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SpaCy

Industrial-Strength Natural Language Processing in Python
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What is SpaCy?

It is a library for advanced Natural Language Processing in Python and Cython. It's built on the very latest research, and was designed from day one to be used in real products. It comes with pre-trained statistical models and word vectors, and currently supports tokenization for 49+ languages.
SpaCy is a tool in the NLP / Sentiment Analysis category of a tech stack.

Who uses SpaCy?

Companies
17 companies reportedly use SpaCy in their tech stacks, including general, Compile Inc, and DLabs.

Developers
30 developers on StackShare have stated that they use SpaCy.

Why developers like SpaCy?

Here’s a list of reasons why companies and developers use SpaCy
Top Reasons

SpaCy Alternatives & Comparisons

What are some alternatives to SpaCy?
NLTK
It is a suite of libraries and programs for symbolic and statistical natural language processing for English written in the Python programming language.
Gensim
It is a Python library for topic modelling, document indexing and similarity retrieval with large corpora. Target audience is the natural language processing (NLP) and information retrieval (IR) community.
Amazon Comprehend
Amazon Comprehend is a natural language processing (NLP) service that uses machine learning to discover insights from text. Amazon Comprehend provides Keyphrase Extraction, Sentiment Analysis, Entity Recognition, Topic Modeling, and Language Detection APIs so you can easily integrate natural language processing into your applications.
TensorFlow
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
rasa NLU
rasa NLU (Natural Language Understanding) is a tool for intent classification and entity extraction. You can think of rasa NLU as a set of high level APIs for building your own language parser using existing NLP and ML libraries.
See all alternatives

SpaCy's Followers
31 developers follow SpaCy to keep up with related blogs and decisions.
Tejas Chandra
David Wolff
KarimTahan
Jan Mizgajski
Eric McLachlan
Raghavendra Dasila
Claudio Manriquez
Eunsung Kim
Claudio Luiz Silva
dawei wang