped in #127; this widens the lookup APIs to resolve foreign video references.\n\n- Add private sync Labels._resolveVideo (identity -> strict-path -> basename, raising on ambiguity; no-match returns a usable Video so lookups yield empty)\n[…]\nhich matchesPath(strict) already does), so the lookups stay sync. 21 new parity tests; full suite 1033 passing, 1 skipped.\n\nCloses #107.\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)",
          "is_bot": false,
          "headline": "feat(labels): widen lookups to accept Video | string | URL (#107 / Py…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T05:08:20Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "06ecf1f7796d5b4a96ecef5e6178bd35971ea8cb",
          "body": "…2) (#128)\n\nAdds end-to-end Labels.merge assertions for #108 (PR #432) — the fix already shipped with the merge subsystem (#127); these pin the behavior as a named regression suite:\n- non-colliding incoming negative frame -> appended with isNegative preserved\n- colliding both/one negative + no user \n[…]\n user pose -> flag cleared + negative_flag_conflict\n- colliding negative + predicted-only -> not vetoed\n\nSuite: 1012 passing, 1 skipped.\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)",
          "is_bot": false,
          "headline": "test(merge): end-to-end isNegative preservation (#108 / Python PR #43…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T04:11:51Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "d1752391a83b0a812b5f215d5f3ffba99cac17cc",
          "body": "…parity (#90) (#127)\n\nPorts the entire sleap-io Python merge/matching subsystem to TypeScript with exact behavioral parity (Python @ 054cce39f).\n\n- src/model/matching.ts: 6 enums, 4 matchers (SkeletonMatcher/InstanceMatcher/TrackMatcher/VideoMatcher incl. AUTO 6-stage cascade + pose/image matching),\n[…]\nl validated). Fixes: Instance.overlapsWith strict-intersection short-circuit; node:fs kept out of the browser bundle (#70).\n\nCloses #90.\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)",
          "is_bot": false,
          "headline": "Port Labels.merge/match/clean + matching subsystem with exact Python …",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T03:52:30Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "cfbf1413e13abb5a81b4a4b7e6e2b74ce3a035d4",
          "body": "Patch release: streaming SLP reader fixes and two small enhancements.\nSee the v0.3.1 release notes for details.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Bump version to 0.3.1 (#126)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T00:25:14Z",
          "body_truncated": false,
          "is_coding_agent": true
        },
        {
          "oid": "b4c6e0daa97c07b85e9ce1cca5edecd20ba1e71e",
          "body": "…) (#125)\n\nThe previous change removed the npm upgrade step entirely, but it was\nload-bearing: this repo uses npm trusted publishing (OIDC, tokenless),\nwhich requires npm >= 11.5.1. Node 22 bundles npm 10.x, which can sign\nprovenance but cannot authenticate via OIDC — so `npm publish` returns\na 404 \n[…]\n of @latest, since a transiently broken @latest (missing\npromise-retry module) is what caused the original v0.3.0 publish to fail.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(ci): pin npm 11.16.0 for trusted publishing (restore upgrade step…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T00:22:27Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "80f5cd0160162f2cb7004f065d725b3d3bc55926",
          "body": "The v0.3.0 release failed to publish to npm: the \"Update npm\" step\n(`npm install -g npm@latest`) crashed with `Cannot find module\npromise-retry` from a broken npm@latest, so `npm publish` never ran\nand npm stayed at 0.2.3.\n\n- Remove the fragile `npm install -g npm@latest` step; Node 22 ships\n  npm 1\n[…]\nef`) so a failed or\n  missed publish can be re-run for any tag from the fixed workflow on\n  the default branch, without retagging.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix(ci): make release publish robust and re-runnable (#124)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-29T00:17:44Z",
          "body_truncated": true,
          "is_coding_agent": true
        },
        {
          "oid": "5bbba15ca6260395abf68392146b898f28bb36b6",
          "body": "…) (#122)\n\nFiles written by sleap-io.js store compound data as flat arrays with a\nfield_names HDF5 attribute (JSON string). The streaming reader only\nchecked dtype metadata for field names, never the attribute — causing\n0 labeled frames when reopening sleap-app-saved files.\n\nAdds attribute fallback \n[…]\nder's getFieldNames fallback chain (read.ts:1356-1372).\n\nCloses #120\nSee also: PR #106 (closed, contained original implementation)\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix: read field_names JSON-string attribute in streaming reader (#120…",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-05-28T18:49:44Z",
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          "oid": "0c4f1de35a7c273e548ece2186079df2f15bfa7c",
          "body": "The streaming reader's getFieldNamesFromMeta fix (the Array.isArray\nbranch added in this PR) guards a silent-failure path: a regression\nwould drop all frames/instances/points with no thrown error. The\nstreaming path is browser/Worker-gated and unreachable from the\nall-Node test suite, so add a focus\n[…]\n.10.x emits for the\n  repo Python fixtures) plus regression guards for the legacy\n  string-repr and object-compound_type branches.\n\nCo-authored-by: Claude Opus 4.8 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "test: cover h5wasm 0.10.x array-of-pairs compound dtype branch (#121)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-28T18:21:37Z",
