A powerful, open-source platform for building interactive dashboards and charts from multiple data sources without coding.

Overview:

Chartbrew is an open-source web application that connects directly to databases and APIs to generate visual charts. It includes a chart builder, editable dashboards, embeddable charts, a query and requests editor, and team capabilities. The tool is designed for users who need to create data visualizations from various data sources without moving data into a separate analytics platform.

Core Features:

  • Chart builder: Create charts using data pulled directly from connected databases and APIs.

  • Editable dashboards: Arrange and update charts within customizable dashboard views.

  • Embeddable charts: Export charts for embedding in external websites or applications.

  • Query & requests editor: Write queries or API requests to define the data used in charts.

  • Team capabilities: Support multiple user accounts for collaborative dashboard and chart management.

Use Cases:

  • Developers and data analysts: Build visual charts from application databases or third-party APIs for internal reporting.

  • Product and operations teams: Create shared dashboards to monitor key metrics without exporting data to separate tools.

  • Self-hosters: Deploy Chartbrew on their own infrastructure using Docker or a DigitalOcean one-click droplet for full data control.

Why It Matters:

Chartbrew removes the need to extract data from databases or APIs before charting by connecting directly to source systems. Its team capabilities, embeddable charts, and self-hosting options (via Docker, DigitalOcean, or local setup) make it a practical alternative for teams that want to keep visualization workflows close to their data. The open-source nature allows for custom modifications and internal deployment without vendor dependency.

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MIT

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Power BI