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Crab

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10 reviews
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Average star rating
4.6
Serving customers since
2012

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Crab Reviews

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Shilpa M.
Product Manager at TechDynasty
06/16/2018
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Review source: G2 invite
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Create customised recommendation engines using Crab

|Crab
This library has state of art recommendation engine algorithms which are well optimised and ready to use at production level. Along with this I really like the ease with which I can work with this library as it supports well known python libraries like numpy and matplotlib.
MS
Mohit S.
Software Engineer at Infosys
06/03/2018
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Building Recommender Systems made easy

|Crab
This library is one of its kind. It reduces all the stress of complex coding while one builds one's own customised recommender system by providing a simple and easy to use API.
TD
Tushar D.
Senior Software Engineer at InfoRock
05/05/2018
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Review source: G2 invite
Incentivized Review

Recommender Engine Framewrok

|Crab
- It easily merge with the famous python libraries like numpy, pandas, e.t.c which makes work more easier. - One can directly implement algorithms like Collaborative Filtering on the go using the Crab API. - It also provides dataset loading utilities.

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What is Crab?

Crab (https://muricoca.github.io) is a cutting-edge machine learning library designed to simplify the process of implementing complex recommendation algorithms. The platform prioritizes user-friendly interfaces and efficient data handling, making the use of collaborative filtering and recommender systems more accessible for both beginners and experienced data scientists. Crab's focus on modularity allows developers to easily customize and extend its features, facilitating innovative approaches to personalized recommendation tasks in diverse application areas from e-commerce to media streaming services.

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Year Founded
2012