Showing 4 open source projects for "linux file parser"

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    Biome

    Biome

    A toolchain for web projects, aimed to provide functionalities

    Biome formats and lints your code in a fraction of a second. Biome supports JavaScript, TypeScript, JSON, and CSS. It aims to support all main languages of modern web development. Biome has sane defaults and requires minimal configuration. Biome helps you as much as possible by displaying detailed and contextualized diagnostics. Biome unifies functionality that has previously been separate tools. Building upon a shared base allows us to provide a cohesive experience for processing code,...
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  • 2
    log4rs

    log4rs

    A highly configurable logging framework for Rust

    log4rs is a highly configurable logging framework modeled after Java's Logback and log4j libraries. If you are using the file rotation in your configuration there is a known substantial performance issue so listen up! By default the gzip feature is enabled and when rolling files it will zip log archives automatically. This is a problem when the log archives are large as the zip happens in the main thread and will halt the process while the zip is completed. Be advised that the gzip feature...
    Downloads: 0 This Week
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  • 3
    json-rust

    json-rust

    JSON implementation in Rust

    Parse and serialize JSON with ease. JSON is a very loose format where anything goes - arrays can hold mixed types, object keys can change types between API calls or not include some keys under some conditions. Mapping that to idiomatic Rust structs introduces friction.
    Downloads: 0 This Week
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  • 4
    Pikkr

    Pikkr

    JSON parser to pick up values directly without performing tokenization

    JSON Parser which picks up values directly without performing tokenization in Rust. Pikkr is a JSON parser that picks up values directly without performing tokenization in Rust. Creates an index which maps logical locations of queried fields to their physical locations by using SIMD instructions and bit manipulation. Finds values of queried fields by scanning a JSON record using the index created in the previous process and learns their logical locations (i.e. pattern of the JSON structure)...
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