Showing 9 open source projects for "byte on"

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  • 1
    INI

    INI

    Package ini provides INI file read and write functionality in Go

    The most powerful, convenient and popular Go package for INI manipulations existed on Earth. Not limited to reading from a file, parse from []byte type raw data, or streaming from io.ReadCloser works like a charm. Wide-range support of variant formats includes but is not limited to my.cnf, .gitconfig, or even unparseable sections. Automatically convert to native types of Go at no cost. Let you focus on the code logic and no more tedious conversions. Map your configuration to a user-defined struct{} to be more object-oriented. ...
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  • 2
    GJSON

    GJSON

    Get JSON values quickly, JSON parser for Go

    GJSON is a Go library designed for extremely fast, allocation-free retrieval of values from JSON documents. It enables you to query nested JSON structures using one-liner dot-notation or array-based paths and includes wildcard and comparison operators. The library is optimized for speed and zero allocations, benchmarking significantly faster than Go’s standard encoding/json unmarshal approaches. It supports parsing JSON lines (newline-delimited JSON) as an array for large stream processing....
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  • 3
    Resty

    Resty

    Simple HTTP and REST client library for Go

    Simple HTTP and REST client library for Go (inspired by Ruby rest-client). Features section describes in detail about Resty capabilities. Request URL Path Params (aka URI Params). Backoff Retry Mechanism with retry condition function reference. Resty client HTTP & REST Request and Response middleware. Request.SetContext supported. Authorization option of BasicAuth and Bearer token. Set request ContentLength value for all request or particular request. Custom Root Certificates and Client...
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  • 4
    Bloom filters

    Bloom filters

    Go package implementing Bloom filters

    A Bloom filter is a concise/compressed representation of a set, where the main requirement is to make membership queries; i.e., whether an item is a member of a set. A Bloom filter will always correctly report the presence of an element in the set when the element is indeed present. A Bloom filter can use much less storage than the original set, but it allows for some 'false positives': it may sometimes report that an element is in the set whereas it is not. When you construct, you need to...
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  • 5
    BigCache

    BigCache

    Efficient cache for gigabytes of data written in Go

    ...Fast, concurrent, evicting in-memory cache written to keep big number of entries without impact on performance. BigCache keeps entries on heap but omits GC for them. To achieve that, operations on byte slices take place, therefore entries (de)serialization in front of the cache will be needed in most use cases.
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  • 6
    ozzo-validation

    ozzo-validation

    An idiomatic Go (golang) validation package

    ...Use normal programming constructs rather than error-prone struct tags to specify how data should be validated. Can validate data of different types, e.g., structs, strings, byte slices, slices, maps, and arrays. Can validate custom data types as long as they implement the Validatable interface. Can validate data types that implement the sql.Valuer interface (e.g. sql.NullString). Customizable and well-formatted validation errors. Error code and message translation support. Provide a rich set of validation rules right out of the box. ...
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  • 7
    gofuzz

    gofuzz

    Fuzz testing for go

    ...It’s engineered to make property tests productive by automatically traversing nested types and supplying varied values, including zero values, extremes, and random strings or byte sequences. Because it respects Go’s type system, it can generate valid shapes for complex generic or composite types with very little setup. Users can register custom functions to influence how certain fields are constructed, which is useful for domains with strict invariants. The library’s determinism controls allow reproducible failures while still offering diverse coverage across runs. ...
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  • 8
    GoJay

    GoJay

    high performance JSON encoder/decoder with stream API for Golang

    GoJay is a performant JSON encoder/decoder for Golang (currently the most performant, see benchmarks). It has a simple API and doesn't use reflection. It relies on small interfaces to decode/encode structures and slices. Gojay also comes with powerful stream decoding features and an even faster Unsafe API. There is also a code generation tool to make usage easier and faster. I looked at other fast decoders/encoders and realized it was mostly hardly readable static code generation or a lot of...
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  • 9
    Hero

    Hero

    A handy, fast and powerful go template engine

    ...It has been used in a production environment in bthub.io. The function definition statement defines the function which represents a html file. The function defined should return one and only one parameter []byte. Extend statement states the parent template the current template extends. Include statement includes a sub-template to the current template. It works like #include in C++. Import statement imports the packages used in the defined function, and it also contains everything that is outside of the defined function. Block statement represents a block. ...
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