Showing 3 open source projects for "fast performance"

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    MyQ Print Management Software

    SAVE TIME WITH PERSONALIZED PRINT SOLUTIONS

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  • Vibes don’t ship, Retool does Icon
    Vibes don’t ship, Retool does

    Start from a prompt and build production-ready apps on your data—with security, permissions, and compliance built in.

    Vibe coding tools create cool demos, but Retool helps you build software your company can actually use. Generate internal apps that connect directly to your data—deployed in your cloud with enterprise security from day one. Build dashboards, admin panels, and workflows with granular permissions already in place. Stop prototyping and ship on a platform that actually passes security review.
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  • 1
    Shadowsocks Rust

    Shadowsocks Rust

    A Rust port of shadowsocks

    Shadowsocks Rust is an open-source, high-performance implementation of the Shadowsocks secure proxy protocol written in Rust, designed to provide fast, encrypted SOCKS5-based tunneling to help users bypass network censorship and protect privacy. Shadowsocks itself is widely used to route internet traffic through an encrypted proxy, allowing secure access to blocked or restricted content while mitigating simple traffic-inspection techniques.
    Downloads: 16 This Week
    Last Update:
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  • 2
    Pipy

    Pipy

    Pipy is a programmable proxy for the cloud, edge and IoT

    Pipy is a high performance programmable proxy for the cloud, edge and IoT. Its core is written in C++ with excellent cross-platform capability. It is both high performance and low resource. Pipy comes with a built-in JavaScript engine that allows easy custom logic implementation with the simple JS syntax, greatly reducing the complexity in high-performance network programming. It is suitable for a variety of hardware architectures including x86, ARM64, Loongson and RISC-V. It is also...
    Downloads: 0 This Week
    Last Update:
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  • 3
    proxy.py

    proxy.py

    Utilize all available CPU cores for accepting new client connections

    proxy.py is made with performance in mind. By default, proxy.py will try to utilize all available CPU cores to it for accepting new client connections. This is achieved by starting AcceptorPool which listens on configured server port. Then, AcceptorPool starts Acceptor processes (--num-acceptors) to accept incoming client connections. Alongside, if --threadless is enabled, ThreadlessPool is setup which starts Threadless processes (--num-workers) to handle the incoming client connections....
    Downloads: 2 This Week
    Last Update:
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