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Collaborative, Jupyter-compatible data notebook with an AI copilot
Deepnote is a polished, genuinely collaborative notebook, and its AI copilot plus real-time co-editing make it a natural fit for data teams that outgrew passing Jupyter files around. Warehouse integrations and scheduling push it toward production analytics. The free tier is limited on editors and compute, and solo users with simple scripts may not need it. A strong pick for collaborative data science and analytics work.
Deepnote is a Jupyter-compatible collaborative data notebook with real-time editing, SQL cells, warehouse integrations, and an AI copilot that completes code, generates analysis, and chats with your data.
Deepnote is a cloud data notebook built for collaboration. It is Jupyter-compatible but adds Google-Docs-style real-time co-editing, native SQL cells, scheduling, and integrations with data warehouses such as Snowflake, BigQuery, and Redshift. This makes it a shared workspace where data teams can explore data, build analyses, and ship dashboards together rather than passing notebooks back and forth. The AI layer is a core part of the modern product. An AI copilot offers code completion, natural-language-driven code generation, and a data copilot you can chat with to create charts, write code, and turn notebooks into dashboards or apps. Higher tiers unlock access to leading models, making the AI features more capable for teams doing serious analysis. Deepnote offers a free plan for small teams and projects and a Team plan around $39/month that unlocks unlimited notebooks, premium warehouse integrations, scheduling, background execution, and bundled compute, plus an Enterprise tier. It is a strong pick for collaborative data science and analytics teams that want AI assistance inside a familiar notebook, though solo users with simple needs may find lighter tools sufficient.
Deepnote is a collaborative, Jupyter-compatible data notebook with real-time editing, SQL cells, warehouse integrations, and an AI copilot for code generation and chatting with data.
Deepnote is a data-tooling company building a collaborative notebook for modern data teams. It differentiates on real-time co-editing and an integrated AI copilot layered on a Jupyter-compatible foundation.
The company serves data scientists and analysts through a freemium model, with paid tiers unlocking warehouse integrations, scheduling, and more compute. Its direction leans toward AI-assisted, production-oriented analytics rather than solo exploration alone.
Deepnote provides real-time collaborative editing, SQL cells, scheduling, and background execution, plus integrations with Snowflake, BigQuery, Redshift, and PostgreSQL. The AI copilot completes code, generates analysis from natural language, and lets users chat with data to build charts, dashboards, and apps.
Higher tiers unlock leading models and premium integrations, and notebooks can be published as dashboards or apps. The overall focus is collaborative, AI-assisted data work.
Deepnote targets data science and analytics teams, researchers, and analysts who want collaborative notebooks with integrated AI and warehouse connectivity.
Data scientists and analysts writing Python and SQL in shared notebooks.
Data team leads and engineering managers purchasing Team or Enterprise plans.
Analytics leaders and data platform owners evaluating collaboration and AI features.
Collaborative data teams that want AI-assisted, warehouse-connected notebooks.
Deepnote is a venture-backed company; verify the latest funding details with the vendor or public sources.
Yes, Deepnote is Jupyter-compatible while adding real-time collaboration, SQL cells, scheduling, and an AI copilot.
It offers code completion, natural-language code generation, and a data copilot you can chat with to create charts, write code, and build dashboards or apps.
Deepnote integrates with warehouses including Snowflake, BigQuery, and Redshift, plus databases like PostgreSQL.
Yes, Deepnote has a free plan for small teams with limited editors and compute; the Team plan around $39/mo unlocks more.
Yes, paid tiers support scheduled notebooks and background execution for automated, recurring analysis.
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