Github Trends®
9558 findingsmedian surprise 0.00429window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #4777 · UNIT ID 678526156
marimo-team/marimo
A reactive notebook for Python — run reproducible experiments, query with SQL, execute as a script, deploy as an app, and version with git. Stored as pure Python. All in a modern, AI-native editor.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00197
ENGAGEMENT0.45
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
0% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
12.67
ACCEL
+3.00
RETENTION
0.0%
PEAK 2026-08-28 · FORK-RETENTION 0.0% · 38 STARS / WINDOW

Author Audience

AUDIENCE
6,380
FOLLOWERS
642
OWNER ★
25,499

Engagement Signals

FORKS
1,244
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 38 / 38 (DIVERSITY 1.00)

Why This Is A Finding

marimo-team/marimo собрал 38 звёзд за окно, тогда как у автора всего 642 подписчиков — эффективная аудитория ≈ 6,380. Это даёт surprise-индекс 0.00197 (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.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9558 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 50%
VELOCITY12.675.67+7.00ABOVE 76%
RETENTION0.0%42.9%-42.9 PPABOVE 0%
FORKS1,244333+911ABOVE 75%
SURPRISE0.000.00-0.00ABOVE 37%