          "body_truncated": true,
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          "oid": "d7a62506c79a30de1ab5fd25417361d1a838c555",
          "body": "Two changes to match Python sleap-io's lazy shape behavior for embedded videos:\n\n1. Read height/width/channels from HDF5 dataset attributes when JSON\n   metadata is missing (common for pkg.slp files). Allows shape to be\n   partially set ([0, H, W, C]) even before frame data is loaded.\n\n2. Add probeS\n[…]\nthe frame count for correct seekbar range.\n   Shares the cachedData loading path with getFrame to avoid double-reads.\n\nCloses #117\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix: lazy video shape probing for pkg.slp embedded videos (#117) (#119)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-05-28T18:12:26Z",
          "body_truncated": true,
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          "oid": "861b8deb60acb94b7970eb783840025dee4abe8b",
          "body": "h5wasm 0.10.x returns compound dataset dtypes as an array of\n[name, type] pairs (e.g., [[\"frame_id\", \"<Q\"], [\"video\", \"<I\"]]).\ngetFieldNamesFromMeta only handled the older string and\nobject-with-compound_type formats, returning [] for the new format\nand causing 0 labeled frames in the streaming reader.\n\nCloses #113\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix: handle h5wasm 0.10.x array-of-pairs compound dtype format (#114)",
          "author_name": "AmickL",
          "author_login": "alicup29",
          "committed_at": "2026-05-28T18:11:38Z",
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          "oid": "89ba1608b2fd639db2aa2b5304c3ce648ac51f6b",
          "body": "* feat(labels): add dedupSkeletons() helper (#103)\n\nAdds Labels.dedupSkeletons() as an opt-in helper for collapsing\ncontent-equal skeletons that appear in legacy .slp files (pre-1.5\nPython sleap's identity-based Labels.update() accumulated a fresh\nSkeleton per inference run).\n\nPartitions Labels.skel\n[…]\nirst) skeleton wins and the others are discarded.\n\nCo-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(labels): add dedupSkeletons() helper (#103) (#118)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-28T17:35:13Z",
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          "oid": "fb865c80a4fa478bd5099a7398096e964609399b",
          "body": "* feat(numpy): add numFrames option to Labels.numpy() and toNumpy()\n\nAdds an optional `numFrames?: number` parameter to `Labels.numpy()`,\n`LazyDataStore.toNumpy()`, and the `toNumpy` codec wrapper. The override\nsets the output's frame dimension explicitly, taking precedence over\n`video.shape[0]`. Un\n[…]\nilently-truncated or RangeError-throwing outputs.\n\nCo-Authored-By: Claude Opus 4.7 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "feat(numpy): add numFrames option to Labels.numpy() and toNumpy() (#116)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-27T23:41:21Z",
          "body_truncated": true,
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          "oid": "bed6b68709b1da7caeafc9609f99f472738f482d",
          "body": "…, #421) (#115)\n\nCloses #109. Two of the four upstream fixes are JS-architectural no-ops; the\nother two are real fixes with test coverage.\n\n- #414 (lazy static-ROI video association): already preserved in JS via\n  Side fix B at write.ts:359-367. Existing coverage at\n  tests/lazy-write.test.ts \"prese\n[…]\nro-value inputs (e.g. [0, 5, 5]\n  meaning \"one object at class 5\") are still accepted and binarized by\n  encodeRle's truthy check.\n\nCo-authored-by: Claude Opus 4.7 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "fix: port Python sleap-io v0.7.0 correctness bundle (#414, #419, #420…",
          "author_name": "Talmo Pereira",
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          "committed_at": "2026-05-27T21:50:00Z",
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          "oid": "913c630a430a184ca65148b765bb2f6131d2e96d",
          "body": "Closes #105.\n\nEnables reading embedded video frames from `.pkg.slp` files in the browser, plus follow-up correctness fixes surfaced in review.\n\n## Primary changes (browser-side embedded video)\n- Bump h5wasm `0.8.8` → `0.10.2` (libhdf5 1.14.6 → 2.0.0). Fixes \"incorrect metadata checksum\" and \"bad obj\n[…]\np-node,upload-artifact}` to clear the Node 20 deprecation warning surfaced on every CI run.\n\nPart of the v0.4.0 catch-up release (#110).\n\n🤖 Generated with [Claude Code](https://claude.com/claude-code)",
          "is_bot": false,
          "headline": "fix: support pkg.slp embedded video frames in browser (#111)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-05-27T21:20:58Z",
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          "oid": "d7c1165c804135a7818e75534ccbc7e44e9c81df",
          "body": "- api.md: Note ROI.video retention vs frameIdx removal\n- index.md: Fill format version gaps (2.0 corner bboxes, 2.2 chunked label images)\n- lite.md: Clarify pako stays out of the lite bundle\n- demo.md: Link to demo source on GitHub\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "docs: Minor cleanups from v0.3.0 audit (#102)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-04-13T21:42:23Z",
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          "oid": "7bc1108134c749069f3f3002b66609747dc9935b",
