
BinderHub
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| Fact | BinderHub | JupyterLab |
|---|---|---|
| API | The API provides a build-and-launch endpoint, health and version endpoints, Prometheus metrics, and a list of enabled repository providers. | A public API is documented for building npm-based JupyterLab extensions and application components. |
| Installation | BinderHub is based on Python 3 and can be installed from its GitHub repository with pip; its setup guide assumes experience with JupyterHub on Kubernetes. | The official installation page provides pip installation and also points users to conda, mamba and Homebrew options. |
| Intended users | The project identifies users, authors sharing interactive environments, and deployers running their own BinderHub as intended audiences. | JupyterLab is focused on interactive, exploratory computing and is suited to workflows such as data science, scientific computing, computational journalism, and machine learning. |
| Purpose | BinderHub lets users create shareable, interactive, reproducible computing environments from code repositories. | JupyterLab is a web-based interactive development environment for notebooks, code, and data. |
BinderHub suits authors who want to share interactive environments from repositories, users who need those sessions, and operators able to run the deployment infrastructure. Its setup guide assumes experience with JupyterHub on Kubernetes.
JupyterLab suits people working in interactive, exploratory computing, including data science, scientific computing, computational journalism, and machine learning. It is designed for users comfortable installing and managing software locally.