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Pluto.jl vs VS Code:
a side-by-side comparison for 2024

Comparing two data science notebooks.

A screenshot of Pluto.jl
Pluto.jl logo

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.
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A screenshot of VS Code
VS Code logo

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.
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Pluto.jl

VS Code

Setup

Is it managed?

Is it managed?

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?

Not Jupyter-compatible
Jupyter-compatible

Programming languages

Programming languages

Julia
Jupyter languages (e.g. Python, R)

What kind of data sources can you connect to?

What kind of data sources can you connect to?

Unknown
Connect with Jupyter libraries (e.g. SQLAlchemy, psycopg2)

What kind of data visualization can you do?

What kind of data visualization can you do?

Unknown
Jupyter data visualization (e.g. Matplotlib, Altair, Plotly)

Reactivity

Reactivity

Full, realtime reactivity
No reactivity, you decide the execution order

Notebook scheduling

Notebook scheduling

No notebook scheduling
Notebook scheduling with additional tools

Management

Reproducibility

Reproducibility

Execution is reproducible by default
There is no support for reproducibility

Version history

Version history

File-based (use Git)
File-based (use Git)

Collaborative editing

Collaborative editing

File-based (use Git)
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 (MIT)
Open-source (MIT)

Price

Price

Free
Free

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