Showing 4 open source projects for "linux memory"

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  • 1
    Miller

    Miller

    Miller is like awk, sed, cut, join, and sort for name-indexed data

    Miller is like awk, sed, cut, join, and sort for data formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. With Miller, you get to use named fields without needing to count positional indices, using familiar formats such as CSV, TSV, JSON, JSON Lines, and positionally-indexed. Then, on the fly, you can add new fields which are functions of existing fields, drop fields, sort, aggregate statistically, pretty-print, and more. Miller operates on key-value-pair data while the...
    Downloads: 3 This Week
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  • 2
    decimal

    decimal

    Arbitrary-precision fixed-point decimal numbers in go

    Arbitrary-precision fixed-point decimal numbers in go. Note: Decimal library can "only" represent numbers with a maximum of 2^31 digits after the decimal point. The zero-value is 0, and is safe to use without initialization. Addition, subtraction, and multiplication with no loss of precision. Division with specified precision. Database/sql serialization/deserialization. JSON and XML serialization/deserialization. big.Int's API is built to reduce the number of memory allocations for maximal...
    Downloads: 0 This Week
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  • 3
    easyjson

    easyjson

    Fast JSON serializer for golang

    Package easyjson provides a fast and easy way to marshal/unmarshal Go structs to/from JSON without the use of reflection. In performance tests, easyjson outperforms the standard encoding/json package by a factor of 4-5x, and other JSON encoding packages by a factor of 2-3x. easyjson aims to keep generated Go code simple enough so that it can be easily optimized or fixed. Another goal is to provide users with the ability to customize the generated code by providing options not available with...
    Downloads: 0 This Week
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  • 4
    DJSON

    DJSON

    Fast Go decoder for dynamic JSON

    DJSON is a JSON decoder for Go that is 2~ to 3~ times faster than the standard encoding/json and the existing solutions when dealing with arbitrary JSON payload. It is a good approach for people who are using json.Unmarshal together with interface, don't know what the schema is, and still want good performance with minimal changes. DJSON is faster and allocates less memory than the other alternatives.
    Downloads: 0 This Week
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