BinderHub vs JupyterLab
BinderHub
binderhub.readthedocs.io
JupyterLab
jupyter.orgSide by side
| Figure | BinderHub | JupyterLab |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Notebook Software | 8.1 (#14) | 8.8 (#4) |
| 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. |
Plans
In their own words
BinderHub
BinderHub has no write-up on Specifiction yet; its figures are above.
JupyterLab
JupyterLab is a web-based environment for interactive work with notebooks, code and data. Its workspace brings notebooks, text editors, terminals and custom components together in tabs and splitters. Code consoles act as scratchpads, and kernel-backed documents can run code in files such as Markdown, Python, R and LaTeX. It supports the .ipynb format used by classic Jupyter Notebook, and can view and edit formats including Markdown, images, CSV, JSON, HTML, LaTeX and PDF. Visualization libraries include matplotlib and Plotly; interactive plots or widgets may require additional packages. Extensions can add themes, viewers, editors, output renderers and interface controls, but can execute code in the browser, server and kernel, so only trusted extensions are advised. Real-time collaboration can be enabled with jupyter_collaboration. JavaScript and HTML outputs from notebooks created elsewhere remain hidden until the notebook is trusted. JupyterLab is free, open-source software under a modified BSD license, installed with pip or via a Homebrew command for macOS and Linux. It runs on Linux, macOS, the web and self-hosted systems.