Onyxia: A User-Centric Interface for Data Scientists in the Cloud Age
Introduction
The team from INSEE presents Onyxia, an open-source, Kubernetes-based platform designed to offer flexible, collaborative, and powerful cloud environments for data scientists.
Rethinking Data Science Infrastructure
Traditional local development faces issues like configuration divergence, data duplication, and limited compute resources. Onyxia solves these by offering isolated namespaces, integrated object storage, and a seamless user interface that abstracts Kubernetes and S3 complexities.
Versatile Deployment
With a few clicks, users can launch preconfigured environments — including Jupyter notebooks, VS Code, Postgres, and MLflow — empowering fast innovation without heavy IT overhead. Organizations can extend Onyxia by adding custom services, ensuring future-proof, evolvable data labs.
Success Stories
Adopted across French universities and research labs, Onyxia enables students and professionals alike to work in secure, scalable, and fully-featured environments without managing infrastructure manually.
Conclusion
Onyxia democratizes access to powerful cloud tools for data scientists, streamlining collaboration and fostering innovation.