Github Trends®
9651 findingsmedian surprise 0.00326window 7 days
UNIT / TREND-MONITOR · REV 2.6
[ 7 days window ]
SOURCE: own snapshots
FINDING #6151 · 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

SURPRISE0.000896
ENGAGEMENT0.35
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
6.00
ACCEL
-1.50
RETENTION
16.7%
PEAK 2026-10-11 · FORK-RETENTION 0.0% · 42 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 42 / 42 (DIVERSITY 1.00)

Why This Is A Finding

marimo-team/marimo собрал 42 звёзд за окно, тогда как у автора всего 684 подписчиков — эффективная аудитория ≈ 6,657. Это даёт surprise-индекс 0.000896 (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 9651 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 36%
VELOCITY6.003.14+2.86ABOVE 71%
RETENTION16.7%16.7%0.0 PPABOVE 48%
FORKS1,344277+1,067ABOVE 79%
SURPRISE0.000.00-0.00ABOVE 29%