Showing 11 open source projects for "concurrent"

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    Pholcus

    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 functions such as simulated login and task suspension and cancellation. This software is only used for academic research, users need to abide by the relevant laws and regulations of their location, please do not use it for illegal purposes! ...
    Downloads: 0 This Week
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  • 2

    pycos

    Python framework for concurrent, asynchronous, distributed tasks

    Python framework for concurrent, asynchronous, distributed communicating tasks for broad range of use cases, including public / private / hybrid cloud computing, fog / edge computing.
    Downloads: 2 This Week
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  • 3

    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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    Downloads: 4 This Week
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  • 4

    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 and select, where necessary), and Windows I/O Completion Ports (IOCP) for high performance and scalability, and SSL for security
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  • 5
    LIME (Less-is-More) is parallel/concurrent programming environment based on C. Internally, it uses XML technology to describe tasks and their dependencies. Externally, it offers the ANSI C99 programming as well as a set of visually-oriented interfaces.
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  • 6
    CoDeK - Java Concurrent Development frameworK is a very simple, open-source, academic java library aimed to help the development of Java multi-threading concurrent applications.
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  • 7
    Raindrop is a Java based framework based on SEDA (Staged Event Driven Architecture) principles. It focuses on providing highly concurrent server side throughput by managing and controlling Thread usage and concurrency primitives.
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  • 8
    The aim of our project is to create a portable microkernel and a set of OS services that allow good local performance, multiple concurrent operative system personalities (ie UNIX and a native interface) and easy integration of distributed components.
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  • 9
    The DataTime Process Framework is intended to support the processing of time-based data in a modular, concurrent, distributed and extensible manner. C++, using YARP, ACE, Qt and MUSCLE on Linux, OSX, Windows and Solaris.
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  • 10
    The project Mandala helps the development of concurrent and/or distributed applications. It is based on the asynchronous reference concept which provide asynchronous and potentially remote method invocation.
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  • 11

    Chor

    A choreography programming language for concurrent systems

    Chor is a strongly-typed choreography programming language for distributed systems. In Chor, the behaviour of a system is written down as a global program (a choreography) where all the message exchanges between the participants are explicit. Choreographies are statically checked against protocol specifications, given as types, enabling type-directed global programming. Finally, Chor supports the automatic generation of systems from a choreography. With Chor, you do not have to worry about...
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