Showing 4 open source projects for "numeric"

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    Rust lexical

    Rust lexical

    Fast numeric to- and from-string conversion routines

    rust-lexical is a high-performance Rust library for numeric-to-string and string-to-numeric conversions. Designed for efficiency and flexibility, it operates in no_std environments, making it suitable for embedded systems and performance-critical applications. The library supports various numeric formats and provides customizable parsing and formatting options.​
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  • 2
    Peroxide

    Peroxide

    Rust numeric library with high performance and friendly syntax

    Rust numeric library contains linear algebra, numerical analysis, statistics and machine learning tools with R, MATLAB, Python-like macros. Peroxide uses a 1D data structure to represent matrices, making it straightforward to integrate with BLAS (Basic Linear Algebra Subprograms). This means that Peroxide can guarantee excellent performance for linear algebraic computations by leveraging the optimized routines provided by BLAS.
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  • 3
    jaq

    jaq

    A jq clone focussed on correctness, speed, and simplicity

    jaq (pronounced like Jacques) is a clone of the JSON data processing tool jq. jaq aims to support a large subset of jq's syntax and operations. Jaq aims to provide a more correct and predictable implementation of jq, while preserving compatibility with jq in most cases.
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  • 4
    weight_matchers

    weight_matchers

    Efficiently find items by matching weight in const lookup structure.

    Efficiently find items by matching weight. If your data is static, you can build the lookup structure (a complete binary tree) at compile time, by making it `const`. You can use any inferred numeric type for the weights. You can have any range for the lookup, by default `0.0 .. 1.0` for floats, and their respective whole spectrum for unsigned integers.
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