Deepnote vs Julius AI

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

Free plan: Both have one
Higher Trust score: Julius AI — 92 vs 84 for Deepnote
Best fit: Deepnote: Data teams that want real-time collaboration on Python and SQL notebooks · Julius AI: Marketers, founders and students who need quick descriptive statistics and charts from CSV or Excel files
Platforms: Deepnote: Web, VS Code extension · Julius AI: Web
Status: Both up at our last check — Deepnote Oct 2, 2026, Julius AI Sep 6, 2026

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

DeepnoteCollaborative cloud notebook for Python, SQL and R with an AI agent, scheduled runs and shareable data apps.

Julius AIChat interface that writes and runs Python over your spreadsheets and databases to answer analysis questions

Side by side

Fact	Deepnote	Julius AI
Category	Data Analysis Assistants	Data Analysis Assistants
Pricing model	Freemium	Freemium
Starts at	$39/seat/mo	—
Trust score	84 / 100	92 / 100
Platforms	Web, VS Code extension	Web
Company	Deepnote, Inc.	Caesar Labs, Inc.
Last verified	Oct 2, 2026	Sep 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

Julius AI

Julius is the pick for an analyst who wants a chart or a regression from a spreadsheet in a sentence and can read the generated Python well enough to check it. It stops short of being infrastructure: there is no API to call it from your own product, data leaves your machine for its cloud, and the plan line-up has shifted often enough that the price you read in a review is probably not the one at checkout.

Pros

Executes real Python rather than guessing numbers from text, and shows the code it ran
Produces charts, Excel workbooks and slides from one chat, not just answers
Connectors for databases and ad platforms and a secret-key store for calling your own services
Vendor states uploaded data is not used to train models, and offers a free tier to test with

Cons

No public API or embedding path for other products
Pricing has changed repeatedly and the site blocks non-browser reads, so the current rate must be checked at checkout
Message and credit caps on paid tiers can be exhausted by a single large exploratory session
Entity naming differs between the terms (Caesar Labs, Inc.) and the privacy policy (Julius AI Inc.)

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 Julius AI if you need

Marketers, founders and students who need quick descriptive statistics and charts from CSV or Excel files
Analysts who want a first pass at cleaning, joins and visualisation before refining it themselves
Teams connecting Snowflake or ad-platform data for ad-hoc questions without a BI project