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pyfolio is a Python library for performance and risk analysis of financial portfolios developed by Quantopian Inc. It works well with the Zipline open source backtesting library.

At the core of pyfolio is a so-called tear sheet that consists of various individual plots that provide a comprehensive image of the performance of a trading algorithm. Here's an example of a simple tear sheet analyzing a strategy:

simple tear 0 simple tear 1

Also see slides of a talk about pyfolio.


To install pyfolio, run:

pip install pyfolio


For development, you may want to use a virtual environment to avoid dependency conflicts between pyfolio and other Python projects you have. To get set up with a virtual env, run:

mkvirtualenv pyfolio

Next, clone this git repository and run python develop and edit the library files directly.

Bayesian tear sheet

Generating a Bayesian tearsheet requires PyMC3 and Theano. You can install these packages with the following commands:

pip install theano
pip install pymc3

Matplotlib on OSX

If you are on OSX and using a non-framework build of Python, you may need to set your backend:

echo "backend: TkAgg" > ~/.matplotlib/matplotlibrc


A good way to get started is to run the pyfolio examples in a Jupyter notebook. To do this, you first want to start a Jupyter notebook server:

jupyter notebook

From the notebook list page, navigate to the pyfolio examples directory and open a notebook. Execute the code in a notebook cell by clicking on it and hitting Shift+Enter.


If you find a bug, feel free to open an issue in this repository.

You can also join our mailing list or our Gitter channel.


If you'd like to contribute, a great place to look is the issues marked with help-wanted.

For a list of core developers and outside collaborators, see the GitHub contributors list.