Showing 4 open source projects for "json to csv"

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  • 1
    Bots-ediint open source edi translator

    Bots-ediint open source edi translator

    open source edi translator

    Bots-ediint is a file translator for EDI (Electronic Data Interchange). Translate files and databases data format to another one: edifact, x12, tradacoms, xml, json, raw, database (postgres, sqlite, mysql, oracle, ...) and more. Bots-ediint is based on Bots https://bots.sourceforge.net Support Python 2 and Python 3 AS2 communications are carried out with my external software that could work in standalone and/or in a Bots channel to send and receive AS2 messages (SYNC and...
    Downloads: 4 This Week
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  • 2
    proreports

    proreports

    Simple Reporting System

    ProReports is simple reporting system designed to generate reports in popular office formats - PDF, XLS, RTF, HTML, TXT, XML, JSON, CSV, PNG, GIF. These reports are generated based on the definition in the internal database system. ProReports supports jrxml (JasperReport) format. This type of report templates can be prepared in external editor, such as iReport. Also user can prepare report in internal format of ProReports (simple Visual Programming Language mixed with PHP5 and JAVA or Python). ...
    Downloads: 0 This Week
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  • 3
    DATAGERRY

    DATAGERRY

    Enterprise-Grade OpenSource CMDB with flexible data model.

    DATAGERRY is a flexible OpenSource CMDB & Assetmanagement Tool, which completely leaves the definition of a data model to the user. Simply define your own object types (like servers, routers, leased lines, locations and whatever you want) in an easy to use webfrontend. With our Export API, the CMDB objects stored in DATAGERRY can be easily exported to external systems, like monitoring systems, ticket systems, configuration management, and many many more.
    Downloads: 0 This Week
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  • 4
    QAL

    QAL

    Query Abstraction Layer

    Project has moved to: https://github.com/OptimalBPM/qal QAL is a collection of libraries for mining, transforming and writing data from and to a number of places. Sources and destinations include different SQL and NoSQL backends, file formats like .csv, XML and excel. Even untidy HTML web pages. It has a database abstraction layer that supports connectivity to Postgres, MySQL, DB2, Oracle, MS SQL server. JSON and MongoDB is coming. It uses XML/JSON formats(self-generated SQL schemas) for representing queries, transformation and merging, making it scriptable. This means that QAL can be backend agnostic about a subset of SQL features and data types. ...
    Downloads: 0 This Week
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