Deepnote: Analytics and data science notebook for teams.
Explore data with Python & SQL, work together with your team, and share insights that lead to action — all in one place with Deepnote.
Deepnote is a collaborative data science notebook that enables teams to work together in real-time on data analysis, machine learning, and visualization projects. It combines the power of Jupyter notebooks with the convenience of cloud-based collaboration, offering a seamless experience for data scientists and analysts.
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Citation Level
2019
English, etc
Website Key Features
Real-time Collaboration
Work together with your team in real-time on the same notebook, with changes reflected instantly for all collaborators.
Cloud-based
Access your notebooks from anywhere, without the need for local setup or installation.
Integrated Data Visualization
Easily create and share interactive visualizations directly within your notebooks.
Version Control
Track changes and revert to previous versions of your notebooks with built-in version control.
Environment Management
Manage and replicate environments with ease, ensuring consistency across projects and teams.
Integration with Data Sources
Connect directly to various data sources, including databases and cloud storage, for seamless data access.
Interactive Widgets
Enhance your notebooks with interactive widgets for a more dynamic data exploration experience.
Export and Sharing
Export your notebooks in multiple formats and share them with ease, even with non-users.
Additional information
Pricing
Deepnote offers a free tier with basic features, and premium plans for teams and enterprises with advanced features and support.
Security
Deepnote prioritizes security with features like encrypted data storage, secure access controls, and compliance with industry standards.
Community and Support
Deepnote has an active community and provides comprehensive documentation, tutorials, and customer support to help users get the most out of the platform.
Use Cases
Deepnote is used by data scientists, analysts, and educators for a wide range of applications, including data analysis, machine learning model development, and collaborative research projects.
HTTP headers
Security headers report is a very important part of user data protection. Learn more about http headers for deepnote.com