JupyterLab
Web-based interactive environment for notebooks, code and data analysis.
Markdown, editors and content PyPI BSD
How JupyterLab is used
JupyterLab is a dependency in 10 of the 6,208 public GitHub projects set up for AI coding agents that we scanned, too few to describe it from them alone. Our scan also samples projects by dependency (Solana 2,661, Ethereum and EVM 1,496, 3D and games 2,818, agent frameworks and SDKs 10,983); counting those, it appears in 184 projects, and what it is used with below comes from all of them. Projects that use it most often also use NumPy (88.6%), pandas (87.5%), Matplotlib (82.1%).
JupyterLab popularity over time
Gid Score 66: downloads 83, use in agent projects 60, GitHub stars 57, downloads trend 51 (each 0-100). How it is calculated.
Often used with JupyterLab
| NumPy | 88.6% of JupyterLab projects · 15.2× more than average |
|---|---|
| pandas | 87.5% of JupyterLab projects · 20.3× more than average |
| Matplotlib | 82.1% of JupyterLab projects · 30.5× more than average |
| IPykernel | 77.2% of JupyterLab projects · 106.5× more than average |
| Beautiful Soup | 76.1% of JupyterLab projects · 35.2× more than average |
| IPython | 74.5% of JupyterLab projects · 256.8× more than average |
| Jinja2 | 72.8% of JupyterLab projects · 33.5× more than average |
| jsonschema | 72.8% of JupyterLab projects · 44.8× more than average |
From all 184 projects in our scan that use JupyterLab, including the dependency samples.
By coding agent
| GitHub Copilot | 0.2% of projects set up for it |
|---|---|
| Claude Code | 0.2% of projects set up for it |
Share of public repos configured for each agent that list JupyterLab as a dependency.
How JupyterLab is funded
Install
| Package | pip install jupyterlab |
|---|---|
| Main stacks | Python (183), Next.js (1) |
| Example projects | Paper2Poster/Paper2Poster, rsanshierli/EasyBert, YvanYin/GoalFlow, YuhangChen1/Paper2All, Luffy03/Large-Scale-Medical |
Alternatives to JupyterLab
In our scan, none of the most used tools in Markdown, editors and content does the same job as JupyterLab: they are add-ons, companions or tools for a different task.
More in Markdown, editors and content: react-markdown remark-gfm Marked Jinja2 gray-matter Tiptap Shiki highlight.js