JupyterLab
JupyterLab is the next-generation web-based user interface for Project Jupyter.
JupyterLab vs VS Code:
a side-by-side comparison for 2024
Comparing two data science notebooks.
VS Code
Visual Studio Code is a lightweight but powerful source code editor. It supports working with Jupyter Notebooks natively, as well as through Python code files.
JupyterLab
VS Code
Setup
No, you must host it yourself
No, you must host it yourself
Can you self-host?
Can you self-host?
You can self-host (setup in hours)
You can self-host (setup in hours)
Features
Is it Jupyter compatible?
Is it Jupyter compatible?
Jupyter-compatible
Jupyter-compatible
Programming languages
Programming languages
Jupyter languages (e.g. Python, R)
Jupyter languages (e.g. Python, R)
What kind of data sources can you connect to?
What kind of data sources can you connect to?
Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)
What kind of data visualization can you do?
What kind of data visualization can you do?
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
Reactivity
Reactivity
No reactivity, you decide the execution order
No reactivity, you decide the execution order
Notebook scheduling with additional tools
Notebook scheduling with additional tools
Management
Reproducibility
Reproducibility
With effort, you can make reproducible environments
There is no support for reproducibility
File-based (use Git)
File-based (use Git)
File-based (use Git)
Experimental JupyterLab support
File-based (use Git)
Comments
Comments
File-based (use GitHub)
File-based (use GitHub)
Notebook organization
Notebook organization
File-based
File-based
Licensing
License
License
Open-source (BSD)
Open-source (MIT)
Price
Price
Free
Free