zipline VS qlib

Compare zipline vs qlib and see what are their differences.

zipline

Zipline, a Pythonic Algorithmic Trading Library (by quantopian)

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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zipline qlib
14 53
17,027 14,096
0.6% 4.4%
0.0 7.1
2 months ago 7 days ago
Python Python
Apache License 2.0 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.

zipline

Posts with mentions or reviews of zipline. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-01-26.

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 zipline and qlib you can also consider the following projects:

backtrader - Python Backtesting library for trading strategies

pyfolio - Portfolio and risk analytics in Python

backtrader - Python Backtesting library for trading strategies [Moved to: https://github.com/mementum/backtrader]

PyThalesians - Python library for backtesting trading strategies & analyzing financial markets (formerly pythalesians)

quantstats - Portfolio analytics for quants, written in Python

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

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

bcolz - A columnar data container that can be compressed.

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

Interactive Parallel Computing with IPython - IPython Parallel: Interactive Parallel Computing in Python

backtesting.py - :mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

Pandas - Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more