Lifelong-Robot-Learning/LIBERO — GitHub trend

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FINDING #3435 · UNIT ID 625323941

Lifelong-Robot-Learning/LIBERO

Benchmarking Knowledge Transfer in Lifelong Robot Learning

[ JUPYTER NOTEBOOK ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00659

ENGAGEMENT0.54

FRESHNESS1.41

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

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

5% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D

3.93

ACCEL

+0.01

RETENTION

40.7%

PEAK 2026-09-22 · FORK-RETENTION 60.0% · 118 STARS / WINDOW

Author Audience

AUDIENCE

557

FOLLOWERS

OWNER ★

2,433

Engagement Signals

FORKS

513

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 118 / 118 (DIVERSITY 1.00)

Why This Is A Finding

Lifelong-Robot-Learning/LIBERO собрал 118 звёзд за окно, тогда как у автора всего 35 подписчиков — эффективная аудитория ≈ 557. Это даёт surprise-индекс 0.00659 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 60.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

Related Findings

RANKS ABOVE 64% OF 9665 FINDINGS

#269Akun-python/autumn-recruitment[ JUPYTER NOTEBOOK ]0.0626 #470Liuziyu77/Valen[ JUPYTER NOTEBOOK ]0.034 #596philshiu/Drosophila_brain_model[ JUPYTER NOTEBOOK ]0.0305 #982xbsheng/atguigu-note[ JUPYTER NOTEBOOK ]0.0227 #1103bicky007/100-python-projects[ JUPYTER NOTEBOOK ]0.021

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9665 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.010.00+0.00ABOVE 64%

VELOCITY3.933.87+0.07ABOVE 51%

RETENTION40.7%18.8%+22.0 PPABOVE 92%

FORKS513120+393ABOVE 82%

SURPRISE0.010.01-0.00ABOVE 44%