Alternatives to Flair logo

Alternatives to Flair

Hogan.js, Keen, SpaCy, rasa NLU, and Gensim are the most popular alternatives and competitors to Flair.
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What is Flair and what are its top alternatives?

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.
Flair is a tool in the NLP / Sentiment Analysis category of a tech stack.
Flair is an open source tool with 11K GitHub stars and 1.8K GitHub forks. Here’s a link to Flair's open source repository on GitHub

Top Alternatives to Flair

  • Hogan.js

    Hogan.js

    Hogan.js is a 3.4k JS templating engine developed at Twitter. Use it as a part of your asset packager to compile templates ahead of time or include it in your browser to handle dynamic templates. ...

  • Keen

    Keen

    Keen is a powerful set of API's that allow you to stream, store, query, and visualize event-based data. Customer-facing metrics bring SaaS products to the next level with acquiring, engaging, and retaining customers. ...

  • SpaCy

    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. ...

  • rasa NLU

    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. ...

  • Gensim

    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

    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. ...

  • Transformers

    Transformers

    It provides general-purpose architectures (BERT, GPT-2, RoBERTa, XLM, DistilBert, XLNet…) for Natural Language Understanding (NLU) and Natural Language Generation (NLG) with over 32+ pretrained models in 100+ languages and deep interoperability between TensorFlow 2.0 and PyTorch. ...

  • Google Cloud Natural Language API

    Google Cloud Natural Language API

    You can use it to extract information about people, places, events and much more, mentioned in text documents, news articles or blog posts. You can use it to understand sentiment about your product on social media or parse intent from customer conversations happening in a call center or a messaging app. You can analyze text uploaded in your request or integrate with your document storage on Google Cloud Storage. ...

Flair alternatives & related posts

Hogan.js logo

Hogan.js

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A compiler for the Mustache templating language
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PROS OF HOGAN.JS
  • 3
    Lightweight
CONS OF HOGAN.JS
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    Keen logo

    Keen

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    Keen is the platform that gives you powerful in-product analytics fast with minimal development time.
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    PROS OF KEEN
    • 57
      Very powerful API
    • 43
      Easy setup
    • 31
      Great Customer Support
    • 24
      Built by developers for developers
    • 24
      Customization
    • 19
      Dashboards
    • 18
      Developer Friendly
    • 12
      It's awesome
    • 11
      Developer logging
    • 10
      Heroku Add-on
    • 6
      Github Integration
    • 5
      Saved queries
    • 4
      Segment Integration
    • 2
      Data Collection from any source
    • 1
      Very easy to get started. Loads of potential!
    • 1
      Good API
    CONS OF KEEN
    • 1
      Limited concurrent queries

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    SpaCy logo

    SpaCy

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    Industrial-Strength Natural Language Processing in Python
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    PROS OF SPACY
    • 10
      Speed
    • 1
      No vendor lock-in
    CONS OF SPACY
    • 1
      Requires creating a training set and managing training

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    rasa NLU logo

    rasa NLU

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    Conversational AI platform, for personalized conversations at scale
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    PROS OF RASA NLU
    • 8
      Open Source
    • 6
      Self Hosted
    • 5
      Docker Image
    • 3
      Comes with rasa_core
    • 1
      Enterprise Ready
    CONS OF RASA NLU
    • 3
      No interface provided
    • 1
      Wdfsdf

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    Gensim logo

    Gensim

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    A python library for Topic Modelling
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    PROS OF GENSIM
      Be the first to leave a pro
      CONS OF GENSIM
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        Biswajit Pathak
        Project Manager at Sony · | 5 upvotes · 24.2K views

        Can you please advise which one to choose FastText Or Gensim, in terms of:

        1. Operability with ML Ops tools such as MLflow, Kubeflow, etc.
        2. Performance
        3. Customization of Intermediate steps
        4. FastText and Gensim both have the same underlying libraries
        5. Use cases each one tries to solve
        6. Unsupervised Vs Supervised dimensions
        7. Ease of Use.

        Please mention any other points that I may have missed here.

        See more
        Amazon Comprehend logo

        Amazon Comprehend

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        Discover insights and relationships in text
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        PROS OF AMAZON COMPREHEND
          Be the first to leave a pro
          CONS OF AMAZON COMPREHEND
          • 2
            Multi-lingual

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          Transformers logo

          Transformers

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          State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0
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          PROS OF TRANSFORMERS
            Be the first to leave a pro
            CONS OF TRANSFORMERS
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              Google Cloud Natural Language API logo

              Google Cloud Natural Language API

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              Derive insights from unstructured text using Google machine learning
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              PROS OF GOOGLE CLOUD NATURAL LANGUAGE API
                Be the first to leave a pro
                CONS OF GOOGLE CLOUD NATURAL LANGUAGE API
                • 2
                  Multi-lingual

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