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Plotly Dash

Productive Python framework for building data visualization and ML web applications.

LicenseMIT
GitHub stars20.0k
Last commit1 weeks ago
Tags5 topics
Reactive Python CallbacksDeveloper ToolsPlotly Data VisualizationInteractive Analytics DashboardPython Data Apps
Overview

Why consider Plotly Dash?

Plotly Dash is an open-source Python framework for crafting analytical web applications without JavaScript. It binds Plotly charts, UI sliders, and input forms directly to backend Python calculation functions.

Guided learning

Learn Plotly Dash by building

Practical setup notes, real use cases, and copy-ready examples in one focused guide.

1 min read 2 sections
In this guide2 sections

Overview of Plotly Dash

Plotly Dash creates complex analytical dashboards and data tools in pure Python.

Quickstart

bash
1pip install dash

Create app.py with dash.Dash() and layout components to serve reactive charts.

Plotly Dash is licensed under the permissive MIT License.

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Plotly Dash FAQs

Plotly Dash is listed as a Developer Tools tool on TiloBox. Review the overview, features, and official documentation on this page to decide whether it solves your specific workflow.

Start with the project's GitHub repository and official website for supported installation and deployment instructions. Test the setup with representative data or a small project before rolling it out more widely.

Plotly Dash is listed under the MIT license. Read the complete license text and the project's notices before using, modifying, or distributing the software.

Production readiness depends on your requirements. Review maintenance activity, security practices, documentation, backup and upgrade procedures, and compatibility with your stack; then validate it in a non-production environment.

Plotly Dash is listed as an alternative to Streamlit. Compare the core workflow, deployment model, integrations, and licensing against your must-have requirements before switching.