Elephant (Electrophysiology Analysis Toolkit) is an open-source, community centered library for the analysis of electrophysiological data in the Python programming language.
The Electrophysiology Analysis Toolkit (Elephant) is a Python library that provides a modular framework for the analysis of experimental and simulated neuronal activity data, such as spike trains, local field potentials, and intracellular data. Elephant builds on the Neo data model to facilitate usability, to enable interoperability, and to support data from dozens of file formats and network simulation tools. Its analysis functions are continuously validated against reference implementations and reports in the literature. Visualizations of analysis results are made available via the Viziphant companion library. Elephant aims to act as a platform for sharing analysis methods across the field.
Helmholtz Platform for Research Software Engineering - Preparatory Study
Alpaca (Automated Lightweight Provenance Capture) captures the provenance during the execution of Python scripts that process data and stores the information using a data model based on the the W3C PROV standard.
NEST is a simulator for spiking neuronal networks. A well tested and efficient tool, NEST works on your laptop and also on the world’s largest supercomputers to study behaviour of large networks of neurons.