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spaCy: Industrial-strength NLP

spaCy is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products.

spaCy comes with pretrained pipelines and currently supports tokenization and training for 70+ languages. It features state-of-the-art speed and neural network models for tagging, parsing, named entity recognition, text classification and more, multi-task learning with pretrained transformers like BERT, as well as a production-ready training system and easy model packaging, deployment and workflow management. spaCy is commercial open-source software, released under the MIT license.

💫 Version 3.8 out now! Check out the release notes here.

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📖 Documentation

Documentation
⭐️ [spaCy 101]	New to spaCy? Here's everything you need to know!
📚 [Usage Guides]	How to use spaCy and its features.
🚀 [New in v3.0]	New features, backwards incompatibilities and migration guide.
🪐 [Project Templates]	End-to-end workflows you can clone, modify and run.
🎛 [API Reference]	The detailed reference for spaCy's API.
⏩ [GPU Processing]	Use spaCy with CUDA-compatible GPU processing.
📦 [Models]	Download trained pipelines for spaCy.
🦙 [Large Language Models]	Integrate LLMs into spaCy pipelines.
🌌 [Universe]	Plugins, extensions, demos and books from the spaCy ecosystem.
⚙️ [spaCy VS Code Extension]	Additional tooling and features for working with spaCy's config files.
👩‍🏫 [Online Course]	Learn spaCy in this free and interactive online course.
📰 [Blog]	Read about current spaCy and Prodigy development, releases, talks and more from Explosion.