Contents

spacy 3.8.2

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Industrial-strength Natural Language Processing (NLP) in Python

Industrial-strength Natural Language Processing (NLP) in Python

Stars: 29828, Watchers: 29828, Forks: 4376, Open Issues: 147

The explosion/spaCy repo was created 10 years ago and the last code push was Yesterday.
The project is extremely popular with a mindblowing 29828 github stars!

How to Install spacy

You can install spacy using pip

pip install spacy

or add it to a project with poetry

poetry add spacy

Package Details

Author
Explosion
License
MIT
Homepage
https://spacy.io
PyPi:
https://pypi.org/project/spacy/
GitHub Repo:
https://github.com/explosion/spaCy

Classifiers

  • Scientific/Engineering
No  spacy  pypi packages just yet.

Errors

A list of common spacy errors.

Code Examples

Here are some spacy code examples and snippets.

GitHub Issues

The spacy package has 147 open issues on GitHub

  • Update typing hints
  • Non-deterministic evaluation when using the experimental edit_tree_lemmatizer
  • Fix special tokenization cases not applied when adjacent to an infix #10086
  • Contractions incorrectly tokenized when part of an infix substring
  • Please add the Per-class Metrics for en_core_web_trf on NER-Task
  • Add spans to doc.to_json
  • Add spancat pipeline in spacy debug data
  • TypeError: can not serialize 'cupy._core.core.ndarray' object
  • Some sentences don't have ROOT among token dependency relation markers while there is still a root in the sentence
  • Different NER results on Linux/Mac and Windows with it-core-news-lg-3.2.0
  • Iceland lang code fix
  • Add visualisations for parsed documents
  • Textcat loss is scaled by batch size (and number of classes)
  • setting an extensions attribute in one span changes it in the other
  • DependencyMatcher fails on sents when tokens have extension attributes set to ents

See more issues on GitHub

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