Showing 12 open source projects for "xml to csv"

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  • 1
    Countries States Cities Database

    Countries States Cities Database

    Discover our global repository of countries, states, and cities

    Full Database of city state country available in JSON, SQL, XML, YAML & CSV format. All Countries, States and cities are Covered and populated with Different Combinations and versions. The API database is regularly updated to ensure the latest data is available to users. Discover our global repository of countries, states, and cities! Get comprehensive data in JSON, SQL, XML, YAML, and CSV formats. Access ISO2, ISO3 codes, country code, capital, native language, time zones (for countries...
    Downloads: 83 This Week
    Last Update:
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  • 2
    JSON Crack

    JSON Crack

    Innovative and open-source visualization application

    JSON Crack is a free, open-source data visualization app capable of visualizing data formats such as JSON, YAML, XML, CSV and more, into interactive graphs. With its intuitive and user-friendly interface, JSON Crack makes it easy to explore, analyze, and understand even the most complex data structures. Whether you're a developer working on a large-scale project or a data enthusiast looking to uncover hidden insights, JSON Crack has the tools and features you need to unlock the full potential...
    Downloads: 11 This Week
    Last Update:
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  • 3
    World countries JSON

    World countries JSON

    Constantly updated lists of world countries

    Constantly updated lists of world countries and their associated alpha-2, alpha-3 and numeric country codes as defined by the ISO 3166 standard, available in CSV, JSON , PHP, SQL and XML formats, in multiple languages and with national flags included; also available are the ISO 3166-2 codes of provinces/ states associated with the countries. Also available are the ISO 3166-2 codes used for identifying the principal subdivisions (e.g., provinces or states) of all countries coded in ISO 3166-1.
    Downloads: 6 This Week
    Last Update:
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  • 4
    Shale

    Shale

    Shale is a Ruby object mapper and serializer for JSON, YAML, TOML

    Shale is a Ruby object mapper and serializer for JSON, YAML, TOML, CSV and XML. It allows you to parse JSON, YAML, TOML, CSV and XML data and convert it into Ruby data structures, as well as serialize data structures into JSON, YAML, TOML, CSV or XML.
    Downloads: 0 This Week
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    Easy Localization

    Easy Localization

    Easy and Fast internationalizing your Flutter Apps

    Easy and Fast internationalization for your Flutter Apps. You can use JSON, CSV, HTTP, XML, YAML files, etc. Code generation for localization files and keys.
    Downloads: 0 This Week
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  • 6
    PHP7

    PHP7

    PHP7 / Laravel Multi-format Streaming Parser

    When it comes to parsing XML/CSV/JSON/... documents, there are 2 approaches to consider. DOM loading loads all the documents, making it easy to navigate and parse, and as such provides maximum flexibility for developers. Streaming implies iterating through the document, acts like a cursor, and stops at each element in its way, thus avoiding memory overkill. Thus, when it comes to big files, callbacks will be executed meanwhile file is downloading and will be much more efficient as far as memory...
    Downloads: 1 This Week
    Last Update:
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  • 7
    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: 1 This Week
    Last Update:
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  • 8
    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...
    Downloads: 0 This Week
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  • 9
    python-benedict

    python-benedict

    dict subclass with keylist/keypath support

    python-benedict is a dict subclass with keylist/keypath/keyattr support, I/O shortcuts (base64, cli, csv, ini, json, pickle, plist, query-string, toml, xls, xml, yaml) and many utilities... for humans, obviously.
    Downloads: 0 This Week
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  • 10

    xsd2pgschema

    Relational database replication tool based on XML Schema

    xsd2pgschema is a Java application suite, which converts XML Schema 1.1 (hierarchical data model) to PostgreSQL DDL (relational data model) and supports XML data migration into PostgreSQL based on the XML Schema without defects on information content. It also supports full-text indexing via either Apache Lucene or Sphinx Search utilizing the relational data model. File conversion from XML to CSV, TSV, or JSON is possible as well as mapping XML Schema to JSON Schema. Obtained PostgreSQL...
    Downloads: 1 This Week
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  • 11
    generatedata

    generatedata

    A powerful, feature-rich, random test data generator

    This is the repo for the downloadable version of generatedata.com. The script is essentially an engine to generate any sort of random data in any format. It currently comes with 30 or so Data Types (types of data it generates), 12 Export Types (formats for the data, like CSV, SQL, JSON), plus around 32 data sets for specific countries (city names, regions, etc). But more importantly, it can be extended in any way you want. Check out the developer documentation for more information...
    Downloads: 2 This Week
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  • 12
    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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