
Dash
Python developers can use Dash to build data apps and dashboards without requiring JavaScript.

About Dash
Dash is an open source Python framework for building data science web apps and dashboards without requiring JavaScript knowledge. It is built on Plotly.js, React, and Flask, and connects interactive UI elements including dropdowns, sliders, and graphs directly to analytical Python code, with support for roughly 50 Plotly.js chart types including maps. The open source version of Dash runs on a local laptop or workstation but is not designed for easy sharing across an organization. A separate commercial Dash Enterprise product offers additional features for department or company-wide deployment, including ML Ops tools, no-code authentication, and app management capabilities.
Key features
- Build data apps and dashboards in Python without JavaScript
- Built on Plotly.js, React, and Flask
- Supports approximately 50 Plotly.js chart types including maps
- Declarative reactive code for interactive multi-element apps
- Open source version runs on local laptops or workstations
- Dash Enterprise adds ML Ops, auth, and app management
- No JavaScript required to build interactive data apps
- Supports a wide range of Plotly.js chart types including maps
- Declarative reactive code simplifies building complex interactive apps
- Open source Dash apps cannot be easily shared across an organization
- Advanced deployment and management features require paid Dash Enterprise
Dash at a glance
- Website
- github.com/plotly/dash
- Category
- Development › Developer Tools
- Type
- Open-source project
- Pricing
- Not confirmed. Check the site
- Open source
- Yes · Source code
- Language
- English
- Last checked
- Oct 6, 2026 · Online when checked
- Listed
- Oct 5, 2026
Guides for Developer Tools
Dash alternatives
Tools and sites you could use instead, ranked by how closely they match.
PipeRider provided code review tools for dbt data and has been superseded by Recce.
Python developers can use Streamlit to build and share data applications.
For Python data preparation, DataPrep offers an open-source low-code library to collect, clean, and visualize data.
Visualize metrics, logs, and traces from multiple sources with Grafana, an observability and data visualization platform.
AWS Data Wrangler connects Pandas with AWS data services and databases, including Athena, Glue, Redshift, and S3.
Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
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Dash FAQ
Does Dash require JavaScript knowledge to use?
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Can open source Dash apps be shared across an organization?
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