Dash is the most downloaded, trusted framework for building ML & data science web apps.
Through Dash, the world's largest companies productionize AI initiatives 18x 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.
Funding toward advancing open source data visualization and Python & R user interfaces.
Award from Scale AI to speed innovation and use Dash for mission critical, AI-based analytic apps.
Monthly downloads of Plotly open source graphing libraries.
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.
ML & AI apps made with Dash
Dash is the fastest way to deploy Python-based apps for natural language processing (NLP).
Dash is the fastest way to deploy Python-based apps for computer vision.
Dash is the fastest way to deploy Python-based apps for dimensionality reduction.
Dash is the fastest way to deploy Python-based apps for predictive analytics and forecasting.
Use predictive analytics + Dash to put neural networks, nonlinear regressions, decision trees, SVMs, and other forecasting methods in the hands of business users.
Dash is the fastest way to deploy Python-based apps for voice computing.
Deploy Flask APIs to Dash Enterprise that load trained models, accept feature values in POST requests, and responds with predicted values.
Dash Enterprise Features
ML Ops Features
A one-stop shop for ML Ops: Horizontally scalable hosting, deployment, and authentication for your Dash apps. No IT or dev ops required.
Deploy & manage Dash apps without needing IT or a dev ops team. App Manager gives you point & click control over all aspects of your Dash deployments.
Ensure high availability of Dash apps and scale horizontally with Dash Enterprise’s Kubernetes architecture. No IT or Helm required.
No fuss authentication
Control Dash app access in a few clicks. Dash Enterprise supports LDAP, AD, PKI, Okta, SAML, OpenID Connect, OAuth, SSO, and simple email authentication.
Low-code Dash app capabilities that supercharge developer productivity.
Design like a pro without writing a line of CSS. Easily arrange, style, brand, and customize your Dash apps.
Save & share Dash app views as links or PDFs. Or, run a Python job through Dash and have Snapshot Engine email a report when the job is done.
Enterprise AI Features
Everything that your data science team needs to rapidly deliver AI/ML research and business initiatives.
ML & AI template apps
Dash Enterprise ships with dozens of Dash app templates for business problems where AI/ML is having the greatest impact.
Big data for Python
Connect to Python's most popular big data backends: Dask, Databricks, NVIDIA RAPIDS, Snowflake, Postgres, Vaex, and more.
GPU & Dask acceleration
Dash Enterprise puts Python’s most popular HPC stack for GPU and parallel CPU computing in the hands of business users.
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."
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.