Omni vs Deepnote
Side-by-side trajectory, velocity, and editorial themes.
Omni is welding an agentic AI layer onto its BI stack, one weekly release at a time
Omni ships a real weekly changelog, and the last month is dominated by AI: visualization annotations reaching general availability, an AI Hub and Modeling Agent skills, AI file uploads, and external AI context via Notion. Underneath, the core BI product keeps maturing — calculation pushdown, compute routing, approximate aggregates, dashboard-editor and embedding controls, and a widening API surface.
Two threads run in parallel: an AI/agentic layer moving from preview to GA with access-grant governance, and steady modeling, performance, and embedding work beneath it. Omni is positioning as an embeddable, AI-native BI platform rather than a static dashboard tool, with governance and APIs treated as first-class.
Expect the AI features that just reached GA — annotations, AI Hub, Modeling Agent — to gain deeper agentic actions and more external-context integrations, alongside continued weekly modeling and embedding improvements.
Deepnote reshapes the data notebook into agent-operable infrastructure.
Deepnote, a collaborative data-science notebook, is steadily making itself agent-native: MCP tools now let AI agents create and wire integrations end-to-end, and OpenAI's Codex connects natively to a Deepnote workspace's notebooks, schedules, and data. Underneath, it keeps shipping solid workflow features — run snapshots, Git and GitLab sync, Polars, PDF export.
Two tracks are converging: reproducibility and engineering rigor (immutable run snapshots, Git sync, notebook interoperability) and agent-operability (MCP tools, Codex context). Deepnote is positioning the workspace as the trusted context layer that AI agents act through, not just a place humans write notebooks.
Expect more MCP tooling that lets agents operate Deepnote projects autonomously, plus deeper native hooks for external coding agents — the workspace-as-agent-context bet will likely expand beyond Codex.
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