Domino is an open enterprise platform for data science, machine learning, and AI research. It works with an expansive list of industry leading tools and technologies to enrich data science research, development, and deployment processes. Domino works with a wide range of data sources, languages, IDEs, tools, libraries, and publication targets, including:
Certified partners who have worked with Domino to integrate and verify their tools.
Other third-party tools and technologies known to work with Domino.
Access to other tools and technologies through code-first APIs or connections.
The catalog lists the integrations alphabetically and groups them according to the categories shown in the diagram.
Contact Domino Support if something is missing because we’re always adding new integrations and want to hear what’s top of mind for data scientists.
Domino is an open platform for data science which integrates various languages, IDEs, data sources, and tools in one place.
Domino pre-builds compute environments with partner technologies to make it easy for you to use the tools you want in your Domino installation. We build, test, and security scan the environments. Domino updates them periodically to keep the libraries and tools near their latest stable versions.
This topic includes a catalog of the environments. These can be pulled into any Domino installation which has access to quay.io. The URL provides the repo access to pull the image from and the linked documentation provides details on configuring those environments.
RStudio comes standard in the Domino Analytics Distribution
Jupyter and JupyterLab come standard in the Domino Analytics Distribution
Domino distributes a base MATLAB environment image which you can add as a Workspace
Use your SAS Viya Data Science Studio in Domino. Learn how to create a SAS Workspace Environment
Add Miniconda to Domino environments and specify a local mirror. See Anaconda on Domino for legal considerations.
With Domino you can export a model endpoint that is compatible with AWS Sagemaker. See What Is Amazon SageMaker? for how to publish.
If you are a partner interested in certifying your solution in Domino, contact email@example.com.