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Rockpool

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

Status
Generally available
Last checked
Checked · Oct 12, 2026
License
Open source
Pricing
Free tier · from $0
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What it is

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.

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

When it fits — and when it doesn’t

A good fit 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.

Look elsewhere if

  • 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.

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

  1. 01

    Limited language support beyond Python

    Primary development is in Python with no official support for other languages like C++ or Java

  2. 02

    Small community and limited third-party integrations

    GitHub repository has fewer than 100 stars, limited number of contributors

What it does well

  • Support for spiking neural networks

  • Integration with torch and jax pipelines

  • Deployment to neuromorphic hardware

Pricing

Free tier
YesOpen source — free to use
Paid from
$0
Model
Flat rate
Enterprise plan
No

Pricing not independently confirmed — check the vendor’s page.

Performance benchmarks

How Fast Is It?

Set up Rockpool

Setup steps, common gotchas and what to check after 30 days.

Open the setup guide →
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