Sinabs supports fast training of spiking neural networks with PyTorch and inference on neuromorphic hardware.
Open source
24 alternativesRockpool
Rockpool supports training spiking neural networks with PyTorch and JAX and deploying them to neuromorphic hardware.
About Rockpool
Rockpool is a Python package for developing signal processing applications with spiking neural networks. It lets users build networks and simulate, train and test them, then deploy either in simulation or on event-driven neuromorphic hardware. It is designed for machine learning with SNNs, not detailed biological simulation.
Pricing is not clearly stated.
Key features
- Layers with Brian2, Torch, JAX, Numba and raw numpy backends
- Training through Torch and JAX pipelines
- Install with pip, with an all-extras option for Brian, PyTorch and JAX layers
- Documentation with tutorials and getting-started guides, much available as Jupyter notebooks
Best for: Developing signal processing applications with spiking neural networks
Rockpool at a glance
- Website
- github.com/synsense/rockpool
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Details verified
- Oct 22, 2026 · Official source
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Rockpool FAQ
What license does Rockpool use?
Rockpool is released under an AGPL license, with commercial licenses available on request.
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