mars
Mars is a tensor-based framework designed for large-scale data computation, compatible with libraries like numpy, pandas, and scikit-learn. It supports both local and cluster deployments, optimizing multiple core usage for efficient data processing. The framework offers familiar interfaces and integrates with TensorFlow, PyTorch, and Ray. Mars includes features like eager mode to simplify development and debugging. Suitable for single-machine or cluster environments, it provides both flexibility and speed. Users can access comprehensive documentation and join the community for further engagement.
