JupyterLab vs OpenVSCode Server
JupyterLab
jupyter.orgOpenVSCode Server
github.comSide by side
| Figure | JupyterLab | OpenVSCode Server |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | — |
| macOS | Yes | — |
| Linux | Yes | Yes |
| API | Yes | — |
| Self-hosted | Yes | Yes |
| Plans published | 1 | 1 |
| Spec score · Coding Playgrounds | 9.1 (#9) | 7.6 (#96) |
| Deployment | JupyterLab can be installed with pip, and the installation page also gives a Homebrew command for macOS and Linux. | The README documents running the server with Docker or downloading and running a Linux release. |
| Latest release | JupyterLab 4.6.4 was released on September 21, 2026 with security fixes and bug fixes. | The release page opened during research identifies OpenVSCode Server v1.109.5 as the latest release. |
| License | JupyterLab source code is released under the revised BSD license, commonly identified as BSD-3-Clause. | The repository identifies its license as MIT. |
| Purpose | JupyterLab is a web-based interactive development environment for notebooks, code, and data. | OpenVSCode Server runs upstream VS Code on a remote machine and makes it accessible through a modern web browser. |
| Security | JavaScript and HTML outputs in notebooks created on other machines are sanitized and not displayed until the notebook is trusted. | The Web UI can be accessed without authentication; basic token authentication can be configured with a connection token or token file. |
Plans
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.
OpenVSCode Server
OpenVSCode Server has no write-up on Specifiction yet; its figures are above.