qlib VS pyEX

Compare qlib vs pyEX 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)
quantitative-finance Machine Learning stock-data Platform Finance algorithmic-trading Python Investment Quant quantitative-trading quant-dataset quant-models auto-quant Fintech research-paper Paper Research Deep Learning
Source Code
qlib.readthedocs.io
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pyEX

Python interface to IEX and IEX cloud APIs (by timkpaine)
Python Python3 Finance algorithmic-trading iex stock-market Stocks stock-data financial-analysis
Source Code
pyex.readthedocs.io
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qlib pyEX
53 1
14,161 403
1.0% -
6.6 4.5
7 days ago 3 months ago
Python Python
MIT License Apache License 2.0
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.

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.

pyEX

Posts with mentions or reviews of pyEX. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing qlib and pyEX you can also consider the following projects:

zipline - Zipline, a Pythonic Algorithmic Trading Library

Quantel - Official Python wrapper for the Quantel Finance API

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

IEX-API - The IEX API provides any individual or academic, public or private institution looking to develop applications that require stock market data to access near real-time quote and trade data for all stocks trading on IEX.

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

dcf-basic - Basic DCF model to quickly value public companies.

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

yf - yf is a CLI tool that allows for quick and easy access to Yahoo! Finance market data.

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

relative-strength - IBD Style Relative Strength Percentile Ranking of Stocks (i.e. 0-100 Score).

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.

DiscordStocks - Discord bot for asking down various informations about stocks.

qlib vs zipline pyEX vs Quantel qlib vs awesome-quant pyEX vs IEX-API qlib vs quant-trading pyEX vs dcf-basic qlib vs PyPortfolioOpt pyEX vs yf qlib vs bulbea pyEX vs relative-strength qlib vs dwx-zeromq-connector pyEX vs DiscordStocks