Software Alternatives & Reviews

Crab VS XGBoost

Compare Crab VS XGBoost and see what are their differences

Crab logo Crab

Crab is a Python framework for building recommender engines.

XGBoost logo XGBoost

XGBoost is an optimized distributed gradient boosting library designed to be highly efficient, flexible and portable.
  • Crab Landing page
    Landing page //
    2019-06-03
  • XGBoost Landing page
    Landing page //
    2023-07-30

Crab videos

No Crab videos yet. You could help us improve this page by suggesting one.

+ Add video

XGBoost videos

XGBoost Part 3: Mathematical Details

More videos:

  • Review - XGBoost A Scalable Tree Boosting System June 02, 2016
  • Review - Free Udemy Course - CatBoost vs XGBoost - Classification and Regression Modeling with Python

Category Popularity

0-100% (relative to Crab and XGBoost)
Data Science And Machine Learning
Data Science Tools
53 53%
47% 47
Business & Commerce
0 0%
100% 100
Data Dashboard
100 100%
0% 0

User comments

Share your experience with using Crab and XGBoost. For example, how are they different and which one is better?
Log in or Post with

Social recommendations and mentions

Based on our record, XGBoost seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Crab mentions (0)

We have not tracked any mentions of Crab yet. Tracking of Crab recommendations started around Mar 2021.

XGBoost mentions (1)

  • CS Internship Questions
    By the way, most of the time XGBoost works just as well for projects, would not recommend applying deep learning to every single problem you come across, it's something Stanford CS really likes to showcase when it's well known (1) that sometimes "smaller"/less complex models can perform just as well or have their own interpretive advantages and (2) it is well known within ML and DS communities that deep learning... Source: about 2 years ago

What are some alternatives?

When comparing Crab and XGBoost, you can also consider the following products

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

BigML - BigML's goal is to create a machine learning service extremely easy to use and seamless to integrate.

Open Text Magellan - OpenText Magellan - the power of AI in a pre-wired platform that augments decision making and accelerates your business. Learn more.

machine-learning in Python - Do you want to do machine learning using Python, but you’re having trouble getting started? In this post, you will complete your first machine learning project using Python.

Google Cloud TPU - Custom-built for machine learning workloads, Cloud TPUs accelerate training and inference at scale.

Microsoft Bing Image Search API - The Bing Image Search API adds a host of image search features to your apps including trending images. Test the image API with our online demo.