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Description

Dash Enterprise
Dash apps go where traditional BI cannot… NLP, object detection, predictive analytics, and more. With 0.5M+ downloads/month, Dash is the new standard for AI & data science apps.

Step 1: Build
Build your Dash app in a few lines of Python code.
Python installation (docs):
pip install dash

Jupyter installation (docs):
pip install jupyter-dash

Dash & Dash Enterprise let you build & deploy analytic web apps using Python. No JavaScript or DevOps required.

Through Dash, the world’s largest companies elevate AI, ML, and Python analytics to business users at 5% the cost of a full-stack development approach.

Dash Enterprise is the fastest way to elevate AI, ML, and Python analytics to business users.
💻Deliver apps and dashboards that run advanced analytics: ML, NLP, forecasting, computer vision and more.

🐍Work in Python.

💵Reduce costs by migrating legacy, per-seat licensed software to Dash Enterprise’s open-core, unlimited end-user pricing model.

⏱Move faster by deploying and updating Dash apps without an IT or DevOps team.

🎨Create pixel-perfect dashboards & web apps, without writing any CSS.

🎱Scale effortlessly with a stateless design.

⚙️Support mission-critical Python applications.

Dash is the open-source standard for analytic apps in Python.
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$30M
Funding toward advancing open-source data visualization and Python & R user interfaces.

59K
Total GitHub Stars for all Plotly open-source projects (top 1% of GitHub’s most popular projects). Throw us a star!

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10M+
Monthly downloads of Plotly graphing and app building libraries.

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50M+
Plotly users worldwide are making data science and AI accessible to everyone.