Showing 4 open source projects for "manipulation"

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  • 1
    Zerocopy

    Zerocopy

    Zerocopy makes zero-cost memory manipulation effortless

    Zerocopy is a Rust library designed to make zero-cost memory manipulation both safe and effortless. It allows developers to reinterpret or convert raw byte sequences into structured types—and vice versa—without writing unsafe code directly. The crate provides safe abstractions for transmuting data while preserving Rust’s strict safety guarantees, removing the need for manual memory manipulation. Zerocopy introduces a suite of conversion traits such as TryFromBytes, FromBytes, IntoBytes, and FromZeros for defining how types can be safely constructed from or written to byte sequences. ...
    Downloads: 0 This Week
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  • 2
    Karate

    Karate

    Test automation made simple

    Karate is the only open-source tool to combine API test-automation, mocks, performance-testing and even UI automation into a single, unified framework. The BDD syntax popularized by Cucumber is language-neutral, and easy for even non-programmers. Assertions and HTML reports are built-in, and you can run tests in parallel for speed. There’s also a cross-platform stand-alone executable for teams not comfortable with Java. You don’t have to compile code. Just write tests in a simple, readable...
    Downloads: 7 This Week
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  • 3
    Booster

    Booster

    Optimizer for mobile applications

    Booster is an easy-to-use, lightweight, powerful and extensible quality optimization toolkit designed specially for mobile applications. The primary goal is to solve quality problems with the increase of APP complexity, such as performance, stability, and package size, etc. Booster provides a collection of modules for performance detection, multithreading optimization, resources index inline, redundant resources reduction, resources compression, system bug fixing, etc. Using booster, the...
    Downloads: 0 This Week
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  • 4

    Java/C Comparative Benchmarks

    Java and C Comparative Performance Benchmarks

    ...No language libraries were used to avoid implementation differences. Some of the benchmarks are also implemented in Python and Scala. There are benchmarks for bit twiddling, numerical computing, data structure manipulation, concurrent computing, callouts to native libraries, and, graphics processing units (GPU) utilization.
    Downloads: 0 This Week
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