Showing 4 open source projects for "ecommerce php mysql"

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  • 1

    Zora Testing Pot

    An open-source automated database testing tool

    Zora is an open-source automated testing framework designed specifically for testing database functionalities. It supports multiple database management systems including MySQL, PostgreSQL, and MongoDB. The framework provides a comprehensive suite of tests to ensure data integrity, reliability, and performance across different database types.
    Downloads: 0 This Week
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  • 2
    MyWebSQL
    MyWebSQL is a web based WYSIWYG Database client written in PHP. It has a simple and intuitive interface with the look and feel of a desktop application, and offers rich features for database management. No installation is needed, just download, extract and you are ready to go. It even has a single file compact version with full functionality, which you can quickly deploy on your server. Currently MyWebSQL supports working with MySQL, PostgreSQL and SQLite databases.
    Downloads: 14 This Week
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  • 3

    MzzCRM

    MzzCRM 1-page 1-form PHP+MySQL Customer Relationship Management Script

    This is the MzzCRM CRM database script that consists of a single input textbox on a web page that stores them into a MySQL database table. It has one field so that the person inserting the case notes can insert the case notes quickly and has the ability to include full details, or to leave full details out. The script is designed to perform the essential first action of a CRM -- creating the case notes. If needed to browse or access the data later after it was input, use another 3rd...
    Downloads: 0 This Week
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  • 4
    PhpMyAjax is an open source OOP/PHP5 application designed to mimick the MySQL standard client using AJAX. The app is 100% templatable so can be made to look fun as well as offering the flexibility of a CLI. Great for shared hosts without shell acess.
    Downloads: 0 This Week
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  • Deliver trusted data with dbt Icon
    Deliver trusted data with dbt

    dbt Labs empowers data teams to build reliable, governed data pipelines—accelerating analytics and AI initiatives with speed and confidence.

    Data teams use dbt to codify business logic and make it accessible to the entire organization—for use in reporting, ML modeling, and operational workflows.
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