Software for computational neuroscience Upstream packages The following tools are among the software currently tested in NeuroFedora and can be installed directly from upstream forges (e.g. PyPi): Python packages Search: SoftwareSummarypip (PyPi)Notes bluepyopt Blue Brain Python Optimisation Library (bluepyopt). bluepyopt lfpy A module for modeling extracellular potentials of multicompartment neuron models built on NEURON. lfpy libneuroml A Python library for working with NeuroML descriptions of neuronal models. libneuroml nest-neat nest-neat Does not currently install on Python 3.13. https://github.com/nest/NEAT/issues/183 netpyne A Python package to develop, simulate and analyse biological neuronal networks in NEURON. netpyne neurom NeuroM: a light-weight neuron morphology analysis package. neurom NEURON Empirically-based simulator for modeling neurons and networks of neurons. NEURON neurotune A Python library for optimising neuronal models. neurotune pylems A Python library for working with the Low Entropy Model Specification language (LEMS). pylems pyneuroml Python utilities for NeuroML. pyneuroml pynn A Python package for simulator-independent specification of neuronal network models. pynn sciunit A test-driven framework for formally validating scientific models against data. sciunit Showing 1 to 12 of 12 entries System packages The following general purpose utilties are included in the repositories: Search: SoftwareInstall withNotes nest sudo dnf install nest python3-nest The NEST simulator Showing 1 to 1 of 1 entries Want to help? Learn how to contribute to Fedora Docs ›