Github Trends®
891 findingsmedian surprise 0.00048window 90 days
UNIT / TREND-MONITOR · REV 2.6
[ 90 days window ]
SOURCE: gharchive
FINDING #879 · UNIT ID 287463830
microsoft/qlib
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with https://github.com/microsoft/RD-Agent to automate R&D process.
[ PYTHON ][ ORG ][ VERIFIED ][ GITHUB ↗ ]
SURPRISE SCORE
0.00

Score Breakdown

SURPRISE<0.000001
ENGAGEMENT0.57
FRESHNESS1.30
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
1% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
3.43
ACCEL
-0.12
RETENTION
8.8%
PEAK 2026-05-10 · FORK-RETENTION 62.3% · 309 STARS / WINDOW

Author Audience

AUDIENCE
3,739,211
FOLLOWERS
125,952
OWNER ★
2,698,184

Engagement Signals

FORKS
7,426
ISSUE AUTH
3
PR AUTH
1
UNIQUE STARGAZERS 309 / 309 (DIVERSITY 1.00)

Why This Is A Finding

microsoft/qlib собрал 309 звёзд за окно, тогда как у автора всего 125,952 подписчиков — эффективная аудитория ≈ 3,739,211. Это даёт surprise-индекс <0.000001 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 62.3% и 4 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 891 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 1%
VELOCITY3.432.86+0.58ABOVE 61%
RETENTION8.8%7.6%+1.2 PPABOVE 56%
FORKS7,4262,034+5,392ABOVE 81%
SURPRISE0.000.00-0.00ABOVE 2%