Thinc, a new deep learning library by the makers of spaCy and FastAPI

In plain words

Thinc is a deep learning library created by the team behind spaCy and FastAPI. It provides tools for building and training neural network models. The library is designed for developers and researchers who need a straightforward approach to deep learning. Thinc emphasizes functional programming patterns and works well with existing Python data science tools, making it suitable for those already familiar with the spaCy ecosystem.

written from the facts on this page · September 2026

From the sources

A refreshing functional take on deep learning, compatible with your favorite libraries. from the makers of spaCy & Prodigy 🔮 Use any framework Switch between PyTorch, TensorFlow and MXNet models without changing your application, or even create mutant hybrids using zero-copy array interchange. Develop faster and catch bugs sooner with sophisticated type checking. Trying to pass a 1-dimensional array into a model that expects two dimensions? That’s a type error. Your editor can pick it up as the code leaves your fingers. Configuration is a major pain for ML. Thinc lets you describe trees of objects with references to your own functions, so you can stop passing around blobs of settings. It's…from thinc.ai

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