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.
Pluto.jl vs Amazon Sagemaker:
a side-by-side comparison for 2024
Comparing two data science notebooks.
Amazon Sagemaker
Amazon SageMaker helps data scientists and developers to prepare, build, train, and deploy high-quality machine learning (ML) models quickly by bringing together a broad set of capabilities purpose-built for ML.
Pluto.jl
Amazon Sagemaker
Setup
No, you must host it yourself
Fully managed (setup in hours)
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?
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)
AWS
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
No notebook scheduling
Notebook scheduling with additional tools
Management
Reproducibility
Reproducibility
Execution is reproducible by default
There is no support for reproducibility
File-based (use Git)
File-based (use Git)
File-based (use Git)
No support for collaborative editors
Comments
Comments
File-based (use GitHub)
File-based (use GitHub)
Notebook organization
Notebook organization
File-based
View notebooks in a list
Licensing
License
License
Open-source (MIT)
Proprietary
Price
Price
Free
Free tier
Pay for compute