Github Trends®
6024 findingsmedian surprise 0.00474window 1 day
UNIT / TREND-MONITOR · REV 2.6
[ 1 day window ]
SOURCE: own snapshots
FINDING #5646 · 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

SURPRISE0.0000113
ENGAGEMENT0.58
FRESHNESS1.00
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
0% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
42.00
ACCEL
0.00
RETENTION
0.0%
PEAK 2026-07-14 · FORK-RETENTION 0.0% · 42 STARS / WINDOW

Author Audience

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

Engagement Signals

FORKS
7,369
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 42 / 42 (DIVERSITY 1.00)

Why This Is A Finding

microsoft/qlib собрал 42 звёзд за окно, тогда как у автора всего 125,178 подписчиков — эффективная аудитория ≈ 3,714,906. Это даёт surprise-индекс 0.0000113 (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 6024 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 6%
VELOCITY42.009.00+33.00ABOVE 90%
RETENTION0.0%0.0%0.0 PPABOVE 0%
FORKS7,369495+6,874ABOVE 94%
SURPRISE0.000.00-0.00ABOVE 2%