Github Trends®
9000 findingsmedian surprise 0.00483window 3 days
UNIT / TREND-MONITOR · REV 2.6
[ 3 days window ]
SOURCE: own snapshots
FINDING #3483 · UNIT ID 1335721568
Tavotto/Tavotto
Make AI-generated scientific figures editable without losing the code behind them.
[ PYTHON ][ ORG ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.20
ENGAGEMENT1.31
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
21% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S1b · REPO PREDATES ITS OWNER ACCOUNT (TRANSFERRED / RE-CREATED)
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS
S11 · ONE ACCOUNT GENERATES MOST OF THE "COMMUNITY" ACTIVITY

Growth Telemetry

VELOCITY /D
22.67
ACCEL
+34.00
RETENTION
0.0%
PEAK 2026-09-21 · FORK-RETENTION 0.0% · 68 STARS / WINDOW

Author Audience

AUDIENCE
71
FOLLOWERS
3
OWNER ★
325

Engagement Signals

FORKS
15
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 68 / 68 (DIVERSITY 1.00)

Why This Is A Finding

Tavotto/Tavotto собрал 68 звёзд за окно, тогда как у автора всего 3 подписчиков — эффективная аудитория ≈ 71. Это даёт surprise-индекс 0.20 (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 9000 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00+0.00ABOVE 61%
VELOCITY22.675.67+17.00ABOVE 87%
RETENTION0.0%40.0%-40.0 PPABOVE 0%
FORKS15329-314ABOVE 9%
SURPRISE0.200.00+0.20ABOVE 97%