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SAS Viya Workbench | SAS

Get on-demand computing power and self-service flexibility for fast SAS, Python or R coding.

• Speed & simplicity

  Build powerful models quickly and efficiently through the code-based environment. An intuitive user interface and integrations with your favorite IDEs get you up and running in minutes. Streamline your work by pulling in existing SAS, Python or R projects – with minimal to no code modification needed.

• Customization & efficiency

  Boost productivity and performance by customizing your CPU/GPU compute power to fit the needs of your project. Develop on demand with self-provisioning and self-terminating features, requiring minimal IT support.

• AI innovation & APIs

  Focus on creating, innovating, iterating and testing your work through a code-based interface using Jupyter Notebook/JupyterLab and Visual Studio Code. Accelerate the development of high-performance models by tapping into the latest SAS PROCS, Python APIs and R Runtime. Use state-of-the-art Python libraries.

Use the latest Python APIs for retrieval, parsing, updating & data manipulation.

Code from scratch or use existing Python or R code with minimal modifications.

Enjoy the ease of working in a familiar interface that boosts your productivity.

Effortlessly update and back up your work whenever you need for peace of mind.

• Spin up a Viya Workbench session in the cloud in seconds.
• Configure server size to match your workload requirements, choosing your cores, memory and GPUs.
• Minimize cloud computing costs with self-terminating sessions that resume automatically where you left off.
• Take advantage of fast point-and-click self-provisioning that requires minimal IT support.

• There's minimal to no learning curve for SAS, Python and R users.
• Choose your favorite coding language (SAS, Python or R) and IDE (VS Code or Jupyter Notebook).
• Create new projects or use existing ones.
• Develop from the ground up or import existing SAS, Python or R code.
• Collaborate using GIT for distributed version control, backups and archiving.
• Save your model score code as executable modules for easy production use.

• Build cutting-edge analytic, AI and machine learning models quickly and consistently. 
• Optimize your development process, including data preparation, exploration, advanced analytics and AI/ML modeling.
• Incorporate best-in-class, highly performant SAS analytical capabilities and procedures.
• Use the latest Python APIs, enabling retrieval, parsing, updating and data manipulation.

A major advantage to SAS Viya Workbench is the flexibility it provides for my coding experience. Whether I’m creating a web app, testing an API, creating a machine learning pipeline or exploring some big data stored in the cloud, it allows me to select the right machine and IDE for each of those jobs." Matt Systems Engineer

There is essentially no learning curve. And as a developer, I could easily get started with just using the Viya models in Python without having to read up on the documentation." Karthik Python Developer

I can use Matplotlib. I can use Seaborn. I can access the SAS Synthetic Data Generator API capability through a Python API. I use all the functions that, as a developer, I've been learning since I started Python. I like that I can jump in and be productive because I have all of the packages I need and want." Yi Jian Solutions Architect

Developers, when you hit a wall, you hit it hard. And it’s often the same five obstacles getting in the way of productivity over and over again. Do these issues sound familiar?

Tune in to webinars that showcase how Viya Workbench can revolutionize your development and modeling processes.

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