Github Trends®
5944 findingsmedian surprise 0.0104window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #5127 · UNIT ID 982260749
0xHadyy/isl-python
Documenting my study of" An Introduction to Statistical Learning with Python " book - theory, code, exercises, notes and my progress all the way through
[ JUPYTER NOTEBOOK ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE0.00403
ENGAGEMENT0.20
FRESHNESS1.31
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
61% 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

Growth Telemetry

VELOCITY /D
1.57
ACCEL
+0.02
RETENTION
4.4%
PEAK 2026-07-01 · FORK-RETENTION 0.0% · 283 STARS / WINDOW

Author Audience

AUDIENCE
350
FOLLOWERS
294
OWNER ★
561

Engagement Signals

FORKS
40
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 283 / 283 (DIVERSITY 1.00)

Why This Is A Finding

0xHadyy/isl-python собрал 283 звёзд за окно, тогда как у автора всего 294 подписчиков — эффективная аудитория ≈ 350. Это даёт surprise-индекс 0.00403 (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 14%
VELOCITY1.573.29-1.72ABOVE 4%
RETENTION4.4%11.3%-7.0 PPABOVE 19%
FORKS4099-59ABOVE 21%
SURPRISE0.000.01-0.01ABOVE 31%