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Deepnote
Business Intelligence · 192.9K monthly visits

Deepnote is an AI-powered, collaborative data science notebook for teams. It unifies Python, SQL, and R in a single cloud-based workspace, enabling users to explore data, build machine learning models, and create interactive dashboards and apps with ease. Powered by GPT-4o, it automates analysis and code generation, making data science accessible to all skill levels.

VS
Kanaries
3D · 155.1K monthly visits

Kanaries is an AI-powered workspace designed for exploratory data analysis (EDA) and visualization. It offers a suite of tools, including PyGWalker for Python and GWalkR for R, that transform dataframes into interactive visual analytics applications with a single line of code. It features a drag-and-drop interface, AI-powered chat for data querying, and collaborative features, streamlining the entire data-to-insight workflow for analysts, data scientists, and developers.

Deepnote vs Kanaries: pricing, features, traffic, and use cases

Compare Deepnote and Kanaries across positioning, pricing, traffic, and user feedback using structured factual data.

Updated Aug 5, 2026

Product overview

Deepnote Product overview

Deepnote is an AI-powered, collaborative data science notebook for teams. It unifies Python, SQL, and R in a single cloud-based workspace, enabling users to explore data, build machine learning models, and create interactive dashboards and apps with ease. Powered by GPT-4o, it automates analysis and code generation, making data science accessible to all skill levels.

Preview

Kanaries Product overview

Kanaries is an AI-powered workspace designed for exploratory data analysis (EDA) and visualization. It offers a suite of tools, including PyGWalker for Python and GWalkR for R, that transform dataframes into interactive visual analytics applications with a single line of code. It features a drag-and-drop interface, AI-powered chat for data querying, and collaborative features, streamlining the entire data-to-insight workflow for analysts, data scientists, and developers.

Preview

Detailed feature comparison

FeatureDeepnoteKanaries
Primary categoryBusiness Intelligence3D
Added2025-08-112025-08-11
PricingFreemiumFreemium
Official websitedeepnote.comkanaries.net
Product typeWebsiteWebsite
Performance data
User ratingNot verifiedNot verified
Comments00
Monthly visits192.9K155.1K
Monthly growth-10.2%-2.3%
Favorites101140
DetailsView detailsView details

Deepnote vs Kanaries monthly traffic

Compare Deepnote and Kanaries by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Deepnote vs Kanaries monthly traffic comparison, Deepnote currently shows 192.9K visits and Kanaries shows 155.1K; Deepnote has about 1.2 times the visible traffic of Kanaries, an absolute difference of about 37.8K visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

Deepnote monthly traffic:

Latest traffic

Monthly visits
192.9K
Avg. visit duration
3:17
Pages per visit
4.1
Bounce rate
37.96%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 259K Monthly visits
  • 2026/1: 240.1K Monthly visits
  • 2026/2: 223.9K Monthly visits
  • 2026/3: 223K Monthly visits
  • 2026/4: 214.7K Monthly visits
  • 2026/5: 192.9K Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States33.17%64K
🇧🇷Brazil24.76%47.8K
🇨🇴Colombia14.24%27.5K
🇮🇳India13.94%26.9K
🇮🇹Italy13.89%26.8K

Traffic sources

Source typePercentageTraffic
Direct80.96%156.2K
Referral13.45%25.9K
Email5.59%10.8K

Search keywords

deepnotedeepnote chat with collaboratordeepnote costdeepnote logindeepnote manual python

Kanaries monthly traffic:

Latest traffic

Monthly visits
155.1K
Avg. visit duration
0:45
Pages per visit
1.54
Bounce rate
52.2%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 286.7K Monthly visits
  • 2026/1: 197.8K Monthly visits
  • 2026/2: 144.5K Monthly visits
  • 2026/3: 152.6K Monthly visits
  • 2026/4: 158.7K Monthly visits
  • 2026/5: 155.1K Monthly visits

Top regions

Top 5 countries/regions
Country/regionPercentageTraffic
🇨🇳China25.12%39K
🇰🇷Korea, Republic of22.09%34.3K
🇺🇸United States19.23%29.8K
🇯🇵Japan18.33%28.4K
🇩🇪Germany15.23%23.6K

Traffic sources

Source typePercentageTraffic
Direct50.41%78.2K
Referral48.97%75.9K
Email0.62%962

Search keywords

chatgpt jailbreak promptgemini和chatgpt区别gemini和gpt订阅哪一个pygwalker在线 地图气泡图
Traffic-based selection guidance: The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.

