nipy.org (original) (raw)

Welcome to NIPY. We are a community of practice devoted to the use of the Python programming language in the analysis of neuroimaging data. You can find us on github, as well as social media [blog] [twitter]. We welcome contributions and ask that you read about our standards of conduct. You are also invited to ask for help.

Our community includes the following projects:

Analysis Pipeline Management

• nipype - Provides a uniform interface to existing neuroimaging software.

Computational Anatomy

• dipy - Focuses on diffusion magnetic resonance imaging (dMRI) analysis.
• mindboggle - Improves the accuracy, precision, and consistency of labeling & morphometry of brain imaging data.

File I/O and Data Management

• nibabel - Read / write common neuroimaging file formats.
• Scitran SDM - Delivers efficient and robust archiving, organization, and sharing of scientific data.

Functional MRI

• Nipy - Analysis of structural and functional neuroimaging data.
• Nitime - Time-series analysis of neuroscience data.
• popeye - Population receptive field estimation

Machine Learning

• Nilearn - Fast and easy statistical learning on neuroimaging data.
• PyMVPA - Eases statistical learning analyses of large neuroimaging datasets.

Human Electrophysiology

• MNE - Processes magnetoencephalography (MEG) and electroencephalography (EEG) data.

Data Visualisation

• napari-nibabel - A plugin for the napari image viewer to view and annotate neuroimaging data
• niwidgets - Provides interactive plots for volumetric images.