Dash by Plotly
Dash by Plotly is an open-source Python framework for building analytical web applications. It makes it easy to build reactive, customizable dashboards by leveraging Flask, Plotly.js, and React.js.
python
plotly
dashboard
visualization
analytics
Dash by Plotly: Open-Source Python Framework
An open-source Python framework for building analytical web applications with reactive, customizable dashboards using Flask, Plotly.js, and React.js.
What is Dash by Plotly?
Dash by Plotly is an open-source Python framework for building analytical web applications and dashboards. It makes it easy to build reactive, customizable user interfaces for data visualization and analysis without needing to know JavaScript.
Some key features of Dash include:
- Built on top of Flask, Plotly.js, and React.js, so it is fast and lightweight.
- Create fully interactive dashboards with support for updating plots, filtering data, and calling Python functions in response to user input.
- Customizable, reactive UI components for controls like dropdowns, sliders, graphs, and more.
- Simplify layouts with components like tabs, dropdown menus, and sidebars for multi-page apps.
- Includes high-level Python wrappers for Plotly.js charting library for over 35 chart types.
- Integrates well with common Python tools like Pandas, NumPy, and scikit-learn.
Overall, Dash by Plotly makes it very quick and simple to translate analysis and models built in Python into interactive web apps and dashboards that provide actionable insights.
Dash by Plotly Features
Features
- Interactive data visualization
- Built on top of Plotly.js, React, and Flask
- Supports many chart types like scatter plots, histograms, box plots, heatmaps, etc
- Linked views for cross-filtering
- Supports callbacks for dynamic updates and interactions
- Layouts with CSS grid and flexbox
- Authentication and role-based access control
- Works with Pandas DataFrames
Pricing
- Open Source
- Freemium
Pros
Open-source and free to use
Great for building analytical web apps quickly
Large library of customizable visualizations
Python-based, so easy for Python developers
Active community support
Cons
Steeper learning curve than some other BI tools
Advanced customization requires knowledge of React
Hosting and deployment may require DevOps skills
Not as feature-rich as commercial BI platforms
Official Links
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