Cloud-agnostic data science platform with environment management, role-based-access control, and curated app integrations for application deployment, scalability, monitoring, and more.

New robust core infrastructure layer for platform deployment on popular cloud providers. Security, authentication, role-based access, and observability built-in by design.

Tools to manage, share, and collaborate on AI software lifecycle across your team. Includes future plans for SBoM generation and compliance checking.

Multiple UI options available: Jupyter/VSCode for developers, chat & dashboard interfaces for AI users, and more.

Serve and monitor different AI models for your development workflow or production applications.

Frameworks for building, deploying, evaluating, and monitoring AI agent-based workflows.

Tools for building data engineering pipelines, and governance and provenance of data & AI assets.

All Nebari projects are developed on an open and extensible architecture, that allows for quick integration of any libraries you need.

A space for community members to share their custom packs.

All projects are developed under an open source license, and built using open source software.

All projects welcome community contributions and engagement on various project spaces and community meetings.

All projects have a modular design and integrate with each other, while also allowing for independent use and extensibility.