Data Notebooks · Reviewed 26 Oct 2026

Deepnote

AI-powered collaborative data science notebook for Python, SQL, and R.

free tier · deepnote.com ↗

Paid against free › Data Notebooks › Deepnote

Deepnote at a glance

Overview

01

Summary

The useful answer before the supporting detail.

Deepnote is a cloud-based workspace for data analysis, exploration, and machine learning, supporting Python, SQL, and no-code tools S1. It is used by data analysts and scientists to connect data, collaborate with teams, and share insights S4 S1. The platform provides AI assistance, pre-installed libraries, and the ability to publish notebooks as dashboards or apps, streamlining the path from raw data to actionable insights S1 S9.

02

Product identity and positioning

Name, category, positioning, audience, and first-party claims.

  • Identity: Deepnote is a collaborative data science notebook platform S1.
  • Core purpose: It solves the problem of fragmented data analysis by providing a unified workspace for exploration, collaboration, and sharing S4 S1.
  • Intended users: Data analysts, data scientists, and teams working with data S43 S115.
  • Product scope: A cloud-based web application that combines notebooks, data connections, AI assistance, and publishing capabilities S43 S1 S122.
  • Positioning: Positioned as an open data workspace built for humans and agents, emphasizing collaboration and AI integration S43.
  • Claimed distinction: Claims to make data security easier with complete control over data access and security, and to support terabyte-scale data S43.
03

Use cases and audiences

Who the product serves and the jobs it is designed to handle.

AudiencePractical use case
Data analystsExplore data, generate visualizations, and share insights with stakeholders S4 S1.
Data scientistsBuild and run machine learning models, from data preparation to deployment S1 S43.
Data teamsCollaborate on shared projects, automate reports, and maintain trusted metrics S1 S122.
Educators and studentsUse auto-grading solutions and templates for teaching data science S15 S10.
OrganizationsBuild secure and auditable workspaces for humans and agents S115.

Features

09

Features and capabilities

Core functions and evidence-backed product capabilities.

CapabilityWhat it does
AI-powered assistanceGenerate code, visualizations, and delegate multi-step tasks to a sidebar agent S1.
Multi-language supportWrite and execute Python, SQL, and R code within the same notebook S1 S122 S138.
Data connectivityIntegrate with over 60 data sources, including BigQuery, Snowflake, and PostgreSQL S1.
CollaborationWork together in real-time, comment on blocks, and organize analyses in shared projects S1 S43.
PublishingTurn notebooks into dashboards, data apps, or APIs S1 S43.
Pre-installed packagesAccess key data analytics and ML Python libraries off the shelf S9.
REST APIManage projects, notebooks, and workflows programmatically S1.
MCP supportConnect through MCP-compatible tools like Cursor and AI modelCode S122.
10

Integrations and ecosystem

Connected products, exports, APIs, and workflow compatibility.

Integration or interfaceTypeWhat it enables
BigQuery, Snowflake, PostgreSQLIntegrationConnect to popular data warehouses and databases for analysis S1.
REST APIAPIManage projects, notebooks, and workflows programmatically S1.
MCP-compatible tools (Cursor, AI modelCode)AI interfaceAccess Deepnote notebooks and data within existing permissions S122.
StreamlitIntegrationPublish notebooks as interactive data apps S1.
GitHubIntegrationShare projects and version control notebooks S122.
SAML/OIDCIntegrationEnable single sign-on and directory sync for security S43.
Import/export .ipynbData portabilityBring existing notebooks or export for use elsewhere S115 S122.

Pricing

11

Pricing and plans

Published plans, free access, trials, credits, and pricing limitations.

Plan or offerVerified price and billingIncludedLimits
Free$0 S11510 AI completions and 5 agent calls a month; Basic machines S115Up to 3 editors, 5 projects; 7-day version history; no scheduling S115
Team$39 per editor per month, billed yearly S115$39 AI credits a month; CPU and GPU credits included S115Unlimited editors and projects; Git sync; scheduling; 30-day version history S115
EnterpriseContact sales S115Unlimited AI; bring your own model S115Custom machines; single-tenant or private cloud; unlimited version history S115

Competition

12

Competitive landscape

Domains competing for the same organic search demand.

Sampled competitors

CompetitorFirst-page appearancesSampled queriesAverage positionQueries observed
linkedin.com223.5deepnote, deepnote logo
github.com112deepnote
reddit.com114deepnote
g2.com115deepnote
youtube.com116deepnote
shecancode.io117deepnote
ycombinator.com118deepnote logo

Website intelligence — Collected evidence

Customers, testimonials, and first-party review claims

No supporting public-page evidence was collected for this category.

