Deepnote is an open-source data notebook that replaces Hex with clean YAML files, local IDE workflows, and reactive Python and SQL execution.
Deepnote is an interactive data notebook platform built around a human-readable, block-based file format. Rather than trapping code inside opaque JSON notebooks or proprietary cloud workspaces, it stores notebook logic in YAML files that isolate code from execution outputs. This structure allows developers to version analytical workflows in standard code editors while retaining the option to push projects to a shared cloud runtime.
Hex anchors modern cloud data exploration by combining warehouse SQL queries with interactive widgets and published data apps, but it locks the entire workflow into a proprietary hosted engine. Notebook logic lives in a closed database, preventing teams from auditing changes through standard Git diffs or running computations without sending raw data through external infrastructure. Deepnote mitigates that operational risk by decoupling the notebook representation from execution. Its open-source core defines notebooks as .deepnote YAML files alongside companion snapshot files, allowing teams to version pipelines in internal repositories and run queries locally in VS Code or Cursor without cloud data transmission.
Hex retains an edge in app publishing and granular stakeholder permissions for central business intelligence teams. Deepnote narrows that reporting gap with reactive block execution and scheduled runs, though its hybrid model requires trade-offs. While exploratory code and sensitive client datasets remain on local machines, real-time multiplayer editing and cloud compute still require syncing projects to Deepnote Cloud. For agencies handling strict client confidentiality and ops leads seeking vendor independence, Deepnote delivers collaborative analytics without surrendering file ownership.
.deepnote YAML files that isolate outputs into separate snapshot documents, eliminating Git merge conflicts during code reviews.@deepnote/convert, simplifying cross-team asset sharing.@deepnote/reactivity whenever inputs change, preventing stale calculations.Is Deepnote open source or commercial?
The .deepnote file format, conversion tools, reactivity engine, and editor extensions are Apache-2.0 open source, while real-time multiplayer collaboration, cloud compute, and workspace management require Deepnote Cloud.
Deepnote vs Hex — which fits collaborative data teams better? Hex excels at turning warehouse SQL into customer-facing data apps on a hosted platform, whereas Deepnote suits teams prioritizing local IDE execution, Git version control, and Jupyter format interoperability.
Can I run Deepnote notebooks locally without an internet connection?
Yes, the Deepnote extensions for VS Code and Cursor execute .deepnote files against local Python kernels with zero external network calls.
Deepnote provides a balanced solution for technical teams that need collaborative notebook workflows without compromising file ownership or Git discipline. An Apache-2.0 codebase for the core format and editor extensions safeguards workflow portability even if you forgo the commercial cloud. With active maintenance and commits pushed in September 2026, it is a practical choice for teams seeking reactive data exploration with minimal vendor lock-in.
Go, gRPC and Protobuf done right, LLM agents in production, and the hard parts of shipping a first product.
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