Deepnote
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.
Compare Deepnote to Data platforms
Amazon Sagemaker
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.
Jupyter
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.
Google Colab
Colab notebooks allow you to combine executable code and rich text in a single document, along with images, HTML, LaTeX and more.
Hex
The Data Workspace for Teams. Work with data in collaborative SQL and Python notebooks. Share as interactive data apps that anyone can use.
Databricks Notebooks
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
DataCamp Workspace is a cloud-based data science notebook to analyze data, collaborate with others, and share insights — no installation required.
JupyterLab
JupyterLab is the next-generation web-based user interface for Project Jupyter.
Observable
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.
ChatGPT data analysis
ChatGPT is a versatile platform for data analysis, enabling data scientists and analysts to easily generate Python code and extract valuable insights. It excels in tasks such as exploratory data analysis and AI tooling, providing a robust foundation for complex data science projects.
Looker
Looker is a powerful BI tool that allows data analysts to create interactive dashboards, explore and analyze data from multiple sources with ease, and ensure robust data governance.
Vertex AI
Vertex AI is Google Cloud's comprehensive machine learning platform that enables businesses to build, deploy, and scale AI models effortlessly.
CoCalc
Your best choice for teaching remote scientific courses.
Kaggle
Explore and run machine learning code with Kaggle Notebooks, a cloud computational environment that enables reproducible and collaborative analysis.
Nextjournal
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.
Jetbrains Datalore
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.
VS Code
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.
Mode Notebooks
Native R & Python Notebooks. From SQL, explore your analysis using R or Python Notebooks.
Noteable
Noteable is a collaborative notebook platform that enables teams to use and visualize data, together.
Polynote
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.
Zeppelin
Web-based notebook that enables data-driven, interactive data analytics and collaborative documents with SQL, Scala and more.
Zepl
Notebook-powered analytics for enterprise teams.
Count
Count helps your data team work closer with the business so everyone is working on the problems that matter. Fast.
nteract
nteract is an open-source organization committed to creating fantastic interactive computing experiences that allow people to collaborate with ease.
Pluto.jl
Writing a notebook is not just about writing the final document — Pluto empowers the experiments and discoveries that are essential to getting there.
Push Metrics
Collaborative SQL Notebooks. A better way for data teams to analyze, unite & deliver.
Querybook
Querybook is Pinterest’s open-source big data IDE via a notebook interface.
Husprey
Husprey provides a SQL data workspace designed for Data Analytics teams. Collaborate, analyze and share within your data team and with Business teams.
Hyperquery
Hyperquery is a data notebook that enables you to easily build shareable analyses in SQL and Python.
Amazon QuickSight
Amazon QuickSight is a cloud-based BI service for creating interactive dashboards and visualizations.
Dataiku
Dataiku is an enterprise AI and machine learning platform that systematizes the use of data for exceptional business results. It provides end-to-end capabilities for data preparation, machine learning, and deployment.
Power BI
Power BI is Microsoft's business analytics service that provides interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
Alteryx
Alteryx is a data analytics and automation platform that combines data preparation, blending, and analytics with a user-friendly interface. It supports both code-based and no-code approaches to data science and analytics.
Julius AI
Julius AI is a data analytics platform that combines AI-powered analysis with natural language processing, allowing users to analyze and visualize data through conversational interfaces.
Qlik
Qlik is a complete data analytics platform that combines data integration and analytics with augmented intelligence. It offers both Qlik Sense for modern analytics and QlikView for guided analytics applications.
Sisense
Sisense is an AI-driven analytics platform that provides insights through its embedded analytics, interactive dashboards, and data preparation capabilities. It offers both code-first and low-code approaches to data analysis.