A complete record of projects that I have contributed to is available on GitHub.
Seaborn is a Python data visualization library based on matplotlib. It provides a high-level, dataset-oriented interface for drawing attractive and informative statistical graphics.
PySurfer is a Python library for surface-based visualization of neuroimaging data. It extends Mayavi’s powerful rendering engine with an interface for working with MRI and MEG data.
Lyman is a framework for reproducible neuroimaging data analysis. It offers an opinionated set of processing pipelines and a library of classes and functions for signal processing, model fitting, and other tasks.
Nipype provides a uniform Python API for diverse neuroimaging software packages, a workflow specification system for creating reproducible analysis pipelines, and a flexible execution engine for distributed computation using HPC resources.