Github Trends®
9595 findingsmedian surprise 0.00815window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #7427 · UNIT ID 775839592
marin-community/marin
Open-source framework for the research and development of foundation models.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0443
ENGAGEMENT0.29
FRESHNESS1.37
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
57% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S1b · REPO PREDATES ITS OWNER ACCOUNT (TRANSFERRED / RE-CREATED)
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT

Growth Telemetry

VELOCITY /D
57.60
ACCEL
+8.51
RETENTION
47.9%
PEAK 2026-08-26 · FORK-RETENTION 37.5% · 1,728 STARS / WINDOW

Author Audience

AUDIENCE
1,262
FOLLOWERS
221
OWNER ★
4,098

Engagement Signals

FORKS
246
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 1,728 / 1,728 (DIVERSITY 1.00)

Why This Is A Finding

marin-community/marin собрал 1,728 звёзд за окно, тогда как у автора всего 221 подписчиков — эффективная аудитория ≈ 1,262. Это даёт surprise-индекс 0.0443 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 37.5% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9595 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 23%
VELOCITY57.603.67+53.93ABOVE 96%
RETENTION47.9%24.6%+23.3 PPABOVE 89%
FORKS246115+131ABOVE 69%
SURPRISE0.040.01+0.04ABOVE 89%