The collaborative notebook allows me to get my students to contribute code in real-time which provides a better experience than when they have to come use my laptop

What I like most about Deepnote is its real-time collaboration and cloud-based notebook experience. It combines the flexibility of Jupyter notebooks with features designed for teams, making it easy to analyze data, write code, and share insights without worrying about local environment setup. Real-time collaboration, similar to working in a shared document. Cloud-hosted notebooks with no complex local configuration. Support for Python, SQL, and popular data science libraries. Easy integration with databases, cloud storage, and version control systems. Clean, intuitive interface that simplifies data exploration and visualization. For me, the most valuable feature is the collaborative editing. Multiple team members can work on the same notebook simultaneously, making it much easier to review analyses, troubleshoot code, and share findings in one place. The biggest benefit is improved productivity. Deepnote streamlines the entire data analysis workflow by reducing setup time, simplifying collaboration, and making notebooks easily accessible from anywhere.

Allows me to work in real time with my physics lab partners as a university student. Outside of labs this mean it is also easier to make changes and not have to send my updated code to my lab partners, for this reason I use Deepnote. Allowing for the software to be free is also great for university students. AI can be handy at times although I don't personally use it too much. Performance is solid, little bit slow but I understand why that is case too given we use the free plan