Welcome to the PrimeHub Community Edition repository, PrimeHub is an effortless infrastructure for machine learning built on the top of Kubernetes. It provides cluster-computing, one-click research environments, easy dataset loading, and management of various resources and access-control. All of these are designed from a project/team-centric concept.
In terms of PrimeHub CE, it provides a few fundamental features from Enterprise Edition↗.
To IT leaders, PrimeHub gives flexibility and administration authority to configure resources and settings for their teams, as well as to pave the way and manage productionized workloads.
To Data scientists, PrimeHub provides Jupyter Notebook-ready environment which is just few-clicks away.
This community repository contains a Helm Chart for PrimeHub CE and a guide on how to install PrimeHub CE with Helm.
| Edition | Launch link |
|---|---|
| Community Edition |  |
| Enterprise Edition | |
- Opinionated JupyterHub distribution
- Group & user based resource management
- Instance, image & secret management
- Support different types of dataset
- Dataset uploader
- SSH server (allow access into JupyterHub via ssh remotely)
Please see the comparison.
Please see the installation guide↗.
We welcome contributions. See the Set up dev environment and the Contributing guildline to get started.
PrimeHub CE is released alongside PrimeHub EE. The project has been developed steadily. We keep improving PrimeHub's robustness, enhancing user experience and are releasing more features with the community. Suggestions and discussions are always welcome and appreciated.
PrimeHub is built on top of well-designed distributed systems. We use Kubernetes as the orchestration platform and utilize its resource management and fault-tolerance abilities.
You can read more about the designs & concepts of PrimeHub ↗ or visit our documentation↗ site to learn more about PrimeHub.