ANALYTICS
Three releases in three weeks moved ApexCharts from free library to gated open-core.
Alternatives · analytics tools
Deepnote alternatives
The best Deepnote alternatives in analytics tools, ranked by Sparkpulse's velocity_score.
Updated Aug 11, 2026
Looking for the best alternatives to Deepnote? Sparkpulse tracks and ranks 12 alternatives in analytics tools by shipping velocity — how frequently each ships meaningful updates, verified from official changelogs. For reference, Deepnote shipped 0 meaningful updates in the last 30 days and carries a velocity score of 6.3 out of 10 in 2026. The alternatives below are ranked the same way, so you're comparing real release momentum, not marketing claims.
About 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.
Velocity 6.3 · Last update 1mo ago
Top 12 alternatives to Deepnote
Ranked by recent ship velocity. Tap any card for the full editorial breakdown, or pivot to a head-to-head.
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The Rust rewrite crosses from alpha to beta, and it can now bind SQL without touching the warehouse.
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Omni ships weekly, and almost every week the headline item is an AI feature
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Hex is moving its agent out of the notebook and onto programmable surfaces.
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Parseable's 3.0 turns a log store into a logs, metrics, traces and APM console.
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Storm 3.0 finishes removing the Clojure it was built in, and moves to a Java 21 baseline.
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LinkedIn's Iceberg control plane, shipping one pull request per release.
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Mimir's feed is mostly Helm automation; the real work is inside the query engine.
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Superset's feed tracks Helm chart tags, so the BI product itself stays invisible here.
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Superset's tracked feed is a Helm chart tag stream with no notes attached.
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Appfigures just made its app-market data something an AI agent can query, not something you screenshot.
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Quantum chemistry package adding whole method families every release.
Deepnote vs alternatives — shipping velocity at a glance
Velocity score (0–10) and meaningful releases shipped in the last 30 days, from official changelogs. Higher = shipping faster.
| Product | Velocity | Sparks · 30d | Focus areas | Latest release |
|---|---|---|---|---|
| Deepnote (baseline) | 6.3 | 0 | data notebooksagentic aimcp | Your workspace as the context for every exploration |
| ApexCharts | 10.0 | 3 | open-corelicensingcharting | Sunburst charts arrive; premium features now need an entitled plan |
| dbt Core | 7.5 | 2 | dbt-fusionrust-rewritestatic-analysis | dbt Fusion 2.0 reaches first beta with catalog-free SQL binding |
| Omni | 6.3 | 1 | business-intelligencesemantic-modelai-routines | AI semantic model generation goes generally available in Omni |
| Hex | 6.3 | 1 | agentsclimcp | Hex Agent becomes callable from the CLI and API |
| Parseable | 6.3 | 1 | observabilitypromqlopentelemetry | Parseable 3.0 adds PromQL alerts, APM and dashboard templates |
| Apache Storm | 6.3 | 1 | stream-processingmodernizationsecurity | Storm 3.0 drops Clojure entirely and moves to Java 21 |
| OpenHouse | 5.0 | 0 | icebergdata-lakehousetable-metadata | — |
| Grafana Mimir | 5.0 | 0 | query-enginepromqlnative-histograms | — |
| Apache Superset | 5.0 | 0 | helm-chartpackagingdeployment | — |
| Apache Superset | 5.0 | 0 | helmpackagingdeployment | — |
| Appfigures | 3.8 | 1 | app-analyticsagenticaso | Introducing the Appfigures CLI |
| PySCF | 2.5 | 0 | quantum-chemistryperiodic-systemscoupled-cluster | — |
The 12 best Deepnote alternatives, in depth
1. ApexCharts · velocity 10.0
Three releases in three weeks moved ApexCharts from free library to gated open-core.
Over the last 30 days ApexCharts shipped 3 meaningful updates vs Deepnote's 0, most recently “Sunburst charts arrive; premium features now need an entitled plan”. Its velocity score of 10.0/10 blends that with longer-term release cadence.
Where Deepnote leans on data notebooks, agentic ai and mcp, ApexCharts focuses on open core, licensing and charting.
Over the last 30 days ApexCharts has been shipping faster than Deepnote — a point in its favour if release momentum matters to you.
Full ApexCharts trajectory → · Compare Deepnote vs ApexCharts →
2. dbt Core · velocity 7.5
The Rust rewrite crosses from alpha to beta, and it can now bind SQL without touching the warehouse.
Over the last 30 days dbt Core shipped 2 meaningful updates vs Deepnote's 0, most recently “dbt Fusion 2.0 reaches first beta with catalog-free SQL binding”. Its velocity score of 7.5/10 blends that with longer-term release cadence.
Where Deepnote leans on data notebooks, agentic ai and mcp, dbt Core focuses on dbt fusion, rust rewrite and static analysis.
Over the last 30 days dbt Core has been shipping faster than Deepnote — a point in its favour if release momentum matters to you.
3. Omni · velocity 6.3
Omni ships weekly, and almost every week the headline item is an AI feature.
