Overview
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.
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.
Use cases and audiences
Who the product serves and the jobs it is designed to handle.
| Audience | Practical use case |
|---|---|
| Data analysts | Explore data, generate visualizations, and share insights with stakeholders S4 S1. |
| Data scientists | Build and run machine learning models, from data preparation to deployment S1 S43. |
| Data teams | Collaborate on shared projects, automate reports, and maintain trusted metrics S1 S122. |
| Educators and students | Use auto-grading solutions and templates for teaching data science S15 S10. |
| Organizations | Build secure and auditable workspaces for humans and agents S115. |
Traffic and search
SEO analysis
Collected Oct 24, 2026deepnote.com: an estimated 253,124 total monthly visits and about 12,510 monthly organic visits across 2,833 ranking keywords. Scout crawled 15 pages and measured a technical health score of 91/100.
Search summary
The useful answer before the supporting detail.
Explore data with Python & SQL, work together with your team, and share insights that lead to action — all in one place with Deepnote. deepnote.com: an estimated 253,124 total monthly visits and about 12,510 monthly organic visits across 2,833 ranking keywords. Scout crawled 15 pages and measured a technical health score of 91/100.
- Total traffic (modeled): 253,124 monthly visits across all channels.
- Organic search traffic (estimated): 12,510 monthly visits from search.
- Strongest sampled ranking: deepnote at position 1.
- Leading page in the collected evidence: https://deepnote.com/.
- Closest measured organic competitor: linkedin.com, appearing 2 times in the sampled first-page SERPs.
- Technical crawl: 15 pages, health score 91/100.
Website intelligence — Collected evidence
Company identity and positioning
| Page type | Evidence | Source |
|---|---|---|
| other | Explore data with Python & SQL, work together with your team, and share insights that lead to action — all in one place with Deepnote. | https://deepnote.com/ |
| other | The open data workspace built for humans agents | https://deepnote.com/ |
| other | Everything your team and agents need to explore data, automate insights, and make better decisions. | https://deepnote.com/ |
| other | published · shared with revenue team | https://deepnote.com/ |
| other | Headless components for your agents, a beautiful UI for your team, both connected to your existing data via 100+ integrations through API or MCP. | https://deepnote.com/ |
| other | Turn analyses into assets for your team. | https://deepnote.com/ |
| other | Collaborate with the whole team | https://deepnote.com/ |
| other | Deepnote runs seamlessly in the cloud, making environment management and collaboration with your team a non-issue. And sharing work is as easy as sending a link or email invite. | https://deepnote.com/ |
| other | Have your team comment on blocks to ask questions, provide feedback, and work faster. | https://deepnote.com/ |
| other | Connect to your data in seconds with built-in integrations for the most popular warehouses, databases, and lakehouses. | https://deepnote.com/ |
| other | MLOps platform engineer | https://deepnote.com/ |
| other | > Implementing Deepnote was as easy as connecting to BigQuery, and analysts were quickly using Deepnote as their preferred tool for analytics. | https://deepnote.com/ |
Website intelligence — Scout synthesis
Deepnote positions itself as an open data workspace for both humans and agents, emphasizing collaborative analytics, data science notebooks, and AI-powered workflows W5W6. The homepage highlights an "Agent Workspace" and capabilities like generating dashboards and data apps W3W7. Pricing is structured across Free, Team, and Enterprise plans, with Team at $39/editor/month (billed yearly) and Enterprise on custom contracts W32W40. The site also showcases significant adoption claims, including "600,000+ data professionals" and weekly signups of 128k W8W117. Documentation covers billing, auto-grading, and product portals, indicating a focus on both enterprise and educational use cases W51W89W110.
Domain performance
Modeled total traffic, six-month trend, engagement, countries, and domain identity.
Total website traffic
| Month | Modeled visits |
|---|---|
| 2026-04 | 214,747 |
| 2026-05 | 192,888 |
| 2026-06 | 203,019 |
| 2026-07 | 175,357 |
| 2026-08 | 198,100 |
| 2026-09 | 253,124 |
Top visitor countries
| Country | Name | Traffic share |
|---|---|---|
| US | United States | 12.8% |
| BR | Brazil | 11.8% |
| IN | India | 7.3% |
| DE | Germany | 5.7% |
| DK | Denmark | 5.0% |
Domain identity
| Signal | Value |
|---|---|
| Registered | Apr 8, 2003 |
| Last changed | Mar 9, 2026 |
| Expires | Apr 8, 2027 |
| WHOIS server | whois.verisign-grs.com |
| DNSSEC | Not signed |
| Nameservers | NS-102.AWSDNS-12.COM, NS-1375.AWSDNS-43.ORG, NS-1897.AWSDNS-45.CO.UK, NS-973.AWSDNS-57.NET |
Website capture

Organic keywords
Top keywords and an independent Google result page.
