What is XGBoost?
Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Flink and DataFlow
XGBoost is a tool in the Python Build Tools category of a tech stack.
XGBoost is an open source tool with 23.5K GitHub stars and 8.5K GitHub forks. Here’s a link to XGBoost's open source repository on GitHub
Who uses XGBoost?
23 companies reportedly use XGBoost in their tech stacks, including Delivery Hero, BlaBlaCar, and RatePAY GmbH.
53 developers on StackShare have stated that they use XGBoost.
Python, Java, C++, Scala, and Julia are some of the popular tools that integrate with XGBoost. Here's a list of all 12 tools that integrate with XGBoost.
- Multiple Languages
XGBoost Alternatives & Comparisons
What are some alternatives to XGBoost?
See all alternatives
scikit-learn is a Python module for machine learning built on top of SciPy and distributed under the 3-Clause BSD license.
TensorFlow is an open source software library for numerical computation using data flow graphs. Nodes in the graph represent mathematical operations, while the graph edges represent the multidimensional data arrays (tensors) communicated between them. The flexible architecture allows you to deploy computation to one or more CPUs or GPUs in a desktop, server, or mobile device with a single API.
PyTorch is not a Python binding into a monolothic C++ framework. It is built to be deeply integrated into Python. You can use it naturally like you would use numpy / scipy / scikit-learn etc.
Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano. https://keras.io/
A parallel computing platform and application programming interface model,it enables developers to speed up compute-intensive applications by harnessing the power of GPUs for the parallelizable part of the computation.