Showing 4 open source projects for "open message queue"

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  • 1
    The Acton programming language

    The Acton programming language

    The Acton Programming Language

    Write programs that seamlessly run as a distributed system over an entire data center or region. All without a single line of RPC code. Acton automatically persists the state of your application (orthogonal persistence) to a built-in distributed backend. No need to use a database or message broker ever again. 0 lines of persistence code. Built-in redundancy; Acton's transactional, high-performance distributed RTS can seamlessly resume application state after hardware failures. Never stop for...
    Downloads: 16 This Week
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  • 2
    SuperCollider

    SuperCollider

    Audio server, programming language, and IDE for sound synthesis

    SuperCollider is a platform for audio synthesis and algorithmic composition, used by musicians, artists, and researchers working with sound. It is free and open source software available for Windows, macOS, and Linux. scsynth, a real-time audio server, forms the core of the platform. It features 400+ unit generators (“UGens”) for analysis, synthesis, and processing. Its granularity allows the fluid combination of many known and unknown audio techniques, moving between additive and...
    Downloads: 4 This Week
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  • 3
    ELENA Programming Language

    ELENA Programming Language

    an object-oriented language with late binding

    ELENA is a general-purpose, pure object-oriented language with late binding. It promotes more object-oriented program design, reusable and more standardized code. The package includes compiler, IDE, ELENA libraries and samples
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    Downloads: 23 This Week
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  • 4
    Edward

    Edward

    A probabilistic programming language in TensorFlow

    A library for probabilistic modeling, inference, and criticism. Edward is a Python library for probabilistic modeling, inference, and criticism. It is a testbed for fast experimentation and research with probabilistic models, ranging from classical hierarchical models on small data sets to complex deep probabilistic models on large data sets. Edward fuses three fields, Bayesian statistics and machine learning, deep learning, and probabilistic programming. Edward is built on TensorFlow. It...
    Downloads: 4 This Week
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