Over the last 30 days Omni shipped 1 meaningful update vs Deepnote's 0, most recently “AI semantic model generation goes generally available in Omni”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where Deepnote leans on data notebooks, agentic ai and mcp, Omni focuses on business intelligence, semantic model and ai routines.
Over the last 30 days Omni has been shipping faster than Deepnote — a point in its favour if release momentum matters to you.
4. Hex · velocity 6.3
Hex is moving its agent out of the notebook and onto programmable surfaces.
Over the last 30 days Hex shipped 1 meaningful update vs Deepnote's 0, most recently “Hex Agent becomes callable from the CLI and API”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where Deepnote leans on data notebooks, agentic ai and mcp, Hex focuses on agents, cli and mcp.
Over the last 30 days Hex has been shipping faster than Deepnote — a point in its favour if release momentum matters to you.
5. Parseable · velocity 6.3
Parseable's 3.0 turns a log store into a logs, metrics, traces and APM console.
Over the last 30 days Parseable shipped 1 meaningful update vs Deepnote's 0, most recently “Parseable 3.0 adds PromQL alerts, APM and dashboard templates”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where Deepnote leans on data notebooks, agentic ai and mcp, Parseable focuses on observability, promql and opentelemetry.
Over the last 30 days Parseable has been shipping faster than Deepnote — a point in its favour if release momentum matters to you.
Full Parseable trajectory → · Compare Deepnote vs Parseable →
6. Apache Storm · velocity 6.3
Storm 3.0 finishes removing the Clojure it was built in, and moves to a Java 21 baseline.
Over the last 30 days Apache Storm shipped 1 meaningful update vs Deepnote's 0, most recently “Storm 3.0 drops Clojure entirely and moves to Java 21”. Its velocity score of 6.3/10 blends that with longer-term release cadence.
Where Deepnote leans on data notebooks, agentic ai and mcp, Apache Storm focuses on stream processing, modernization and security.
Over the last 30 days Apache Storm has been shipping faster than Deepnote — a point in its favour if release momentum matters to you.
Full Apache Storm trajectory → · Compare Deepnote vs Apache Storm →
7. OpenHouse · velocity 5.0
LinkedIn's Iceberg control plane, shipping one pull request per release.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where Deepnote leans on data notebooks, agentic ai and mcp, OpenHouse focuses on iceberg, data lakehouse and table metadata.
OpenHouse and Deepnote have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full OpenHouse trajectory → · Compare Deepnote vs OpenHouse →
8. Grafana Mimir · velocity 5.0
Mimir's feed is mostly Helm automation; the real work is inside the query engine.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where Deepnote leans on data notebooks, agentic ai and mcp, Grafana Mimir focuses on query engine, promql and native histograms.
Grafana Mimir and Deepnote have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Grafana Mimir trajectory → · Compare Deepnote vs Grafana Mimir →
9. Apache Superset · velocity 5.0
Superset's feed tracks Helm chart tags, so the BI product itself stays invisible here.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where Deepnote leans on data notebooks, agentic ai and mcp, Apache Superset focuses on helm chart, packaging and deployment.
Apache Superset and Deepnote have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Apache Superset trajectory → · Compare Deepnote vs Apache Superset →
10. Apache Superset · velocity 5.0
Superset's tracked feed is a Helm chart tag stream with no notes attached.
Its velocity score of 5.0/10 reflects longer-term release cadence.
Where Deepnote leans on data notebooks, agentic ai and mcp, Apache Superset focuses on helm, packaging and deployment.
Apache Superset and Deepnote have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Full Apache Superset trajectory → · Compare Deepnote vs Apache Superset →
11. Appfigures · velocity 3.8
Appfigures just made its app-market data something an AI agent can query, not something you screenshot.
Over the last 30 days Appfigures shipped 1 meaningful update vs Deepnote's 0, most recently “Introducing the Appfigures CLI”. Its velocity score of 3.8/10 blends that with longer-term release cadence.
Where Deepnote leans on data notebooks, agentic ai and mcp, Appfigures focuses on app analytics, agentic and aso.
Over the last 30 days Appfigures has been shipping faster than Deepnote — a point in its favour if release momentum matters to you.
Full Appfigures trajectory → · Compare Deepnote vs Appfigures →
12. PySCF · velocity 2.5
Quantum chemistry package adding whole method families every release.
Its velocity score of 2.5/10 reflects longer-term release cadence.
Where Deepnote leans on data notebooks, agentic ai and mcp, PySCF focuses on quantum chemistry, periodic systems and coupled cluster.
PySCF and Deepnote have shipped at a similar pace over the last 30 days, so the decision comes down to fit and feature depth.
Frequently asked questions
What are the best alternatives to Deepnote?
The top Deepnote alternatives we currently track in analytics tools are ApexCharts, dbt Core, Omni, Hex, Parseable, ranked by recent ship velocity.
How is this list of Deepnote alternatives ranked?
Alternatives are ranked by Sparkpulse's velocity_score — release cadence + 30-day spark count + sector-relative ship rate.
Can I compare Deepnote directly with one of these alternatives?
Yes — every card has a "Compare with Deepnote" link to a side-by-side /compare page.