Dash Dashboards
Dash Dashboards is an open-source business intelligence and analytics platform for creating interactive data visualizations and dashboards. It has a Python backend and React frontend, and integrates with databases like PostgreSQL and MySQL.
dashboard
data-visualization
business-analytics
Dash Dashboards: Open-Source Business Intelligence Platform
Create interactive data visualizations and dashboards with a Python backend and React frontend, integrating with databases like PostgreSQL and MySQL.
What is Dash Dashboards?
Dash Dashboards is an open-source business intelligence and analytics platform for creating interactive data visualizations and dashboards. It was developed in Python and uses Flask for the backend server and React for the frontend user interface.
Some key features of Dash Dashboards include:
- Connects to SQL databases like PostgreSQL, MySQL, and SQLite as well as NoSQL databases like MongoDB to access data
- Uses Plotly.js graphing library to create a variety of interactive charts and graphs like bar charts, histograms, box plots, scatter plots, maps, and more
- Drag and drop interface to design dashboard layouts containing different visualizations and components
- Python callbacks allow creating dynamic, interactive dashboards that update based on user input
- Authentication support and role-based access control for managing users
- Caching and clustering for improved performance with large datasets or many users
- crossfilter support for filtering data interactively across multiple charts
Dash Dashboards is free, open-source, and popular for building analytical web applications with Python. It allows developers to create rich dashboards using only Python without needing JavaScript or web development skills.
Dash Dashboards Features
Features
- Drag-and-drop interface for building dashboards
- Support for Python, R, SQL and other languages for data analysis
- Large library of customizable widgets like charts, tables, dropdowns
- Real-time data updates
- Authentication and role-based access control
- Integration with databases like PostgreSQL, MySQL, MongoDB
- Deployment options - run locally, on servers, in the cloud
- Open-source and community supported
Pricing
- Open Source
- Free
Pros
Intuitive and easy to use
Very flexible and customizable
Great for quickly building interactive dashboards
Integrates well with Python for advanced analytics
Free and open-source
Active community support
Cons
Steeper learning curve than some BI tools
Not as feature rich as commercial alternatives
Hosting and deployment requires DevOps skills
Limited built-in data connectors
Not ideal for large enterprise deployments
Official Links
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