Ray
Distributed computing framework for ML
⭐ 4.5/5 (2000 reviews)
About Ray
Ray is an open-source framework for scaling AI and Python applications. It provides libraries for distributed training, hyperparameter tuning, reinforcement learning, and model serving.
Key Features
- Distributed training
- Hyperparameter tuning
- Model serving
- Reinforcement learning
- Data processing
- Workflows
✅ Pros
- Excellent for scaling
- Flexible framework
- Active development
- Production-ready
❌ Cons
- Learning curve
- Complex debugging
- Resource-intensive
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