Ray
by Anyscale · open-source · Last verified 2026-03-19
Ray is an open-source framework for scaling AI and Python applications. It provides a simple, universal API for building distributed applications, enabling developers to easily parallelize and scale their workloads.
https://www.ray.io/ ↗A
A—Great
Adoption: AQuality: AFreshness: A+Citations: B+Engagement: A
Specifications
- License
- Apache 2.0
- Pricing
- open-source
- Capabilities
- task-parallelism, actor-model, distributed-training
- Integrations
- PyTorch, TensorFlow, Dask
- Use Cases
- large-scale-simulation, model-serving, data-processing
- API Available
- Yes
- Tags
- distributed-computing, parallel-processing, reinforcement-learning, python
- Added
- 2026-03-19
- Completeness
- 100%
Index Score
82.5Adoption
85
Quality
87
Freshness
90
Citations
75
Engagement
82
Put AI to work for your business
Deploy this framework alongside autonomous AaaS agents that handle tasks end-to-end — no babysitting required.