Informatique décisionnelle · 192.9K visites mensuelles

Deepnote est un notebook de science des données collaboratif et alimenté par l'IA pour les équipes. Il unifie Python, SQL et R dans un seul espace de travail cloud, permettant aux utilisateurs d'explorer des données, de construire des modèles de machine learning et de créer facilement des tableaux de bord et des applications interactives. Propulsé par GPT-4o, il automatise l'analyse et la génération de code, rendant la science des données accessible à tous les niveaux de compétence.

Visiter le site Voir les détails

Kanaries

3D · 155.1K visites mensuelles

Kanaries est un espace de travail alimenté par l'IA conçu pour l'analyse exploratoire de données (EDA) et la visualisation. Il offre une suite d'outils, dont PyGWalker pour Python et GWalkR pour R, qui transforment les dataframes en applications d'analyse visuelle interactives avec une seule ligne de code. Il dispose d'une interface glisser-déposer, d'un chat IA pour l'interrogation de données et de fonctionnalités collaboratives, rationalisant l'ensemble du flux de travail des données à l'insight pour les analystes, les data scientists et les développeurs.

Visiter le site Voir les détails

Deepnote vs Kanaries : prix, fonctions et trafic

Comparez Deepnote et Kanaries selon leur positionnement, prix, fonctions, trafic et avis.

Mis à jour 5 août 2026

Aperçu du produit

Deepnote Aperçu du produit

Preview

Kanaries Aperçu du produit

Preview

Detailed feature comparison

Feature	Deepnote	Kanaries
Catégorie principale	Informatique décisionnelle	3D
Ajouté	2025-08-11	2025-08-11
Tarification	Freemium	Freemium
Site officiel	deepnote.com	kanaries.net
Type de produit	Site web	Site web
Performance data
Note utilisateur	Non vérifié	Non vérifié
Commentaires	0	0
Visites mensuelles	192.9K	155.1K
Croissance mensuelle	-10.2%	-2.3%
Favoris	101	140
Details	Voir les détails	Voir les détails

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

Visites mensuelles

192.9K

Durée moyenne

3:17

Pages par visite

4.1

Taux de rebond

37.96%

Data updated 2026-06-15

Monthly traffic trend

Principales régions

Top 5 countries/regions

Country/region	Percentage	Traffic
🇺🇸United States	33.17%	64K
🇧🇷Brazil	24.76%	47.8K
🇨🇴Colombia	14.24%	27.5K
🇮🇳India	13.94%	26.9K
🇮🇹Italy	13.89%	26.8K

Sources de trafic

Source type	Percentage	Traffic
Direct	80.96%	156.2K
Référence	13.45%	25.9K
E-mail	5.59%	10.8K

Mots-clés

deepnotedeepnote chat with collaboratordeepnote costdeepnote logindeepnote manual python

Kanaries monthly traffic:

Latest traffic

Visites mensuelles

155.1K

Durée moyenne

0:45

Pages par visite

1.54

Taux de rebond

52.2%

Data updated 2026-06-15

Monthly traffic trend

Principales régions

Top 5 countries/regions

Country/region	Percentage	Traffic
🇨🇳China	25.12%	39K
🇰🇷Korea, Republic of	22.09%	34.3K
🇺🇸United States	19.23%	29.8K
🇯🇵Japan	18.33%	28.4K
🇩🇪Germany	15.23%	23.6K

Sources de trafic

Source type	Percentage	Traffic
Direct	50.41%	78.2K
Référence	48.97%	75.9K
E-mail	0.62%	962

Mots-clés

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

Informatique décisionnelle

Analyse

Science des Données

Collaboration

Kanaries Core features

Informatique décisionnelle

Outils pour les développeurs

Use cases

Deepnote Use cases

Informatique décisionnelle

analyse de données

visualisation de données

Python

Collaboration

Tableau de bord

science des données

gpt-4o

Jupyter

apprentissage automatique

Notebook

SQL

Kanaries Use cases

Informatique décisionnelle

analyse de données

visualisation de données

Python

Agent de code IA

Créateur de graphiques

glisser-déposer

EDA

Analyse exploratoire de données

Jupyter Notebook

pandas

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 “Informatique décisionnelle”, 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: Informatique décisionnelle; 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

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: Informatique décisionnelle; shared tags: Informatique décisionnelle, analyse de données, visualisation de données et 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 Analyse, Science des Données, Collaboration, Tableau de bord, science des données, gpt-4o, Jupyter et apprentissage automatique; Kanaries's are 3D, Outils pour les développeurs, Agent de code IA, Créateur de graphiques, glisser-déposer, EDA, Analyse exploratoire de données et 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 “Informatique décisionnelle” and especially Analyse, Science des Données, Collaboration, Tableau de bord, science des données et gpt-4o. 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, Outils pour les développeurs, Agent de code IA, Créateur de graphiques, glisser-déposer et 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.

FAQ comparative

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.