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Comparison · Analytics
Deepnote vs Count
A side-by-side editorial comparison of Deepnote and Count — release velocity, themes, recent moves, and the top alternatives to consider.
Deepnote vs Count: at a glance
| Feature | Deepnote | Count |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 3.8 | 6.3 |
| Sparks · 30d | 1 | 1 |
| Top themes | data-notebooks, ai-agents, reproducibility, git-integration | agentic-analytics, mcp, public-api, warehouse-connectors |
| Last editorial update | 12d ago | 1d ago |
| Website | — | Visit → |
What is Deepnote?
Deepnote turns the notebook into shared context for AI coding agents
Deepnote has spent the year hardening the fundamentals of a collaborative notebook — Git sync, run snapshots, Polars, multi-format interop, AI cost visibility — and is now opening that accumulated workspace context to external agents. The June move wiring Codex directly into the workspace signals where the bet is going.
What is Count?
Count is turning its BI canvas into a governed, agent-operated analytics platform.
Count is a data-canvas analytics tool reorganizing itself around an AI agent. In two months it shipped a full public REST API and hosted MCP server (governed agent access via OAuth and service accounts), a major agent upgrade that lets the agent read and edit the entire canvas and answer from Slack, and the ability to plug external MCP servers (Linear, HubSpot, Stripe, Slack, Drive) into the agent. Around the agent it keeps broadening warehouse support—ClickHouse, Snowflake semantic models, OSI—alongside chart and UX polish.
Deepnote vs Count: editorial side-by-side
Deepnote
3.8ANALYTICS
Deepnote turns the notebook into shared context for AI coding agents
◆ Current state
Deepnote has spent the year hardening the fundamentals of a collaborative notebook — Git sync, run snapshots, Polars, multi-format interop, AI cost visibility — and is now opening that accumulated workspace context to external agents. The June move wiring Codex directly into the workspace signals where the bet is going.
◆ Where it's heading
The platform is positioning its notebooks, scheduled jobs, and integrations as the grounding context layer for AI exploration, while steadily closing the engineering-workflow gaps (Git, snapshots, reproducibility) that made notebooks hard to trust. Reproducibility plus agent-readable context is the combined thesis.
◆ Prediction
Expect deeper agent integration — more tools beyond Codex able to read and act on workspace context — alongside continued reproducibility and governance features like the AI usage metering already shipped.
Count
6.3ANALYTICS
Count is turning its BI canvas into a governed, agent-operated analytics platform.
◆ Current state
Count is a data-canvas analytics tool reorganizing itself around an AI agent. In two months it shipped a full public REST API and hosted MCP server (governed agent access via OAuth and service accounts), a major agent upgrade that lets the agent read and edit the entire canvas and answer from Slack, and the ability to plug external MCP servers (Linear, HubSpot, Stripe, Slack, Drive) into the agent. Around the agent it keeps broadening warehouse support—ClickHouse, Snowflake semantic models, OSI—alongside chart and UX polish.
◆ Where it's heading
Count is building toward analytics where agents are first-class operators: a governed API/MCP layer for access, an agent that drives the canvas end to end, external tool reach via MCP, and connection-level context so guidance is captured once and inherited. Governance—permissions, scopes, service accounts—is the enabling layer that makes agent access acceptable in real data stacks rather than a bolt-on.
◆ Prediction
Expect more connection- and warehouse-level context controls, a widening catalog of supported external MCP integrations, and deeper Slack-native agent workflows.
Alternatives to Deepnote and Count
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 Deepnote or Count.
Usermaven
Usermaven consolidates its scattered analyses into one Analytics Hub workspace
Zoho Analytics
A mature BI platform positioning itself as the data-and-semantic foundation for AI agents across the Zoho suite.
Holistics
Holistics leans into analytics-as-code with agentic dev workflows and a Power BI migration path
Axiom
Axiom completes the logs-traces-metrics triad and bets the product on AI engineering.
NocoDB
NocoDB keeps converging the database, the document, and the project plan into one workspace.
See all Deepnote alternatives → · See all Count alternatives →
Recent activity from Deepnote and Count
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 5d agoCountConnect external MCP servers to the Count agent ⚡
- 13d agoDeepnoteYour workspace as the context for every exploration ⚡
- 19d agoCountDashed lines
- 1mo agoCountNew workspace home
- 1mo agoCountClickHouse support
- 1mo agoDeepnoteRun snapshots, Git sync, & AI usage visibility
- 1mo agoDeepnoteRun snapshots, Git sync, Polars support, PDF export, & a cleaner notebook
- 1mo agoDeepnoteRun snapshots, Git sync, Polars support, PDF export, & a cleaner notebook
- 2mo agoCountMajor Count agent upgrade: edits any cell, runs in Slack ⚡
- 2mo agoDeepnotePolars support, PDF export & a cleaner notebook
- 2mo agoCountPublic API and MCP server ⚡
- 2mo agoDeepnoteHow many KitKats to run your AI?
Frequently asked questions
What is the difference between Deepnote and Count?
They serve adjacent needs but don't currently overlap on shipped themes. Count is currently shipping more aggressively (velocity 6.3 vs 3.8), with 1 editorial sparks in the last 30 days against 1. See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is Deepnote better than Count?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Count is currently shipping more aggressively (velocity 6.3 vs 3.8), with 1 editorial sparks in the last 30 days against 1. For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
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.
What are the best alternatives to Count?
Top Count alternatives in Analytics are ranked by recent ship velocity. Browse the "Count alternatives" section above for the current picks, or visit /alternatives/count for the full list with editorial commentary on each.