Usage comparison

Compare the core capabilities of Deepnote and Kanaries

Deepnote Core features

Business Intelligence
Analytics
Data Science
Collaboration

Kanaries Core features

Business Intelligence
3D
Developer Tools

Use cases

Deepnote Use cases

business intelligence
data analysis
data visualization
python
collaboration
dashboard
data science
gpt-4o
jupyter
machine learning
notebook
SQL

Kanaries Use cases

business intelligence
data analysis
data visualization
python
AI code agent
chart maker
drag and drop
EDA
exploratory data analysis
jupyter notebook
pandas
R

Deepnote vs Kanaries:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Deepnote vs Kanaries comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Deepnote is primarily listed under “Business Intelligence”, while Kanaries is primarily listed under “3D”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (Deepnote: Business Intelligence; Kanaries: 3D); Monthly visits (Deepnote: 192.9K; Kanaries: 155.1K); Monthly growth (Deepnote: -10.2%; Kanaries: -2.3%); Favorites (Deepnote: 101; Kanaries: 140); Website (Deepnote: deepnote.com; Kanaries: kanaries.net). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Deepnote vs Kanaries monthly traffic comparison, Deepnote currently shows 192.9K visits and Kanaries shows 155.1K; Deepnote has about 1.2 times the visible traffic of Kanaries, an absolute difference of about 37.8K visits. This reflects visible reach, not feature quality or paid users.

Both tools provide verified traffic details, so monthly trends, visit depth, regions, and acquisition sources can be compared on the same basis.

The current traffic scope is not sufficient for a reliable product ranking. Treat monthly visits as a market-interest signal, then decide using taxonomy, use cases, pricing, and a like-for-like trial rather than reading exposure as product capability.

Product positioning, use cases, and roles

Deepnote and Kanaries currently overlap in shared categories: Business Intelligence; shared tags: business intelligence, data analysis, data visualization, and python. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Deepnote's unique categories/tags are Analytics, Data Science, Collaboration, collaboration, dashboard, data science, gpt-4o, and jupyter; Kanaries's are 3D, Developer Tools, AI code agent, chart maker, drag and drop, EDA, exploratory data analysis, and jupyter notebook. These unique fields are the strongest differentiators: validate the product whose recorded scope matches the task instead of following traffic alone.

What ratings, comments, and favorites can tell you

Deepnote has no verified rating, 0 comments, 101 favorites, and 116 likes;Kanaries has no verified rating, 0 comments, 140 favorites, and 141 likes。

Neither product has enough rating or comment samples for a credible reputation ranking.

Selection guidance by actual need

When to evaluate Deepnote first

Put Deepnote on the priority trial list when the task aligns with “Business Intelligence” and especially Analytics, Data Science, Collaboration, collaboration, dashboard, and data science. This follows recorded positioning and does not imply unlisted capabilities are absent.

Deepnote also currently records: pricing is freemium, product type is website, 192.9K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

When to evaluate Kanaries first

Put Kanaries on the priority trial list when the task aligns with “3D” and especially 3D, Developer Tools, AI code agent, chart maker, drag and drop, and EDA. This follows recorded positioning and does not imply unlisted capabilities are absent.

Kanaries also currently records: pricing is freemium, product type is website, 155.1K verified monthly visits, no verified user rating. Verify any hard requirement around price, platform, or reach before trial, and do not let sparse review data substitute for testing.

How to validate the recommendation before deciding

The available data describes positioning, public visibility, and community signals, but it cannot prove output quality, speed, integration effort, privacy, or long-term cost in your workflow. Before deciding, run the same representative tasks in Deepnote and Kanaries, then record completion time, accuracy, manual corrections, and the real paid threshold. A like-for-like trial turns this comparison into a defensible adoption decision.

Comparison FAQ

How should I choose between Deepnote and Kanaries?
Compare positioning, pricing, taxonomy, and traffic maturity, then verify the latest details on each official website.
Where does this comparison data come from?
The factual baseline is derived from product, taxonomy, traffic, and community data. Reviewed editorial conclusions show their source and verification date.
What do unknown fields mean?
Unknown means there is not enough reliable evidence; the page does not fill gaps with assumptions.

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