Independent review sources discovered

No links to supported independent review platforms were discovered on the collected pages.

Website intelligence — Scout synthesis

Scout inference: The catalog does not contain direct competitor comparisons. However, Deepnote's positioning as a collaborative notebook platform with AI agents and data apps suggests competition with Jupyter, Google Colab, Databricks, and Hex. The mention of "Switching from JupyterHub to Deepnote" in a testimonial indicates a direct competitive target W128.

14

AI visibility

Measured ChatGPT and Google AI mentions with cited sources.

AI-assistant referral traffic

  • Estimated current generative-AI referral share: 3.0%
MonthSource
—All AI assistants

Website intelligence — Collected evidence

Site-stated AI capabilities

Page typeEvidenceSource
featuresPurpose-built for machine learning professionals to streamline model development, optimization, and deployment.https://deepnote.com/solutions/machine-learning
featuresGo from raw data to a shared insight in one workspace. Connect your data, analyze it with Python and AI, and turn the results into an analysis your team can use.https://deepnote.com/solutions/python-notebook
featuresPurpose-built for machine learning professionals to streamline model development, optimization, and deployment.https://deepnote.com/solutions/machine-learning
pricing$39 worth of AI credits every monthhttps://deepnote.com/pricing
pricingAI usage is billed on a usage basis. Each plan includes a monthly AI quota, and usage beyond it is billed as pay-as-you-go. To keep AI spending predictable, workspace admins can set a custom monthly overage limit in the workspace settings, and will receive emails as usage approaches or exceeds the included quota. Admins can also review token consumption and cost per user or across the workspace in the workspace settings.https://deepnote.com/docs/billing-alerts-and-limits
pricingDeepnote AI usage is billed on a usage basis. Each plan includes a monthly AI quota, and usage beyond the quota is billed as pay-as-you-go. Workspace admins can set a custom monthly overage limit to cap spending, and receive quota-related emails as usage approaches or exceeds the included allowance. Admins can also review token consumption and cost per user or across the workspace in the workspace settings. Note that the Free plan includes a limited number of AI requests per month.https://deepnote.com/docs/pricing
integrationsYour AI workspace for data analysis, exploration, and machine learninghttps://deepnote.com/docs/getting-started
integrationsDeepnote is a workspace for data analysis with Python, SQL, and no-code tools. Connect your data, work with teammates, use AI assistance, and publish notebook results as dashboards or apps.https://deepnote.com/docs/getting-started
integrations[Analyze with AI](#analyze-with-ai)https://deepnote.com/docs/getting-started
integrationsDescribe and visualize: Generate visualizations and code by describing your goal.https://deepnote.com/docs/getting-started
integrationsAuto AI: Write, execute, and debug code with AI.https://deepnote.com/docs/getting-started

These are first-party product claims, not independent measurements of AI-search visibility.

Website intelligence — Scout synthesis

First-party claims:

  • Homepage promotes "Agent Workspace" and "Build autonomous data agents" W3W18.
  • Pricing page mentions "GPT-5.6 Sol and Sonnet 4.6 access" and "$39 worth of AI credits every month" on Team plan W34W35.
  • Documentation describes AI usage billing with monthly quotas and overage limits W65W83.
  • SQL notebook page shows an example of @Deepnote Agent answering a question about a data dip W232W233.

Scout inference: Deepnote is actively integrating AI agents into its product, which may influence AI-based search visibility (e.g., appearing in AI-generated answers). The specific model names (GPT-5.6, Sonnet 4.6) are likely placeholders or future models, but they indicate a forward-looking AI strategy.

15

Marketing opportunities

Actions calculated directly from the collected evidence.

OpportunityRecommended actionEvidence
Competitor gap2 first-page appearances across deepnote, deepnote logo

Website intelligence — Collected evidence

Website evidence gaps

  • customers: no usable public page was collected; verify whether the site publishes this evidence.
  • reviews: no usable public page was collected; verify whether the site publishes this evidence.
  • changes: no usable public page was collected; verify whether the site publishes this evidence.
  • identity: no usable public page was collected; verify whether the site publishes this evidence.
  • technical: no usable public page was collected; verify whether the site publishes this evidence.

