Observable vs Deepnote — Comparison

Observable

Observable is an all-in-one platform for data visualization with tools for developers, data analysts, and collaborators.

Mike has created 1,057 notebooks since 2022. Julio owns the record for the longest Duolingo streak without learning a word. Trevor, one of 800M chess players and 100M martial artists, aims to be the 0.01% to play full-contact chess. Seth has lived in cities from 0 to 8,392 feet above sea level. Hanna is on track to read 30 books this year. Paul has completed over 20 marathons and 10 ultramarathons. Michelle has explored 34 countries, logging over 13,600 hours of travel—all with just a carry-on. Erinn has 2 rabbits who eat over 1,400 cups of greens each year. Just another day to express my love of Observable Framework Observable Notebook Kit is such a joy to use. We are in love with @observablehq for all our #dataviz pieces 👩🏻‍💻 Getting more into @observablehq. I thought it was a kind of cool but now I realize it’s actually just AMAZING HOLY COW Observable opened up this whole new world of what we could offer people on such a short time scale... It expands the type of content we can create, and that we can offer our users. Observable lets us create polished, interactive, insightful visualizations without deep front-end expertise, making it essential for sharing our performance testing insights. 🤯 This is outstanding work by the Observable team! Connect data, code, charts, and powerful table components on the fly, visually, and effortlessly. All the piping complexity handled behind the scene. And then throw all that on an infinite multiplayer canvas with free form annotation. I feel like I’m staring at the future of BI! The UX of AI isn’t an interface, it’s visualizations and simulations. That’s why I’ve been keeping my eye on Observable. And now, their new Data Canvas changes the game, again. It’s all coming together. I use Observable for data dashboards at Tether and it rocks - and now they are out with a new data collaboration product called canvases, and it really rocks This is really, really incredible stuff. I can't wait to replace a bunch of terrible BI dashboards. I've seen and used so many amazing in-house dashboarding and reporting tools, and this suite blows them all out of the water.

Deepnote

Explore data with Python & SQL, work together with your team, and share insights that lead to action — all in one place with Deepnote.

Describe what you want to do and Deepnote will automagically query, analyze, and interpret data for you. No coding skills necessary. Connect to your data in seconds with built-in integrations for the most popular warehouses, databases, and lakehouses. Used by the next generation of data analysts and data scientists. Used by the next generation of data analysts and data scientists. A free version for aspiring data analysts and scientists. For data teams needing a powerful platform for seamless collaboration. For organizations with greater machine and security needs. Deepnote is the AI workspace for data professionals, designed to simplify data exploration, accelerate analysis, and quickly deliver actionable insights for you and your team. Unlike outdated tools such as Jupyter, Deepnote is built with the next decade in mind. Deepnote is built to give anyone working with data superpowers. It unifies your data workflow through an integrated semantic layer, preparing your data for advanced AI applications. You can also leverage our AI data copilot to chat with your data, create charts, and write code, or turn your AI notebooks into fully-fledged data dashboards or apps. Combine data, SQL or Python code, and visualizations side-by-side on a flexible canvas - enhanced with cutting-edge AI reasoning models.

Observable

Deepnote

Observable

Deepnote

Observable

Deepnote