google-gemma/cookbook — GitHub trend

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FINDING #5424 · UNIT ID 806336991

google-gemma/cookbook

A collection of guides and examples for the Gemma open models from Google.

[ JUPYTER NOTEBOOK ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00101

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

-0.25

RETENTION

23.8%

PEAK 2026-07-19 · FORK-RETENTION 0.0% · 20 STARS / WINDOW

Author Audience

AUDIENCE

2,778

FOLLOWERS

911

OWNER ★

4,779

Engagement Signals

FORKS

640

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 20 / 20 (DIVERSITY 1.00)

Why This Is A Finding

google-gemma/cookbook собрал 20 звёзд за окно, тогда как у автора всего 911 подписчиков — эффективная аудитория ≈ 2,778. Это даёт surprise-индекс 0.00101 (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 28% OF 7487 FINDINGS

#331Dashboard-Design/Power-BI-Design-Files[ JUPYTER NOTEBOOK ]0.017 #681GiovanniPasq/agentic-rag-for-dummies[ JUPYTER NOTEBOOK ]0.0101 #1137teddylee777/machine-learning[ JUPYTER NOTEBOOK ]0.00675 #1227CalvinXKY/InfraTech[ JUPYTER NOTEBOOK ]0.00629 #1302baijiuyang/collision-avoidance2[ JUPYTER NOTEBOOK ]0.00591

METRICS IN CONTEXT

MEDIAN ACROSS ALL 7487 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 28%

VELOCITY2.863.43-0.57ABOVE 42%

RETENTION23.8%30.6%-6.7 PPABOVE 35%

FORKS640125+515ABOVE 86%

SURPRISE0.000.01-0.01ABOVE 17%