What is this?
Dash is an open-source Python framework for building ML and data science web apps: interactive dashboards and data apps where dropdowns, sliders and graphs are wired directly into your analytical Python code, with no JavaScript required.
Dash is an open-source Python framework for building ML and data science web apps: interactive dashboards and data apps where dropdowns, sliders and graphs are wired directly into your analytical Python code, with no JavaScript required.Is Dash a framework or a plotting library — and what is it built on?It's a framework, not just a plotting library. Apps are written entirely in Python and served by Flask, while the browser side is rendered with React and Plotly.js.
It's a framework, not just a plotting library. Apps are written entirely in Python and served by Flask, while the browser side is rendered with React and Plotly.js.How do I get a first app running?Install it from PyPI with pip install dash and follow the official tutorial — the docs promise a first working app in under 5 minutes. The dash.gallery showcase also shares full Python and R source code for many example apps.
Install it from PyPI with pip install dash and follow the official tutorial — the docs promise a first working app in under 5 minutes. The dash.gallery showcase also shares full Python and R source code for many example apps.Do I need to know JavaScript or React to build with it?No. React, Plotly.js and Flask run under the hood, but you never touch them directly: the layout, the interactivity and the charts are all defined in Python.
No. React, Plotly.js and Flask run under the hood, but you never touch them directly: the layout, the interactivity and the charts are all defined in Python.If the framework itself is free, what's the catch for sharing apps with a team?Open-source Dash apps run on your own laptop or workstation and aren't easily accessible to others in an organization. Serving a department or company — hosting, scaling, authentication — is what the paid Dash Enterprise product adds.
Open-source Dash apps run on your own laptop or workstation and aren't easily accessible to others in an organization. Serving a department or company — hosting, scaling, authentication — is what the paid Dash Enterprise product adds.What kinds of charts can Dash render?Dash uses Plotly.js for charting: about 50 chart types are supported, including maps.
Dash uses Plotly.js for charting: about 50 chart types are supported, including maps.Is Dash only for dashboards?No — Dash isn't just for dashboards. You have full control over the look and feel of your applications; the README shows an app styled to look like a PDF report.
No — Dash isn't just for dashboards. You have full control over the look and feel of your applications; the README shows an app styled to look like a PDF report.How much code does an interactive app take?The README's example tying a dropdown to a Plotly graph, with data pulled from Google Finance into a Pandas DataFrame, is 43 lines. A larger app with 5 inputs, 3 outputs and crossfiltering fits in 160 lines — all Python, declarative and reactive.
The README's example tying a dropdown to a Plotly graph, with data pulled from Google Finance into a Pandas DataFrame, is 43 lines. A larger app with 5 inputs, 3 outputs and crossfiltering fits in 160 lines — all Python, declarative and reactive.What does the paid Dash Enterprise add over the free version?Ops and scale: point-and-click app deployment, horizontal scaling on Kubernetes, no-code auth (LDAP, AD, PKI, Okta, SAML, OpenID Connect, OAuth, SSO), a Job Queue for background computation, a CSS-free Design Kit, snapshot sharing as links or PDFs, embedding without IFrames, and ready-made AI/ML app templates.
Ops and scale: point-and-click app deployment, horizontal scaling on Kubernetes, no-code auth (LDAP, AD, PKI, Okta, SAML, OpenID Connect, OAuth, SSO), a Job Queue for background computation, a CSS-free Design Kit, snapshot sharing as links or PDFs, embedding without IFrames, and ready-made AI/ML app templates.What are similar projects?plotly.py, plotly.js, pygwalker, gradio, pyecharts, marimo, mlcourse.ai, perspective
plotly.py, plotly.js, pygwalker, gradio, pyecharts, marimo, mlcourse.ai, perspectiveWhich topics is it in?charting, plotly, dash, bioinformatics, dashboards, gui-framework, flask, jupyter, interactive, analytics, finance, data-visualization
charting, plotly, dash, bioinformatics, dashboards, gui-framework, flask, jupyter, interactive, analytics, finance, data-visualization