Plotly is based on Tioh’tia:ke, commonly known in English as Montreal Island, in Kanien’ke-há:ka, the “Place of the People of the Flint” (the Kanien’kéha).

Plotly is committed to making the tech industry more accessible to people from different cultures, as well as using and encouraging the use of our technology for anti-racist efforts. For our complete land acknowledgement and resources to learn about settlement and contribute to Indigenous activism, visit our About Us page.

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Write and execute Python code with Dash Enterprise's onboard code editor, 100% in the browser. No downloads or installation required.

DASH ENTERPRISE

Data App Workspaces

100%

Bring Python into your organization at massive scale with Data App Workspaces, a browser-based data science environment for corporate VPCs. Data App Workspaces are an ideal IDE to securely write and run Dash apps, Jupyter notebooks, and Python scripts.

 
With no downloads or installation required, Data App Workspaces make new team members productive from Day 1.

A dream IDE for data science and model development

We spent a year perfecting our ideal data science IDE, building on the Eclipse Foundation's excellent Theia project. The result is a cloud IDE that is purpose built for ML model development, data science, and data visualization, without any compromises. 100% in the browser. No downloads or installation required. Data App Workspaces are an instant data science environment for your VPC.

Our team has been using Jupyter notebooks for over a decade. The creator of Jupyter was Plotly's first advisor, and Plotly was the first corporate sponsor of nteract. We're champions for the Jupyter notebook products and community.

With Data App Workspaces, you can bring Jupyter notebooks into your corporate environment through Dash Enterprises's secure, scalable platform.

To create Dash apps within Jupyter notebooks (e.g. classic Notebook, JupyterLab, Visual Studio Code notebooks, nteract, PyCharm notebooks, etc.), please see Jupyter Dash.

Once you've developed a model in Jupyter notebook, you can build a Dash UI for the model and deploy in to Dash Enterprise, all without leaving your Data App Workspaces. Once deployed, the rest of your company can access and run the model through your Dash app UI.

The Dash app above dynamically bins 42 million records using Python's Vaex library.

Data App Workspaces bring Python scripting and notebooks to the enterprise environment through corporate authentication, a Secrets Manager, and easy installation on Azure, GCP, or AWS.

Each Data App Workspaces runs in its own isolated Docker container for optimum performance, security, and customizability. Managing and scaling these Docker containers is automatic. The Docker architecture allows each Workspace to have its own notebooks, scripts, data files, and package dependencies without affecting other Workspaces or Dash apps running on Dash Enterprise.

Data App Workspaces have a fully functional terminal where you can install new Python or R packages, run shell scripts, and launch Dash apps.

In this screen recording, the user adds Tensorflow to their Workspaces environment through the built-in terminal, then launches a Dash app.

Data App Workspaces support first-rate autocompletion, so you can spend less time referencing documentation and debugging typos.

Data App Workspaces already ships with dozens of plugins to optimize your development experience, and we're adding more each month. Plugins already enabled include:

Viewing CSV or Excel files in an editable table

Most VSCode plugins will work with Data App Workspaces. Get in touch if there is a plugin that you'd like to see!

Workspaces run on servers in your corporate network enabling data scientists access to network-secured data stores and APIs. Run multiple Dash Enterprise platforms in different networks to give finer grained control to networked data stores without compromising security and without expanding network access to individual laptops.

Data science packages, database drivers, and production-grade Dash apps run best on Linux. Data App Workspaces run in secure, isolated Linux-based containers that is accessible in an IDE in the web browser. This means that you can continue to run Windows on your workstation while writing code on a Linux operating system via your browser.

With deployed Dash Applications running the same operating system as Workspaces, you'll spend less time reconciling the differences between production and development.

Every developer has struggled with reconciling the differences between a development environment and their production environment. Subtle differences between networking, operating systems, Python packages, database drivers, virtual environments, CPU & memory and more cause a myriad of difficult-to-debug issues when bringing your application into production. Further, many data scientists's development environments differ from one another causing friction when sharing apps and projects among a team.

In Data App Workspaces, the Docker-based development environment is run on the same network and inside identical Docker containers as deployed applications. All of the Dash Enterprise features like Job Queues, Onboard Redis and Postgres Databases, PDF Reporting, and Low-Code packages are available. You'll never run into issues where an app works in development but fails in production.

