Deepnote

What it is

Deepnote is a modern replacement for Jupyter notebooks offering an AI-enhanced design, sleek UI, and native data integrations. It supports Python, R, and SQL locally or in the cloud for scalable projects and team collaboration.

Deepnote stands out with its AI-first design and native data integrations, offering a modern alternative to traditional notebook environments like Jupyter.

When it fits — and when it doesn’t

Known weaknesses

Each one links to the public issue, changelog or docs page it came from, where we have one.

1. 01

   Limited native support for languages beyond Python, R, and SQL

   Deepnote's primary focus on Python, R, and SQL leaves other languages unsupported or with limited functionality.

2. 02

   Complex setup for local environments

   Setting up Deepnote locally requires significant configuration which can be time-consuming and error-prone for new users.

3. 03

   Performance issues when handling large datasets in real-time collaboration

   Real-time collaboration with large datasets can lead to slow response times or data processing delays, impacting productivity.

4. 04

   Limited third-party integration options compared to competitors like JupyterLab

   Deepnote offers fewer out-of-the-box integrations for tools and services commonly used in ML workflows, requiring manual setup or workarounds.

What it does well

• AI-first design with native data integrations

• Real-time collaboration and cloud scalability

• Support for Python, R, and SQL locally or in the cloud

Pricing

Free tier

Yes

Paid from

—

Model

Flat rate

Enterprise plan

No

Pricing not independently confirmed — check the vendor’s page.