Best Data Science Notebooks in 2025

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Interactive code examples/posts

Open Source

Algorithmia makes applications smarter, by building a community around algorithm development, where state of the art algorithms are always live and accessible to anyone.

Open Source

Neptune brings organization and collaboration to data science projects. All the experiement-related objects are backed-up and organized ready to be analyzed and shared with others. Works with all common technologies and integrates with other tools.

Open Source freemium

Machine Learning Operationalization

RunKit notebooks are interactive javascript playgrounds connected to a complete node environment right in your browser. Every npm module pre-installed.

Managed MLflow is built on top of MLflow, an open source platform developed by Databricks to help manage the complete Machine Learning lifecycle with enterprise reliability, security, and scale.

Open Source Polyglot Data Science Tool

Open Source

A collaboration platform for data scientists

The 5Analytics AI platform enables you to use artificial intelligence to automate important commercial decisions and implement digital business models.

Iterative removes friction from managing datasets and ML models and introduces seamless data scientists collaboration.

Rackspace server host Jupyter Notebooks from your github repo

Deep Learning and AI accessible to everyone