Get Started with Mars

Parallel and distributed version of NumPy for large-scale data computation.

Getting Started

The Mars team maintains comprehensive docs that cover installation, configuration, and common patterns.

Mars offers a free tier — sign up to get started without any payment.

Our full tool profile covers Mars's strengths, weaknesses, pricing, and how it compares to alternatives.

Teams working with large datasets that require parallel and distributed computation to speed up processing times.

Developers who need a scalable framework for handling big data analytics without the overhead of cloud services.

Research groups requiring efficient memory management and scalability in their computational tasks.