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Dev tools · August 20, 2015

SpaCy – Build tomorrow's language technology products with Python

spaCy is a free open-source library for Natural Language Processing in Python. It features NER, POS tagging, dependency parsing, word vectors and more.

SpaCy – Build tomorrow's language technology products with Python launched on August 20, 2015 with 93 votes, #450 of 3,588 launches that month and more than 95% of that year's launches. The site was still online in September 2026, 11 years on.

Visit spacy.io ↗Alternativestop 13% of August 2015

In plain words

spaCy is a free open-source Python library for natural language processing that enables developers to build language technology products and extract insights from text. It provides named entity recognition, part-of-speech tagging, dependency parsing, and word vectors. Designed for large-scale information extraction tasks, spaCy is optimized for performance through memory-managed code and offers an straightforward API. The library has become an industry standard since 2015 with an extensive ecosystem of plugins and integrations.

written from the facts on this page · September 2026

From the sources

spaCy is designed to help you do real work — to build real products, or gather real insights. The library respects your time, and tries to avoid wasting it. It's easy to install, and its API is simple and productive. spaCy excels at large-scale information extraction tasks. It's written from the ground up in carefully memory-managed Cython. If your application needs to process entire web dumps, spaCy is the library you want to be using. Since its release in 2015, spaCy has become an industry standard with a huge ecosystem. Choose from a variety of plugins, integrate with your machine learning stack and build custom components and workflows. The spacy-llm package integrates Large Language…from spacy.io

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