          "body": "* docs: Refresh for v0.3.0 API changes\n\nFixes broken copy-paste examples and fills missing coverage across\nREADME.md, docs/api.md, and docs/usage.md to match the v0.3.0 API\nsurface. Two systemic patterns from PR #94 (removed video/frameIdx\nfrom annotation constructors; removed Labels.add*() helpers \n[…]\npe-only import for type-safe strategy call sites.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "docs: Refresh for v0.3.0 API changes (#101)",
          "author_name": "Talmo Pereira",
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          "committed_at": "2026-04-13T21:24:31Z",
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          "oid": "9e3e1b8d59b2ee18ea49f9dab04a74b511d04506",
          "body": "…bjects (#94)\n\n* Port Python sleap-io PR #411: Remove video/frameIdx from annotation objects\n\nRemove video and frameIdx attributes from Centroid, BoundingBox,\nSegmentationMask, and LabelImage so annotations derive spatial-temporal\ncontext from their parent LabeledFrame. Remove frameIdx from ROI (kee\n[…]\ncross-library bug filed as talmolab/sleap-io#413.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Port Python sleap-io PR #411: Remove video/frameIdx from annotation o…",
          "author_name": "Talmo Pereira",
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          "committed_at": "2026-04-13T12:59:33Z",
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          "oid": "4d941983b611582fa54c2a05561656b8535edff5",
          "body": "_mergeAnnotations() now respects the frame merge strategy for each\nannotation modality independently. auto and update_tracks strategies\nuse spatial matching (centroid distance) for annotations, mirroring\nthe same resolution cascade used for pose instances.\n\nAdds 4 module-level helpers (_annotationCe\n[…]\nresolveAnnotationUpdateTracks) and 20 new tests\ncovering all 6 strategies across centroids, bboxes, masks, ROIs, and\nlabel images.\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Port Python sleap-io PR #408: Strategy-aware annotation merging (#93)",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-04-09T17:21:09Z",
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          "oid": "0202908e7115ae613d1b1abd92b4b6ad545080bc",
          "body": "…e corruption in merge (#92)\n\n- Shallow-copy annotations in _mergeAnnotations() to prevent source\n  corruption when references are later remapped\n- Add _checkNotLazy() guards to getFrame() and getTrackAnnotations()\n- Add Labels.removePredictions() with index invalidation\n- Fix removePredictions inst\n[…]\n filter (PredictedInstance extends Instance)\n- Add staleness notes to index-backed lookup docstrings\n\nCloses talmolab/sleap-io#404\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Port Python sleap-io PR #407: Index staleness, lazy guards, and sourc…",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-04-09T04:43:03Z",
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          "oid": "42a933bf042095cc48c147f41f26ba44df503aa6",
          "body": "…(#91)\n\n* Port Python sleap-io PR #403: Frame and track indices for O(1) lookups\n\nAdd lazy-built Map indices to Labels for fast frame and track queries:\n- Frame index: Map<Video, Map<number, LabeledFrame>> with O(1) lookup\n  via getFrame(). Auto-rebuilds when labeledFrames length changes.\n- Track in\n[…]\nin #90 since those methods don't exist in JS yet.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Port Python sleap-io PR #405: Optimize rendering track index lookups …",
          "author_name": "Talmo Pereira",
          "author_login": "talmo",
          "committed_at": "2026-04-08T04:26:58Z",
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          "oid": "8a31170bddc20a0803f1774da84e6a698db5fc7a",
          "body": "…s (#89)\n\nAdd lazy-built Map indices to Labels for fast frame and track queries:\n- Frame index: Map<Video, Map<number, LabeledFrame>> with O(1) lookup\n  via getFrame(). Auto-rebuilds when labeledFrames length changes.\n- Track index: Map<Video, Map<Track, Annotation[]>> with O(1) lookup\n  via getTrac\n[…]\nidation after batch mutations.\n- Invalidate indices in append(), _addAnnotation(), replaceVideos().\n\nCloses talmolab/sleap-io#150.\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Port Python sleap-io PR #403: Frame and track indices for O(1) lookup…",
          "author_name": "Talmo Pereira",
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          "oid": "1d288ec13f06fe01a6e07b2a24b3ef4140063469",
          "body": "* Port Python sleap-io PR #402: Nest annotations in LabeledFrame\n\nMove annotations (centroids, bboxes, masks, labelImages, rois) from flat\nlists on Labels to per-frame lists on LabeledFrame, enabling O(1)\nframe-level annotation access for interactive proofreading.\n\nKey changes:\n- LabeledFrame: Add 5\n[…]\nary frame negative indexing in LazyFrameList.at()\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Port Python sleap-io PR #402: Nest annotations in LabeledFrame (#88)",
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          "body": "…) (#87)\n\n* feat: add LazyDataStore.copy() for lazy-aware deep copying\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n* feat: add Labels.replaceVideos() to remap video references\n\nPorts Python sleap-io's replace_videos() method. Updates video references\nacross all 8 collectio\n[…]\nption for controlling backend behavior on copies.\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Port Python sleap-io PR #401: Labels.copy() and Labels.replaceVideos(…",