Top organic keywords
| Keyword | Volume | CPC | Estimated value |
|---|---|---|---|
| deepnote | 9,750 | $3.11 | $7,040 |
| ipynb to pdf | 45,410 | $3.76 | $1,440 |
| ai checker | 5,012,590 | $0.47 | $600 |
| deepnote cant open 2 terminal | 270 | $0.00 | $550 |
| venn diagram maker | 12,240 | $0.71 | $370 |
Independent Google result page
Query: deepnote
| Position | Title | URL | Description |
|---|---|---|---|
| 1 | Deepnote: Collaborative analytics & data science notebook | https://deepnote.com/ | Explore data with Python & SQL, work together with your team, and share insights that lead to action — all in one place with Deepnote. |
| 2 | Education overview - Deepnote docs | https://deepnote.com/docs/edu-overview | Deepnote is a collaborative data notebook revolutionizing how people approach data science. It provides a powerful, cloud-based workspace that allows users to ... |
| 3 | Deepnote | https://github.com/deepnote/deepnote | Deepnote is a data notebook for the AI era. Deepnote is used by 500,000+ data professionals at companies like Estée Lauder, SoundCloud, Statsig, Gusto, and ... |
| 4 | Deepnote Pricing | https://deepnote.com/pricing | Explore data with Python & SQL, work together with your team, and share insights that lead to action — all in one place with Deepnote. |
| 5 | Deepnote | https://www.linkedin.com/company/deepnote | Deepnote is a data workspace where agents and humans work together. It's designed to simplify data exploration, accelerate analysis, and quickly deliver ... |
| 6 | Notebooks - Deepnote docs | https://deepnote.com/docs/notebooks | Notebooks are computational documents that combine code, visualizations, and text. They changed data forever, and they've become even more powerful in Deepnote. |
| 7 | Sign in | https://deepnote.com/sign-in | By signing up for a Deepnote account, you agree to our Terms of Service and Privacy Policy, including how we collect, use, and share your personal data. |
| 8 | How is Deepnote as a Notebook? : r/datascience | https://www.reddit.com/r/datascience/comments/vocwzt/how_is_deepnote_as_a_notebook/ | Is Deepnote better than something like Google Colab? |
| 9 | Work at Deepnote | https://deepnote.com/join-us | Data work is moving to agents. We are building the workspace where data teams define, run, and govern work across skills, agents, and apps. Join us. |
| 10 | Deepnote = Jupyter notebook for collaboration | https://www.youtube.com/watch?v=ttYc9I2YrFY | Start using deepnote for free: https://deepnote.com/?... Deepnote is a new data notebook that allows data teams to collaborate better. |
Important pages
Pages earning the most estimated search traffic in the sample.
Website intelligence — Collected evidence
Prioritized website intelligence pages
| Type | Page | Words | Change | URL |
|---|---|---|---|---|
| other | Deepnote: Collaborative analytics & data science notebook | 1,340 | new | https://deepnote.com/ |
| pricing | Deepnote Pricing | 413 | new | https://deepnote.com/pricing |
| pricing | Billing alerts and limits - Deepnote docs | 410 | new | https://deepnote.com/docs/billing-alerts-and-limits |
| pricing | Plans and billing - Deepnote docs | 787 | new | https://deepnote.com/docs/pricing |
| features | Auto-grading - Deepnote docs | 626 | new | https://deepnote.com/docs/auto-grading-solutions |
| features | Product portal - Deepnote docs | 44 | new | https://deepnote.com/docs/product-portal |
| features | Data apps | 349 | new | https://deepnote.com/solutions/data-apps |
| features | Data teams | 357 | new | https://deepnote.com/solutions/data-teams |
| features | Machine Learning | 272 | new | https://deepnote.com/solutions/machine-learning |
| features | Online Python notebook built for collaboration — Deepnote | 1,614 | new | https://deepnote.com/solutions/python-notebook |
| features | Run an R notebook online and share your analysis \ | static | 1,591 | new |
| features | SQL notebook to query, explain, and share your data \ | static | 1,789 | new |
| integrations | Welcome to Deepnote - Deepnote docs | 300 | new | https://deepnote.com/docs/getting-started |
| integrations | All integrations | 206 | new | https://deepnote.com/integrations |
| integrations | Download files in app | 322 | new | https://deepnote.com/app/deepnote/Download-files-in-app-03df4fac-84e9-45c0-aff6-691016698a7b |
Features
| Page type | Evidence | Source |
|---|---|---|
| features | Deepnote research: our notes on building agents | https://deepnote.com/docs/auto-grading-solutions |
