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  5. Flair vs Keen

Flair vs Keen

OverviewComparisonAlternatives

Overview

Keen
Keen
Stacks224
Followers156
Votes268
Flair
Flair
Stacks16
Followers53
Votes1

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.

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Detailed Comparison

Keen
Keen
Flair
Flair

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.

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.

You can track any kind of interaction that is happening on your website, mobile app, or backend. Keen handles every step in the life cycle of your data, from ingestion to presentation.
A powerful NLP library; Multilingual; A text embedding library; A PyTorch NLP framework
Statistics
Stacks
224
Stacks
16
Followers
156
Followers
53
Votes
268
Votes
1
Pros & Cons
Pros
  • 57
    Very powerful API
  • 43
    Easy setup
  • 31
    Great Customer Support
  • 24
    Built by developers for developers
  • 24
    Customization
Cons
  • 1
    Limited concurrent queries
Pros
  • 1
    Open Source
Integrations
Stripe
Stripe
GitHub
GitHub
Heroku
Heroku
Runscope
Runscope
Segment
Segment
Postman
Postman
StackMob
StackMob
Twilio SendGrid
Twilio SendGrid
Python
Python
PyTorch
PyTorch

What are some alternatives to Keen, Flair?

Snowplow

Snowplow

Snowplow is a real-time event data pipeline that lets you track, contextualize, validate and model your customers’ behaviour across your entire digital estate.

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.

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.

Quickmetrics

Quickmetrics

It is a service for collecting, analyzing and visualizing custom metrics. It can be used to track anything from signups to server response times. Sending events is super simple.

Speechly

Speechly

It can be used to complement any regular touch user interface with a real time voice user interface. It offers real time feedback for faster and more intuitive experience that enables end user to recover from possible errors quickly and with no interruptions.

Ahoy

Ahoy

Ahoy provides a solid foundation to track visits and events in Ruby, JavaScript, and native apps.

MonkeyLearn

MonkeyLearn

Turn emails, tweets, surveys or any text into actionable data. Automate business workflows and saveExtract and classify information from text. Integrate with your App within minutes. Get started for free.

Jina

Jina

It is geared towards building search systems for any kind of data, including text, images, audio, video and many more. With the modular design & multi-layer abstraction, you can leverage the efficient patterns to build the system by parts, or chaining them into a Flow for an end-to-end experience.

digna

digna

Is the game-changing European modern data quality platform that effortlessly uncovers anomalies and errors in your data with Artificial Intelligence.

Bitdeli

Bitdeli

Build dashboards and reports with exactly the metrics you need using plain Python scripts. There is nothing new to learn. Bitdeli keeps your results up to date, no matter how much data you have or how complex your metrics are. Get started in minutes with our growing library of open-source analytics, created by experienced data hackers.

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