Showing 4 open source projects for "big data visualization"

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  • 1
    Redash

    Redash

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

    ...It lets you create big, beautiful and easy to digest visualizations on dashboards for better decision-making. Redash supports a multitude of SQL and NoSQL data sources, and can be extended to support even more. Best of all it’s open source, so you can customize and add features to suit your organization’s needs perfectly.
    Downloads: 16 This Week
    Last Update:
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  • 2
    tabularis

    tabularis

    An open-source desktop client for modern databases.

    ...Built-in MCP server for AI agent integration. Visual Query Builder with drag-and-drop JOINs. Plugin system to add any database driver. Monaco-based editor with smart autocomplete. High-performance data grid with inline editing. ER Diagram visualization. SSH tunneling. Secure credential storage via OS keychain. Split view, saved queries, SQL dump/import, 10+ themes, customizable shortcuts. Hackable, extensible, and built for everyday SQL work. https://tabularis.dev https://github.com/debba/tabularis
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    Downloads: 48 This Week
    Last Update:
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  • 3
    DB Explorer

    DB Explorer

    The modern AI‑first database client for developers DBAs and analyst

    DB Explorer is a free, cross-platform database query tool and schema explorer built for developers, DBAs, and data analysts. It provides a clean graphical interface for connecting to multiple database systems, writing and executing SQL, exploring schemas, monitoring database health, and generating SQL queries using AI — all from a single application. Supported Databases: PostgreSQL, MySQL, MariaDB, SQL Server, Oracle, SQLite, Amazon DynamoDB, and any JDBC-compatible database.
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    Downloads: 11 This Week
    Last Update:
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  • 4
    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: 3 This Week
    Last Update:
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