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Deepnote vs Livedocs

Two fact sheets from our own research, side by side — pricing, platforms, API access and status re-checked by us rather than quoted from the vendors.

The short answer

Entry price
Deepnote from $39/seat/mo, Livedocs from $15/mo — different billing units, so no direct winner
Free plan
Both have one
Higher Trust score
Livedocs — 96 vs 84 for Deepnote
Best fit
Deepnote: Data teams that want real-time collaboration on Python and SQL notebooks · Livedocs: analysts who want generated SQL they can read and edit
Platforms
Deepnote: Web, VS Code extension · Livedocs: Web

From our own records as of each tool's last check. Anything we have not confirmed is left out rather than guessed. How we verify

Side by side

FactDeepnoteLivedocs
CategoryData Analysis AssistantsData Analysis Assistants
Pricing modelFreemiumFreemium
Starts at$39/seat/mo$15/mo
Trust score84 / 10096 / 100
PlatformsWeb, VS Code extensionWeb
CompanyDeepnote, Inc.Livedocs Inc.
Last verifiedOct 2, 2026Sep 6, 2026

What our research says

Deepnote

Deepnote suits analytics and data science teams that like the notebook workflow but want shared editing, scheduling and AI help without managing Jupyter servers. The free plan is generous enough for a small group to evaluate it on real projects. It is less convincing for people who only need a single dashboard, or who need on-premises hosting below the Enterprise tier.

Pros

  • Real-time editing, comments and revision history in one workspace
  • Python, SQL and R together, with native connections to common warehouses
  • Free plan includes unlimited basic compute and up to 5 projects
  • Scheduled notebooks and published data apps turn analysis into repeatable output

Cons

  • Free plan limits editors to 3 and AI agent use to a few calls a month
  • Per-editor pricing grows quickly for larger analytics groups
  • Heavy compute and extra AI use are billed on top of the bundled credits

Livedocs

Livedocs sits between a BI tool and a Jupyter notebook: you ask in English, it writes the SQL and the chart, and the notebook stays inspectable rather than becoming a black box. Compute tiers rather than seat counts drive the price, which is honest for analytical work. Watch the second meter — AI usage is billed on top of the plan once the $5 credit is gone.

Pros

  • Free tier is permanent, with three notebooks and real compute
  • Generates SQL, charts and dashboards from plain-language questions
  • Compute is stated per tier in RAM and vCPUs rather than left vague
  • Pro adds scheduling, a terminal and collaboration on all data sources

Cons

  • AI usage is metered separately once the $5 credit runs out
  • Free and Builder tiers are restricted to basic data sources
  • Extra Pro members cost $20 each on top of the $30 base
  • No public API documentation

Which one fits

Choose Deepnote if you need

  • Data teams that want real-time collaboration on Python and SQL notebooks
  • Analysts who publish results as data apps and scheduled reports
  • Developers who prefer to work locally in an editor and scale up in the cloud

Choose Livedocs if you need

  • analysts who want generated SQL they can read and edit
  • small teams replacing ad-hoc spreadsheets with shared notebooks
  • scheduled reporting on connected warehouses

Deepnote vs Livedocs: the questions people ask

Is Deepnote cheaper than Livedocs?

They charge in different units, so there is no like-for-like answer: Deepnote starts at $39/seat/mo, Livedocs at $15/mo. Entry price is the lowest paid plan as we last verified it.

Does Deepnote or Livedocs have a free tier?

Both: Deepnote has a free tier, and Livedocs has a free tier.

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