Kaggle
Explore and run machine learning code with Kaggle Notebooks, a cloud computational environment that enables reproducible and collaborative analysis.
Kaggle vs Pluto.jl:
a side-by-side comparison for 2024
Comparing two data science notebooks.
Pluto.jl
Writing a notebook is not just about writing the final document — Pluto empowers the experiments and discoveries that are essential to getting there.
Kaggle
Pluto.jl
Setup
Fully managed (setup in minutes)
No, you must host it yourself
Can you self-host?
Can you self-host?
No, you must use a managed offering
You can self-host (setup in hours)
Features
Is it Jupyter compatible?
Is it Jupyter compatible?
Jupyter-compatible
Not Jupyter-compatible
Programming languages
Programming languages
Jupyter languages (e.g. Python, R)
Julia
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)
Kaggle datasets
Unknown
What kind of data visualization can you do?
What kind of data visualization can you do?
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)
Unknown
Reactivity
Reactivity
No reactivity, you decide the execution order
Full, realtime reactivity
Limited scheduling capabilities
No notebook scheduling
Management
Reproducibility
Reproducibility
Environments are reproducible by default
Execution is reproducible by default
Version history is built in
File-based (use Git)
No support for collaborative editors
File-based (use Git)
Comments
Comments
Comment on a notebook as a whole
File-based (use GitHub)
Notebook organization
Notebook organization
View notebooks in a list
File-based
Licensing
License
License
Proprietary
Open-source (MIT)
Price
Price
Free
Free