Creating a Jupyter notebook in Data App Workspaces

Watch how a Jupyter notebook with Plotly Express charts in created in Data App Workspaces.

Creating a Dash app in Data App Workspaces

Watch how a Dash app is created & deployed in Data App Workspaces.

Write and execute data science code within secure Docker containers.

Develop data science, AI, and ML algorithms in Jupyter notebooks.

Develop & deploy Dash apps from start to finish, entirely on Dash Enterprise.

Upskill Python beginners quickly by not requiring a desktop IDE.

Sign up for a live demo to learn more about our Dash Enterprise offering.

JOIN THE THOUSANDS OF INNOVATORS THAT ARE ALREADY BUILDING WITH DASH ENTERPRISE.

Plotly Professional Services are experts in delivering future-proof data apps. From custom development to workshops, they can support your analytics needs.

Consulting, Training & Open-Source Development

Access a curated selection of user stories, white papers, and how-to guides from data science experts and industry leaders. Start your data app journey today.

Combined with Python, Plotly Dash delivers interactive, customizable data apps. Explore examples in a wide range of industries and advanced analytic needs.

Have a question about Plotly or want to know how to get started with Dash? Share feedback in this form, and a member of the our team will get in touch soon.

Have a question about Plotly or want to know how to get started with Dash Enterprise? Fill out this form, and a member of the our team will get in touch soon.

Go from data exploration to actionable insight faster. Schedule a demo to learn how Dash Enterprise enables powerful, customizable, interactive data apps.

Compare the differences between Dash Open Source and Dash Enterprise. Start deploying unlimited Dash apps for unlimited end-users. Request a custom price-quote.

Plotly's company culture focuses on autonomy, trust, and data. Join the remote-first team pioneering analytic innovation and leading the data app industry.

Headquartered in Montreal with a remote-first team, Plotly is dedicated to ensuring that every organization uses Dash Enterprise to build data applications.

As a category-defining leader in enabling data-driven decisions, Plotly is frequently featured in the news. Explore recent articles, podcasts, and blog posts.

Dash is a framework for building data apps in Python. Dash Enterprise simplifies the development and deployment process in a secure, scalable environment.

Plotly: The front end for ML and data science models

Dash is the solution for operationalizing your AI/ML initiatives, with GPT-3, Hugging Face Transformers, UMAP, and YOLOv3. Check out latest Dash-AI projects.

Dash is the fastest way to deploy front-ends for ML backends such as PyTorch, Keras, and TensorFlow. To accelerate Dash Bio adoption among businesses, Dash Enterprise ships with dozens of Life Science templates that can be easily customized for your own data.

Learn how low-code UI layers like Dash, Shiny, Streamlit, and Bokeh compare in web protocol, architecture, user experience, licensing, deployment, and more.

How do Dash, Shiny, Streamlit, and Bokeh compare?

Compare Dash Enterprise, Tableau, Power BI, and Einstein Analytics. See the differences in deployment process, ease of use, security, support, and more.

Dash Enterprise for Python vs Common BI Software

Please see more details on Plotly's privacy policy, including information collected, security, retention, international visitors, and third-party services.

Plotly is the easiest way to graph and share your data.

Plotly Open Source Graphing Libraries |  | Plotly

Learn how Dash, Shiny, and Streamlit compare as low-code UI layers for data apps. See the differences in architecture, deployment, user experience, and more.

How do Dash, Shiny, and Streamlit compare?

Compare Dash Enterprise, RStudio Connect, Anaconda Enterprise, and Streamlit for Teams as deployment platforms. See differences in authentication and licensing.

How do Dash Enterprise, RStudio Connect, Anaconda Enterprise, and Streamlit for Teams compare?

Dash apps go where Tableau and PowerBI cannot... NLP, object detection, predictive analytics, and more. With 0.5M+ downloads/month, Dash is the new standard for AI &amp; data science apps.

Access a GUI for easy and secure authentication. With App Manager from Dash Enterprise, choose from LDAP, AD, PingFederate, Okta, SAML, SSO, and more.

Use Plotly's Dash web app framework and Databricks (DB SQL, Jobs API, databricks-dash) to create at-scale, interactive, customizable data apps.

Dash Enterprise supports turnkey connections to popular backends in Python – Vaex, Dask, Datashader, RAPIDS, Databricks (PySpark), Snowflake, and Postgres.

