Data Tools for Neuromorphic Software
Discover essential data tools for neuromorphic software development.
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Data Tools
Explore a comprehensive collection of essential data tools designed for the development of neuromorphic software. This guide provides valuable resources for managing and transforming neuromorphic datasets, ensuring efficiency and ease of use for researchers and developers in the field of neuromorphic computing.
Tonic is a Python package for managing and transforming neuromorphic datasets.
- Website: https://tonic.readthedocs.io/
- Source Code: https://github.com/neuromorphs/tonic
- License: GPL-3.0
AEStream is a tool for transmitting event data efficiently, supporting diverse inputs/outputs and integrating with Python and C++ libraries.
- Website: https://aestream.github.io/aestream
- Source Code: https://github.com/aestream/aestream
- License: MIT
A Python package to decode AEDAT 4 files from event cameras with a Rust implementation for speed.
- Website: https://pypi.org/project/aedat/
- Source Code: https://github.com/neuromorphicsystems/aedat
- License: MIT
Expelliarmus decodes event camera data into NumPy arrays, supporting various formats and offering ease of use for researchers and developers.
- Website: https://expelliarmus.readthedocs.io/
- Source Code: https://github.com/open-neuromorphic/expelliarmus
- License: GPL-2.0
