Deepnote

What it is for

Deepnote is a hosted data-notebook desk: you open a notebook, and Free is $0 forever (3 editors / 5 projects). Use it when the job is SQL-plus-Python you start at $0, not when you need a $20 chat seat.

What makes it unique: the cover is the official Deepnote notebook + SQL result (Edison Insights / Customer Trends / Predicting customer churn, Snowflake warehouse, monthlycharges / tenuremonths result table) from the docs still — not a pricing card. The rows themselves are ops of Notebooks. Deepnote bills per editor, not a chat seat.

Key features

• Notebooks — a document you run (code, SQL, text) (cover still; docs). One notebook. Cover Predicting customer churn, Run notebook, and the result table sit here.
• Projects — the folder that holds those notebooks (cover Customer Trends; pricing). A project, not a notebook. Free is 5 projects; Team is unlimited notebooks.
• Integrations — a warehouse or file source you attach (cover snowflake_warehouse; docs). A connection, not a project. Cover SQL against demo_db sits here. Premium integrations print on Team.
• Environments — the machine that runs the notebook (cover Environment: Python 3.9; pricing). A runtime, not a notebook. Free Basic machines are 5 GB RAM / 2 vCPU. Team adds more powerful machines and $280 CPU / $50 GPU credits / month.
• Agent workspace — the agent desk that proposes and runs notebook work (official video). An agent, not an environment. Distinct from writing cells yourself.

SQL cells and Visualize are ops of Notebooks. Scheduled notebooks and background execution print on Team — options of Notebooks, not a sixth desk. Viewer seats and AI credits are the meter.

Who it's for

Best fit: data teams who will stay on Free at $0 (3 editors / 5 projects) while they open a first notebook + SQL table, then buy Team at $39 / editor / month (yearly) when they want schedules, premium integrations, and more RAM.

Pricing

Verified 2026-10-23 (Asia/Shanghai) from deepnote.com/pricing. The page we fetched was on the Yearly toggle (prints −20%). Tiles print Free / Team $39 per editor / month billed yearly / Enterprise Custom.

• Free — $0, free forever. Up to 3 editors. Up to 5 projects. Limited Deepnote AI. Unlimited Basic machines (5 GB RAM, 2 vCPU). 7 day revision history.
• Team — $39 / editor / month, billed yearly (page printed −20%). 14-day trial. Unlimited viewers and notebooks. GPT-5.6 Sol and Sonnet 4.6 access. Premium integrations. Background execution. Scheduled notebooks. 30 day revision history. $39 AI credits / month. $280 CPU / $50 GPU credits / month. More powerful machines.
• Enterprise — Custom. SSO, permission groups, unlimited AI, dedicated success. Do not invent an Enterprise dollar.

Monthly toggle exists on the page; do not invent a monthly Team dollar if you only fetched Yearly. Confirm checkout; taxes follow your location.

Limitations / costs

• Free is 3 editors and 5 projects. A sixth project or a fourth editor is Team at $39 / editor / month (yearly).
• Team $39 is the yearly tile. Flip Monthly on deepnote.com/pricing before you budget a month-to-month card.
• A notebook desk, not a metrics BI tile. For Hex’s $0 / $36 editor notebooks see Hex. For Lightdash’s $0 explore see Lightdash.

Alternatives

• Hex — agentic analytics notebooks when you want Hex’s $0 / $36 / $75 editor tiles, not Deepnote’s $39 yearly Team.
• Lightdash — self-serve explore when the job is a metrics layer, not a Python notebook.
• Rows — a spreadsheet-shaped data desk when you do not want a notebook at all.

Official tutorial

Official Deepnote channel video: Introducing Deepnote Agent Workspace (oEmbed author: Deepnote). First-party product clip; the notebook + SQL still is the cover. Agent on the video is a fifth desk, not generate-on-Notebooks.

Written path: deepnote.com/pricing plus the notebook still.

Website

https://deepnote.com

Source

Catalog row curated for AI Tools Nav. Cover is the official Deepnote notebook + SQL result from the docs still. Dollars checked on deepnote.com/pricing (Free $0; Team $39/editor/mo yearly; Enterprise custom). Tutorial oEmbed author: Deepnote.

Last verified

2026-10-23 (Asia/Shanghai) editorial check.