Tonic
Tonic helps download, manipulate, and load event-based or spike-based datasets for neuromorphic data workflows.
About Tonic
Tonic facilitates downloading, manipulating, and loading event-based and spike-based data for neuromorphic workflows. It provides datasets such as NMNIST and transforms for denoising, framing, and batching event data.
It installs via pip or conda-forge and is tested on Linux, macOS ARM64, and Windows with Python 3.10 to 3.12. The repository notes it is looking for a new maintainer.
Key features
- Download event-based datasets such as NMNIST to local folder
- Apply transforms including Denoise and ToFrame conversions
- Combine transforms with Compose for processing pipelines
- Batch variable-length event data with PadTensors collation
- Install via pip, conda-forge, or pre-release from develop branch
- Runs on Linux, macOS ARM64, and Windows with Python 3.10-3.12
Best for: Developers and researchers working with event-based or spike-based neuromorphic datasets in Python.
Good for
- Open source under GPL-3.0 license
- Offers pip and conda-forge install options with quickstart example
- Tested across Linux, macOS ARM64, and Windows on Python 3.10 to 3.12
Watch out for
- Project states it is looking for a new maintainer
Tonic at a glance
- Website
- github.com/neuromorphs/tonic
- Category
- Development › Developer Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Platforms
- Linux, macOS, Windows
- Open source
- Yes · Source code
- Language
- English
- Good for
- Developers
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Tonic FAQ
How do users install Tonic?
Run pip install tonic or conda install -c conda-forge tonic. A pre-release from the develop branch can be installed with pip install tonic --pre.
Which platforms and Python versions are tested?
Linux, macOS ARM64, and Windows with Python 3.10, 3.11, and 3.12.
Where can users ask questions or request features?
On the #tonic Discord channel or via the Discussions page on GitHub.
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