| features | ](/research) | https://deepnote.com/docs/auto-grading-solutions |
| features | Book a demoGet started | https://deepnote.com/docs/auto-grading-solutions |
| features | Search the docs⌘K | https://deepnote.com/docs/auto-grading-solutions |
| features | ExploreSearch the docs | https://deepnote.com/docs/auto-grading-solutions |
| features | Auto-grading | https://deepnote.com/docs/auto-grading-solutions |
| features | Deepnote doesn't have integrated auto-grading solutions, but we've put together a list of useful packages that will do the job for you. Each library has a different setup and uses slightly different grading mechanisms. | https://deepnote.com/docs/auto-grading-solutions |
| features | The simplest solution is to include the tests in the student's assignments. This allows students to run the tests themselves. Keep in mind, it may also allow them to potentially use the tests to skirt the assignment. | https://deepnote.com/docs/auto-grading-solutions |
| features | The auto-grading solutions below don't provide comprehensive support for grading multiple hundreds of assignments. | https://deepnote.com/docs/auto-grading-solutions |
| features | There are three types of tests: unit tests, hidden unit tests with immediate scores, and hidden unit tests with scores after submission. Sometimes you may want to test a variable value, not a function, so those are included first. | https://deepnote.com/docs/auto-grading-solutions |
| features | [1\. OKpy library](#1-okpy-library) | https://deepnote.com/docs/auto-grading-solutions |
| features | The ok.py software was developed for CS 61A at UC Berkeley. This library supports programming projects by running tests, tracking progress, and assisting in debugging. You can find the entire GitHub repository for the library here! | https://deepnote.com/docs/auto-grading-solutions |
| features | Check out our Deepnote notebook with OKpy library template to learn more. You can duplicate it and use it for your own purposes. | https://deepnote.com/docs/auto-grading-solutions |
| features | [2\. Tests from imported files](#2-tests-from-imported-files) | https://deepnote.com/docs/auto-grading-solutions |
| features | This is a simple test that functions with asserts in separate files. A useful thing about separate files is that they can be switched later. | https://deepnote.com/docs/auto-grading-solutions |
| features | Check out our Deepnote notebook with tests from imported files template to learn more. You can duplicate it and use it for your own purposes. | https://deepnote.com/docs/auto-grading-solutions |
| features | [3\. Inline tests](#3-inline-tests) | https://deepnote.com/docs/auto-grading-solutions |
| features | In-line tests are small pieces of code used to test a specific function or aspect of a more extensive program. They're often used to validate the correctness of code and ensure it's working as intended. In-line tests are usually written within the same file as the code being tested, hence their name. | https://deepnote.com/docs/auto-grading-solutions |
| features | Check out our Deepnote notebook with inline tests template to learn more. You can duplicate it and use it for your own purposes. | https://deepnote.com/docs/auto-grading-solutions |
| features | [4\. Doc tests](#4-doc-tests) | https://deepnote.com/docs/auto-grading-solutions |
Pricing and plans
| Page type | Evidence | Source |
|---|---|---|
| pricing | Scale your team with the perfect plan. | https://deepnote.com/pricing |
| pricing | A free version for aspiring data analysts and scientists. | https://deepnote.com/pricing |
| pricing | Free includes… | https://deepnote.com/pricing |
| pricing | per editor/month billed yearly | https://deepnote.com/pricing |
| pricing | Try 14 days for free | https://deepnote.com/pricing |
| pricing | Everything in Free plus… | https://deepnote.com/pricing |
| pricing | $39 worth of AI credits every month | https://deepnote.com/pricing |
| pricing | $280 worth of CPU every month | https://deepnote.com/pricing |
| pricing | $50 worth of GPU every month | https://deepnote.com/pricing |
| pricing | Try for freeTry 14 days for free | https://deepnote.com/pricing |
| pricing | 10 completions per month | https://deepnote.com/pricing |
| pricing | 5 calls per month | https://deepnote.com/pricing |
| pricing | Free compute ($112/month worth) | https://deepnote.com/pricing |
| pricing | Unified billing across multiple workspaces | https://deepnote.com/pricing |
