pyfolio VS zipline

Compare pyfolio vs zipline and see what are their differences.

pyfolio

Portfolio and risk analytics in Python (by quantopian)

zipline

Zipline, a Pythonic Algorithmic Trading Library (by quantopian)
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pyfolio zipline
112 14
5,418 17,036
1.1% 0.6%
0.0 0.0
4 months ago 2 months ago
Jupyter Notebook Python
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.

pyfolio

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

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.

What are some alternatives?

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

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

backtrader - Python Backtesting library for trading strategies

Pyqiwi - Python client for QIWI payment system

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

Yahooquery - Python wrapper for an unofficial Yahoo Finance API

Tax-Calculator - USA Federal Individual Income and Payroll Tax Microsimulation Model

quantstats - Portfolio analytics for quants, written in Python

Beancount DKB - Beancount Importers for DKB (Deutsche Kredit Bank) CSV Exports

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.

munggoggo

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