XGBoost vs Gym: What are the differences?

Developers describe XGBoost as "Scalable and Flexible Gradient Boosting". 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. On the other hand, Gym is detailed as "Open source interface to reinforcement learning tasks". It is a toolkit for developing and comparing reinforcement learning algorithms. It supports teaching agents everything from walking to playing games like Pong or Pinball.

XGBoost can be classified as a tool in the "Python Build Tools" category, while Gym is grouped under "Machine Learning Tools".

XGBoost is an open source tool with 19.4K GitHub stars and 7.59K GitHub forks. Here's a link to XGBoost's open source repository on GitHub.