dispy

dispy is a generic and comprehensive, yet easy to use framework for creating and using compute clusters to execute computations in parallel across multiple processors in a single machine (SMP), among many machines in a cluster, grid or cloud. dispy is well suited for data parallel (SIMD) paradigm where a computation (Python function or standalone program) is evaluated with different (large) datasets independently.

dispy supports public / private / hybrid cloud computing, fog / edge computing.

Features

Distributed Computing, Parallel Processing
Concurrent Programming with Asynchronous (non-blocking) Sockets and Coroutines
epoll, kqueue, devpoll, poll, I/O Completion Ports
Cloud Computing
Fog Computing / Edge Computing

Project Samples

Project Activity

See All Activity >

License

MIT License

Follow dispy

dispy Web Site

Other Useful Business Software

The All-in-One Commerce Platform for Businesses - Shopify

Shopify offers plans for anyone that wants to sell products online and build an ecommerce store, small to mid-sized businesses as well as enterprise

Shopify is a leading all-in-one commerce platform that enables businesses to start, build, and grow their online and physical stores. It offers tools to create customized websites, manage inventory, process payments, and sell across multiple channels including online, in-person, wholesale, and global markets. The platform includes integrated marketing tools, analytics, and customer engagement features to help merchants reach and retain customers. Shopify supports thousands of third-party apps and offers developer-friendly APIs for custom solutions. With world-class checkout technology, Shopify powers over 150 million high-intent shoppers worldwide. Its reliable, scalable infrastructure ensures fast performance and seamless operations at any business size.

Learn More

Rate This Project

User Ratings

5.0 out of 5 stars

★★★★★

★★★★

★★★

★★

★

ease 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5

features 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5

design 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5

support 1 of 5 2 of 5 3 of 5 4 of 5 5 of 5 5 / 5

User Reviews

Filter Reviews:

All

tyrahell Edited 2016-01-05

This project is just great, the learning curve of the library is smooth and you can easily deploy it for your needs onlocal network or cloud platform (Azure, EC2...) We are using this library for civil engineering computation and it performs well on cloud cluster, thanks to the scheduler and the shared job model. The MIT licence is great and Giridhar is of a great help for support and deployment problem. We got great expectations for this project in 2016, keep up the good work !
badboytherock Posted 2014-10-22

Awesome project man
krysten Posted 2012-06-05

Thanks, the good project

Additional Project Details

Intended Audience

Developers, Engineering, Science/Research

Programming Language

Python

Related Categories

Python Clustering Software, Python Distributed Computing Software

Registered

2011-04-27

Similar Business Software

Google Compute Engine

Compute Engine is Google's infrastructure as a service (IaaS) platform for organizations to create and run cloud-based virtual machines. Computing infrastructure in predefined or custom machine sizes to accelerate your cloud transformation. General purpose (E2, N1, N2, N2D) machines provide a...

See Software
xCAT

xCAT (Extreme Cloud Administration Toolkit) is an open source tool designed to automate the deployment, scaling, and management of bare metal servers and virtual machines. It offers comprehensive management capabilities for high-performance computing clusters, render farms, grids, web farms,...

See Software
AWS ParallelCluster

AWS ParallelCluster is an open-source cluster management tool that simplifies the deployment and management of High-Performance Computing (HPC) clusters on AWS. It automates the setup of required resources, including compute nodes, a shared filesystem, and a job scheduler, supporting multiple...

See Software
AWS HPC

AWS High Performance Computing (HPC) services empower users to execute large-scale simulations and deep learning workloads in the cloud, providing virtually unlimited compute capacity, high-performance file systems, and high-throughput networking. This suite of services accelerates innovation by...

See Software
Nextflow

Data-driven computational pipelines. Nextflow enables scalable and reproducible scientific workflows using software containers. It allows the adaptation of pipelines written in the most common scripting languages. Its fluent DSL simplifies the implementation and deployment of complex parallel...

See Software
Dragonfly

Dragonfly is a drop-in Redis replacement that cuts costs and boosts performance. Designed to fully utilize the power of modern cloud hardware and deliver on the data demands of modern applications, Dragonfly frees developers from the limits of traditional in-memory data stores. The power of...

See Software