Jupyter vs. Amazon SageMaker

The comparison of the two data science notebooks. Both of them are great tools!

The table below summarizes some of the main differences.

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Jupyter

Logo of Jupyter

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. There's a number of vendors offering Jupyter notebooks as a managed service.

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Amazon SageMaker

Logo of 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.

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Jupyter Amazon SageMaker
License Open Source Proprietary
Ease of setup Local (easy) or on a server (hard) Fully managed (but hard)
Native integrations N/A Within AWS
Collaboration Using git Shared copies
Versioning Using git Using git
Reproducibility Problematic Problematic
Notebooks as products Plugins & python packages No