zipline VS bt

Compare zipline vs bt and see what are their differences.

zipline

Zipline, a Pythonic Algorithmic Trading Library (by quantopian)

bt

bt - flexible backtesting for Python (by pmorissette)
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zipline bt
14 5
17,036 2,010
0.6% -
0.0 5.7
2 months ago 19 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.

bt

Posts with mentions or reviews of bt. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-04.

What are some alternatives?

When comparing zipline and bt you can also consider the following projects:

backtrader - Python Backtesting library for trading strategies

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

pyfolio - Portfolio and risk analytics in Python

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

pyalgotrade - Python Algorithmic Trading Library

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

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

quantstats - Portfolio analytics for quants, written in Python

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.

pybacktest - Vectorized backtesting framework in Python / pandas, designed to make your backtesting easier — compact, simple and fast