Need advice about which tool to choose?Ask the StackShare community!

SpaCy

216
294
+ 1
14
Wit

12
57
+ 1
0
Add tool

SpaCy vs Wit: What are the differences?

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

What is Wit? Natural Language for the Internet of Things. Turn speech into actionable data. Wit enables developers to add a modern natural language interface to their app or device with minimal effort. Precisely, Wit turns sentences into structured information that the app can use. Developers don’t need to worry about Natural Language Processing algorithms, configuration data, performance and tuning. Wit encapsulates all this and lets you focus on the core features of your apps and devices.

SpaCy and Wit can be categorized as "NLP / Sentiment Analysis" tools.

Get Advice from developers at your company using StackShare Enterprise. Sign up for StackShare Enterprise.
Learn More
Pros of SpaCy
Pros of Wit
  • 12
    Speed
  • 2
    No vendor lock-in
    Be the first to leave a pro

    Sign up to add or upvote prosMake informed product decisions

    Cons of SpaCy
    Cons of Wit
    • 1
      Requires creating a training set and managing training
      Be the first to leave a con

      Sign up to add or upvote consMake informed product decisions

      - No public GitHub repository available -

      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.

      What is Wit?

      Wit enables developers to add a modern natural language interface to their app or device with minimal effort. Precisely, Wit turns sentences into structured information that the app can use. Developers don’t need to worry about Natural Language Processing algorithms, configuration data, performance and tuning. Wit encapsulates all this and lets you focus on the core features of your apps and devices.

      Need advice about which tool to choose?Ask the StackShare community!

      Jobs that mention SpaCy and Wit as a desired skillset
      What companies use SpaCy?
      What companies use Wit?
      See which teams inside your own company are using SpaCy or Wit.
      Sign up for StackShare EnterpriseLearn More

      Sign up to get full access to all the companiesMake informed product decisions

      What tools integrate with SpaCy?
      What tools integrate with Wit?
      What are some alternatives to SpaCy and Wit?
      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.
      Flair
      Flair allows you to apply our state-of-the-art natural language processing (NLP) models to your text, such as named entity recognition (NER), part-of-speech tagging (PoS), sense disambiguation and classification.
      See all alternatives