Deepnote.com is a cloud-based collaborative data science notebook platform in the data analytics and machine learning industry that provides real-time, Jupyter-compatible notebooks, integrations, and collaboration tools for data scientists, analysts, engineers, and educators. The site is well-known within the data science and analytics community and among technical teams and academic users for facilitating collaborative research and reproducible workflows, with estimated daily visits in the hundreds.
Score assigned based on the strength of the domain online
Estimated monthly organic traffic from search engines
Total number of links from other websites pointing to this domain
The site's traffic has declined by 18% year-over-year with over 5,798 monthly visits driven primarily by developer and data-science focused intent — users searching for notebook and Python workflow assistance, lightweight utilities and verification tools, quick math and charting utilities, collaboration and cloud notebook integrations, and web-scraping or data-engineering workflows. Traffic is concentrated in North America (~34.5%), Asia-Pacific (~27.1%) and Europe (~29.4%), reflecting strong demand from US-based teams and organizations, sizable developer and student communities in India and the wider APAC region, and a solid foothold in European markets consistent with the domain’s target markets in education, analytics and developer tooling.

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The domain deepnote.com was registered on April 8, 2003, through namecheap, inc. and uses AWS for DNS and security. At 22 years old, this long-standing domain conveys established credibility, a mature online presence, and accumulated authority, which can translate into stronger trust signals, better SEO visibility, and a proven track record that benefits long-term digital reputation.
Deepnote’s backlink profile is largely built from lower-authority (<40) sources (many referring pages show DA in the teens and low 20s) despite the site’s overall DA 66 (medium-authority) and Trust 37 signals; notable sources are primarily developer resources and technology publications like GitHub and Medium rather than top-tier industry leaders or high-authority (DA 70+) domains. This mix still supports organic visibility because the volume of referring domains (3,631) and total backlinks (68,898) provide breadth and topical relevance, contributing to Deepnote’s SEO strength by reinforcing topical authority in the developer and data-science niches.
From the sample top backlinks list there are 3 dofollow and 8 nofollow links, a dofollow-to-nofollow ratio of approximately 27:73, indicating a heavier nofollow presence but with dofollow links from available higher-trust pages still able to pass meaningful link equity. Anchor text is dominated by branded anchors — approximately 82% branded (Deepnote), 18% naked URLs (deepnote.com), and 0% keyword-rich, which is a natural and mostly healthy profile for a SaaS brand though it could benefit from a small, controlled increase in descriptive keyword-rich anchors to diversify signals.
Top Ranking Keywords
The domain deepnote.com has a focused keyword portfolio centered on product-brand and Python developer intent, with primary terms showing monthly volumes like 210, 70, 50, 260, and 320, mixed CPCs and mostly low-to-moderate competition that position it as a niche technical resource. The top keyword 'deep notes' attracts daily searches in the dozens with a $6.94 CPC, indicating solid brand recognition. The other keywords — deepnote login (70, 33% competition, low), deepnote ai (50, 55% competition, moderate), change python working directory (260, 0% competition, low) and change directory python (320, 0% competition, low) — show low competition for tutorial-style Python queries and moderate competition for AI/brand-related queries, revealing a dual positioning between developer education and emerging product/AI interest. The site’s profile reflects strong organic visibility with a healthy keyword portfolio and generally competitive SEO performance.
deepnote.com competes in the collaborative cloud notebook and data science tooling space against established players like Jupyter, SQLAlchemy, and Hex, and newer alternatives such as Hex (positioned as a data app platform) and Marimo. Compared to the much larger traffic of Jupyter (138,735 organic visits) and mid-tier projects like SQLAlchemy and Hex, deepnote.com shows a smaller but focused traffic footprint (5,798) and similar backlink counts, positioning it as a niche, productized alternative that leverages interactive real-time collaboration and managed environments to capture users moving away from self-hosted tooling.
With a Domain Authority score of 37, deepnote.com sits on par with competitors in the data tooling industry but must compete against projects that convert broader open-source recognition into substantially higher organic traffic. By targeting data scientists, analytics teams, and educators with real-time collaboration, managed cloud notebooks, and strong integrations (its key differentiators), deepnote has driven organic visibility and word-of-mouth growth that supports targeted market penetration despite the DA parity.
Everything you need to know about deepnote.com.
What is deepnote.com's primary business model?
Deepnote operates as a SaaS provider offering a cloud-native, collaborative data-science notebook platform. It monetizes through paid tiers and enterprise plans that provide advanced features such as team collaboration, dedicated compute, security controls, and integrations with data warehouses and versioning tools. Free tiers and individual use help drive adoption while premium features and organizational deployments generate revenue. The company also targets education and corporate customers with tailored plans and support.
Is deepnote.com considered a market leader, a challenger, or a niche player?
Challenger. Deepnote competes strongly in the collaborative notebook and data-science workspace segment but does not displace widely adopted open-source incumbents like Jupyter. It differentiates itself through team-focused, cloud-native features and integrations, positioning it to challenge larger players and newer rivals in the collaborative analytics space.
What makes deepnote.com unique compared to its competitors?
Deepnote emphasizes real-time collaboration and an IDE-like experience tailored for data science teams, combining notebook interactivity with team workspaces, shared environments, and built-in integrations to data warehouses and version control. It maintains compatibility with the Jupyter ecosystem while adding features like managed compute, reproducible environments, and project sharing workflows that streamline teamwork. The platform’s focus on collaboration, reproducibility, and enterprise-ready controls distinguishes it from more single-user or code-centric offerings.
What are the most recent major updates or strategic shifts seen on deepnote.com?
Recent public-facing activity shows Deepnote doubling down on enterprise and team features: improved collaboration, tighter integrations with cloud data sources and data warehouses, and better compute and environment management for reproducibility. The product roadmap and communications emphasize interoperability with Jupyter, security and access controls for organizations, and features that support production analytics workflows. If specific headline launches are not available, the general strategic direction is toward becoming a collaborative, enterprise-friendly alternative to single-user notebooks.