barbagroup/CFDPython — GitHub trend

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FINDING #6046 · UNIT ID 16735928

barbagroup/CFDPython

A sequence of Jupyter notebooks featuring the "12 Steps to Navier-Stokes" http://lorenabarba.com/

[ JUPYTER NOTEBOOK ][ ORG ][ GITHUB ↗ ]

SURPRISE SCORE

0.00

Score Breakdown

SURPRISE0.00215

ENGAGEMENT0.66

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

4.00

ACCEL

+0.00

RETENTION

31.3%

PEAK 2026-09-20 · FORK-RETENTION 75.0% · 28 STARS / WINDOW

Author Audience

AUDIENCE

1,821

FOLLOWERS

311

OWNER ★

5,997

Engagement Signals

FORKS

1,333

ISSUE AUTH

PR AUTH

UNIQUE STARGAZERS 28 / 28 (DIVERSITY 1.00)

Why This Is A Finding

barbagroup/CFDPython собрал 28 звёзд за окно, тогда как у автора всего 311 подписчиков — эффективная аудитория ≈ 1,821. Это даёт surprise-индекс 0.00215 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 75.0% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

Related Findings

RANKS ABOVE 38% OF 9770 FINDINGS

#251PaulamiB-git/solutions-prototypes[ JUPYTER NOTEBOOK ]0.0765 #546philshiu/Drosophila_brain_model[ JUPYTER NOTEBOOK ]0.0357 #584higgsfield-ai/higgsfield[ JUPYTER NOTEBOOK ]0.0341 #958navaneethkrishnansuresh/Inference-Engineering[ JUPYTER NOTEBOOK ]0.0229 #1043xbsheng/atguigu-note[ JUPYTER NOTEBOOK ]0.0214

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9770 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW

METRICVALUEMEDIANΔ MEDPERCENTILE

SCORE0.000.00-0.00ABOVE 38%

VELOCITY4.003.57+0.43ABOVE 53%

RETENTION31.3%40.0%-8.7 PPABOVE 38%

FORKS1,33392+1,241ABOVE 94%

SURPRISE0.000.01-0.01ABOVE 20%