Flair vs Keen: 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; Keen: Keen is the embedded analytics API that makes shipping custom user-facing analytics easy and seamless. Keen is a set of powerful APIs that allow you to collect, analyze, and visualize events from anything connected to the internet. Send all your data – any event, from any source, all the time, any time. Keen IO was specifically built to capture and store event data — those constant little interactions that happen all day, every day, in your apps. Event data can be anything, and Keen IO gives you the ability to grab as much of it as you want, then store it forever on our cloud database.

Flair can be classified as a tool in the "NLP / Sentiment Analysis" category, while Keen is grouped under "Custom Analytics".

Flair is an open source tool with 6.53K GitHub stars and 666 GitHub forks. Here's a link to Flair's open source repository on GitHub.