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Amundsen vs Deepnote

A side-by-side editorial comparison of Amundsen and Deepnote — release velocity, themes, recent moves, and the top alternatives to consider.

Amundsen vs Deepnote: at a glance

FeatureAmundsenDeepnote
SectorAnalyticsAnalytics
Velocity score0.06.3
Sparks · 30d00
Top themesdata-catalog, metadata, maintenance-mode, monorepo-releasesdata notebooks, agentic ai, mcp, reproducibility
Last editorial update9h ago1mo ago
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What is Amundsen?

Amundsen's last release was a config flag, and the feed has been silent for two years

Amundsen ships as several separately versioned components — databuilder, metadata, frontend, common — cut from one repository, and the release feed shows the same changelog republished under three different component tags on the same afternoon. Reading past the tag names, the content is overwhelmingly dependabot bumps, Python compatibility-matrix maintenance and mypy upgrades, with real features appearing a couple of times a year. The final release, databuilder 7.5.1 in August 2024, contains exactly one change: a config option for implicit transactions in the neo4j extractor.

Read the full Amundsen trajectory →

What is Deepnote?

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.

Read the full Deepnote trajectory →

Amundsen vs Deepnote: editorial side-by-side

A
Amundsen
ANALYTICS
0.0

Amundsen's last release was a config flag, and the feed has been silent for two years

◆ Current state

Amundsen ships as several separately versioned components — databuilder, metadata, frontend, common — cut from one repository, and the release feed shows the same changelog republished under three different component tags on the same afternoon. Reading past the tag names, the content is overwhelmingly dependabot bumps, Python compatibility-matrix maintenance and mypy upgrades, with real features appearing a couple of times a year. The final release, databuilder 7.5.1 in August 2024, contains exactly one change: a config option for implicit transactions in the neo4j extractor.

◆ Where it's heading

The direction is contraction. Python 3.7 support was dropped and the matrix narrowed to 3.8 and 3.9 before 3.10 was cautiously added to everything except the metadata service, contributor names moved to emeritus status, and organisations were removed from the README's adopter list. What feature work exists is small and peripheral — a PowerBI logo, aggregated alerts, a gremlin proxy method — rather than anything touching how the catalog works. Nothing has been published since August 2024.

◆ Prediction

There is no signal in these entries of planned work, and a two-year silence following a single-flag release means the practical expectation is no further releases; the component version skew across databuilder, metadata and frontend is now frozen where it stopped.

D
Deepnote
ANALYTICS
6.3

Deepnote reshapes the data notebook into agent-operable infrastructure.

◆ Current state

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.

◆ Where it's heading

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.

◆ Prediction

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.

Alternatives to Amundsen and Deepnote

Other Analytics products tracked by Sparkpulse, ranked by recent ship velocity. Each card links to a full editorial trajectory and lets you pivot into a head-to-head comparison with either Amundsen or Deepnote.

See all Amundsen alternatives → · See all Deepnote alternatives →

Recent activity from Amundsen and Deepnote

Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.

  1. 1mo agoDeepnoteNew MCP tools for integrations
  2. 2mo agoDeepnoteYour workspace as the context for every exploration
  3. 3mo agoDeepnoteRun snapshots, Git sync, & AI usage visibility
  4. 3mo agoDeepnoteRun snapshots, Git sync, Polars support, PDF export, & a cleaner notebook
  5. 3mo agoDeepnoteRun snapshots, Git sync, Polars support, PDF export, & a cleaner notebook
  6. 4mo agoDeepnotePolars support, PDF export & a cleaner notebook
  7. 1y agoAmundsenDatabuilder 7.5.1 adds implicit-transaction config for the neo4j extractor
  8. 2y agoAmundsenDatabuilder 7.5.0 is dependency bumps and a Python 3.10 matrix
  9. 2y agoAmundsenMetadata 3.13.0 adds aggregating alerts and a gremlin proxy lookup
  10. 2y agoAmundsenFrontend 4.3.0 republishes the same changelog under a second tag
  11. 2y agoAmundsenCommon 0.32.0 republishes the same changelog under a third tag
  12. 2y agoAmundsenMetadata 3.12.3 clears frontend dependency vulnerabilities

Frequently asked questions

What is the difference between Amundsen and Deepnote?

They serve adjacent needs but don't currently overlap on shipped themes. Deepnote is currently shipping more aggressively (velocity 6.3 vs 0.0), with 0 editorial sparks in the last 30 days against 0. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.

Is Amundsen better than Deepnote?

Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Deepnote is currently shipping more aggressively (velocity 6.3 vs 0.0), with 0 editorial sparks in the last 30 days against 0. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.

What are the best alternatives to Amundsen?

Top Amundsen alternatives in Analytics are ranked by recent ship velocity. Browse the "Amundsen alternatives" section above for the current picks, or visit /alternatives/amundsen for the full list with editorial commentary on each.

What are the best alternatives to Deepnote?

Top Deepnote alternatives in Analytics are ranked by recent ship velocity. Browse the "Deepnote alternatives" section above for the current picks, or visit /alternatives/deepnote for the full list with editorial commentary on each.