--- id: spacy version: "3.8.15" license: MIT license_treatment: permissive maintenance: active --- # spacy — Industrial-strength Natural Language Processing (NLP) in Python License: permissive · Maintenance: active · Popularity: top 1,000 on PyPI ## Install pip install spacy uv add spacy poetry add spacy ## Description # 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](https://spacy.io/models) 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**](https://spacy.io/usage/training) and easy model packaging, deployment and workflow management. spaCy is commercial open-source software, released under the [MIT license](https://github.com/explosion/spaCy/blob/master/LICENSE). 💫 **Version 3.8 out now!** [Check out the release notes... ## AI interpretation — verify before relying spaCy is an industrial-strength NLP library providing neural network models for tokenization, named entity recognition, dependency parsing, text classification, and multi-task learning with transformers across 70+ languages. Verdict: spaCy is a mature, actively maintained production-grade NLP framework with no known vulnerabilities, permissive licensing, and broad platform support. Medium install friction is offset by comprehensive wheels and active maintenance, making it suitable for both research and production deployments. [View on SkillFed](https://skillfed.io/packages/spacy) · [View on PyPI](https://pypi.org/project/spacy/)