data pipelinesQuick Start ↓
Get Started with Mars
Parallel and distributed version of NumPy for large-scale data computation.
Getting Started
1
Read the official documentation
The Mars team maintains comprehensive docs that cover installation, configuration, and common patterns.
Open Mars Docs↗2
Create an account
Visit the Mars website to create your account and explore pricing options.
Visit Mars↗3
Review strengths, tradeoffs, and alternatives
Our full tool profile covers Mars's strengths, weaknesses, pricing, and how it compares to alternatives.
View full profile→Best For
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.