Comments in Jupyter notebooks

GitHub PRs don't really cut it. Explore other options.

Data science is a team sport, and the conversation needs to include a number of stakeholders.

There are technical people, other data scientists, who can often offer their point of view on the methods or the technical implementation.

Then there are business stakeholders or domain experts, who can offer unique insights on the bigger picture and overall goal, review the conclusion and take action.

Currently, Jupyter notebooks offer a solo experience. Code reviews with technical peers in GitHub are problematic, and collaboration with business stakholders requires introducing several degrees of separation from the original work (such as screnshots in Slides).

A new generation of tools aims to solve these problems. They help prepare the narratives using notebooks, present them in views appropriate for non-technical people, and tighten the feedback loop.


Logo of Deepnote

Deepnote is a new kind of data science notebook. Jupyter-compatible with real-time collaboration and running in the cloud. Oh, and it's free.

Read more


Logo of Hex

The Data Workspace for Teams. Work with data in collaborative SQL and Python notebooks. Share as interactive data apps that anyone can use.

Read more

Jetbrains Datalore

Logo of 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.

Read more


Logo of Zepl

Notebook-powered analytics for enterprise teams.

Read more


Logo of Husprey

Husprey provides a SQL data workspace designed for Data Analytics teams. Collaborate, analyze and share within your data team and with Business teams.

Read more

Databricks Notebooks

Logo of Databricks Notebooks

A notebook is a web-based interface to a document that contains runnable code, visualizations, and narrative text.

Read more


Logo of 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.

Read more


Logo of 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.

Read more


Logo of Noteable

Noteable is a collaborative notebook platform that enables teams to use and visualize data, together.

Read more