Python is one of the best tools for data scientists in analyzing & developing models. Here are some resources to help you say goodbye to Excel, and hello to Dash.

With Persistent Filesystems, simplify your data science workflow and avoid network delays. Large data can be uploaded, updated, and cached in Dash Enterprise.

Dash Enterprise installs via automated scripts. Get started with Dash Enterprise on Google Kubernetes Engine (GKE).

Learn how to adapt your Dash app with Dask to use Coiled in the back end. Using the integration can enable scaling across parallel computing clusters.

Connect Dash directly to Snowfake, a data warehouse offered by Amazon Web Services. Dash offers an ideal frontend to interact with real-time AI/ML processes.

After installing Dash Enterprise in one of the below environments, you will be asked for a license key to activate the software and begin deploying Dash apps.

Dash Enterprise installs via automated scripts. Get started with Dash Enterprise on Microsoft Azure Kubernetes Service (AKS).

Deploy, manage, and share data apps. | With the App Manager from Dash Enterprise, ensure a standard, well-documented, and reproducible workflow.

Dash Enterprise ships with turnkey support for horizontally scalable Dask clusters, putting Python's most popular HPC stack in the hands of business users.

Easily style and customize data apps with Design Kit, a low-code framework from Dash Enterprise. Production ready — no JavaScript, HTML, or CSS required.

Dash Enterprise installs via automated scripts. Get started with Dash Enterprise on Amazon Elastic Kubernetes Service (Amazon EKS).

The stateless design of Dash app servers enables horizontal scaling on modern infrastructure like Kubernetes with top clouds like AWS, Azure, and GCP.

Continuous integration (CI) and continuous deployment (CD) integrates naturally with Dash Enterprise's modern, git-based deployment workflow. Dash Enterprise ships with everything you need to make the most of your CI/CD platform for Dash app deployment: templates for automated QA, pre-production app review, git-based version control, and more.

Provide data app end users with a powerful, drag-and-drop UI. Dashboard Engine from Dash Enterprise is Python ETL meeds BI — no callbacks or layout required.

Workspaces is an onboard code editor from Dash Enterprise. Easily write and execute code for data apps. No additional downloads or installation needed.

Dash Enterprise Job Queue makes background jobs seamless and scalable in Python. Easily offload CPU-intensive tasks and improve data app performance.

With Dash, access a library of AI/ML templates that work seamlessly with back ends like PyTorch, Keras, and TensorFlow. Easily operationalize Python models.

Dash Enterprise Embedding Middleware enables seamless embedding without the use of iframes. It also offers single sign-on for easy authentication that scales.

Create, annotate, archive, and share views of your Dash apps. With only a few lines of code, Snapshot Engine schedules tasks and auto-generates reports.

Dash is the fastest way to deploy front-ends for ML backends such as PyTorch, Keras, and TensorFlow. To accelerate AI adoption among businesses, Dash Enterprise ships with dozens of ML &amp; AI templates that can be easily customized for your own data.

Leverage Plotly's library of recorded webinars to learn data analytics tips, industry best practices, and application use cases from data analytics experts.

Learn how Université de Sherbrooke uses Plotly to develop new analytical tools to explore and visualize genetic structures at the school's CoBIUS Lab.

Plotly & Université de Sherbrooke to develop genomic visualization

Plotly receives the Canadian SME award for Top Place to Work and Business of the Year for driving product innovation and employee professional development.

Canadian SME National Business Awards selects Plotly

Dash DAQ provides Python users the means to create interactive virtual control panels on their computers that interface with common lab instruments.

Scale AI contributed a grant to Plotly in 2020 to speed innovation in supply chain AI for several Canadian companies, such as Hydro-Québec and Dex Clothing.

Dash Enterprise 5.0 is built on Kubernetes architecture, providing low-code capabilities for data scientists and drag-and-drop custom views for business users.

Data App Workspaces

About Data App Workspaces

A dream IDE for data science and model development

Creating a Jupyter notebook in Data App Workspaces

Creating a Dash app in Data App Workspaces

Bring Python into your Enterprise.

Write Code

Develop Algorithms

Deploy Dash Apps

Upskill Quickly

JOIN THE THOUSANDS OF INNOVATORS THAT ARE ALREADY BUILDING WITH DASH ENTERPRISE.