Chord
Chord rebuilds Copilot from the ground up, betting its CDP on conversational AI.
Comparison · Analytics
Count vs Deepnote
A side-by-side editorial comparison of Count and Deepnote — release velocity, themes, recent moves, and the top alternatives to consider.
Shared themes:mcp
Count vs Deepnote: at a glance
| Feature | Count | Deepnote |
|---|---|---|
| Sector | Analytics | Analytics |
| Velocity score | 6.3 | 6.3 |
| Sparks · 30d | 1 | 1 |
| Top themes | agentic-analytics, mcp, public-api, warehouse-connectors | data notebooks, agentic ai, mcp, reproducibility |
| Last editorial update | 17d ago | 20h ago |
| Website | Visit → | — |
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.
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.
Count vs Deepnote: editorial side-by-side
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.
Deepnote
6.3ANALYTICS
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 Count 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 Count or Deepnote.
MotherDuck
MotherDuck climbs from serverless DuckDB warehouse to an agent-operable data platform
Apache Superset
Superset's Helm chart ships steadily, but these tags track packaging, not the BI app
Apify
Apify retools Actors for the agentic web — agent payments and login-gated MCP access.
Usermaven
Usermaven consolidates a sprawling analytics suite into one AI-assisted hub.
Appfigures
Appfigures turns its estimate engine into market-ranking and competitor-intel products.
See all Count alternatives → · See all Deepnote alternatives →
Recent activity from Count and Deepnote
Latest ship moves from both products, interleaved chronologically. ⚡ = editorial spark.
- 1d agoDeepnoteNew MCP tools for integrations
- 21d agoCountConnect external MCP servers to the Count agent ⚡
- 29d agoDeepnoteYour workspace as the context for every exploration ⚡
- 1mo agoCountDashed lines
- 1mo agoCountNew workspace home
- 2mo agoCountClickHouse support
- 2mo agoDeepnoteRun snapshots, Git sync, & AI usage visibility
- 2mo agoDeepnoteRun snapshots, Git sync, Polars support, PDF export, & a cleaner notebook
- 2mo 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
- 3mo agoCountPublic API and MCP server ⚡
Frequently asked questions
What is the difference between Count and Deepnote?
Both compete on the same themes — mcp — within Analytics. Count and Deepnote are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). See the at-a-glance table above for a side-by-side breakdown of velocity, recent sparks, and editorial themes.
Is Count better than Deepnote?
Sparkpulse doesn't pick a winner — we score release velocity, not feature parity. Count and Deepnote are shipping at a similar cadence (velocity 6.3 vs 6.3, both within Sparkpulse's "active" band). For your specific use case, the alternatives sections above list other Analytics products to evaluate alongside.
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.
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.