spaCy

💫 Industrial-strength Natural Language Processing (NLP) in Python

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explosion

explosion • individual

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33,410

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4,666

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0/100

34 commits in 30d

Created

Jul 3, 2014

Project creation date

README Summary

spaCy is an industrial-strength natural language processing library for Python designed for production use. It provides fast and accurate linguistic annotations including tokenization, part-of-speech tagging, named entity recognition, and dependency parsing. The library is built for real-world applications and offers pre-trained models for multiple languages.

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Tags

Natural Language ProcessingNamed Entity RecognitionPart-of-Speech TaggingDependency ParsingText ClassificationWord VectorsTokenizationLemmatizationSyntactic AnalysisNeural Network TrainingPipeline ArchitectureStatistical Language ModelingOn-device AIEducationSmall Language ModelsHealthcareGovernmentCustomer ServiceText PreprocessingChatbot DevelopmentLegal TechDocument ProcessingKnowledge Graph ConstructionInformation ExtractionSelf-hostedContent AnalysisTextOn-premiseEfficient NLPProduction MLLanguage DetectionSentiment AnalysisMedia & PublishingFinTechEdge/MobileCloud APIPython

Recent Activity

Updated 23 days ago

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Quality

production

Quality: high
Maturity: production

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Developer Platform

Languages

Python100.0%

Timeline

Project created: Jul 3, 2014
Forked: Mar 22, 2026
Your last push: 23 days ago
Upstream last push: 16 days ago
Tracked since: Mar 21, 2026

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