| pricing | per editor/month billed monthly | https://deepnote.com/pricing |
| pricing | Billing alerts and limits | https://deepnote.com/docs/billing-alerts-and-limits |
| pricing | [Billing alerts](#billing-alerts) | https://deepnote.com/docs/billing-alerts-and-limits |
| pricing | You can set up a billing alert in the Billing & usage section of the workspace settings. The dollar limit will apply for calendar months, which are the billing period for the pay-as-you-go machines. When the alert limit is reached, all admins in the workspace will receive an email notification. | https://deepnote.com/docs/billing-alerts-and-limits |
| pricing | If you need to make sure to stay in your budget, you can choose to disable the pay-as-you-go machines in the Billing & usage section of the workspace settings. Changing the setting will immediately: | https://deepnote.com/docs/billing-alerts-and-limits |
| pricing | [Setting billing limits](#setting-billing-limits) | https://deepnote.com/docs/billing-alerts-and-limits |
Integrations and supported platforms
| Page type | Evidence | Source |
|---|---|---|
| integrations | Deepnote research: our notes on building agents | https://deepnote.com/docs/getting-started |
| integrations | ](/research) | https://deepnote.com/docs/getting-started |
| integrations | Book a demoGet started | https://deepnote.com/docs/getting-started |
| integrations | Search the docs⌘K | https://deepnote.com/docs/getting-started |
| integrations | ExploreSearch the docs | https://deepnote.com/docs/getting-started |
| integrations | Welcome to Deepnote | https://deepnote.com/docs/getting-started |
| integrations | Your AI workspace for data analysis, exploration, and machine learning | https://deepnote.com/docs/getting-started |
| integrations | Deepnote 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 | [Use Deepnote to](#use-deepnote-to) | https://deepnote.com/docs/getting-started |
| integrations | [Analyze with AI](#analyze-with-ai) | https://deepnote.com/docs/getting-started |
| integrations | Describe and visualize: Generate visualizations and code by describing your goal. | https://deepnote.com/docs/getting-started |
| integrations | Auto AI: Write, execute, and debug code with AI. | https://deepnote.com/docs/getting-started |
| integrations | Deepnote Agent: Delegate multi-step data tasks to a sidebar agent that can create and edit blocks, run code, and inspect outputs. | https://deepnote.com/docs/getting-started |
| integrations | Code completion: Use context-aware code suggestions as you type. | https://deepnote.com/docs/getting-started |
| integrations | [Unify](#unify) | https://deepnote.com/docs/getting-started |
| integrations | Connect data: Integrate with more than 60 data sources, including BigQuery, Snowflake, and PostgreSQL. | https://deepnote.com/docs/getting-started |
| integrations | Combine Python and SQL: Use both languages in the same notebook. | https://deepnote.com/docs/getting-started |
| integrations | Reuse modules: Build reusable components for ETL processes, analytics, and trusted metrics. Write them once and reuse them across projects. | https://deepnote.com/docs/getting-started |
| integrations | Define a semantic layer: Share reusable definitions and metrics across your organization. | https://deepnote.com/docs/getting-started |
| integrations | [Scale](#scale) | https://deepnote.com/docs/getting-started |
Product and company updates
No supporting public-page evidence was collected for this category.
Website intelligence — Scout synthesis
Key pages identified in the catalog:
- Homepage: `https://deepnote.com/` – primary landing page with product messaging and social proof W1.
- Pricing: `https://deepnote.com/pricing` – details plans and features W25.
- Solutions pages:
- Data apps: `https://deepnote.com/solutions/data-apps` W112
- Data teams: `https://deepnote.com/solutions/data-teams` W132
- Machine Learning: `https://deepnote.com/solutions/machine-learning` W156
- Python notebook: `https://deepnote.com/solutions/python-notebook` W174
- R notebook: `https://deepnote.com/solutions/r-notebook` W198
- SQL notebook: `https://deepnote.com/solutions/sql-notebook` W222
- Documentation pages:
- Billing alerts and limits: `https://deepnote.com/docs/billing-alerts-and-limits` W49
- Plans and billing: `https://deepnote.com/docs/pricing` W66
- Auto-grading: `https://deepnote.com/docs/auto-grading-solutions` W87
- Product portal: `https://deepnote.com/docs/product-portal` W108
Rank tracking
Persistent keyword baselines and position movement.
