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Installation

Note conda build coming soon! The typical Python data stack is required (example using the conda package manager).

conda install numpy scipy pandas seaborn scikit-learn jupyter notebook ipywidgets sphinx

Currently there are some growing pains associated with our dependencies. Ensure that you have identical version numbers on ipywidgets and jupyter-client (eg. ipywidgets=4.1.1 and jupyter-client=4.1.1).

From inside the git repository, exa can be installed using:

pip install .

Getting Started

Documentation

Documentation is generated using sphinx

cd doc
make html
or
cd doc
.\make.bat html

and open in your favorite browser.

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Core functionality for the exa data processing, analytics, and visualization ecosystem

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  • Python 53.5%
  • JavaScript 40.1%
  • HTML 5.2%
  • CSS 1.2%