Showing 5 open source projects for "cpu high monitor"

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  • 1
    Zed

    Zed

    High-performance, multiplayer code editor from the creators of Atom

    Zed is a next-generation code editor designed for high-performance collaboration with humans and AI. Written from scratch in Rust to efficiently leverage multiple CPU cores and your GPU. Integrate upcoming LLMs into your workflow to generate, transform, and analyze code. Chat with teammates, write notes together, and share your screen and project. Multibuffers compose excerpts from across the codebase in one editable surface.
    Downloads: 16 This Week
    Last Update:
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  • 2
    Bend

    Bend

    A massively parallel, high-level programming language

    Bend is an interactive programming environment (REPL) built on top of the Kotlin language, designed to allow users to explore, experiment, and learn Kotlin in a live, feedback-driven manner. The tool lets you define variables, functions, or values at the prompt and iteratively refine them—immediately seeing output and types—while preserving state across commands. It emphasizes discoverability and experimentation: users can inspect functions, call them on sample inputs, and evolve logic...
    Downloads: 0 This Week
    Last Update:
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  • 3
    Floem

    Floem

    A native Rust UI library with fine-grained reactivity

    Floem is a cross-platform GUI framework for Rust. It aims to be extremely performant while providing world-class developer ergonomics. Supporting both GPU and CPU rendering, Floem gives you performance that's closest to bare metal. Also primitives are provided to help the developer to write performant UI code without too much effect.
    Downloads: 0 This Week
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  • 4
    Napkin Math

    Napkin Math

    Techniques and numbers for estimating system's performance

    Napkin Math is a technical reference project for estimating software system performance from first principles. It collects practical numbers, benchmark-style measurements, and mental models that help engineers make fast back-of-the-envelope calculations. The project is useful for questions like how much memory throughput matters, how long storage operations may take, what network latency to expect, or how expensive logging could become at high request volume. It treats these values as...
    Downloads: 0 This Week
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  • 5
    pipeless

    pipeless

    A computer vision framework to create and deploy apps in minutes

    ...You can easily use industry-standard models, such as YOLO, or load your custom model in one of the supported inference runtimes. Pipeless ships some of the most popular inference runtimes, such as the ONNX Runtime, allowing you to run inference with high performance on CPU or GPU out-of-the-box. You can deploy your Pipeless application with a single command to edge and IoT devices or the cloud.
    Downloads: 0 This Week
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