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          "body": "…eader (#86)\n\n* Port Python sleap-io PRs #397, #399: Centroid model + TrackMate CSV reader\n\nAdds first-class Centroid data model (Centroid, UserCentroid, PredictedCentroid)\nwith Instance interconversion and SLP persistence. Backfills trackingScore onto\nall annotation types (BoundingBox, ROI, Segment\n[…]\nTrackMate and centroid usage examples to usage.md\n\nCo-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>\n\n---------\n\nCo-authored-by: Claude Opus 4.6 (1M context) <noreply@anthropic.com>",
          "is_bot": false,
          "headline": "Port Python sleap-io PRs #397, #399: Centroid model + TrackMate CSV r…",
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        {
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        {
          "type": "User",
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        "pr-preview.yml",
        "release.yml"
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      "linter_configs": [
        "biome.json"
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      "has_linter_config": true,
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        "checks": [
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#binary-artifacts"
          },
          {
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            "reason": "internal 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",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#branch-protection"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#ci-tests"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#code-review"
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          {
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#contributors"
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          {
            "name": "Dangerous-Workflow",
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            "reason": "no dangerous workflow patterns detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dangerous-workflow"
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            "name": "Dependency-Update-Tool",
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            "reason": "no update tool detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#dependency-update-tool"
          },
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            "reason": "project is not fuzzed",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#fuzzing"
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          {
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            "reason": "license file detected",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#license"
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          {
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          {
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            "reason": "packaging workflow detected",
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            "reason": "dependency not pinned by hash detected -- score normalized to 0",
            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#pinned-dependencies"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#sast"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#security-policy"
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            "documentation_url": "https://github.com/ossf/scorecard/blob/c395761df6afe1a69e476bc60a013a94bcbc153f/docs/checks.md#token-permissions"
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            "name": "Vulnerabilities",
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          "number": 237,
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        {
          "number": 239,
          "created_at": "2026-07-21T17:37:53Z",
          "last_comment_at": null,
          "last_comment_author": null
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      "key": "overall",
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      "note": null,
      "notes": [],
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                "key": "commit_cadence",
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              {
                "key": "watchers",
                "name": "Watchers",
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                "status": "missed",
                "details": [
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            "key": "community_health",
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            "name": "Community health",
            "note": null,
            "notes": [],
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            "inputs": {
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              "has_contributing": true,
              "has_issue_template": false,
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              "has_pull_request_template": false
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            "components": [
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                "points": 22.5,
                "status": "met",
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                "key": "license",
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                "detail": "recognized license (BSD-3-Clause)",
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                "status": "met",
