JuliaHub vs JupyterLab
JuliaHub
juliahub.com
JupyterLab
jupyter.orgSide by side
| Figure | JuliaHub | JupyterLab |
|---|---|---|
| Price from | — | Free |
| Free plan | — | Yes |
| Free trial | — | — |
| Open source | — | Yes |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | — | Yes |
| Linux | Yes | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 1 |
| Spec score · Coding Playgrounds | 7.8 (#75) | 9.1 (#9) |
| Collaboration | Projects supports collaboration on code, data, notebooks, packages, and resources, with Git-based change tracking and group-based permissions. | Real-time collaboration can be activated by installing the jupyter_collaboration extension. |
| Notebooks | Pluto notebooks run in the cloud and provide reactive cells, web components, and GUI elements bound to Julia variables. | JupyterLab supports the .ipynb notebook format used by classic Jupyter Notebook. |
| Purpose | JuliaHub is a cloud platform for Julia development, high-performance computing, reproducible workflows, and scalable scientific AI applications. | JupyterLab is a web-based interactive development environment for notebooks, code, and data. |
| Security | JuliaHub's trust portal lists CCPA, GDPR, SOC 2, and SOC 3 materials, including a featured SOC 3 report; access to some documentation can be requested. | JavaScript and HTML outputs in notebooks created on other machines are sanitized and not displayed until the notebook is trusted. |
Plans
JuliaHub
- Enterprise subscriptionPriced on request
- Standard subscriptionPriced on request
- Team subscriptionPriced on request
In their own words
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.