ArviZ (pronounced "AR-vees") is a Python package for exploratory analysis of Bayesian models. Includes functions for posterior analysis, model checking, comparison and diagnostics.
The latest version can be installed from the master branch using pip:
pip install git+git://github.com/arviz-devs/arviz.git
Another option is to clone the repository and install using python setup.py install.
Arviz is tested on Python 3.6 and depends on NumPy, SciPy, Pandas and Matplotlib.
There is a Dockerfile which helps for isolating build problems and local development. Install Docker for your operating system, clone this repo, then run ./scripts/start_container.sh. This should start a local docker container called arviz, as well as a Jupyter notebook server running on port 8888. The notebook should be opened in your browser automatically (you can disable this by passing --no-browser). The container will be running the code from your local copy of arviz, so you can test your changes.