Lifelong-Robot-Learning/LIBERO — GitHub trend

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FINDING #3715 · UNIT ID 625323941

Lifelong-Robot-Learning/LIBERO

Benchmarking Knowledge Transfer in Lifelong Robot Learning

[ JUPYTER NOTEBOOK ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00555

ENGAGEMENT0.20

FRESHNESS1.00

SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE

SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)

1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

2.86

ACCEL

+0.61

RETENTION

0.0%

PEAK 2026-07-15 · FORK-RETENTION 0.0% · 20 STARS / WINDOW

Author Audience

AUDIENCE

475

FOLLOWERS

OWNER ★

2,063

Engagement Signals

FORKS

442

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 20 / 20 (DIVERSITY 1.00)

Why This Is A Finding

Lifelong-Robot-Learning/LIBERO собрал 20 звёзд за окно, тогда как у автора всего 31 подписчиков — эффективная аудитория ≈ 475. Это даёт surprise-индекс 0.00555 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

Related Findings

RANKS ABOVE 46% OF 6892 FINDINGS

#754Nicolepcx/ai-agents-the-definitive-guide[ JUPYTER NOTEBOOK ]0.014 #1111adrida/tracer[ JUPYTER NOTEBOOK ]0.00948 #1229Lordog/dive-into-llms[ JUPYTER NOTEBOOK ]0.00847 #1378CalvinXKY/InfraTech[ JUPYTER NOTEBOOK ]0.00759 #1596lit26/finvizfinance[ JUPYTER NOTEBOOK ]0.00636

METRICS IN CONTEXT

MEDIAN ACROSS ALL 6892 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 46%

VELOCITY2.864.14-1.29ABOVE 36%

RETENTION0.0%40.6%-40.6 PPABOVE 0%

FORKS44289+353ABOVE 85%

SURPRISE0.010.01-0.01ABOVE 34%