spaCy
💫 Industrial-strength Natural Language Processing (NLP) in Python
Analyze and process text in over 70 languages using advanced tools for tasks like tagging and text classification.
From the README
pip install -U pip setuptools wheel pip install spacy
- Support for 70+ languages
- Trained pipelines for different languages and tasks
- Multi-task learning with pretrained transformers like BERT
- Support for pretrained word vectors and embeddings
- State-of-the-art speed
- Production-ready training system
Excerpts from the project README on GitHub. Copyright and licensing remain with the respective authors.
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Free · no card · unsubscribe anytime💫 Industrial-strength Natural Language Processing (NLP) in Python
spaCy has 33.7k stars on GitHub. It has been forked 4.7k times. spaCy is written mainly in Python. It has been in active development since 2014. spaCy is available under the MIT license. Its main topics are ai, artificial-intelligence, cython, data-science.
What is spaCy?
💫 Industrial-strength Natural Language Processing (NLP) in Python
Is spaCy open source?
spaCy is an open-source project. It is released under the MIT license.
Is spaCy free?
Yes. spaCy is free and open source — you can use, modify and self-host it.
What license does spaCy use?
spaCy is available under the MIT license.
What language is spaCy written in?
spaCy is written mainly in Python.
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