1. Noteable A collaborative data notebook that enables data-driven teams to use, explore, and visualize data together in a shared environment.
2. Google Colab A free, cloud-based Jupyter Notebook environment from Google — no setup required, with access to GPUs and TPUs for machine learning experiments.
3. Kaggle Notebooks A no-setup, customizable Jupyter Notebook environment with free GPU access and a vast repository of community-published datasets and code.
4. VS Code Notebooks VS Code combines with the Jupyter extension and additional language extensions to deliver a full-featured, extensible notebook IDE for data science.
5. Datalore JetBrains' collaborative data science platform featuring smart coding assistance, real-time collaboration, and automated report scheduling.
6. JupyterLab A web-based interactive development environment for Jupyter notebooks, code, and data — the open-source standard for scientific computing and data science.
7. Deepnote A collaborative notebook platform offering a better way for data teams to work together — with real-time collaboration, version control, and scheduled runs.
8. Hex Streamlines the entire analytics workflow — from ad-hoc analyses and SQL queries to beautiful dashboards and complex data apps — in one unified platform.
9. Nextjournal Runs anything you can put in a Docker container — supporting polyglot notebooks, automatic versioning, and real-time collaboration for reproducible research.
10. Gradient Notebooks A web-based Jupyter IDE from Paperspace with free GPUs and IPUs — designed for deep learning model training and data science experimentation.
11. Apache Zeppelin A web-based notebook enabling data-driven, interactive analytics and collaborative documents with SQL, Scala, Python, R, and more — backed by Apache.
12. Count A real-time, collaborative data canvas — explore data spatially, break down and refactor data models, and share live insights directly with stakeholders.