Github Trends®
6295 findingsmedian surprise 0.0121window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: gharchive
FINDING #4769 · UNIT ID 1244263201
LangZhong36/immortal-jellyfish-algorithm
A novel bio-inspired swarm intelligence optimizer — immortal Jellyfish Algorithm (IJA)
[ PYTHON ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.0518
ENGAGEMENT0.20
FRESHNESS1.40
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
54% 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
5.40
ACCEL
+0.03
RETENTION
50.0%
PEAK 2026-07-14 · FORK-RETENTION 0.0% · 162 STARS / WINDOW

Author Audience

AUDIENCE
64
FOLLOWERS
34
OWNER ★
302

Engagement Signals

FORKS
42
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 162 / 162 (DIVERSITY 1.00)

Why This Is A Finding

LangZhong36/immortal-jellyfish-algorithm собрал 162 звёзд за окно, тогда как у автора всего 34 подписчиков — эффективная аудитория ≈ 64. Это даёт surprise-индекс 0.0518 (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 6295 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 24%
VELOCITY5.404.23+1.17ABOVE 58%
RETENTION50.0%29.4%+20.6 PPABOVE 85%
FORKS4292-50ABOVE 29%
SURPRISE0.050.01+0.04ABOVE 88%