Featuretools is available for Python 3.7 and 3.8. The recommended way to install Featuretools is using pip or conda:

python -m pip install featuretools

or from the Conda-forge channel on

conda install -c conda-forge featuretools


You can install add-ons individually or all at once by running:

python -m pip install "featuretools[complete]"
Update checker:

Receive automatic notifications of new Featuretools releases:

python -m pip install "featuretools[update_checker]"
TSFresh Primitives:

Use 60+ primitives from tsfresh in Featuretools:

python -m pip install "featuretools[tsfresh]"
Categorical Encoding:

Encode categorical data for integration into Featuretools/machine learning workflows:

python -m pip install "featuretools[categorical_encoding]"
NLP Primitives:

Use Natural Language Processing Primitives for data with text in Featuretools:

python -m pip install "featuretools[nlp_primitives]"

Automated creation of normalized EntitySet from denormalized data:

python -m pip install "featuretools[autonormalize]"
Featuretools Sklearn Transformer:

Deep Feature Synthesis as a scikit-learn pipelines transformer:

python -m pip install "featuretools[sklearn_transformer]"

Installing Graphviz

In order to use EntitySet.plot or featuretools.graph_feature() you will need to install the graphviz library.

Conda users:

conda install python-graphviz


sudo apt-get install graphviz
pip install graphviz

Mac OS:

brew install graphviz
pip install graphviz


conda install python-graphviz

Install from Source

To install featuretools from source, clone the repository from github:

git clone
cd featuretools
python install

or use pip locally if you want to install all dependencies as well:

pip install .

You can view the list of all dependencies within the extras_require field of


Before making contributing to the codebase, please follow the guidelines here


We recommend developing in a virtualenv:

mkvirtualenv featuretools

Install development requirements


make installdeps



In order to the run the featuretools tests you will need to have graphviz installed as described above.

Run featuretools tests:

make test

Before committing make sure to run linting in order to pass CI:

make lint

Some linting errors can be automatically fixed by running the command below:

make lint-fix

Build Documentation

Build the docs with the commands below:

cd docs/

# small changes
make html

# rebuild from scatch
make clean html


The Featuretools library must be import-able to build the docs.