kitio.aiAdded Nov 5, 2026
spaCy
FreeOpen-source Python library for production natural language processing
What is spaCy?
spaCy is a free, open-source Python library for natural language processing, used to pull entities, parts of speech and sentence structure out of large volumes of text. It ships trained pipelines for 25 languages and is built for speed in production systems.
Pipelines handle tokenization, named entity recognition, dependency parsing, text classification, lemmatization and entity linking, and you can train your own models with transformers like BERT or plug in custom PyTorch and TensorFlow components. Built-in visualizers show parses and entities.
The spacy-llm package adds large language models to spaCy pipelines, so you can prompt an LLM for tasks like extraction and get structured results back. spaCy comes from Explosion, the company behind the Prodigy annotation tool, and has a large ecosystem of plugins.
Features
- Named entity recognition
- Dependency parsing
- Pretrained pipelines for 25 languages
- Transformer-based training
- LLM integration via spacy-llm
- Syntax and NER visualizers
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Organization
Explosion
🇩🇪 Germany
Listed by kitio.ai · unverified owner
Pricing
- Pricing model
- Free
- Paid options from
- 100% free
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Pros and cons
Pros
- Fast enough for very large text volumes
- Free and open source
- Mature plugin ecosystem
Cons
- Requires Python programming skills
- Pretrained pipelines cover only 25 languages
- Custom training needs labeled data
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Q&A
What is spaCy?
spaCy is a free, open-source Python library for natural language processing, used to pull entities, parts of speech and sentence structure out of large volumes of text. It ships trained pipelines for 25 languages and is built for speed in production systems.
Can spaCy use large language models?
Yes. The spacy-llm package lets you add LLM-backed components to a pipeline and turns their responses into structured annotations.
Which machine learning frameworks does spaCy support?
spaCy has its own training system and supports pretrained transformers, and you can wrap custom models written in PyTorch, TensorFlow and other frameworks.
How much does spaCy cost?
spaCy is 100% free.
Is there a free version of spaCy?
Yes. spaCy is completely free to use.
What are the main features of spaCy?
Named entity recognition, Dependency parsing, Pretrained pipelines for 25 languages, Transformer-based training, LLM integration via spacy-llm, Syntax and NER visualizers.
Who makes spaCy?
spaCy is made by Explosion.
What are the best alternatives to spaCy?
Popular alternatives include Gensim, TextBlob, DeepPavlov.