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Comparison · Analytics
Dagster vs Deepnote
A side-by-side editorial comparison of Dagster and Deepnote — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:mcp
Dagster vs Deepnote: at a glance
| Feature | Dagster | Deepnote |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 5.0 | 2.5 |
| Sparks · 30d | 0 | 0 |
| Top themes | orchestration, mcp, dbt-fusion, dagster-plus | data notebooks, agentic ai, mcp, workspace context |
| Last editorial update | 5h ago | 11d ago |
| Website | Visit → | — |
What is Dagster?
Dagster drops Python 3.10 and lets agents run schedules and sensors through MCP.
Dagster's 1.13 line ships weekly and follows two threads. dagster-dbt no longer installs dbt-core and gained a dbt v2 extra for the Fusion engine, while the UI keeps getting phone layouts and faster search and catalog pages. 1.13.30 on November 12 makes Python 3.11 the minimum and widens the Dagster+ MCP server to reading and toggling schedules and sensors and managing partitions.
What is Deepnote?
Deepnote's agent now runs from first prompt to finished notebook without handoffs.
Deepnote's most recent entry, in October, makes Deepnote Agent a single agent that keeps context from the first instruction to the finished notebook, and lets private and shared projects sit in the same folder. It builds on June's native Codex connection to a workspace's notebooks, schedules and data, and July's MCP tools that let agents create and attach integrations. Spring releases added run snapshots, Git sync, Polars support, PDF export and AI usage metering.
Dagster vs Deepnote: editorial side-by-side
Dagster
5.0ANALYTICS
Dagster drops Python 3.10 and lets agents run schedules and sensors through MCP.
◆ Current state
Dagster's 1.13 line ships weekly and follows two threads. dagster-dbt no longer installs dbt-core and gained a dbt v2 extra for the Fusion engine, while the UI keeps getting phone layouts and faster search and catalog pages. 1.13.30 on November 12 makes Python 3.11 the minimum and widens the Dagster+ MCP server to reading and toggling schedules and sensors and managing partitions.
◆ Where it's heading
The Dagster+ MCP server has grown release by release, from launching runs without a code location in September to controlling schedules, sensors and partitions now. Combined with the dbt split, Dagster is trimming legacy dependencies while making the orchestrator something an agent can operate, not just a person in the UI.
◆ Prediction
The MCP server still lacks write access to things like backfills and alert policies, so expanding it there is the most visible next step; further Python and dbt version floors are likely to follow the 3.10 cut.
Deepnote
2.5ANALYTICS
Deepnote's agent now runs from first prompt to finished notebook without handoffs.
◆ Current state
Deepnote's most recent entry, in October, makes Deepnote Agent a single agent that keeps context from the first instruction to the finished notebook, and lets private and shared projects sit in the same folder. It builds on June's native Codex connection to a workspace's notebooks, schedules and data, and July's MCP tools that let agents create and attach integrations. Spring releases added run snapshots, Git sync, Polars support, PDF export and AI usage metering.
◆ Where it's heading
The notebook is being repositioned as a workspace agents operate in, both Deepnote's own agent and external ones like Codex. Releases have slowed from monthly in spring to one entry each in July and October.
◆ Prediction
Further agent capabilities or more external agent connections are the likeliest next move; the slower cadence makes timing hard to read.
Alternatives to Dagster 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 Dagster or Deepnote.
Dovetail
Dovetail lets admins choose which connectors members can plug into the workspace.
OpenHouse
OpenHouse adds time-zone-aware retention and per-database table caps.
Countly
Countly 25.03.59 defaults to Node 26, supports MongoDB 9 and tightens app scoping.
Kubecost
Kubecost cuts three 3.3.2 release candidates in two days, still without notes.
RStudio
RStudio opens the 2026.11 train with another NOTICE file update.
See all Dagster alternatives → · See all Deepnote alternatives →
Recent activity from Dagster and Deepnote
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoDagster1.13.30: Python 3.11 minimum, more Dagster+ MCP tools
- 8d agoDagster1.13.29: more mobile layouts, faster search and catalog
- 14d agoDagster1.13.28: dbt v2 extra and retries for failed code locations
- 18d agoDagster1.13.27: mobile run details, bounded BigQuery Insights scans
- 1mo agoDagster1.13.26: dagster-dbt stops installing dbt-core
- 1mo agoDeepnotePrivate and shared projects can live in the same folder
- 1mo agoDagster1.13.25: phone layout for the Dagster UI, ECS run resumes
- 4mo agoDeepnoteNew MCP tools for integrations
- 5mo agoDeepnoteYour workspace as the context for every exploration ⚡
- 6mo agoDeepnoteRun snapshots, Git sync, Polars support, PDF export, & a cleaner notebook
- 6mo agoDeepnoteRun snapshots, Git sync, & AI usage visibility
- 6mo agoDeepnoteRun snapshots, Git sync, Polars support, PDF export, & a cleaner notebook
Frequently asked questions
What is the difference between Dagster and Deepnote?
Both compete on the same themes — mcp — within Analytics. Dagster is currently shipping more aggressively (velocity 5.0 vs 2.5), 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 Dagster better than Deepnote?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Dagster is currently shipping more aggressively (velocity 5.0 vs 2.5), 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 Dagster?
Top Dagster alternatives in Analytics are ranked by recent ship velocity. Browse the "Dagster alternatives" section above for the current picks, or visit /alternatives/dagster 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.