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Explosion

company · Germany

Scores

1 product on the map — 1 open.

spaCy

Openness

5 high confidence
5.0
license
MIT(OSI)
source
public(github.com/explosion/spaCy)
core features withheld
no — Prodigy and consulting are sold as separate products

MIT, and the whole library builds from the public repository. Explosion describes spaCy as commercial open-source software and earns from Prodigy, a separately licensed annotation tool, and from consulting; neither is a withheld part of spaCy.

Adoption

5 high confidence
5.0

Measured on monthly PyPI downloads of the spacy package; the trained pipeline packages are not counted.

Capability

3 medium confidence
3.0

spaCy is to classical NLP what scikit-learn is to tabular learning: a toolkit of trained components and the system to train more. Its pretrained pipelines handle a fixed set of linguistic tasks; a new label set still means training a component.

  • https://cdn.jsdelivr.net/gh/explosion/spaCy@master/README.md recorded 2026-09-26

    README features: "Support for 70+ languages"; "Trained pipelines for different languages and tasks"; "Components for named entity recognition, part-of-speech-tagging, dependency parsing, sentence segmentation, text classification, lemmatization, morphological analysis, entity linking and more"; "Production-ready training system".