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                "detail": null,
                "points": 0,
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        "metrics": [
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                "key": "pr_acceptance",
                "name": "PR acceptance",
                "detail": "168/172 decided PRs merged",
                "points": 37.4,
                "status": "partial",
                "details": [
                  {
                    "code": "decided_prs_merged",
                    "params": {
                      "merged": 168,
                      "decided": 172
                    }
                  }
                ],
                "max_points": 38.25
              },
              {
                "key": "openssf_scorecard_code_review",
                "name": "OpenSSF Scorecard: Code-Review",
                "detail": "Found 1/30 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              }
            ]
          },
          {
            "key": "stewardship",
            "band": "moderate",
            "name": "Ownership & stewardship",
            "note": null,
            "notes": [],
            "value": 66,
            "inputs": {
              "followers": 76,
              "owner_type": "Organization",
              "is_verified": null,
              "owner_login": "talmolab",
              "public_repos": 93,
              "account_age_days": 1725
            },
            "components": [
              {
                "key": "ownership_backing",
                "name": "Ownership backing",
                "detail": "organization-owned",
                "points": 30,
                "status": "met",
                "details": [
                  {
                    "code": "owner_organization",
                    "params": {}
                  }
                ],
                "max_points": 30
              },
              {
                "key": "verified_domain",
                "name": "Verified domain",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 20
              },
              {
                "key": "owner_reach",
                "name": "Owner reach",
                "detail": "76 followers of talmolab",
                "points": 13.6,
                "status": "partial",
                "details": [
                  {
                    "code": "owner_followers",
                    "params": {
                      "count": 76,
                      "login": "talmolab"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "track_record",
                "name": "Track record",
                "detail": "93 public repos, account ~4 yr old",
                "points": 22.4,
                "status": "partial",
                "details": [
                  {
                    "code": "public_repos",
                    "params": {
                      "count": 93
                    }
                  },
                  {
                    "code": "account_age_years",
                    "params": {
                      "years": 4
                    }
                  }
                ],
                "max_points": 25
              }
            ]
          },
          {
            "key": "package_maintenance",
            "band": "excellent",
            "name": "Package maintenance",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "packages": [
                "@talmolab/sleap-io.js"
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              "ecosystems": "npm",
              "any_deprecated": false,
              "min_days_since_publish": 6
            },
            "components": [
              {
                "key": "published_resolvable",
                "name": "Published & resolvable",
                "detail": "1 package(s) on npm",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "packages_published",
                    "params": {
                      "count": 1,
                      "ecosystems": "npm"
                    }
                  }
                ],
                "max_points": 25
              },
              {
                "key": "publish_recency",
                "name": "Publish recency",
                "detail": "latest publish 6 days ago",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "publish_recency",
                    "params": {
                      "days": 6
                    }
                  }
                ],
                "max_points": 35
              },
              {
                "key": "version_history",
                "name": "Version history",
                "detail": "24 published versions",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "published_versions",
                    "params": {
                      "count": 24
                    }
                  }
                ],
                "max_points": 20
              },
              {
                "key": "not_deprecated",
                "name": "Not deprecated",
                "detail": "active, not deprecated or yanked",
                "points": 20,
                "status": "met",
                "details": [
                  {
                    "code": "package_not_deprecated",
                    "params": {}
                  }
                ],
                "max_points": 20
              }
            ]
          }
        ],
        "description": "Will the project survive its people — bus factor, responsiveness, who backs it, and package upkeep?"
