Rockpool

Machine learning library for spiking neural networks with torch and jax support.

EstablishedOpen SourceLow lock-in

Pricing

See website

Flat rate

Adoption

Stable

License

Open Source

Data freshness

Overview

What is Rockpool?

Rockpool is a machine learning library designed for spiking neural networks, supporting both torch and jax pipelines. It facilitates deployment to neuromorphic hardware, making it ideal for researchers and developers working in the field of neuromorphic computing.

Key differentiator

Rockpool stands out as a specialized library for spiking neural networks, offering unique capabilities in training and deploying models to neuromorphic hardware.

Capability profile

Strength Radar

Support for spik…Integration with…Deployment to ne…

Honest assessment

Strengths & Weaknesses

↑ Strengths

Support for spiking neural networks

Integration with torch and jax pipelines

Deployment to neuromorphic hardware

Fit analysis

Who is it for?

✓ Best for

Teams working on neuromorphic hardware projects who need a flexible library for spiking neural networks.

Academic researchers exploring the capabilities of spiking neural network models.

✕ Not a fit for

Developers looking for general-purpose deep learning libraries without specific support for spiking neural networks.

Projects that do not require or benefit from neuromorphic hardware deployment.

Cost structure

Pricing

Free Tier

None

Starts at

See website

Model

Flat rate

Enterprise

None

Performance benchmarks

How Fast Is It?

Next step

Get Started with Rockpool

Step-by-step setup guide with code examples and common gotchas.

View Setup Guide →