jupyter-lsp
Multi-Language Server WebSocket proxy for Jupyter Notebook/Lab server
Decision gist · record as of 2026-08-14
Yes, if you use Jupyter Notebook or JupyterLab and want IDE-like code intelligence features. Install friction is low, maintenance is active, and the permissive BSD-3-Clause license poses no restrictions. The only gotcha is that you must install language servers separately—jupyter-lsp is the proxy layer only. No known security vulnerabilities.AI-flagged interpretation of the facts on this page — verify before relying
Before you install
- Requires Python 3.8 or later; language servers must be installed separately—jupyter-lsp provides only the proxy infrastructure, not the servers themselves.
- Low friction install with only two runtime dependencies (jupyter_server and importlib_metadata).
- Actively maintained with recent releases and a stable repository.
License · maintenance · safety
BSD-3-Clause (permissive) — BSD-3-Clause permissive license allows commercial and private use with minimal restrictions; suitable for most projects.
last release 2026-04-02 (134 days) · last repo commit 2026-06-21 · 2,000 stars
0 known vulnerabilities (OSV.dev, 2026-08-14) · 38,916,606 downloads/mo, #705 on PyPI
Alternatives
Verify before relying
pip install jupyter-lsp
Import and configure in your Jupyter environment after installing a separate language server. jupyter-lsp detects and proxies it automatically.- Which language servers are supported and how to install them alongside jupyter-lsp
- Whether language server auto-discovery works across all common installation methods
- Performance impact of the WebSocket proxy on notebook responsiveness with concurrent requests
What it is and what it does
jupyter-lsp is a WebSocket proxy that connects Language Server Protocol servers to Jupyter Notebook and JupyterLab, bridging the gap between standalone language servers and Jupyter's web-based editor. It does not include any language servers itself; instead, it detects and proxies language servers you install separately to provide real-time code features like autocompletion, diagnostics, hover information, and refactoring hints directly in the notebook cell editor.
The package runs as a Jupyter server extension and handles the WebSocket communication layer transparently. It is designed to work with JupyterLab through the companion jupyterlab-lsp client extension, and supports Jupyter Notebook as well. Since its first release in 2019, it has become a standard way to add IDE-like language features to Jupyter environments without modifying the notebook format or core server.
Use it for
- Add code completion and linting to Jupyter notebooks by installing a language server alongside jupyter-lsp
- Enable multi-language support in JupyterLab notebooks by proxying their respective language servers
- Provide real-time error diagnostics and inline documentation in notebook cells for faster debugging
- Integrate Jupyter into a development workflow where developers expect consistent IDE-like features
Worth the install?
AI-flagged interpretation of the facts on this page. Verify before relying on it.
Yes, if you use Jupyter Notebook or JupyterLab and want IDE-like code intelligence features.
Install friction is low, maintenance is active, and the permissive BSD-3-Clause license poses no restrictions. The only gotcha is that you must install language servers separately—jupyter-lsp is the proxy layer only. No known security vulnerabilities.
Install
jupyter-lsp on PyPI
Before you install
Low friction install with only two runtime dependencies (jupyter_server and importlib_metadata). Actively maintained with recent releases and a stable repository.
Requires Python 3.8 or later; language servers must be installed separately—jupyter-lsp provides only the proxy infrastructure, not the servers themselves.
License in practice
BSD-3-Clause permissive license allows commercial and private use with minimal restrictions; suitable for most projects.
Quickstart
pip install jupyter-lsp
Import and configure in your Jupyter environment after installing a separate language server. jupyter-lsp detects and proxies it automatically.Verify before relying
- Which language servers are supported and how to install them alongside jupyter-lsp
- Whether language server auto-discovery works across all common installation methods
- Performance impact of the WebSocket proxy on notebook responsiveness with concurrent requests
Package facts
| License | BSD-3-Clause permissive |
| Python support | Supports the current Python release >=3.8 |
| Install friction | Low. Pure-Python wheel |
| Runtime dependencies | 2 packagesjupyter_serverimportlib_metadata |
| Maintenance | Actively maintained 134 days since the last release |
| Last repo commit | |
| First released | |
| Downloads | 38,916,606 / month, #705 on PyPI 30-day window, as of 2026-08-14 |
| Known vulnerabilities | None known OSV.dev, checked 2026-08-14 |
| Classifiers | Framework :: JupyterIntended Audience :: DevelopersIntended Audience :: Information TechnologyLicense :: OSI Approved :: BSD LicenseProgramming Language :: Python |
Evidence: jupyter_lsp-2.3.1-py3-none-any.whl
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See also jupyter-http-over-ws · jupyterlab-lsp · jupyter-server-proxy · jupyterlab · pygls · leanclient · jupyter-server-documents · ruff-lsp · jupyter-nbmodel-client · jupyter-collaboration-ui