Github Trends®
4998 findingsmedian surprise 0.0059window 1 day
UNIT / TREND-MONITOR · REV 2.6
[ 1 day window ]
SOURCE: own snapshots
FINDING #4837 · 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

SURPRISE0.00000416
ENGAGEMENT0.50
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
16.00
ACCEL
0.00
RETENTION
0.0%
PEAK 2026-09-12 · FORK-RETENTION 0.0% · 16 STARS / WINDOW

Author Audience

AUDIENCE
3,850,153
FOLLOWERS
129,606
OWNER ★
2,774,643

Engagement Signals

FORKS
7,672
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 16 / 16 (DIVERSITY 1.00)

Why This Is A Finding

microsoft/qlib собрал 16 звёзд за окно, тогда как у автора всего 129,606 подписчиков — эффективная аудитория ≈ 3,850,153. Это даёт surprise-индекс 0.00000416 (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 4998 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 3%
VELOCITY16.009.00+7.00ABOVE 69%
RETENTION0.0%0.0%0.0 PPABOVE 0%
FORKS7,672459+7,213ABOVE 93%
SURPRISE0.000.01-0.01ABOVE 1%