platoseedplatoseed
A better data science notebook.
Data science is as much a scientific and creative process as it is an engineering one. It involves working together, failing, learning and going back to the drawing board. Data scientists are explorers. To make data projects successful, we need tools that are both powerful and easy to use. Tools that help us collaborate and share our work in an engaging way. Tools that make data science fun again. At Deepnote, we’re building a new standard in data tooling — a notebook that brings teams together to explore, analyze and present data from start to finish. We are building tools for explorers. Join us.
Deepnote is a collaborative data science notebook platform that combines Python, SQL, and other tools in a single environment. It emphasizes team collaboration, data analytics, and the ability to build, schedule, and deploy data workflows and dashboards. The product positions itself as an AI-enabled IDE for data professionals with strong emphasis on collaboration and production-readiness.
Deepnote provides a cloud-based notebook environment where users can write Python, SQL, and R, work collaboratively with teammates, and build data apps, dashboards, ETL pipelines, and data catalogs. It supports features like scheduling notebooks, deploying notebooks as APIs, running on GPUs, code reviews, version history, and security auditing. The platform integrates with data sources and data stacks, enables code completion and explanations via AI, and allows creating dashboards and apps that visualize data, automate insights, and share results across teams. It emphasizes a seamless cloud-based workspace with collaboration, environment management, and the ability to publish notebooks and share links or invites.
Who it’s for: Data teams and professionals including data analysts, data scientists, and ML engineers in mid-market to enterprise environments who need collaborative notebooks, data apps, dashboards, and production-ready workflows.
Hires/traction mentions implied by enterprise focus and case studies; mentions 500,000+ data professionals using the platform and a broad product roadmap
Collaborative data noteboook for business teams
A New Kind of Notebook for Data Storytelling
