Dash is the most downloaded, trusted framework for building ML & data science web apps.
Dash empowers teams to build data science and ML apps that put the power of Python, R, and Julia in the hands of business users. Full stack apps that would typically require a front-end, backend, and dev ops team can now be built and deployed in hours by data scientists with Dash.
Dash Open Source
Plotly stewards Python's leading data viz and UI libraries.
With Dash Open Source, Dash apps run on your local laptop or workstation, but cannot be easily accessed by others in your organization.
Scale up with Dash Enterprise when your Dash app is ready for department or company-wide consumption. Or, launch your initiative with Dash Enterprise from the start to unlock developer productivity gains and hands-on acceleration from Plotly's team.
Click below to install Dash Open Source:
Kubernetes platform for rapid Dash app deployment.
Dash Enterprise helps businesses operationalize data science, AI, and ML models. It’s everything you need to deliver your AI or ML initiative at scale.
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 of aspects 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.
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.
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.
See Dash in action.
Machine Learning Dashboard.
This object-detection app provides useful visualizations about what's happening inside a complex video in real time. The data is generated using MobileNet v1 in Tensorflow, trained on the COCO dataset. The video is displayed using the community-maintained video component.
Oil & Gas dashboard.
This Dash app displays oil production in western New York. Filters at the top of the app update the graphs below. Selecting or hovering over data in one plot will update the other plots ('cross-filtering'). Dash apps are powered by Plotly.js, a fully featured charting library including maps like these, financial charts, scientific graphs, and more.
This app, created for noncompartmental pharmacokinetics, is typically used to analyze data from small animal studies during the lead optimization phase of drug discovery. These studies are used to help predict human dosing and plan safety studies.
Financial Reporting dashboard.
These customized and interactive reports enables your end users to mine relevant insights by interacting with and exploring your data content.
Reports built with Dash, benefit from further out of the box interactive functionality, such as adding dropdown or a search box elements.
“Dash has expanded S&P Global's Market Intelligence capabilities to extend insights to our clients efficiently using highly interactive, scientific Dash visualizations.”
Deploy unlimited Dash apps for unlimited Dash app users
Dash Cloud for Teams
Lowest cost option for SMBs and start-ups. Please inquire for pricing.Contact Sales
Dash Enterprise Cloud
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.