BinderHub vs JupyterHub
BinderHub
binderhub.readthedocs.ioJupyterHub
jupyter.orgSide by side
| Figure | BinderHub | JupyterHub |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Notebook Software | 8.1 (#14) | 8.7 (#7) |
| API | The API provides a build-and-launch endpoint, health and version endpoints, Prometheus metrics, and a list of enabled repository providers. | JupyterHub provides a REST API for administration of the Hub, its users, and services. |
| Authentication | BinderHub runs without authentication by default, and its documentation describes enabling authentication through JupyterHub as an OAuth provider. | Authentication is pluggable and supports protocols such as OAuth and GitHub. |
| Purpose | BinderHub lets users create shareable, interactive, reproducible computing environments from code repositories. | JupyterHub gives groups access to computational environments and resources without requiring each user to handle installation and maintenance. |
Plans
In their own words
BinderHub
BinderHub has no write-up on Specifiction yet; its figures are above.
JupyterHub
JupyterHub gives groups access to computational environments without requiring each person to install and maintain one. It creates a separate Jupyter environment for each user, and starts, manages and proxies that user's notebook server. It can serve interfaces such as Jupyter Notebook, JupyterLab, RStudio and nteract, with authentication configured through pluggable options including OAuth and GitHub. Organizations can run it in the cloud or on their own hardware, including virtual machines or a laptop. The Littlest JupyterHub targets a small, single-server setup, while Zero to JupyterHub with Kubernetes is designed for larger cloud deployments and includes a Helm chart and deployment guide. The project describes JupyterHub as container-friendly and Kubernetes-compatible, with capacity for up to tens of thousands of users. Its REST API supports administration of the Hub, users and services. JupyterHub is open-source software released under a modified BSD license and is free to use. It supports Python, R, Julia and Scala, with ipynb notebooks, and is intended for classrooms, research groups and corporate data science teams.