Neuromorphic Python Packages

expelliarmus

A Python package for decoding RAW and DAT files (Prophesee) to structured NumPy arrays of events.

tonic

Event datasets and transforms.

nir

Neuromorphic Intermediate Representation reference implementation

aerzip

Useful tools to compress and decompress AEDAT files in Python

lava-nc

A Software Framework for Neuromorphic Computing

norse

A library for deep learning with spiking neural networks

rockpool

A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.

aestream

Efficient streaming of sparse event data supporting files, network I/O, GPU peripherals (via Torch/Jax/Numpy) and neuromorphic protocols

spyx

Spyx: SNNs in JAX

sc-neurocore

Universal Stochastic Computing Framework for Neuromorphic Hardware — Rust SIMD engine, Python simulation, Verilog RTL, HDC/VSA, SCPN integration

holographic-reservoir

Holographic Reservoir Computing Framework (Simulation + Optional ASIC Hardware)

innuce-spikify

Convert your data into spike-based signals for efficient and biologically-inspired spiking neural network applications, enabling faster and more energy-efficient computations.

lava-dl

Deep Learning library for Lava

sanafe

Simulation of Advanced Neuromorphic Architectures for Fast Exploration

mnns

A Proof-of-Concept Memristive Nanowire Network Simulator.

spymem

An open-source package that offer fully-functional spike-based bio-inspired hippocampal memory models implemented with SNN technology in the SpiNNaker hardware in Python

lava-optimization

Neuromorphic mathematical optimization with Lava

pynmsnn

NeuroMorphic Predictive Model with Spiking Neural Networks (SNN) using Pytorch

lava-dnf

Dynamic Neural Fields with Lava

snncompare

Runs networkx graphs representing spiking neural networks of LIF-neurons on lava-nc or networkx.

imdd-task

Short-reach Optical Communication: A Real-world Task for Neuromorphic Hardware

misha

Simple and fast decoding of event cameras data to NumPy

snnalgocompare

Runs networkx graphs representing spiking neural networks of LIF-neurons on lava-nc or networkx.