What’s new in Dash Enterprise 5.6
- Accelerate data app development with AI-powered tools, a powerful data explorer, and embedding capabilities in App Studio.
- Stop, restart, and park Dash Enterprise instances to optimize resources and reduce costs. Experience real-time app monitoring and access to more data sources.
- Open source Plotly and Dash libraries get universal dataframe support, enhanced Typed Arrays for faster chart rendering, and added support for anywidget to create interactive plugins.
Watch the Dash Enterprise 5.6 launch.
Build production-grade data apps in pure Python
Dash Enterprise empowers data teams to build sophisticated analytical applications using Python without requiring front-end development expertise. You can customize data app development with familiar Python syntax, over 50 chart types, and direct integration with major data back ends.
Through Dash Enterprise, experience faster and simpler data app development with AI for natural language data analysis and visualization, Dash Enterprise CLI, and aesthetic app themes.
With features like one-click deployment and automated CI/CD pipelines, the platform ensures smooth production roll-out. Data professionals are empowered to maintain robust security through multiple authentication methods including LDAP, SAML, and SSO.
Code, click, or chat
Plotly's AI-enhanced App Studio helps you quickly build production-grade data applications through multiple development approaches: code mode, UI mode, and an AI-assisted development mode.
Conduct advanced data analysis with natural language prompts and auto-generated Python code through Plotly AI. Now, building apps is accessible to both experienced developers and newcomers.
With enterprise-level deployment features including one-click deployment, cloud platform scalability, and application embedding options, the platform eases the process of sharing and scaling data applications across organizations.
AI-powered app development makes creation fun — without a line of CSS or HTML. You can also add AI to your own app with features like Smart Insights and a chat interface builder, while maintaining full access to the underlying Python code for maximum flexibility.
Drive significant cost savings
Dash Enterprise significantly reduces development costs by enabling a single data analyst to accomplish what traditionally requires a full team of specialized engineers.
The platform dramatically accelerates development cycles, reducing update times from days to minutes while eliminating the need for multiple meetings and coordination.
It gives your team a way to handle complex enterprise settings automatically, including authentication, job queues, database caching, and automated reporting, without requiring expertise in JavaScript, HTML, or CSS.
Dash Enterprise includes built-in DevOps capabilities for deployment and scaling, offering your organization a way to save engineering costs that would typically be needed for building and maintaining these capabilities.
Dash Open Source Framework
Plotly stewards Python's leading data viz and UI libraries.
With Dash Open Source, you can create data apps on your laptop in pure Python, no JavaScript required.
Get familiar with Dash by building a sample app with open source. 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:
Dash Enterprise Platform
Reliable and scalable platform for rapid Dash app deployment.
Dash Enterprise is the trusted, purpose-built platform for using Dash within a business. The platform provides deployment, rapid development environments, and authentication out of the box. On the development side, a set of low-code libraries vastly extend the capabilities and simplify the development of creating Dash apps.
Plotly App Studio
Leverage your existing Python scripts and notebooks to create Dash apps seamlessly. Use the visual editor to make layout changes in minutes.
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Chatbot Builder
Add a layer of AI intelligence and give data app users additional insight from external data sources.
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Data App Workspaces
Create Dash apps and Jupyter notebooks in Dash Enterprise's code editor. Data App Workspaces bring data science to orgs that can't have Python on PCs.
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Design Kit
Design like a pro without writing a line of CSS. Easily arrange, style, brand, and customize your Dash apps.
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Report Engine
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.
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Centralized Deployment
Unify your app development and deployment experience with Dash Enterprise. Deploy your Streamlit, Django, and Dash apps in a unified platform.
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App Manager
Deploy & manage Dash apps without needing IT or a DevOps team. App Manager gives you point-and-click control over all of aspects of your Dash deployments.
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Job Queue
The Job Queue is the key to building scalable Dash apps. Move heavy computation from synchronous Dash callbacks to the Job Queue for asynchronous background processing.
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Embedding
Embed Dash in existing web apps or products like Salesforce reports. Dash app embedding is the fastest way to add AI to any product or platform.
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Persistent Filesystem
Upload, update, and cache large data with a drag-and-drop interface in your browser. Ensure a seamless workflow while avoiding network delays.
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Database Integration
Python has production-grade libraries to connect to any database, making it simple for Dash apps deployed to Dash Enterprise to read and write database data.
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Easy Installation
Dash Enterprise installs in less than 30 minutes on AWS, Azure, and GCP (on a single Linux VM). For high security environments, Dash Enterprise can also install on-premises without connection to the public Internet.
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CI/CD
Dash Enterprise’s git deployment integrates with Continuous Integration for automated QA and pass/fail tests.
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Authentication Middleware
Control Dash app access in a few clicks. Dash Enterprise supports LDAP, AD, PKI, Okta, SAML, OAuth, SSO, and simple email authentication.
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Databricks Integration
Dash Enterprise is the only platform for building analytics apps on top of Databricks. Elevate Databricks workflows to business users through point-and-click Dash apps deployed on Dash Enterprise.
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Award-Winning Customer Support
Access comprehensive support, guided installation, enablement sessions, and more with Dash Enterprise. Learn how Plotly's Customer Success team enables faster decision-making with expert assistance, from development to deployment.
Dash Apps Built with Dash Enterprise
Dash provides a friendly Python interface for creating flexible, interactive, and customizable apps that connect directly to your analytics code.
Machine Learning app
- 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 with cross filtering. Dash apps are powered by Plotly’s popular open source graphing library featuring maps like these, financial charts, scientific graphs, and more.
Pharmacokinetics app
- This app, created for non-compartmental 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 report
- Dash Enterprise provides a framework for creating structured PDF reports in Python. A Dash app can have a web interface as well as a PDF download. Use Dash to automate reporting at scale.
“Dash Enterprise has expanded S&P Global’s Market Intelligence capabilities to extend insights to our clients efficiently using highly interactive, customizable Dash data apps.”
Moody Hadi
Development, S&P Global
"Best dashboard framework for Python, but it's way more than that. It's React right in Python."
Sean McCarthy
Chief Data Scientist at IJACK
"Python & Dash. It would be hard to find a better toolkit for Data Science."
Mid-market Utilities Company
"Dash has enabled the project to evolve at a high cadence. It has allowed us to prove concepts and provide users with effective solutions in a very short time."
Software Development Consultant
Medium Enterprise Technology Hardware, Storage & Peripherals Company
"[Dash] saves the traditional engineering team 30+ minutes, equating to 10+ hours per week."
Sr. Product Engineer / Software Engineer
Large Enterprise Semiconductors & Semiconductor Equipment Company
"[Dash is] my default tool for building dashboards. The main impact is that a single analyst can quickly put together interactive tools, which allow them or others to quickly catch patterns or inconsistencies in the data."
Director of Data Analytics
Medium Enterprise Biotechnology Company
