Data Analysis

This section features tools for analyzing and visualizing research data. They support efficient, reproducible, and transparent open-science workflows.

BrainLife

BrainLife is a platform for analyzing, visualizing, and sharing neuroimaging data. It enables researchers to run reproducible workflows, collaborate easily, and integrate their data into open-science practices.

Python

Python is a versatile programming language widely used for data analysis, visualization, and machine learning. Researchers can use it to process data, build reproducible workflows, and implement open-science practices across disciplines.

Pynapple

Pynapple is a Python library for analyzing neurophysiological data. It provides tools to process, visualize, and interpret neural recordings, supporting reproducible and transparent research workflows.

R

R is a programming language and software environment for statistical computing and data visualization. It enables researchers to analyze complex datasets, create reproducible workflows, and generate high-quality graphics for open-science research.

JASP

JASP is a free, open-source statistical software that makes data analysis accessible and user-friendly. It offers a wide range of statistical tests and visualizations, supporting transparent and reproducible research.

Jamovi

Jamovi is a free, open-source statistical software designed to be easy to use. It provides a variety of statistical analyses and visualizations, helping researchers conduct transparent and reproducible research.

Brainstorm

Brainstorm is an open-source software platform for analyzing MEG and EEG data. It enables researchers to process, visualize, and share neuroimaging data in a reproducible and transparent way.