SAS^® Viya^® Workbench

Ready to accelerate your AI development?

Build transformative analytic, machine learning and AI models more efficiently – no learning curve, no downtime – in a coding environment made for developers and modelers.

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SAS Viya Workbench

Get on-demand computing power and self-service flexibility for fast SAS or Python 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 Python or SAS 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 and Python APIs within Viya Workbench. Use state-of-the-art Python libraries, unique to Viya Workbench.

Python developers: Drive faster, smarter AI innovation

Update, back up & reuse existing Python code & the latest Python API integration

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

Code from scratch or use existing 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.

Empowering developers & data scientists with freedom, flexibility & cutting-edge analytics

Develop models quickly & more cost-effectively

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.

Boost the productivity of both SAS & Python developers

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

Access industry-leading analytics from a company you can trust

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.

What users are saying about Viya Workbench

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

In the spotlight

Five reasons developers hit a productivity wall – and what to do about it

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?

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