Showing 3 open source projects for "game source editor"

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  • Train ML Models With SQL You Already Know Icon
    Train ML Models With SQL You Already Know

    BigQuery turns your data warehouse into an AI platform. No new languages required.

    Build and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
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    $300 in Free Credit Across 150+ Cloud Services

    VMs, containers, AI, databases, storage | build anything. No commitment to start.

    Start your project in minutes. After credits run out, 20+ products include free monthly usage. Only pay when you're ready to scale with Google Cloud.
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  • 1
    Redash

    Redash

    Connect to any data source, easily visualize and share your data

    Redash is an essential tool to help you make sense of your data. It allows everyone, regardless of level of technical know-how to harness the power of data. SQL users connect, query, visualize and share data easily and efficiently, allowing everyone in their organization to use the data. Redash combines the power and comfort of an SQL client with the collaborative benefits of a cloud-based service. It lets you create big, beautiful and easy to digest visualizations on dashboards for...
    Downloads: 3 This Week
    Last Update:
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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: 13 This Week
    Last Update:
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  • 3
    Falcon

    Falcon

    Free, open-source SQL client for Windows and Mac

    Falcon is a free, open-source SQL editor with inline data visualization. With Falcon you can connect to your database in the Connection tab, run SQL queries in the Query tab, then export your results as a CSV or open them in the Chart Studio to unlock the full power of Plotly graphs. Optionally, you can use Falcon as a middleman between plot.ly and your database - so that when your database updates, your charts and dashboards update as well.
    Downloads: 2 This Week
    Last Update:
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