      },
      {
        "key": "engineering",
        "band": "good",
        "name": "Engineering Quality",
        "value": 82,
        "weight": 0.2,
        "metrics": [
          {
            "key": "engineering_practices",
            "band": "good",
            "name": "Engineering practices",
            "note": null,
            "notes": [],
            "value": 84,
            "inputs": {
              "has_ci": true,
              "has_tests": true,
              "has_editorconfig": false,
              "has_linter_config": true,
              "has_precommit_config": false
            },
            "components": [
              {
                "key": "ci_workflows",
                "name": "CI workflows",
                "detail": "4 workflow(s)",
                "points": 24,
                "status": "met",
                "details": [
                  {
                    "code": "ci_workflows",
                    "params": {
                      "count": 4
                    }
                  }
                ],
                "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": "biome.json",
                "points": 16,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "biome.json"
                    }
                  }
                ],
                "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": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 20,
                "status": "met",
                "details": [],
                "max_points": 20
              }
            ]
          },
          {
            "key": "documentation",
            "band": "good",
            "name": "Documentation",
            "note": null,
            "notes": [],
            "value": 80,
            "inputs": {
              "topics": [],
              "has_wiki": true,
              "homepage": "http://iojs.sleap.ai/",
              "has_readme": true,
              "has_docs_dir": true,
              "has_description": false
            },
            "components": [
              {
                "key": "readme",
                "name": "README",
                "detail": null,
                "points": 30,
                "status": "met",
                "details": [],
                "max_points": 30
              },
              {
                "key": "documentation_directory",
                "name": "Documentation directory",
                "detail": null,
                "points": 25,
                "status": "met",
                "details": [],
                "max_points": 25
              },
              {
                "key": "documentation_homepage_site",
                "name": "Documentation / homepage site",
                "detail": "http://iojs.sleap.ai/",
                "points": 15,
                "status": "met",
                "details": [],
                "max_points": 15
              },
              {
                "key": "repository_description",
                "name": "Repository description",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "topics",
                "name": "Topics",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "wiki",
                "name": "Wiki",
                "detail": null,
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              }
            ]
          }
        ],
        "description": "Are baseline engineering and documentation practices in place?"
      },
      {
        "key": "security",
        "band": "moderate",
        "name": "Security",
        "value": 54,
        "weight": 0.16,
        "metrics": [
          {
            "key": "security_posture",
            "band": "at_risk",
            "name": "Security posture",
            "note": "Excluded from scoring (no data or not applicable): Branch-Protection, Signed-Releases. Remaining weights renormalized.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "branch_protection",
                    "signed_releases"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              }
            ],
            "value": 43,
            "inputs": {
              "source": "openssf_scorecard",
              "checks_evaluated": 16,
              "scorecard_version": "v5.5.0",
              "checks_inconclusive": 2,
              "scorecard_aggregate": 4.2
            },
            "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": "internal 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",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "ci_tests",
                "name": "CI-Tests",
                "detail": "30 out of 30 merged PRs checked by a CI test -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "cii_best_practices",
                "name": "CII-Best-Practices",
                "detail": "no effort to earn an OpenSSF best practices badge detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "code_review",
                "name": "Code-Review",
                "detail": "Found 1/30 approved changesets -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "contributors",
                "name": "Contributors",
                "detail": "project has 3 contributing companies or organizations -- score normalized to 10",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "dangerous_workflow",
                "name": "Dangerous-Workflow",
                "detail": "no dangerous workflow patterns detected",
                "points": 10,
                "status": "met",
                "details": [],
                "max_points": 10
              },
              {
                "key": "dependency_update_tool",
                "name": "Dependency-Update-Tool",
                "detail": "no update tool detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "fuzzing",
                "name": "Fuzzing",
                "detail": "project is not fuzzed",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "license",
                "name": "License",
                "detail": "license file detected",
                "points": 2.5,
                "status": "met",
                "details": [],
                "max_points": 2.5
              },
              {
                "key": "maintained",
                "name": "Maintained",
                "detail": "30 commit(s) and 21 issue activity found in the last 90 days -- score normalized to 10",
                "points": 7.5,
                "status": "met",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "packaging",
                "name": "Packaging",
                "detail": "packaging workflow detected",
                "points": 5,
                "status": "met",
                "details": [],
                "max_points": 5
              },
              {
                "key": "pinned_dependencies",
                "name": "Pinned-Dependencies",
                "detail": "dependency not pinned by hash detected -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "sast",
                "name": "SAST",
