Nengo is a neural simulation library for building large-scale brain models and cognitive architectures. It allows users to create and analyze neural networks, making it ideal for neuroscience, machine learning, and brain-computer interface projects.

Features of Nengo:

• Flexible and efficient simulation of spiking neural networks.
• Supports both large-scale brain models and machine learning algorithms.
• Easy-to-use interface for designing, training, and testing neural models.
• Cross-platform support and extensive community contributions.

To check the installed Nengo version, run: python -c "import nengo; print(nengo.__version__)"

Disclaimer: Nengo is an open-source project maintained by the community and contributors. It is production-ready and ideal for researchers and developers working on neural networks, brain simulations, and cognitive applications.