Website intelligence — Scout synthesis

First-party claims:

  • Education plan available for students, teachers, and researchers, with almost all Team features for free W85.
  • Auto-grading solutions documented for educational use cases W89.
  • Product portal for feature voting and feedback W110.

Scout inference: The education focus (auto-grading, education plan) presents a clear content marketing opportunity to target academic audiences. The product portal can be leveraged for community engagement and SEO content around feature requests. The "data apps" and "machine learning" solution pages target high-value commercial keywords W112W156.

Trust and proof

16

Customers, proof, and reviews

Published proof, customer signals, and review evidence.

Independent reviews

PlatformPageHow it was foundNote
G2Deepnote - AI Marketplace / G2Grounded web searchTop Positive Mentions Getting code suggestions and fixes while coding 90% positive (30 mentions) Top Negative Mentions Built-in AI satisfaction 100% negative (7 mentions) ... s like having a smart coding companion that helps me get unstuck without
ToolRadarDeepnote Reviews, Pricing & Alternatives (2026) - 4.5/5Grounded web search## Ratings Across the Web 4.5(378 reviews) Deepnote holds an aggregate rating of 4.5 out of 5 from 378 reviews across G2, last checked March 19, 2026. G2 378 reviews 4.5/5 Ratings aggregated from independent review platforms. Learn more
RightAIChoiceDeepnote Pricing & Features (2026) / RightAIChoiceGrounded web searchDeep ... 5 mentions across 5 sources (Hacker News, YouTube, Product Hunt, Stack Overflow, GitHub), 22 more we could not attribute · researched Oct 11, 2026. 53% positive 47% critical ... - + Real-time multi-cursor editing makes notebook collaboration feel like Google Docs for data - + Consistently praised as the best Jupyter interface among managed notebook competitors - + Scheduling with self-pausing after repeated failures prevents silent cost bleed from broken jobs - + 100+ integrations inclu
rfp.wikiDeepnote · Rating Snapshot: Score & Reviews (2026)Grounded web search/ Source/Feature / Score & Rating / Details & Insights / / --- / --- / --- / / G2 / 4.5 / 381 reviews / / / 4.7 / 3 reviews / / Software Advice / 4.7 / 3 reviews / / RFP.wiki Score / 3.8 / Review Sites Score Average: 4.6 Features Scores Average: 4.1 /
checkthat.aiDeepnoteGrounded web searchG2 ratings of 4.5 out of 5 stars from 350+ verified reviews represent the most statistically significant dataset. Capterra shows 4.7 stars from 3 reviews, while TrustRadius reflects positive sentiment from verified business users.

Customer proof

No named customers, testimonials, or customer case studies were found.

Independent mentions

  • Launch HN: Deepnote (YC S19) – A better data science notebook / Hacker News — Launch HN: Deepnote (YC S19) – A better data science notebook 316 points by Equiet on Oct 30, 2020 / hide / past / favorite ... Hello HN, I'm Jakub and I'm the founder of Deepnote (https://deepnote.com/). We're building a better data science notebook.
  • Deepnote, a Jupyter alternative, is going open source / Hacker News — Way to undermine an interesting product launch through poorly chosen language: > Let’s be frank the single‑player notebook has felt outdated for a while now. We’re open‑sourcing its successor. Jupyter belongs in the hall of great ideas — alongside “Hello, world.” and “View Source.” If you're trying to reach out to the Python community this is not the way to do it. Completely unnecessary hostile language there! Have some respect. My advice to Deepnote is to scrap this launch announcement (ideally
  • Deepnote Reviews & Alternatives 2026: Complaints, Ratings & Better Options / AI Data Analysis Tools — Users experience lagging performance with Deepnote, ... Users face slow loading times in Deepnote, particularly with larger projects ... which can hinder productivity and frustrate experiences. Users find missing features in Deepnote
  • Deepnote customers — ## Loved by data teams of all sizes 4.5 out of 5 stars on G2 3x faster time to insight and value Create tighter feedback loops and get answers in minutes instead of weeks. Collaborate directly on data or models. 28% improvement in data team

External links were grounded in one live web search. Search snippets are leads, not independently scraped page content; rejected links remain available in Review evidence.

17

Company, security, and trust

Ownership, policies, security signals, and public trust evidence.

