Github Trends®
9591 findingsmedian surprise 0.00783window 30 days
UNIT / TREND-MONITOR · REV 2.6
[ 30 days window ]
SOURCE: own snapshots
FINDING #9132 · 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

SURPRISE0.00000949
ENGAGEMENT0.42
FRESHNESS1.30
SCORE = SURPRISE × ENGAGEMENT^0.7 × FRESHNESS × VISIBILITY × CONFIDENCE
SURPRISE = WINDOW STARS / DAYS / (AUDIENCE + FLOOR)
2% OF STARS IN ARCHIVE

Growth Telemetry

VELOCITY /D
36.27
ACCEL
+0.16
RETENTION
25.2%
PEAK 2026-08-17 · FORK-RETENTION 34.9% · 1,088 STARS / WINDOW

Author Audience

AUDIENCE
3,819,936
FOLLOWERS
128,576
OWNER ★
2,754,002

Engagement Signals

FORKS
7,606
ISSUE AUTH
0
PR AUTH
0
UNIQUE STARGAZERS 1,088 / 1,088 (DIVERSITY 1.00)

Why This Is A Finding

microsoft/qlib собрал 1,088 звёзд за окно, тогда как у автора всего 128,576 подписчиков — эффективная аудитория ≈ 3,819,936. Это даёт surprise-индекс 0.00000949 (звёзды относительно охвата автора, а не в абсолюте). Удержание форков 34.9% и 0 внешних контрибьюторов отделяют реальный инструмент от разовой вспышки. Акселерация положительная — рост ещё не выдохся.

METRICS IN CONTEXT

MEDIAN ACROSS ALL 9591 FINDINGS · Δ vs MEDIAN · PERCENTILE = SHARE RANKED BELOW
METRICVALUEMEDIANΔ MEDPERCENTILE
SCORE0.000.00-0.00ABOVE 5%
VELOCITY36.273.63+32.63ABOVE 94%
RETENTION25.2%24.8%+0.4 PPABOVE 51%
FORKS7,606120+7,486ABOVE 99%
SURPRISE0.000.01-0.01ABOVE 1%