This analysis created the first position baseline at 2026-10-24T15:17:22.114Z. Movement appears after the next fresh analysis using the same location and language.
Website intelligence — Scout synthesis
Scout inference: The catalog does not include rank tracking data. However, the existence of dedicated solution pages for keywords like "python notebook", "r notebook", "sql notebook", "data apps", and "machine learning" suggests an intentional SEO strategy to rank for these terms W174W198W222W112W156.
Features
Features and capabilities
Core functions and evidence-backed product capabilities.
| Capability | What it does |
|---|---|
| AI-powered assistance | Generate code, visualizations, and delegate multi-step tasks to a sidebar agent S1. |
| Multi-language support | Write and execute Python, SQL, and R code within the same notebook S1 S122 S138. |
| Data connectivity | Integrate with over 60 data sources, including BigQuery, Snowflake, and PostgreSQL S1. |
| Collaboration | Work together in real-time, comment on blocks, and organize analyses in shared projects S1 S43. |
| Publishing | Turn notebooks into dashboards, data apps, or APIs S1 S43. |
| Pre-installed packages | Access key data analytics and ML Python libraries off the shelf S9. |
| REST API | Manage projects, notebooks, and workflows programmatically S1. |
| MCP support | Connect through MCP-compatible tools like Cursor and AI modelCode S122. |
Integrations and ecosystem
Connected products, exports, APIs, and workflow compatibility.
| Integration or interface | Type | What it enables |
|---|---|---|
| BigQuery, Snowflake, PostgreSQL | Integration | Connect to popular data warehouses and databases for analysis S1. |
| REST API | API | Manage projects, notebooks, and workflows programmatically S1. |
| MCP-compatible tools (Cursor, AI modelCode) | AI interface | Access Deepnote notebooks and data within existing permissions S122. |
| Streamlit | Integration | Publish notebooks as interactive data apps S1. |
| GitHub | Integration | Share projects and version control notebooks S122. |
| SAML/OIDC | Integration | Enable single sign-on and directory sync for security S43. |
| Import/export .ipynb | Data portability | Bring existing notebooks or export for use elsewhere S115 S122. |
Pricing
Pricing and plans
Published plans, free access, trials, credits, and pricing limitations.
| Plan or offer | Verified price and billing | Included | Limits |
|---|---|---|---|
| Free | $0 S115 | 10 AI completions and 5 agent calls a month; Basic machines S115 | Up 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 S115 | Unlimited editors and projects; Git sync; scheduling; 30-day version history S115 |
| Enterprise | Contact sales S115 | Unlimited AI; bring your own model S115 | Custom machines; single-tenant or private cloud; unlimited version history S115 |
Competition
Competitive landscape
Domains competing for the same organic search demand.
Sampled competitors
| Competitor | First-page appearances | Sampled queries | Average position | Queries observed |
|---|---|---|---|---|
| linkedin.com | 2 | 2 | 3.5 | deepnote, deepnote logo |
| github.com | 1 | 1 | 2 | deepnote |
| reddit.com | 1 | 1 | 4 | deepnote |
| g2.com | 1 | 1 | 5 | deepnote |
| youtube.com | 1 | 1 | 6 | deepnote |
| shecancode.io | 1 | 1 | 7 | deepnote |
| ycombinator.com | 1 | 1 | 8 | deepnote 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.
Backlink profile
Authority and referring-domain signals.
