Open Source Python Distributed Computing Software - Page 4

Transactional and persistent queuing mechanism built in the Python language.

NetWorkSpaces, developed by Scientific Computing Associates Inc., provides a framework to coordinate programs written in Python, making it easier to write distributed applications.

The Numenta Platform for Intelligent Computing (NuPIC) is a machine intelligence platform that implements the HTM learning algorithms. HTM is a detailed computational theory of the neocortex. At the core of HTM are time-based continuous learning algorithms that store and recall spatial and temporal patterns. NuPIC is suited to a variety of problems, particularly anomaly detection and prediction of streaming data sources. For more information, see numenta.org or the NuPIC Forum. If you want to build the dependent nupic.bindings from source, you should build and install from nupic.core prior to installing nupic (since a PyPI release will be installed if nupic.bindings isn't yet installed). To install from local source code, run from the repository root. We plan to do minor releases only, and limit changes in NuPIC and NuPIC Core to features needed to support ongoing research.

This project collects the software developed as part of the OSG Scalability, Reliability and Usability Area.

The Open Distributed Framework project is aimed at developing an open-source, cross-platform framework for distributed, high-performance physical modelling and simulation.

OpenLC is a set tools designed to facilitate benchmarking and stress testing of a wide variety of information servers (WEB, Email, FTP, LDAP, ...). A XML-RPC API is offered for developers interested in creating clients that query the services provid

Open_PYOSS will be a platform to develop Operational Support Systems for the Cable MSO. It will capitalized on a Distributed NxTier Computing Agent environment and WebServices core technologies to provide seamless Managed Access for MSOs or xSPs

PBS Cluster Viz is a project to display information useful to admins and users about a computing cluster managed by a PBS-compatible resource manager. Information includes load and job distribution. Interactive as well as static output is available.

C Library to manage a pool of event/task in a persistent way to assure that your events/tasks won't be deleted because of a failure. Events/tasks are saved on a FS. if FS is NFS, NFS availability checks are made. (comes with a python binding)

A Python-Based Distributed Runtime System for Cloud Computing.

Pluster is a cluster management software developed with python. It is easy to install and maintain. Pluster Provides cluster performance monitoring and remote OS installing. It's future will be an agent-based management system.

Pools of Virtual Boxes (POVB) aims to make it easy to deploy Linux Condor pools on Windows based machines using Virtual Box virtual machines.

Poor Man's HPC is a framework that allows distributing and running code on a server farm. pmHPC is a scaled down and simplified version of distributed computing projects such as SETI, so is a perfect fit for enthusiasts and universities.

Powow is an open-source TCP packets exchange mesh. It allows many TCP clients to connect to a "Powow cloud" (several instances of Powow), to exchange data. Powow is a TCP socket server like Palabre or Oregano.

Project VDW serves as a repository for all things pertaining to Van Der Waerden sequences. Volunteers to run the distributed client, mathematicians to help with theory, and anyone interested in VDW sequences are welcome!

PuSSH is Pythonic, Ubiquitous SSH, a Python wrapper/script that runs commands in parallel on clusters/ranges of linux/unix machines via SSH, ideally where SSH is configured to use Kerberos, RSA/DSA keys, or ssh-agent as to avoid password authentication.

Python DB driver for Java JDBC. Allows CPython programs to use a java JDBC driver to connect with a database server. It's API is Python DB compliant. ZJdbcDA (a zope database adapter) is also included.

PyMW is a Python module for parallel master-worker computing in a variety of environments. With the PyMW module, users can write a single program that scales from multicore machines to global computing platforms.

PyREXX is a interprocess messaging server for routing remote prodecure calls using xml-based messages (Jabber, XML-RPC, etc), which will allow programs to interact more easily.

A collection of Python tools and libraries for systems management in highly available distributed environment.

Pydusa is a package for parallel programming using Python. It contains a module for doing MPI programming in Python. We have added parallel solver packages such as Parallel SuperLU for solving sparse linear systems.

A dynamic, extensible XML-RPC server framework with a builtin scheduling engine. Ideal as a core component for n-tier platforms which require a stable XMLRPCServer.

This package provides Python bindings to the OpenPBS C API. All functions of the OpenPBS C library can be accessed in Python through the use of this package. We provide extensive documentation on the usage and lots of examples.

Rainbow@Home is a open source project using Boinc to create rainbow tables using distributed computing.

RainforestCluster is an Amazon EC2 python program that manages and load-balances dynamic clusters to allow for maximum workflow flexibility and speed at minimal cost. It enables one to quickly and cheaply create dynamic compute clusters in the cloud, which can then run computational pipelines generically. It is also able to optimize the use of spot instances - idle computers in Amazon's cloud that are available at drastically reduced cost (5x-10x cheaper) - but can be terminated at any moment if capacity drops or the bid price rises. It also provides pre-installed features such as GlusterFS distributed filesystems, ThunderstormDistributor queuing system, RAID 0 /scratch, password-less ssh, and automatic cluster management, for ease of use and maximum processing speed for computational tools. Originally it was developed as a different version for the Wall Lab at Harvard CBMI.