Big Data for Pything Connect to Python's most popular big data back ends: Dask, Databricks, NVIDIA RAPIDS, Snowflake, Postgres, Vaex, and more.AI App Marketplace Dash Enterprise ships with dozens of Dash app templates for business problems where AI/ML is having the greatest impact.Embedding Natively embed Dash apps in an existing web application or website without the use of IFrames.Įnterprise AI Features: Everything that your data science team needs to rapidly deliver AI/ML research and business initiatives. Dashboard Toolkit Drag & drop layouts, chart editing, and crossfilter for your Dash apps.Or, run a Python job through Dash and have Snapshot Engine email a report when the job is done. Snapshot Engine Save & share Dash app views as links or PDFs.Easily arrange, style, brand, and customize your Dash apps. Design Kit Design like a pro without writing a line of CSS.Low-Code Features: Low-code Dash app capabilities that supercharge developer productivity. Move heavy computation from synchronous Dash callbacks to the Job Queue for asynchronous background processing. Job Queue The Job Queue is the key to building scalable Dash apps.Dash Enterprise supports LDAP, AD, PKI, Okta, SAML, OpenID Connect, OAuth, SSO, and simple email authentication. No code auth Control Dash app access in a few clicks.Kubernetes scaling Ensure high availability of Dash apps and scale horizontally with Dash Enterprise’s Kubernetes architecture.App Manager gives you point & click control over all aspects of your Dash deployments. App manager Deploy & manage Dash apps without needing IT or a DevOps team.ML Ops Features: A one-stop shop for ML Ops: Horizontally scalable hosting, deployment, and authentication for your Dash apps. Or, launch your initiative with Dash Enterprise from the start to unlock developer productivity gains and hands-on acceleration from Plotly's team. Scale up with Dash Enterprise when your Dash app is ready for department or company-wide consumption. With Dash Open Source, Dash apps run on your local laptop or workstation, but cannot be easily accessed by others in your organization. To learn more about Dash, read the extensive announcement letter or jump in with the user guide. Here's a Dash App that's styled to look like a PDF report. You have full control over the look and feel of your applications. About 50 chart types are supported, including maps.ĭash isn't just for dashboards. This app was composed in just 160 lines of code, all of which were Python.ĭash uses Plotly.js for charting. Here’s an example with 5 inputs, 3 outputs, and cross filtering. This app was written in just 43 lines of code ( view the source).ĭash app code is declarative and reactive, which makes it easy to build complex apps that contain many interactive elements. As the user selects a value in the Dropdown, the application code dynamically exports data from Google Finance into a Pandas DataFrame. Here’s a simple example of a Dash App that ties a Dropdown to a Plotly Graph. Read our tutorial (proudly crafted ❤️ with Dash itself).ĭocs: Create your first Dash app in under 5 minutesĭash.gallery: Dash app gallery with Python & R code Dash is the most downloaded, trusted Python framework for building ML & data science web apps.īuilt on top of Plotly.js, React and Flask, Dash ties modern UI elements like dropdowns, sliders, and graphs directly to your analytical Python code.
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