Github Trends®
4978 findingsmedian surprise 0.00481window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #3143 · 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

SURPRISE0.00105
ENGAGEMENT0.50
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
7.00
ACCEL
-10.50
RETENTION
0.0%
PEAK 2026-10-15 · FORK-RETENTION 0.0% · 21 STARS / WINDOW

Author Audience

AUDIENCE
6,657
FOLLOWERS
684
OWNER ★
26,446

Engagement Signals

FORKS
1,344
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 21 / 21 (DIVERSITY 1.00)

Why This Is A Finding

marimo-team/marimo собрал 21 звёзд за окно, тогда как у автора всего 684 подписчиков — эффективная аудитория ≈ 6,657. Это даёт surprise-индекс 0.00105 (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.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 4978 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 37%
VELOCITY7.005.33+1.67ABOVE 58%
RETENTION0.0%0.0%0.0 PPABOVE 0%
FORKS1,344346+998ABOVE 73%
SURPRISE0.000.00-0.00ABOVE 26%