financial-machine-learning VS qlib

Compare financial-machine-learning vs qlib and see what are their differences.

qlib

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL. (by microsoft)
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financial-machine-learning qlib
111 53
5,522 14,136
- 4.6%
9.4 7.1
4 days ago 4 days ago
Python Python
- MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

financial-machine-learning

Posts with mentions or reviews of financial-machine-learning. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-06-09.

qlib

Posts with mentions or reviews of qlib. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-28.

What are some alternatives?

When comparing financial-machine-learning and qlib you can also consider the following projects:

zvt - modular quant framework.

zipline - Zipline, a Pythonic Algorithmic Trading Library

awesome-quant - A curated list of insanely awesome libraries, packages and resources for Quants (Quantitative Finance)

quant-trading - Python quantitative trading strategies including VIX Calculator, Pattern Recognition, Commodity Trading Advisor, Monte Carlo, Options Straddle, Shooting Star, London Breakout, Heikin-Ashi, Pair Trading, RSI, Bollinger Bands, Parabolic SAR, Dual Thrust, Awesome, MACD

Finance - Study resources for quantitative finance

PyPortfolioOpt - Financial portfolio optimisation in python, including classical efficient frontier, Black-Litterman, Hierarchical Risk Parity

OpenBBTerminal - Investment Research for Everyone, Everywhere.

bulbea - :boar: :bear: Deep Learning based Python Library for Stock Market Prediction and Modelling

vectorbt - Find your trading edge, using the fastest engine for backtesting, algorithmic trading, and research.

pyEX - Python interface to IEX and IEX cloud APIs