Flask JSONDash is a Flask blueprint that enables you to build complex dashboards without writing front-end code, using only JSON configuration.
The tool solves the problem of creating data visualization dashboards quickly by eliminating the need for custom front-end development. It works by accepting JSON configurations that declare arbitrary charts, then rendering them using popular charting libraries like C3.js and D3.js. The dashboard pulls data from any API endpoint you specify, as long as the payload matches the expected schema. Users can define chart types, data sources, and layout through JSON alone, with support for both Bootstrap grid-based and freeform layout modes. The tool also includes data utilities for transforming and munging data to suit various chart types, and supports custom interactive inputs that map to query parameters for filtering or modifying endpoint responses.
Flask JSONDash suits teams that want to rapidly prototype or deploy dashboards without investing in front-end development. It works well for projects where you already have data endpoints available and need a quick way to visualize that data. The tool provides drag-and-drop layout editing and comes with pre-packaged styles and blueprint layouts, so you can focus on configuration rather than design. It requires MongoDB for storing dashboard configurations and expects you to set environment variables for database connection details.
The project maintains a collection of example configurations in its repository to help users understand the JSON schema requirements. Documentation covers the core configuration format, supported chart libraries and their specific data schemas, and data utility functions available for preprocessing. The tool includes a demo Flask application with example endpoints that can be run alongside your main application to test various chart types.
