Deliver the power of Python analytics at <5% the cost of building full-stack analytics. Learn how with Dash!

Dash Enterprise

Dash is the most downloaded, trusted framework for building ML & data science web apps.

Step 1: Build

Build your Dash app in a few lines of Python, R, or Julia code.

Python installation (docs):
pip install dash

Dash R installation (docs): install.packages(“dash”)

Julia installation (docs): pkg> add Dash DashCoreComponents DashHtmlComponents DashTable

Jupyter installation (docs):
pip install jupyter-dash

Step 2: Deploy

Deploy your Dash app to Dash Enterprise with a single git command.

Our Ø-downtime git deployments hot swap containers so that your Dash apps never have downtime.

Step 3: Scale 

Deploy unlimited Dash apps to unlimited end users.

Manage your fleet of deployed Dash apps through the Dash Enteprise App Manager.

Authentication, horizontal scaling, deployment, app analytics, and API key protection can all be managed in App Manager by data scientists instead of IT.

Experience Dash Enterprise with Dash Gallery - a collection of 100s of Python & R Dash apps all published on Dash Enterprise Kubernetes.

Dash & Dash Enterprise let you build & deploy analytic web apps using Python, R, and Julia. No JavaScript or dev ops required.

Through Dash, the world's largest companies productionize AI initiatives 21x faster than full-stack development teams.

Dash Enterprise is the fastest way to deliver ML and data science initiatives.

💻Deliver apps and dashboards that run advanced analytics: ML, NLP, forecasting, computer vision and more.

🐍Work in the languages you love: Python, R, and Julia.

💵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 dev ops team.

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

🎱Scale effortlessly with Kubernetes.

⚙️Support mission-critical applications with high availability.

Everyday, Data Science and Machine Learning teams rely on Plotly
for creating beautiful analytic apps.

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$30M

Funding toward advancing open source data visualization and Python & R user interfaces.

33K

Total GitHub Stars for Dash, Plotly.py, & Plotly.js (top 1% of GitHub's most popular software). Throw us a star!

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4M

Monthly downloads of Plotly open source graphing libraries.

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50M+

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

Dash Enterprise operationalizes Python & R models at scale
for the world's largest companies.

Dash Enterprise Features

Plotly is proud to partner with these technology companies and investors to advance Dash as the leading library for building AI & ML apps.

“Dash Enterprise has been a lifesaver. I’m able to quickly create, edit, and deploy customized Dash apps as soon as I need to. Dash Enterprise is lightyears ahead of other Python & R app deployment platforms."

Cory Jez Data Scientist, Basketball Analytics, Utah Jazz

Data Science teams ❤️ Dash.

See Dash in action.

Sign up for our next Dash Live Weekly demo session to learn more about our Dash Enterprise offering, including industry applications and all the latest tips and features on how to operationalize your data science models.

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