ToolMage
Connexion
Hex
Science des données · 600.6K visites mensuelles

Hex est un espace de travail analytique alimenté par l'IA, conçu pour les équipes. Il intègre des notebooks pour Python et SQL, des applications de données interactives et une exploration en libre-service dans une seule plateforme collaborative, permettant une prise de décision plus rapide et basée sur les données.

VS
Streamlit
Visualisation de Données · 918.5K visites mensuelles

Streamlit est un framework Python open-source qui permet aux développeurs et aux data scientists de créer et de partager de superbes applications web personnalisées pour le machine learning et la data science en quelques minutes. Le Streamlit Community Cloud fournit une plateforme gratuite pour déployer, gérer et partager ces applications publiques avec le monde entier, favorisant un environnement collaboratif pour l'innovation.

Hex vs Streamlit : prix, fonctions et trafic

Comparez Hex et Streamlit selon leur positionnement, prix, fonctions, trafic et avis.

Mis à jour 5 août 2026

Aperçu du produit

Hex Aperçu du produit

Hex est un espace de travail analytique alimenté par l'IA, conçu pour les équipes. Il intègre des notebooks pour Python et SQL, des applications de données interactives et une exploration en libre-service dans une seule plateforme collaborative, permettant une prise de décision plus rapide et basée sur les données.

Preview

Streamlit Aperçu du produit

Streamlit est un framework Python open-source qui permet aux développeurs et aux data scientists de créer et de partager de superbes applications web personnalisées pour le machine learning et la data science en quelques minutes. Le Streamlit Community Cloud fournit une plateforme gratuite pour déployer, gérer et partager ces applications publiques avec le monde entier, favorisant un environnement collaboratif pour l'innovation.

Preview

Detailed feature comparison

FeatureHexStreamlit
Catégorie principaleScience des donnéesVisualisation de Données
Ajouté2025-08-112025-08-17
TarificationFreemiumFreemium
Site officielhex.techshare.streamlit.io
Type de produitSite webSite web
Performance data
Note utilisateurNon vérifiéNon vérifié
Commentaires00
Visites mensuelles600.6K918.5K
Croissance mensuelle2.6%6.5%
Favoris128125
DetailsVoir les détailsVoir les détails

Hex vs Streamlit monthly traffic

Compare Hex and Streamlit by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.

How to interpret the traffic data

In the Hex vs Streamlit monthly traffic comparison, Hex currently shows 600.6K visits and Streamlit shows 918.5K; Streamlit has about 1.5 times the visible traffic of Hex, an absolute difference of about 317.8K 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.

Hex monthly traffic:

Latest traffic

Visites mensuelles
600.6K
Durée moyenne
4:51
Pages par visite
4.23
Taux de rebond
37.2%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 522K Visites mensuelles
  • 2026/1: 602.8K Visites mensuelles
  • 2026/2: 579.1K Visites mensuelles
  • 2026/3: 660.6K Visites mensuelles
  • 2026/4: 585.6K Visites mensuelles
  • 2026/5: 600.6K Visites mensuelles

Principales régions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States77.44%465.1K
🇨🇦Canada8.61%51.7K
🇬🇧United Kingdom6.11%36.7K
🇪🇸Spain4.14%24.9K
🇲🇽Mexico3.7%22.2K

Sources de trafic

Source typePercentageTraffic
Direct88.79%533.3K
Référence8.56%51.4K
E-mail2.65%15.9K

Mots-clés

hexhex aihex analyticshex careershex tech

Streamlit monthly traffic:

Latest traffic

Visites mensuelles
918.5K
Durée moyenne
3:29
Pages par visite
3.41
Taux de rebond
56.87%
Data updated 2026-06-15

Monthly traffic trend

  • 2025/9: 501.6K Visites mensuelles
  • 2026/1: 717.2K Visites mensuelles
  • 2026/2: 702.3K Visites mensuelles
  • 2026/3: 847.5K Visites mensuelles
  • 2026/4: 862.8K Visites mensuelles
  • 2026/5: 918.5K Visites mensuelles