Backlink comparison profile
- Domain rating: 72/100
- Backlinks: 202,842
- Referring domains: 5,822
- Dofollow backlinks: 16.0%
- Dofollow referring domains: 77.0%
| Source DR | Source title | Anchor | Source URL | Target URL |
|---|---|---|---|---|
| 65 | Educational • freemediaheckyeah | Deepnote | https://fmhy.net/educational | https://deepnote.com/ |
| 78 | Google Colab: что это, кому нужен, для чего и как с ним работать / Skillbox Media | Deepnote | https://skillbox.ru/media/code/chto-takoe-google-colab-i-kak-s-nim-rabotat-vse-chto-nuzhno-znat-novichku/ | https://deepnote.com/ |
| 1 | Jupyter Notebook Online: 12 Ways to Run Jupyter in Your Browser, Free and Paid (2026) | Deepnote pricing | https://fastero.com/blog/jupyter-notebook-online | https://deepnote.com/pricing |
| 56 | Free for Developers | Deepnote | https://free-for.dev/ | https://deepnote.com/ |
| 94 | I Tested 7 Open Source Obsidian Alternatives — Here’s My Top Pick \ | by Haneem \ | Medium | DeepNotes |
| 75 | 01-Jupyter | DeepNote | https://www.labri.fr/perso/schlick/inum/01-Jupyter.html | https://deepnote.com/ |
| 44 | Register your trademark with TramaTM | Logo of Deepnote | https://www.tramatm.com/ | https://deepnote.com/ |
| 45 | 파이썬의 enumerate() 내장 함수로 for 루프 돌리기 \ | Engineering Blog by Dale Seo | https://dales.link/6in | https://daleseo.com/python-enumerate/ |
| 97 | GitHub - deepnote/deepnote: Deepnote is a drop-in replacement for Jupyter with an AI-first design, sleek UI, new blocks, and native data integrations. Use Python, R, and SQL locally in your favorite IDE, then scale to Deepnote cloud for real-time collaboration, Deepnote agent, and deployable data ap | our team | https://github.com/deepnote/deepnote | https://deepnote.com/join-us |
| 73 | 13 Essential AI Tools for Data Analysis: Features & Pricing [2026] \ | Julius AI | $39 per editor per month | https://julius.ai/articles/ai-tools-for-data-analysis |
Collection decision
The Scout search index remains intentionally excluded from automatic Scout analysis. This Scout traffic model profile costs 5 credits (0.5 cents) and is included in the first comparison run so its usefulness can be judged before the recurring collection is finalized.
Website intelligence — Scout synthesis
Scout inference: No backlink data is available in the catalog. The presence of customer testimonials and references to customers like SoundCloud W127 may indicate potential for earned media and backlinks, but this is not confirmed.
AI visibility
Measured ChatGPT and Google AI mentions with cited sources.
AI-assistant referral traffic
- Estimated current generative-AI referral share: 3.0%
| Month | Traffic share | Source |
|---|---|---|
| — | — | All AI assistants |
Website intelligence — Collected evidence
Site-stated AI capabilities
| Page type | Evidence | Source |
|---|---|---|
| features | Purpose-built for machine learning professionals to streamline model development, optimization, and deployment. | https://deepnote.com/solutions/machine-learning |
| features | Go 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 |
| features | Purpose-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 month | https://deepnote.com/pricing |
| pricing | AI 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 |
| pricing | Deepnote 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 |
| integrations | Your AI workspace for data analysis, exploration, and machine learning | https://deepnote.com/docs/getting-started |
| integrations | Deepnote 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 |
| integrations | Describe and visualize: Generate visualizations and code by describing your goal. | https://deepnote.com/docs/getting-started |
| integrations | Auto 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.
Marketing opportunities
Actions calculated directly from the collected evidence.
| Opportunity | Recommended action | Evidence |
|---|---|---|
| Competitor gap | Review the sampled queries where linkedin.com appears. | 2 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
Customers, proof, and reviews
Published proof, customer signals, and review evidence.
Independent reviews
| Platform | Page | How it was found | Note |
|---|---|---|---|
| G2 | Deepnote - AI Marketplace / G2 | Grounded web search | Top 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 |
| ToolRadar | Deepnote Reviews, Pricing & Alternatives (2026) - 4.5/5 | Grounded 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 |
| RightAIChoice | Deepnote Pricing & Features (2026) / RightAIChoice | Grounded web search | Deep ... 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.wiki | Deepnote · 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.ai | Deepnote | Grounded web search | G2 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.
Company, security, and trust
Ownership, policies, security signals, and public trust evidence.
| Signal | Finding | Source |
|---|---|---|
| Company and ownership | Are 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 support | Contact help@deepnote.com for support. | source |
| Legal and privacy | ✦summarize and cancel fraudulent transactions by country | source |
| Security and compliance | All data is secure and encrypted. Deepnote is compliant with HIPAA and SOC 2, GDPR, and more. | source |
| Uptime and status page | Not published on the collected pages. | — |
| Domain registered | 2003-04-08 | — |
| Domain expires | 2027-04-08 | — |
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.
