Lifelong-Robot-Learning/LIBERO — GitHub trend

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FINDING #3776 · UNIT ID 625323941

Lifelong-Robot-Learning/LIBERO

Benchmarking Knowledge Transfer in Lifelong Robot Learning

[ JUPYTER NOTEBOOK ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.0077

ENGAGEMENT0.41

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

4.29

ACCEL

-0.39

RETENTION

51.4%

PEAK 2026-08-25 · FORK-RETENTION 0.0% · 30 STARS / WINDOW

Author Audience

AUDIENCE

517

FOLLOWERS

OWNER ★

2,253

Engagement Signals

FORKS

464

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 30 / 30 (DIVERSITY 1.00)

Why This Is A Finding

Lifelong-Robot-Learning/LIBERO собрал 30 звёзд за окно, тогда как у автора всего 33 подписчиков — эффективная аудитория ≈ 517. Это даёт surprise-индекс 0.0077 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 0.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

Related Findings

RANKS ABOVE 61% OF 9755 FINDINGS

#249Nicolepcx/ai-agents-the-definitive-guide[ JUPYTER NOTEBOOK ]0.0676 #252gmonce/scikit-learn-book[ JUPYTER NOTEBOOK ]0.066 #291xbsheng/atguigu-note[ JUPYTER NOTEBOOK ]0.047 #409gothmania/pytutor[ JUPYTER NOTEBOOK ]0.0381 #433raiyanyahya/how-to-train-your-gpt[ JUPYTER NOTEBOOK ]0.0362

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9755 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00+0.00ABOVE 61%

VELOCITY4.293.71+0.57ABOVE 55%

RETENTION51.4%37.5%+13.9 PPABOVE 73%

FORKS46490+374ABOVE 85%

SURPRISE0.010.01-0.00ABOVE 45%