Best Data Science Notebooks in 2026

Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.

Key Jupyter features:

Interactive Computing Rich Media Output Language Agnostic Collaborative Features

Practice and test a strategy, then trade it live, all in one place. Spyglass, the AI quant on your desk, knows your chart and your trades. US stocks and ETFs.

Key TraderPier features:

Online platform access Possible low barrier to entry Potential access to multiple markets

Visit website freemium $29 / Monthly Sponsored

Interactive code examples/posts.

Key Observable features:

Collaborative Environment Reactive Programming Built-in Data Visualization Libraries Notebook Interface

Open Source

A collaboration platform for data scientists.

Key Deepnote features:

Collaborative Features Integration with Popular Tools User-Friendly Interface Cloud-Based

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

Key Algorithmia features:

Wide Range of Algorithms Scalability Ease of Integration Supports Multiple Languages

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.

Key neptune.ai features:

Experiment Tracking Collaboration Features Integration Capability Interactive Dashboard

Open Source freemium

Free Jupyter notebook environment in the cloud.

Key Colaboratory features:

Free Access Cloud-based GPU and TPU Support Integration with Google Drive

Open Source

Machine Learning Operationalization.

Key MCenter features:

Variety of Services Advanced Technology Professional Staff Patient Comfort

Rackspace server host Jupyter Notebooks from your github repo.

Key nbviewer.org features:

Simple Viewing Read-Only Access No Installation Required Supports Multiple File Sources

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

Key 5Analytics features:

Real-time Analytics AI and Automation Scalability Integration

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

Key Iterative.ai features:

Version Control with DVC Integration with Existing Tools Scalability Open Source

Machine Learning Operationalization.

Key Numericcal features:

Ease of Use Comprehensive Tools Accessibility Regular Updates

Turn a Git repo into a collection of interactive notebooks.

Key Binder features:

Accessibility Cost-effective Immediate Sharing Reproducibility

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

Key RunKit features:

Ease of Use Immediate Feedback Installation-free Package Integration