JupyterLab
JupyterLab is the next-generation web-based user interface for Project Jupyter.
JupyterLab vs Kaggle:
a side-by-side comparison for 2024
Comparing two data science notebooks.
Kaggle
Explore and run machine learning code with Kaggle Notebooks, a cloud computational environment that enables reproducible and collaborative analysis.
JupyterLab
Kaggle
Setup
No, you must host it yourself
Fully managed (setup in minutes)
Can you self-host?
Can you self-host?
You can self-host (setup in hours)
No, you must use a managed offering
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)
Kaggle datasets
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
Limited scheduling capabilities
Management
Reproducibility
Reproducibility
With effort, you can make reproducible environments
Environments are reproducible by default
File-based (use Git)
Version history is built in
File-based (use Git)
Experimental JupyterLab support
No support for collaborative editors
Comments
Comments
File-based (use GitHub)
Comment on a notebook as a whole
Notebook organization
Notebook organization
File-based
View notebooks in a list
Licensing
License
License
Open-source (BSD)
Proprietary
Price
Price
Free
Free