Showing 4 open source projects for "csv xml"

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  • 1
    sq data wrangler

    sq data wrangler

    sq data wrangler

    sq is a command line tool that provides jq-style access to structured data sources: SQL databases, or document formats like CSV or Excel. sq executes jq-like queries, or database-native SQL. It can join across sources: join a CSV file to a Postgres table, or MySQL with Excel. sq outputs to a multitude of formats including JSON, Excel, CSV, HTML, Markdown and XML, and can insert query results directly to a SQL database. sq can also inspect sources to view metadata about the source structure (tables, columns, size). ...
    Downloads: 3 This Week
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  • 2
    omniparser

    omniparser

    Native Golang ETL streaming parser and transform library

    Omniparser is a native Golang ETL parser that ingests input data of various formats (CSV, txt, fixed length/width, XML, EDI/X12/EDIFACT, JSON, and custom formats) in streaming fashion and transforms data into desired JSON output based on a schema written in JSON.
    Downloads: 0 This Week
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  • 3
    dasel

    dasel

    Select, put and delete data from JSON, TOML, YAML, XML and CSV files

    Dasel (short for data-selector) allows you to query and modify data structures using selector strings. Say goodbye to learning new tools just to work with a different data format. Dasel uses a standard selector syntax no matter the data format. This means that once you learn how to use dasel you immediately have the ability to query/modify any of the supported data types without any additional tools or effort. Dasel can be imported and used just like any other go package. This can be very...
    Downloads: 1 This Week
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  • 4
    GoJSONQ

    GoJSONQ

    A simple Go package to Query over JSON/YAML/XML/CSV Data

    A simple Go package to Query over JSON Data. It provides a simple, elegant, and fast ODM-like API to access, and query JSON documents. You can query your document using the various query methods such as Find, First, Nth, Pluck, Where, OrWhere, WhereIn, WhereStartsWith, WhereEndsWith, WhereContains, Sort, GroupBy, SortBy, and so on. Also, you can aggregate data after query using Avg, Count, Max, Min, Sum, etc.
    Downloads: 0 This Week
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