SignalFindingSource
Company and ownershipAre you part of another community and don’t have an academic email? You might still qualify for the Education plan. Get in touch with us.source
Contact and supportContact help@deepnote.com for support.source
Legal and privacy✦summarize and cancel fraudulent transactions by countrysource
Security and complianceAll data is secure and encrypted. Deepnote is compliant with HIPAA and SOC 2, GDPR, and more.source
Uptime and status pageNot published on the collected pages.—
Domain registered2003-04-08—
Domain expires2027-04-08—

Not found on the collected pages: uptime and status page. This only means Scout did not find it on the pages it read; it says nothing about the company itself.

18

Documentation and product updates

Help resources, product guidance, and visible changes over time.

Resource or updateTypeWhat is availableDate or freshness
Welcome to Deepnote - Deepnote docsDocumentationYour AI workspace for data analysis, exploration, and machine learning (source)Not dated
Billing alerts and limits - Deepnote docsDocumentationExplore data with Python & SQL, work together with your team, and share insights that lead to action — all in one place with Deepnote. (source)Not dated
Pre-installed packages - Deepnote docsDocumentationExplore data with Python & SQL, work together with your team, and share insights that lead to action — all in one place with Deepnote. (source)Not dated
Plans and billing - Deepnote docsDocumentationQuestions & answers about plans and pricing (source)Not dated
How to create a product-led growth CRM in NotionGuideLearn how to drive your product-led growth from Notion and use Deepnote to keep your CRM up to date. (source)Not dated
Auto-grading - Deepnote docsDocumentationExplore data with Python & SQL, work together with your team, and share insights that lead to action — all in one place with Deepnote. (source)Not dated
Product portal - Deepnote docsDocumentationSee what Deepnote has launched, what is coming soon, and vote on new features. (source)Not dated
How Slido brings a product mindset to analytics engineeringProduct updateProduct update is publicly available. (source)Not dated

Not found in the collected public sources: public roadmap, changelog or release notes, status page, separate help center or knowledge base.

Technical

19

Technical and delivery signals

Delivery model, platforms, API, data ownership, reliability claims and release activity.

SignalFindingSource
Delivery model (cloud, self-hosted, desktop, browser extension)Deepnote runs seamlessly in the cloud S43.S43
Platforms and appsWeb application S43.S43
API and extensibility (API, SDK, webhooks, MCP, plugins)Offers a REST API and MCP support S1 S122.S1 S122
Data ownership and exportSupports import and export of .ipynb files S115 S122.S115 S122
Performance and reliability claimsSupports terabyte-scale data and serverless Spark clusters S43.S43
Release activityProduct portal shows launched and upcoming features S20.S20
20

Measured infrastructure

Domain, certificate, and hosting signals, measured directly.

SignalFinding
Domain registered2003-04-08 — NameCheap, Inc.
Domain expires2027-04-08
First archived2003-07-17 — web archive
TLS certificateAmazon, valid, expires 2027-01-30
Security headersHSTS, X-Content-Type-Options, X-Frame-Options, Referrer-Policy
Headers not servedCSP
Mail handled byaspmx.l.google.com, alt1.aspmx.l.google.com
Nameserversns-102.awsdns-12.com, ns-1375.awsdns-43.org
21

Technical site audit

A bounded multi-page crawl with page-level issues and URLs.

Scout — Bounded technical crawl

  • Pages crawled: 15 of 15 maximum
  • Technical health: 91/100
  • Critical issues: 0
  • Warnings: 27
  • Notices: 3

Issues

SeverityIssueValueAffected URL
warningMissing canonical URL—https://deepnote.com/
noticeMeta description length should be reviewed184https://deepnote.com/research
warningMissing canonical URL—https://deepnote.com/research
warningTitle length should be reviewed9https://deepnote.com/manifesto
warningPage should have one primary H12https://deepnote.com/manifesto
warningMissing canonical URL—https://deepnote.com/manifesto
warningMissing canonical URL—https://deepnote.com/docs/deepnote-ai
noticeMeta description length should be reviewed384https://deepnote.com/docs/data-apps
warningMissing canonical URL—https://deepnote.com/docs/data-apps
warningMissing canonical URL—https://deepnote.com/docs/notebooks
warningMissing canonical URL—https://deepnote.com/docs/scheduling
warningMissing canonical URL—https://deepnote.com/docs/semantic-layer
noticeMeta description length should be reviewed31https://deepnote.com/docs/integrations
warningMissing canonical URL—https://deepnote.com/docs/integrations
warningMissing canonical URL—https://deepnote.com/docs/etl-elt-pipelines
warningMissing canonical URL—https://deepnote.com/docs/data-catalogs
warningMissing canonical URL—https://deepnote.com/docs/spark
warningMissing canonical URL—https://deepnote.com/docs/code-reviews
warningMissing canonical URL—https://deepnote.com/docs/history
warningMissing canonical URL—https://deepnote.com/docs/audit-log
warningDuplicate meta description in audit sample10https://deepnote.com/
warningDuplicate meta description in audit sample10https://deepnote.com/manifesto
warningDuplicate meta description in audit sample10https://deepnote.com/docs/scheduling
warningDuplicate meta description in audit sample10https://deepnote.com/docs/semantic-layer
warningDuplicate meta description in audit sample10https://deepnote.com/docs/etl-elt-pipelines
warningDuplicate meta description in audit sample10https://deepnote.com/docs/data-catalogs
warningDuplicate meta description in audit sample10https://deepnote.com/docs/spark
warningDuplicate meta description in audit sample10https://deepnote.com/docs/code-reviews
warningDuplicate meta description in audit sample10https://deepnote.com/docs/history
warningDuplicate meta description in audit sample10https://deepnote.com/docs/audit-log

