DeepnoteDeepnote excels as a collaborative data science platform, simplifying team workflows for Python, SQL, and R projects with its real-time editing and sharing.

Deepnote is a collaborative cloud-based data science notebook supporting Python, SQL, and R, offering real-time teamwork and seamless project sharing for data professionals.

Deepnote is a collaborative data science notebook that supports Python, SQL, and R. It offers real-time collaboration and easy sharing, empowering data teams to work together effectively.

Not yet. This listing is compiled from Deepnote’s public documentation, pricing pages and changelogs — nothing on this page is presented as a hands-on test result.Deepnote sits in our testing queue; when we run it, this section will state what we tested, how long for, and what it actually produced. How we review AI tools.

• Collaborative Data Analysis: Enable multiple data scientists to work on the same notebook simultaneously for faster iteration and code review.
• Interactive Data Science Projects: Develop, document, and share data science projects including code, visualizations, and explanations in a single environment.
• Database Querying and Exploration: Connect to various databases and perform SQL queries directly within the notebook environment alongside Python or R code.
• Team Project Management: Manage data science projects effectively with built-in version control, task assignments, and clear communication channels.

• Collaborative notebooks
• Version control built-in
• Integrated SQL querying
• Cloud-based compute
• Code sharing and documentation
• Support for Python, R, and SQL
• Automated updates and backups

Prices as of July 25, 2026, taken from Deepnote’s public pricing page. Vendors change pricing without notice — check before you buy.

• Resource limits on the free tier
• Large dataset handling might require paid plans
• Offline access is not supported

• Jupyter Notebook
• Google Colaboratory
• Databricks

1. Sign up for a free Deepnote account on their website.
2. Create a new notebook and select your preferred environment (e.g., Python).
3. Start coding, querying SQL, or writing markdown, and invite collaborators if needed.

Use a SynaBot assistant to produce the thinking, then move the output into Deepnote for execution. Every SynaBot assistant is included with the platform membership.

• Content Creator (ZARA) — drafts the copy, captions and campaign angles you'll run through Deepnote.
• Business Planner (VIKRAM) — decides whether Deepnote belongs in your stack and what it should replace.
• Project Manager (PACE) — turns the rollout of Deepnote into owned, dated tasks.

Browse the full AI assistant roster, grab a starting point from the prompt library, or have us wire it together with our AI consultancy service.