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Flair

Stacks16

Followers53

+ 1

Votes1

Hogan.js

Stacks342

Followers56

+ 1

Votes3

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Flair vs Hogan.js: What are the differences?

Flair: A simple framework for natural language processing. 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; Hogan.js: A compiler for the Mustache templating language. 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.

Flair can be classified as a tool in the "NLP / Sentiment Analysis" category, while Hogan.js is grouped under "Templating Languages & Extensions".

Flair and Hogan.js are both open source tools. It seems that Flair with 6.53K GitHub stars and 666 forks on GitHub has more adoption than Hogan.js with 5K GitHub stars and 438 GitHub forks.

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Pros of Flair

Pros of Hogan.js

1
Open Source

3
Lightweight

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- No public GitHub repository available -

What is 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.

What is 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.

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Jobs that mention Flair and Hogan.js as a desired skillset

Engineering Manager, API Client

Postman

San Francisco, United States

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+12

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What companies use Flair?

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What tools integrate with Flair?

What tools integrate with Hogan.js?

Mustache

What are some alternatives to Flair and Hogan.js?

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

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.

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.

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

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.

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Flair vs Hogan.js

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Pros of Flair

Pros of Hogan.js

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What is Flair?

What is Hogan.js?

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

What companies use Flair?

What companies use Hogan.js?

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What tools integrate with Flair?

What tools integrate with Hogan.js?

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