                "detail": "SAST tool is not run on all commits -- score normalized to 0",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "security_policy",
                "name": "Security-Policy",
                "detail": "security policy file not detected",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 5
              },
              {
                "key": "signed_releases",
                "name": "Signed-Releases",
                "detail": "no releases found",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "no_data",
                    "params": {}
                  }
                ],
                "max_points": 7.5
              },
              {
                "key": "token_permissions",
                "name": "Token-Permissions",
                "detail": "detected GitHub workflow tokens with excessive permissions",
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 7.5
              },
              {
                "key": "vulnerabilities",
                "name": "Vulnerabilities",
                "detail": "9 existing vulnerabilities detected",
                "points": 0.8,
                "status": "partial",
                "details": [],
                "max_points": 7.5
              }
            ]
          },
          {
            "key": "dependency_advisories",
            "band": "excellent",
            "name": "Dependency advisories",
            "note": "Excluded from scoring (no data or not applicable): No advisories left outstanding. Remaining weights renormalized. Matched the npm:@talmolab/sleap-io.js@0.5.6 runtime dependency closure — what installing the published package pulls in — 20 packages. Reachability is not analyzed.",
            "notes": [
              {
                "code": "excluded_no_data",
                "params": {
                  "components": [
                    "no_advisories_left_outstanding"
                  ]
                }
              },
              {
                "code": "weights_renormalized",
                "params": {}
              },
              {
                "code": "advisories_scope_published",
                "params": {
                  "package": "npm:@talmolab/sleap-io.js@0.5.6",
                  "assessed": 20
                }
              },
              {
                "code": "advisories_reachability",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "source": "osv",
              "advisories": 0,
              "affected_packages": 0,
              "assessed_packages": 20,
              "unassessed_packages": 0,
              "affected_by_severity": "none",
              "direct_affected_packages": 0
            },
            "components": [
              {
                "key": "direct_dependencies_free_of_known_advisories",
                "name": "Direct dependencies free of known advisories",
                "detail": "no direct dependency carries a known advisory",
                "points": 35,
                "status": "met",
                "details": [
                  {
                    "code": "no_direct_advisories",
                    "params": {}
                  }
                ],
                "max_points": 35
              },
              {
                "key": "indirect_dependencies_free_of_known_advisories",
                "name": "Indirect dependencies free of known advisories",
                "detail": "no indirect dependency carries a known advisory",
                "points": 25,
                "status": "met",
                "details": [
                  {
                    "code": "no_indirect_advisories",
                    "params": {}
                  }
                ],
                "max_points": 25
              },
              {
                "key": "no_advisories_left_outstanding",
                "name": "No advisories left outstanding",
                "detail": "no advisory carries a publication date",
                "points": 0,
                "status": "excluded",
                "details": [
                  {
                    "code": "advisories_no_publication_date",
                    "params": {}
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "malicious_dependencies",
            "band": "excellent",
            "name": "Malicious dependencies",
            "note": null,
            "notes": [],
            "value": 100,
            "inputs": {
              "source": "osv",
              "meaning": "reported as a malicious package by the OpenSSF corpus; the remedy is removal or moving off the compromised name, never an upgrade of the same artifact. Versions the registry has since pulled are listed but not scored",
              "packages": [],
              "red_flag": false,
              "assessed_packages": 20,
              "malicious_packages": 0,
              "direct_malicious_packages": 0,
              "withdrawn_malicious_packages": 0,
              "installable_malicious_packages": 0
            },
            "components": [
              {
                "key": "no_dependency_reported_as_a_malicious_package",
                "name": "No dependency reported as a malicious package",
                "detail": "no dependency is reported as a malicious package",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "no_malicious_dependencies",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          },
          {
            "key": "high_risk_jurisdiction_exposure",
            "band": "excellent",
            "name": "High-Risk Jurisdiction Exposure",
            "note": "Only high-confidence self-published location evidence affects this multiplier. Ambiguous matches are review-only; country evidence is not proof of nationality, citizenship, legal registration, malicious intent, or sanctions status.",
            "notes": [
              {
                "code": "jurisdiction_evidence_limits",
                "params": {}
              }
            ],
            "value": 100,
            "inputs": {
              "meaning": "self-published location evidence; not nationality or citizenship",
              "red_flag": false,
              "exposures": [],
              "policy_countries": [
                "Russia",
                "Iran",
                "North Korea"
              ],
              "review_only_matches": 0,
              "assessed_self_published_locations": 7
            },
            "components": [
              {
                "key": "policy_exposure_multiplier",
                "name": "Policy exposure multiplier",
                "detail": "no confirmed policy-scope location match",
                "points": 100,
                "status": "met",
                "details": [
                  {
                    "code": "jurisdiction_no_match",
                    "params": {}
                  }
                ],
                "max_points": 100
              }
            ]
          }
        ],
        "description": "Are visible security and supply-chain practices strong, with no malicious dependency and no unresolved high-risk jurisdiction exposure?"
