PyPortfolioOpt VS qlib

Compare PyPortfolioOpt 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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PyPortfolioOpt qlib
155 53
4,113 14,096
- 4.4%
5.7 7.1
about 1 month ago 9 days ago
Jupyter Notebook Python
MIT License 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.

PyPortfolioOpt

Posts with mentions or reviews of PyPortfolioOpt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-09-16.

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 PyPortfolioOpt and qlib you can also consider the following projects:

Riskfolio-Lib - Portfolio Optimization and Quantitative Strategic Asset Allocation in Python

zipline - Zipline, a Pythonic Algorithmic Trading Library

bt - bt - flexible backtesting for Python

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

mlfinlab - MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

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

okama - Investment portfolio and stocks analyzing tools for Python with free historical data

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

universal-portfolios - Collection of algorithms for online portfolio selection

pyEX - Python interface to IEX and IEX cloud APIs

FinancePy - A Python Finance Library that focuses on the pricing and risk-management of Financial Derivatives, including fixed-income, equity, FX and credit derivatives.

dwx-zeromq-connector - Wrapper library for algorithmic trading in Python 3, providing DMA/STP access to Darwinex liquidity via a ZeroMQ-enabled MetaTrader Bridge EA.