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The information in our interactive Radar is currently only available in English. To get information in your native language, please download the PDF here.

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spaCy

NOT ON THE CURRENT EDITION
This blip is not on the current edition of the radar. If it was on one of the last few editions it is likely that it is still relevant. If the blip is older it might no longer be relevant and our assessment might be different today. Unfortunately, we simply don't have the bandwidth to continuously review blips from previous editions of the radarUnderstand more
Nov 2017
assess?

spaCy is a Natural Language Processing (NLP) library written in Python. It is a high-performance library, intended for use by developers in production, and applies NLP models suited for processing text that often mixes in emoticons and inconsistent punctuation marks. Unlike other NLP frameworks, spaCy is a pluggable library and not a platform; it is aimed at production applications rather than model training for research. It plays well with TensorFlow and the rest of the Python AI ecosystem. We've used spaCy in the enterprise context to build a search engine that takes human language queries and helps users make business decisions.

Mar 2017
assess?

spaCy is a Natural Language Processing (NLP) library written in Python. It is a high-performance library, intended for use by developers in production, and applies NLP models suited for processing text that often mixes in emoticons and inconsistent punctuation marks. Unlike other NLP frameworks, spaCy is a pluggable library and not a platform; it is aimed at production applications rather than model training for research. It plays well with TensorFlow and the rest of the Python AI ecosystem. We've used spaCy in the enterprise context to build a search engine that takes human language queries and helps users make business decisions.