      },
      {
        "key": "ai_readiness",
        "band": "moderate",
        "name": "AI Readiness",
        "value": 57,
        "weight": 0,
        "metrics": [
          {
            "key": "ai_agent_context",
            "band": "at_risk",
            "name": "Agent context & guidance",
            "note": null,
            "notes": [],
            "value": 40,
            "inputs": {
              "has_llms_txt": false,
              "legible_history_share": 1,
              "agent_instruction_files": [],
              "agent_instruction_max_bytes": null
            },
            "components": [
              {
                "key": "agent_instructions",
                "name": "Agent instructions",
                "detail": "no CLAUDE.md / AGENTS.md / editor rules",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_agent_instructions",
                    "params": {}
                  }
                ],
                "max_points": 45
              },
              {
                "key": "machine_readable_docs_llms_txt",
                "name": "Machine-readable docs (llms.txt)",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 15
              },
              {
                "key": "legible_commit_history",
                "name": "Legible commit history",
                "detail": "100 of 100 human commits state their intent (structured subject or explanatory body)",
                "points": 40,
                "status": "met",
                "details": [
                  {
                    "code": "legible_history",
                    "params": {
                      "legible": 100,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 40
              }
            ]
          },
          {
            "key": "ai_verify_loop",
            "band": "moderate",
            "name": "Verify loop (build / test / typecheck)",
            "note": null,
            "notes": [],
            "value": 54,
            "inputs": {
              "has_nix": false,
              "has_tests": true,
              "lockfiles": [],
              "has_dockerfile": false,
              "typed_language": true,
              "bootstrap_files": [],
              "has_devcontainer": false,
              "has_linter_config": true,
              "typecheck_configs": [
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              "agent_commit_share": 0.9,
              "toolchain_manifests": [],
              "dependency_bot_commit_share": 0
            },
            "components": [
              {
                "key": "one_command_bootstrap",
                "name": "One-command bootstrap",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "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": "biome.json",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "biome.json"
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                  }
                ],
                "max_points": 11
              },
              {
                "key": "static_type_checking",
                "name": "Static type checking",
                "detail": "tsconfig.json",
                "points": 11,
                "status": "met",
                "details": [
                  {
                    "code": "file_list",
                    "params": {
                      "files": "tsconfig.json"
                    }
                  }
                ],
                "max_points": 11
              },
              {
                "key": "reproducible_environment",
                "name": "Reproducible environment",
                "detail": null,
                "points": 0,
                "status": "missed",
                "details": [],
                "max_points": 10
              },
              {
                "key": "demonstrated_agent_practice",
                "name": "Demonstrated agent practice",
                "detail": "90 of the last 100 commits agent-authored or agent-credited",
                "points": 10,
                "status": "met",
                "details": [
                  {
                    "code": "agent_authored_commits",
                    "params": {
                      "count": 90,
                      "sampled": 100
                    }
                  }
                ],
                "max_points": 10
              },
              {
                "key": "automated_maintenance",
                "name": "Automated maintenance",
                "detail": "no automated dependency updates observed",
                "points": 0,
                "status": "missed",
                "details": [
                  {
                    "code": "no_dependency_automation",
                    "params": {}
                  }
                ],
                "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",
                "details": [],
                "max_points": 10
              }
            ]
          },
          {
            "key": "ai_code_legibility",
            "band": "excellent",
            "name": "Code legibility for models",
            "note": null,
            "notes": [],
            "value": 99,
            "inputs": {
              "primary_language": "TypeScript",
              "largest_source_bytes": 177032,
              "source_files_sampled": 246,
              "oversized_source_files": 6
            },
            "components": [
              {
                "key": "type_checkable_code",
                "name": "Type-checkable code",
                "detail": "TypeScript (statically typed)",
                "points": 45,
                "status": "met",
                "details": [
                  {
                    "code": "statically_typed_language",
                    "params": {
                      "language": "TypeScript"
                    }
                  }
                ],
                "max_points": 45
              },
              {
                "key": "manageable_file_sizes",
                "name": "Manageable file sizes",
                "detail": "6/246 source files over 60KB",
                "points": 53.7,
                "status": "partial",
                "details": [
                  {
                    "code": "oversized_source_files",
                    "params": {
                      "kb": 60,
                      "sampled": 246,
                      "oversized": 6
                    }
                  }
                ],
                "max_points": 55
              }
            ]
          }
        ],
        "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": "2026-07-27T17:48:54.140931Z",
  "schema_version": "0.27.0",
  "badge_url": "https://raw.githubusercontent.com/inspect-software/badges/main/v1/t/talmolab/sleap-io.js.svg",
  "full_name": "talmolab/sleap-io.js",
  "license_state": "standard",
  "license_spdx": "BSD-3-Clause"
}

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 v0.27.0 — metodología completa · wiki de métricas.

Cómo se sitúa un resultado dentro del registro general: estadísticas agregadasnpm.