Sector/Sphere supports distributed data storage, distribution, and processing over large clusters of commodity computers. Sector is a high performance, scalable, and secure distributed file system. Sphere is a high performance parallel data processing engine that can process Sector data files with very simple programming interfaces. Sector/Sphere can be broadly compared to Google's GFS/MapReduce stack, but differes several key design choices and provides better performance.

Gearman provides a generic application framework to farm out work to other machines or processes that are better suited to do the work. It allows you to do work in parallel, to load balance processing, and to call functions between languages. It can be used in a variety of applications, from high-availability web sites to the transport of database replication events. In other words, it is the nervous system for how distributed processing communicates.

Share is an experiment in designing a networked programming tool for distributed communities of practice. It is an IDE that automatically shares all the code you write with everyone else that is using Share, as well as keeping track of how that code is used. Allowing you to see the network that grows around code you contribute, borrow, or just happen to be interested in.

In a new version of the Unix operating system, a flexible coroutine-based design replaces the traditional rigid connection between processes and terminals or networks. Processing modules may be inserted dynamically into the stream that connects a user's program to a device. Programs may also connect directly to programs, providing inter-process communication.

Spin is a popular open-source software tool, used by thousands of people worldwide, that can be used for the formal verification of distributed software systems. The tool was developed at Bell Labs in the original Unix group of the Computing Sciences Research Center, starting in 1980. The software has been available freely since 1991, and continues to evolve to keep pace with new developments in the field.

Dapper, standing for Distributed and Parallel Program Execution Runtime, is one such tool for bridging the scientist/programmer's high level specifications that capture the essence of a program, with the low level mechanisms that reflect the unsavory realities of distributed and parallel computing. Under its dataflow-oriented approach, Dapper enables users to code locally in Java and execute globally on the cloud or grid.

CoDoNS is a high-performance, failure-resilient, and scalable name service for the Internet. It serves as both an alternative and a safety-net for the legacy Domain Name System (DNS). Built on top of Beehive, it provides clients low latencies for name resolution, automatic load-balancing during flash-crowds and denial of service attacks, and quick dissemination of changes in DNS mappings. It is currently deployed across the globe on Planet-Lab. A list of live CoDoNS servers and their current performance is provided here.

Pyro is short for PYthon Remote Objects. It is an advanced and powerful Distributed Object Technology system written entirely in Python, that is designed to be very easy to use. Never worry about writing network communication code again, when using Pyro you just write your Python objects like you would normally. With only a few lines of extra code, Pyro takes care of the network communication between your objects once you split them over different machines on the network. All the gory socket programming details are taken care of, you just call a method on a remote object as if it were a local object!

Open source video uploading, encoding and storage web service that runs over Amazon's EC2/S3 web cloud

Disco is an open-source implementation of the Map-Reduce framework for distributed computing. As the original framework, Disco supports parallel computations over large data sets on unreliable cluster of computers.