Documentation and product updates
Help resources, product guidance, and visible changes over time.
| Resource or update | Type | What is available | Date or freshness |
|---|---|---|---|
| Welcome to Deepnote - Deepnote docs | Documentation | Your AI workspace for data analysis, exploration, and machine learning (source) | Not dated |
| Billing alerts and limits - Deepnote docs | Documentation | Explore 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 docs | Documentation | Explore 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 docs | Documentation | Questions & answers about plans and pricing (source) | Not dated |
| How to create a product-led growth CRM in Notion | Guide | Learn 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 docs | Documentation | Explore 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 docs | Documentation | See what Deepnote has launched, what is coming soon, and vote on new features. (source) | Not dated |
| How Slido brings a product mindset to analytics engineering | Product update | Product 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
Technical and delivery signals
Delivery model, platforms, API, data ownership, reliability claims and release activity.
| Signal | Finding | Source |
|---|---|---|
| Delivery model (cloud, self-hosted, desktop, browser extension) | Deepnote runs seamlessly in the cloud S43. | S43 |
| Platforms and apps | Web 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 export | Supports import and export of .ipynb files S115 S122. | S115 S122 |
| Performance and reliability claims | Supports terabyte-scale data and serverless Spark clusters S43. | S43 |
| Release activity | Product portal shows launched and upcoming features S20. | S20 |
Measured infrastructure
Domain, certificate, and hosting signals, measured directly.
| Signal | Finding |
|---|---|
| Domain registered | 2003-04-08 — NameCheap, Inc. |
| Domain expires | 2027-04-08 |
| First archived | 2003-07-17 — web archive |
| TLS certificate | Amazon, valid, expires 2027-01-30 |
| Security headers | HSTS, X-Content-Type-Options, X-Frame-Options, Referrer-Policy |
| Headers not served | CSP |
| Mail handled by | aspmx.l.google.com, alt1.aspmx.l.google.com |
| Nameservers | ns-102.awsdns-12.com, ns-1375.awsdns-43.org |
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
| Severity | Issue | Value | Affected URL |
|---|---|---|---|
| warning | Missing canonical URL | — | https://deepnote.com/ |
| notice | Meta description length should be reviewed | 184 | https://deepnote.com/research |
| warning | Missing canonical URL | — | https://deepnote.com/research |
| warning | Title length should be reviewed | 9 | https://deepnote.com/manifesto |
| warning | Page should have one primary H1 | 2 | https://deepnote.com/manifesto |
| warning | Missing canonical URL | — | https://deepnote.com/manifesto |
| warning | Missing canonical URL | — | https://deepnote.com/docs/deepnote-ai |
| notice | Meta description length should be reviewed | 384 | https://deepnote.com/docs/data-apps |
| warning | Missing canonical URL | — | https://deepnote.com/docs/data-apps |
| warning | Missing canonical URL | — | https://deepnote.com/docs/notebooks |
| warning | Missing canonical URL | — | https://deepnote.com/docs/scheduling |
| warning | Missing canonical URL | — | https://deepnote.com/docs/semantic-layer |
| notice | Meta description length should be reviewed | 31 | https://deepnote.com/docs/integrations |
| warning | Missing canonical URL | — | https://deepnote.com/docs/integrations |
| warning | Missing canonical URL | — | https://deepnote.com/docs/etl-elt-pipelines |
| warning | Missing canonical URL | — | https://deepnote.com/docs/data-catalogs |
| warning | Missing canonical URL | — | https://deepnote.com/docs/spark |
| warning | Missing canonical URL | — | https://deepnote.com/docs/code-reviews |
| warning | Missing canonical URL | — | https://deepnote.com/docs/history |
| warning | Missing canonical URL | — | https://deepnote.com/docs/audit-log |
| warning | Duplicate meta description in audit sample | 10 | https://deepnote.com/ |
| warning | Duplicate meta description in audit sample | 10 | https://deepnote.com/manifesto |
| warning | Duplicate meta description in audit sample | 10 | https://deepnote.com/docs/scheduling |
| warning | Duplicate meta description in audit sample | 10 | https://deepnote.com/docs/semantic-layer |
| warning | Duplicate meta description in audit sample | 10 | https://deepnote.com/docs/etl-elt-pipelines |
| warning | Duplicate meta description in audit sample | 10 | https://deepnote.com/docs/data-catalogs |
