Data science notebook comparison

Deepnote is a new kind of data notebook that’s built for collaboration — Jupyter compatible, works magically in the cloud, and sharing is as easy as sending a link.

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.

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.

Colab notebooks allow you to combine executable code and rich text in a single document, along with images, HTML, LaTeX and more.

The Data Workspace for Teams. Work with data in collaborative SQL and Python notebooks. Share as interactive data apps that anyone can use.

Collaborate across engineering, data science, and machine learning teams with support for multiple languages, built-in data visualizations, automatic versioning, and operationalization with jobs.

DataCamp Workspace is a cloud-based data science notebook to analyze data, collaborate with others, and share insights — no installation required.

JupyterLab is the next-generation web-based user interface for Project Jupyter.

Your best choice for teaching remote scientific courses.

Hyperquery is a data notebook that enables you to easily build shareable analyses in SQL and Python.

A powerful online environment for Jupyter notebooks. Use smart coding assistance for Python in online Jupyter notebooks, run code on powerful CPUs and GPUs, collaborate in real-time, and easily share the results.

Explore and run machine learning code with Kaggle Notebooks, a cloud computational environment that enables reproducible and collaborative analysis.

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.

Noteable is a collaborative notebook platform that enables teams to use and visualize data, together.

nteract is an open-source organization committed to creating fantastic interactive computing experiences that allow people to collaborate with ease.

Make sense of the world with data, together. Explore, visualize, and analyze data. Collaborate with the community. Learn and be inspired. Share insights with the world.

Collaborative SQL Notebooks. A better way for data teams to analyze, unite & deliver.

Visual Studio Code is a lightweight but powerful source code editor. It supports working with Jupyter Notebooks natively, as well as through Python code files.

Native R & Python Notebooks. From SQL, explore your analysis using R or Python Notebooks.

Querybook is Pinterest’s open-source big data IDE via a notebook interface.

Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.

Count helps your data team work closer with the business so everyone is working on the problems that matter. Fast.

Husprey provides a SQL data workspace designed for Data Analytics teams. Collaborate, analyze and share within your data team and with Business teams.

Writing a notebook is not just about writing the final document — Pluto empowers the experiments and discoveries that are essential to getting there.

Polynote is a different kind of notebook. It supports mixing multiple languages in one notebook, and sharing data between them seamlessly. It encourages reproducible notebooks with its immutable data model.

Notebook-powered analytics for enterprise teams.