This is the Windows app named Mars Framework whose latest release can be downloaded as v0.10.0sourcecode.tar.gz. It can be run online in the free hosting provider OnWorks for workstations.
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Mars Framework
DESCRIPTION
Mars is a distributed computing framework designed to scale scientific computing and data science workloads across large clusters while preserving the familiar programming interfaces of common Python libraries. The project provides a tensor-based execution model that extends the capabilities of tools such as NumPy, pandas, and scikit-learn so that large datasets can be processed in parallel without rewriting code for distributed environments. Its architecture automatically divides large computational tasks into smaller chunks that can be executed across multiple nodes in a cluster, allowing complex analytics, machine learning workflows, and data transformations to run efficiently at scale. Mars is particularly useful for workloads that exceed the memory capacity of a single machine or require high levels of parallel processing.
Features
- Distributed tensor and dataframe computation engine
- Compatibility with NumPy, pandas, and scikit-learn APIs
- Automatic task scheduling and parallel execution across clusters
- Support for large datasets exceeding single-machine memory
- Integration with Python machine learning workflows
- Chunk-based computation for scalable analytics
Programming Language
Python
Categories
This is an application that can also be fetched from https://sourceforge.net/projects/mars-framework.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.