Principales régions

Top 5 countries/regions
Country/regionPercentageTraffic
🇺🇸United States44.68%410.4K
🇮🇳India25.68%235.9K
🇰🇷Korea, Republic of12.59%115.6K
🇬🇧United Kingdom8.9%81.7K
🇵🇰Pakistan8.15%74.9K

Sources de trafic

Source typePercentageTraffic
Direct57.82%531.1K
Référence40.37%370.8K
E-mail1.81%16.6K

Mots-clés

share.streamlitstreamlitstreamlit cloudstreamlit community cloudstreamlit login
Traffic-based selection guidance: If public market visibility is an important first-pass criterion, investigate Streamlit first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Usage comparison

Compare the core capabilities of Hex and Streamlit

Hex Core features

Low-code No-code
Science des données
Collaboration

Streamlit Core features

Low-code No-code
Visualisation de Données
Créateur d'applications

Use cases

Hex Use cases

Tableau de bord
science des données
visualisation de données
apprentissage automatique
Python
Assistant IA
Informatique décisionnelle
Collaboration
analyse de données
Notebook
Rapports
SQL

Streamlit Use cases

Tableau de bord
science des données
visualisation de données
apprentissage automatique
Python
Créateur d'applications
Outils pour développeurs
Open source
application web

Hex vs Streamlit:In-depth comparison and selection guidance

First decide whether the products solve the same kind of need

This in-depth Hex vs Streamlit comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Hex is primarily listed under “Science des données”, while Streamlit is primarily listed under “Visualisation de Données”, so the first decision is whether your actual task matches their recorded scope.

The structured fields currently show these decision-relevant differences: Primary category (Hex: Science des données; Streamlit: Visualisation de Données); Monthly visits (Hex: 600.6K; Streamlit: 918.5K); Monthly growth (Hex: 2.6%; Streamlit: 6.5%); Favorites (Hex: 128; Streamlit: 125); Website (Hex: hex.tech; Streamlit: share.streamlit.io). These facts are more useful for selection than brand visibility alone.

What market visibility and monthly traffic mean

In the Hex vs Streamlit monthly traffic comparison, Hex currently shows 600.6K visits and Streamlit shows 918.5K; Streamlit has about 1.5 times the visible traffic of Hex, an absolute difference of about 317.8K 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.

If public market visibility is an important first-pass criterion, investigate Streamlit first. The final choice should still follow taxonomy, use case, and a real trial because higher traffic does not prove broader capabilities or better workflow fit.

Product positioning, use cases, and roles

Hex and Streamlit currently overlap in shared categories: Low-code No-code; shared tags: Tableau de bord, science des données, visualisation de données, apprentissage automatique et Python. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.

Hex's unique categories/tags are Science des données, Collaboration, Assistant IA, Informatique décisionnelle, analyse de données, Notebook, Rapports et SQL; Streamlit's are Visualisation de Données, Créateur d'applications, Outils pour développeurs, Open source et application web. 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

Hex has no verified rating, 0 comments, 128 favorites, and 130 likes;Streamlit has no verified rating, 0 comments, 125 favorites, and 125 likes。

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

Selection guidance by actual need

When to evaluate Hex first

Put Hex on the priority trial list when the task aligns with “Science des données” and especially Science des données, Collaboration, Assistant IA, Informatique décisionnelle, analyse de données et Notebook. This follows recorded positioning and does not imply unlisted capabilities are absent.

Hex also currently records: pricing is freemium, product type is website, 600.6K 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 Streamlit first

Put Streamlit on the priority trial list when the task aligns with “Visualisation de Données” and especially Visualisation de Données, Créateur d'applications, Outils pour développeurs, Open source et application web. This follows recorded positioning and does not imply unlisted capabilities are absent.

Streamlit also currently records: pricing is freemium, product type is website, 918.5K 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 Hex and Streamlit, 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 Hex and Streamlit?
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.