zipline VS pyfolio-reloaded

Compare zipline vs pyfolio-reloaded and see what are their differences.

zipline

Zipline, a Pythonic Algorithmic Trading Library (by quantopian)
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zipline pyfolio-reloaded
14 2
17,072 280
0.4% -
0.0 2.9
3 months ago about 2 months ago
Python Jupyter Notebook
Apache License 2.0 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.

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.

pyfolio-reloaded

Posts with mentions or reviews of pyfolio-reloaded. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-07-09.

What are some alternatives?

When comparing zipline and pyfolio-reloaded you can also consider the following projects:

backtrader - Python Backtesting library for trading strategies

pyfolio - Portfolio and risk analytics in Python

zipline-reloaded - Zipline, a Pythonic Algorithmic Trading Library

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

caffeinated-pandas

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

Lean - Lean Algorithmic Trading Engine by QuantConnect (Python, C#)

quantstats - Portfolio analytics for quants, written in Python

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

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.

bcolz - A columnar data container that can be compressed.