Data Science Notebooks

Runs anything you can put into a Docker container. Improve your workflow with polyglot notebooks, automatic versioning and real-time collaboration. Save time and money with on-demand provisioning, including GPU support. Use it for ML, data science, runnable tutorials, for your classroom or scientific publishing.

curvenote.dev: open source tools to promote and enable interactive scientific writing and explorable explanations

CoCalc landing pages and documentation

Bring your team together around data, focus on action over outputs, and make decisions with confidence.

SQL, Python, R, and No-code Data Visualization in one single collaborative data notebook platform built around jupyter notebooks. EDA & ETL Made Easy.

Explore data with Python & SQL, work together with your team, and share insights that lead to action — all in one place with Deepnote.

Reproducible, sharable, open, interactive computing environments.

You can enjoy powerful, integrated Jupyter notebooks with the following products and services from Microsoft and GitHub.

Build, train, and deploy machine learning (ML) models for any use case with fully managed infrastructure, tools, and workflows

Data science and machine learning in the cloud in seconds—Use R and Python with GPUs, Dask clusters, and more

Hex is a modern data platform for data science and analytics. Collaborative notebooks, beautiful data apps and enterprise-grade security.

The Jupyter Notebook is a web-based interactive computing platform. The notebook combines live code, equations, narrative text, visualizations, interactive dashboards and other media.