explosion/spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
From the publisher
README & documentation
Source previewRead the project’s overview, installation instructions and usage examples. The original README is the source of truth.
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. [](https://github.com/explosion/spaCy/actions/workflows/tests.yml) [](https://github.com/explosion/spaCy/releases) [](https://pypi.org/project/spacy/) [](https://anaconda.org/conda-forge/spacy) [](https://github.com/explosion/wheelwright/releases) [](https://github.com/ambv/black) [](https://pypi.org/project/spacy/) [](https://anaconda.org/conda-forge/spacy) The spaCy project is maintained by the spaCy team. Please understand that we won't be able to provide individual support via email. We also believe that help is much more valuable if it's shared publicly,…
Read the full README ↗ · Preview checked 2026-10-31T21:56:29.384Z
Inside the original README — Document outline
- spaCy: Industrial-strength NLP
- 📖 Documentation
- 💬 Where to ask questions
- Features
- ⏳ Install spaCy
- pip
- conda
- Updating spaCy
- 📦 Download model packages
- Loading and using models
- ⚒ Compile from source
- 🚦 Run tests
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Links from the README
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Documentation belongs to its respective authors. Reported project/model license: MIT. A listing is not a grant of reuse or training rights. Confirm the document’s own terms at the source.
What this repository does
💫 Industrial-strength Natural Language Processing (NLP) in Python
Repository facts
- Owner
- explosion
- Primary language
- Python
- Stars
- 34,005
- Forks
- 4,739
- Open issues + pull requests
- 261
- License
- MIT
- Archived
- No
- Default branch
- master
- Created
- 2014-07-03T15:15:40.000Z
- Last push
- 2026-10-27T12:27:21.000Z
Topics and intended use
Owner-supplied topics: ai, artificial-intelligence, cython, data-science, deep-learning, entity-linking, machine-learning, named-entity-recognition, natural-language-processing, neural-network, neural-networks, nlp, nlp-library, python, spacy, text-classification, tokenization
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Source and freshness
Source: GitHub. Metadata observed 2026-10-31T13:20:02.570Z. Daily imports are snapshots, not real-time monitoring.
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