ray-project/ray
Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.
Ray helps AI engineers and machine learning practitioners scale their complex AI and Python applications, moving them from a single machine to a cluster without rewriting code. It takes your existing Python code and distributes the computations, allowing you to process larger datasets, train more complex models, and serve many more users. This is ideal for those working with large-scale machine learning, deep learning, or general Python-based distributed computing.
41,767 stars. Used by 71 other packages. Actively maintained with 380 commits in the last 30 days. Available on PyPI.
Use this if you need to scale your Python-based AI applications to handle more data, faster training, or higher serving loads across multiple machines.
Not ideal if your applications are small, run efficiently on a single machine, or are not written in Python.
Stars
41,767
Forks
7,329
Language
Python
License
Apache-2.0
Category
Last pushed
Mar 13, 2026
Commits (30d)
380
Dependencies
8
Reverse dependents
71
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