Github Trends®
5944 findingsmedian surprise 0.0104window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #4669 · UNIT ID 1123887211
NabidAlam/road-to-machine-learning
A comprehensive, step-by-step guide to learning Machine Learning from absolute basics to advanced topics
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0106
ENGAGEMENT0.20
FRESHNESS1.32
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
84% OF STARS IN ARCHIVE
[BOT] SUSPECTED STAR BOT — SCORE PENALIZED. SIGNATURES:
S2 · NO EXTERNAL ISSUE/PR AUTHORS DESPITE 100+ STARS
S5 · PREDATES WINDOW, YET HALF+ OF ALL ITS STARS LANDED IN IT
S7 · THIS REPO IS ~ALL OF THE OWNER'S STARS

Growth Telemetry

VELOCITY /D
5.51
ACCEL
+0.08
RETENTION
5.8%
PEAK 2026-05-30 · FORK-RETENTION 0.0% · 992 STARS / WINDOW

Author Audience

AUDIENCE
478
FOLLOWERS
356
OWNER ★
1,218

Engagement Signals

FORKS
386
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 992 / 992 (DIVERSITY 1.00)

Why This Is A Finding

NabidAlam/road-to-machine-learning собрал 992 звёзд за окно, тогда как у автора всего 356 подписчиков — эффективная аудитория ≈ 478. Это даёт surprise-индекс 0.0106 (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 5944 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 21%
VELOCITY5.513.29+2.22ABOVE 68%
RETENTION5.8%11.3%-5.6 PPABOVE 26%
FORKS38699+287ABOVE 83%
SURPRISE0.010.01+0.00ABOVE 51%