| warning | Duplicate meta description in audit sample | 10 | https://deepnote.com/docs/spark |
| warning | Duplicate meta description in audit sample | 10 | https://deepnote.com/docs/code-reviews |
| warning | Duplicate meta description in audit sample | 10 | https://deepnote.com/docs/history |
| warning | Duplicate meta description in audit sample | 10 | https://deepnote.com/docs/audit-log |
Crawled pages
| Status | Title | H1s | Words | Response | URL |
|---|---|---|---|---|---|
| 200 | Deepnote: Collaborative analytics & data science notebook | 1 | 2013 | 526 ms | https://deepnote.com/ |
| 200 | Research notes from agent developers — Deepnote | 1 | 927 | 402 ms | https://deepnote.com/research |
| 200 | Manifesto | 2 | 2500 | 63 ms | https://deepnote.com/manifesto |
| 200 | Deepnote AI - Deepnote docs | 1 | 1037 | 505 ms | https://deepnote.com/docs/deepnote-ai |
| 200 | Data apps - Deepnote docs | 1 | 2577 | 326 ms | https://deepnote.com/docs/data-apps |
| 200 | Notebooks - Deepnote docs | 1 | 1121 | 760 ms | https://deepnote.com/docs/notebooks |
| 200 | Scheduling - Deepnote docs | 1 | 1103 | 436 ms | https://deepnote.com/docs/scheduling |
| 200 | Semantic layer - Deepnote docs | 1 | 1024 | 490 ms | https://deepnote.com/docs/semantic-layer |
| 200 | Integrations - Deepnote docs | 1 | 1090 | 515 ms | https://deepnote.com/docs/integrations |
| 200 | ETL/ELT pipelines - Deepnote docs | 1 | 965 | 638 ms | https://deepnote.com/docs/etl-elt-pipelines |
| 200 | Data catalogs and documenting data with Deepnote - Deepnote docs | 1 | 947 | 674 ms | https://deepnote.com/docs/data-catalogs |
| 200 | Spark - Deepnote docs | 1 | 1162 | 397 ms | https://deepnote.com/docs/spark |
| 200 | Code reviews - Deepnote docs | 1 | 1570 | 704 ms | https://deepnote.com/docs/code-reviews |
| 200 | Version history - Deepnote docs | 1 | 1021 | 302 ms | https://deepnote.com/docs/history |
| 200 | Audit log - Deepnote docs | 1 | 765 | 344 ms | https://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.
Search Console and Analytics
First-party search and behavioral data connection state.
Modeled acquisition channels
| Channel | Estimated share |
|---|---|
| direct | 31.3% |
| search | 40.4% |
| search organic | 39.1% |
| search paid | 1.2% |
| social | 5.3% |
| social organic | 4.8% |
| social paid | 0.5% |
| referrals | 12.4% |
| paid referrals | 1.3% |
| 6.4% | |
| gen ai | 3.0% |
| affiliate | 0.0% |
| other | 0.0% |
First-party connections
| Integration | Status | Data available after connection |
|---|---|---|
| Google Search Console | Not connected | Clicks, impressions, CTR, average position, queries, pages, countries, and devices |
| Google Analytics | Not connected | Organic 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
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.
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.
- Official Websitehttps://deepnote.com/Verified
- Documentationhttps://deepnote.com/docs/getting-startedVerified
- Pricing Pagehttps://deepnote.com/pricingVerified
- Pricing Pagehttps://deepnote.com/docs/billing-alerts-and-limitsVerified
- Pricing Pagehttps://deepnote.com/docs/pre-installed-packagesVerified
- Pricing Pagehttps://deepnote.com/docs/pricingVerified
- Official Websitehttps://deepnote.com/blog/how-slido-brings-a-product-mindset-to-analytics-engineeringVerified
- Official Websitehttps://deepnote.com/blog/product-led-growth-crm-in-notionVerified
- Official Websitehttps://deepnote.com/docs/auto-grading-solutionsVerified
- Official Websitehttps://deepnote.com/docs/product-portalVerified
- Official Websitehttps://deepnote.com/solutions/data-appsVerified
- Official Websitehttps://deepnote.com/solutions/data-teamsVerified
- Official Websitehttps://deepnote.com/solutions/machine-learningVerified
- Official Websitehttps://deepnote.com/solutions/python-notebookVerified
- Official Websitehttps://deepnote.com/solutions/r-notebookVerified
- Review Sitehttps://ai.g2.com/marketplace/tools/deepnoteVerified
- Review Sitehttps://toolradar.com/tools/deepnoteVerified
- Review Sitehttps://rightaichoice.com/tools/deepnoteVerified
- Articlehttps://news.ycombinator.com/item?id=24942797Verified
- Articlehttps://news.ycombinator.com/item?id=45813994Verified
- Review Sitehttps://www.rfp.wiki/artificial-intelligence/data-science-machine-learning-platforms/deepnoteVerified
- Articlehttps://aidataanalysistools.com/deepnote-reviews-and-alternatives/Verified
- Articlehttps://deepnote.com/customersVerified
- Review Sitehttps://checkthat.ai/brands/deepnoteVerified
