Search Results for "python programming language"
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Showing 33 open source projects for "python programming language"
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Zipkin
Distributed tracing system to gather timing data
Zipkin is a distributed tracing system. It helps gather timing data needed to troubleshoot latency problems in service architectures. Features include both the collection and lookup of this data. If you have a trace ID in a log file, you can jump directly to it. Otherwise, you can query based on attributes such as service, operation name, tags and duration. Some interesting data will be summarized for you, such as the percentage of time spent in a service, and whether or not operations... -
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HPCC Systems
End-to-end big data in a massively scalable supercomputing platform.
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lixa
LIXA, LIbre XA, is a free and open source XA transaction manager
... technology enables every application container, like a web server or a shell, to become a two phase commit application server. The client/server architecture of LIXA allows many application containers to share a single LIXA (state) server: this is ideal when horizontal scalability is a must and many identical application containers must refer to a single transactional environment. LIXA can be used with the C, C++, Java, Python and COBOL programming languages. -
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dispy
Distributed and Parallel Computing with/for Python.
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. -
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Distributed MultiThreaded Checkpointing
Checkpoint/Restart functionality for Linux processes
DMTCP (Distributed MultiThreaded Checkpointing) transparently checkpoints a single-host or distributed computation in user-space -- with no modifications to user code or to the O/S. It works on most Linux applications, including Python, Matlab, R, GUI desktops, MPI, etc. It is robust and widely used (on Sourceforge since 2007). Among the applications supported by DMTCP are MPI (various implementations), OpenMP, MATLAB, Python, Perl, R, and many programming languages and shell scripting... -
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Pholcus
Distributed high-concurrency crawler software written in pure golang
Pholcus is a high-concurrency crawler software written in pure Go language that supports distributed, only used for programming learning and research. It supports three operating modes of stand-alone, server and client, and has three operating interfaces, Web, GUI, and command line; simple and flexible rules, concurrent batch tasks, and rich output methods (mysql/mongodb/kafka/csv/excel, etc.); In addition, it also supports horizontal and vertical grabbing modes, and a series of advanced... -
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Madara
Middleware for distributed applications
... is the Knowledge and Reasoning Language (KaRL) Engine, which provides a real-time scripting language for nanosecond execution times hooked into a flexible transport layer for distributed reasoning. The KaRL engine also supports object-oriented C++, Java, and Python programming through Containers, classes that provide abstractions and references for variable location within the KaRL Knowledge Base. This project is currently in process of being ported from http://madara.googlecode.com. -
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NetProg is an API in C language allowing an homogeneous programming of communicating applications on many operating systems. It covers all the need for applications that requires complex way of exchanging data in synchronous or asynchronous mode. Based on messages for exchanging data between clients and servers, it, moreover, access databases or files with the same message modelling.
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asyncoro
Python framework for asynchronous, concurrent, distributed programming
asyncoro is a Python framework for developing concurrent, distributed, network programs with asynchronous completions and coroutines. Asynchronous completions implemented in asyncoro are sockets (non-blocking sockets), database cursors, sleep timers and locking primitives. Programs developed with asyncoro have same logic and structure as Python programs with threads, except for a few syntactic changes. asyncoro supports socket I/O notification mechanisms epoll, kqueue, /dev/poll (and poll... -
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FAIN SNMP Activator
Active Network Programming Language
FAIN SNAP provides an active network programming language and interpreter. It allows finite state machines to be operated over a number of network elements. Its main use is to program firewalls and raise alerts. It is a native Debian distribution. -
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RedMQ
Simple, flexible messaging with Redis.
RedMQ is a Redis-based messaging system that is specifically designed to support flexible messaging schemes, exposing an API that allows messages to be filtered by a number of message attributes. At its core is a Python TCP server built on Asynchronous Messaging Protocol and Twisted's AMP module. This means RedMQ can support clients in any language, though only two clients - PHP and Python - have been implemented to date. The API is designed with flexibility in mind, providing native support... -
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Distributed Parallel Programming for Python! This package builds on traditional Python by enabling users to write distributed, parallel programs based on MPI message passing primitives. General python objects can be messaged between processors. Ru
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Simdist lets you harness the power of cluster computing without any knowledge of parallel libraries such as MPI, and with no restrictions on programming language. Primarily targeted at evolutionary computing and similar master-slave configurations.
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Roomy is a programming language extension for writing parallel disk-based applications. All details of parallelism and disk I/O are hidden within the Roomy library.
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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.
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Python Integrated Parallel Programming EnviRonment (PIPPER), Python pre-parser that is designed to manage a pipeline, written in Python. It enables automated parallelization of loops. Think of it like OpenMP for Python, but it works in a computer cluster
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Design and development of visual programming interface to allow specification, loading, execution and termination of specified simulation runs. It should be capable of allowing secure remote control flow setup, execution / termination of simulation jobs
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A Workflow Management System for scientific environments written in C++ based on the Petri Nets formalism. It uses the Grid Workflow Description Language (GWorkflowDL) as reference language.
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An architecture description language (DiaSpec) supports the description of components of a given distributed computing area. From these descriptions, DiaGen generates a dedicated programming framework to support distributed application development.
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Simple Distributed Job Management Tools facilitates parallel, distributed execution of simple commands, on a network of UNIX-like machines. Components include a job dependency/exclusivity language and load-balanced remote execution facility.
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The CCM Tools are CASE tools used for generating CORBA components, test components, and test programs based on source IDL files. Various target languages can be generated. Scripting language wrappers can also be generated to enable rapid prototyping.
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Utility classes for sending files over JMS providers like ActiveMQ, use of XDoclet generated code and Hibernate in J2EE projects. In addition code to call EJB SessionBeans from C++. Programming Language: java Libraries: XDoclet, Hibernate
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This is the Emerald Distributed Programming Language. It's an object-oriented programming language meant for distribution, featuring light-weight object migration. This project provides the programming language itself aswell as a plugin for Eclipse.
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The XPS is a scalable platform for meta-programming and domain engineering. It provides a virtual machine, compiler, and runtime library that make it possible to efficiently develop, debug, and run programs based on XPL (eXtensible Programming Language)