Crawled pages

StatusTitleH1sWordsResponseURL
200Deepnote: Collaborative analytics & data science notebook12013526 mshttps://deepnote.com/
200Research notes from agent developers — Deepnote1927402 mshttps://deepnote.com/research
200Manifesto2250063 mshttps://deepnote.com/manifesto
200Deepnote AI - Deepnote docs11037505 mshttps://deepnote.com/docs/deepnote-ai
200Data apps - Deepnote docs12577326 mshttps://deepnote.com/docs/data-apps
200Notebooks - Deepnote docs11121760 mshttps://deepnote.com/docs/notebooks
200Scheduling - Deepnote docs11103436 mshttps://deepnote.com/docs/scheduling
200Semantic layer - Deepnote docs11024490 mshttps://deepnote.com/docs/semantic-layer
200Integrations - Deepnote docs11090515 mshttps://deepnote.com/docs/integrations
200ETL/ELT pipelines - Deepnote docs1965638 mshttps://deepnote.com/docs/etl-elt-pipelines
200Data catalogs and documenting data with Deepnote - Deepnote docs1947674 mshttps://deepnote.com/docs/data-catalogs
200Spark - Deepnote docs11162397 mshttps://deepnote.com/docs/spark
200Code reviews - Deepnote docs11570704 mshttps://deepnote.com/docs/code-reviews
200Version history - Deepnote docs11021302 mshttps://deepnote.com/docs/history
200Audit log - Deepnote docs1765344 mshttps://deepnote.com/docs/audit-log

This is a bounded Scout crawl. Core Web Vitals and Lighthouse scores are not claimed unless a dedicated performance audit is connected.

22

Search Console and Analytics

First-party search and behavioral data connection state.

Modeled acquisition channels

ChannelEstimated share
direct31.3%
search40.4%
search organic39.1%
search paid1.2%
social5.3%
social organic4.8%
social paid0.5%
referrals12.4%
paid referrals1.3%
mail6.4%
gen ai3.0%
affiliate0.0%
other0.0%

First-party connections

IntegrationStatusData available after connection
Google Search ConsoleNot connectedClicks, impressions, CTR, average position, queries, pages, countries, and devices
Google AnalyticsNot connectedOrganic sessions, engagement, landing pages, conversions, geography, and devices

No first-party Search Console or Analytics numbers are shown until the site owner authorizes the corresponding Google account. Scout traffic model values above are modeled estimates, not private analytics totals.

Website intelligence — Scout synthesis

Scout inference: No search console or analytics data is provided in the catalog. The homepage includes internal metrics like weekly signups and pipeline by segment, but these are not SEO-related W8W9.

Limits and method

23

Limitations and open questions

Known constraints and missing evidence from the collected pages.

The collected pages do not mention specific competitors. Evidence gaps include lack of detailed security certifications, uptime statistics, and specific customer counts. Open questions remain about the exact pricing for Enterprise plans and the full scope of AI capabilities.

24

Sources, method, and limitations

Evidence inventory, collection method, provider use, and constraints.

This report is based on 15 collected pages from deepnote.com, including documentation, pricing, and solution pages. The evidence catalog includes 180 items from these pages. External proof search was performed but no additional verification was completed. Limitations include that some pages were not fully scraped, and customer testimonials are from the vendor's site and may not be independently verified.

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