Github Trends®
2987 findingsmedian surprise 0.00082window 180 days
UNIT / TREND-MONITOR · REV 2.6
[ 180 days window ]
SOURCE: gharchive
FINDING #2928 · 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

SURPRISE0.00000265
ENGAGEMENT0.78
FRESHNESS1.40
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
4% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
9.86
ACCEL
-0.12
RETENTION
10.2%
PEAK 2026-02-05 · FORK-RETENTION 74.3% · 1,774 STARS / WINDOW

Author Audience

AUDIENCE
3,714,906
FOLLOWERS
125,178
OWNER ★
2,681,527

Engagement Signals

FORKS
7,369
ISSUE AUTH
8
PR AUTH
16
UNIQUE STARGAZERS 1,771 / 1,774 (DIVERSITY 1.00)

Why This Is A Finding

microsoft/qlib собрал 1,774 звёзд за окно, тогда как у автора всего 125,178 подписчиков — эффективная аудитория ≈ 3,714,906. Это даёт surprise-индекс 0.00000265 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 74.3% и 24 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация отрицательная — внимание остывает после пика.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 2987 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 2%
VELOCITY9.862.84+7.01ABOVE 88%
RETENTION10.2%6.8%+3.4 PPABOVE 66%
FORKS7,3691,068+6,301ABOVE 89%
SURPRISE0.000.00-0.00ABOVE 2%