Ray
Scale Python from a laptop to a cluster
ML frameworks & MLOpsDistributed computeApache-2.0Runs locallyPythonAdvanced
🐳 Docker pulls
📦 PyPI downloads / month
📦 npm downloads / month
🚀 Latest release ·
What is Ray?
Ray distributes training, tuning and serving across machines with barely any code change — and underpins a good chunk of modern LLM infrastructure.
Why people choose Ray
- Same code on a laptop and on a cluster
- Ray Tune and Ray Serve cover tuning and serving
- Used inside major LLM training stacks
Ray at a glance
| Category | ML frameworks & MLOps |
| Type | Distributed compute |
| License | Apache-2.0 |
| Runs locally | Yes |
| Built with | Python |
| Skill level | Advanced |
| Best for | workloads that no longer fit on one machine |
Latest releases
Open-source alternatives to Ray
Other open-source ml frameworks & mlops tools worth comparing:
DagsterOrchestration that thinks in data assets, not tasks
TensorFlowGoogle's deep-learning framework, built for production
PyTorchThe framework nearly every modern AI model is written in
OpenCVThe computer vision library everything else builds on
scikit-learnClassical machine learning, done properly
Apache AirflowSchedule and monitor data pipelines
JAXNumPy with autodiff, JIT and TPUs
XGBoostStill the one to beat on tabular data
Label StudioLabel anything — text, images, audio, video
MLflowTrack experiments and ship models without the spreadsheet
ONNXMove a model between frameworks and runtimes
LightGBMGradient boosting that trains fast on big tables
CVATSerious annotation for computer vision
DVCGit for datasets and models
OptunaFind the right hyperparameters without guessingRay head-to-head
Ray vs DagsterRay vs TensorFlowRay vs PyTorchRay vs OpenCVRay vs scikit-learnRay vs Apache AirflowRay vs JAXRay vs XGBoostRay vs Label StudioRay vs MLflowRay vs ONNXRay vs LightGBMRay vs CVATRay vs DVCRay vs Optuna
FAQ
Is Ray free?
Ray is free and open-source (Apache-2.0 license), so you can use, self-host and modify it at no cost.
Can I run Ray locally?
Yes. Ray is designed to run on your own machine or server, keeping your data private.
What is the best alternative to Ray?
Popular open-source alternatives include Dagster, TensorFlow, PyTorch. See the comparisons above to choose.
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