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.
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.
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.
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.
Detailed feature comparison
| Feature | Hex | Streamlit |
|---|---|---|
| Catégorie principale | Science des données | Visualisation de Données |
| Ajouté | 2025-08-11 | 2025-08-17 |
| Tarification | Freemium | Freemium |
| Site officiel | hex.tech | share.streamlit.io |
| Type de produit | Site web | Site web |
| Performance data | ||
| Note utilisateur | Non vérifié | Non vérifié |
| Commentaires | 0 | 0 |
| Visites mensuelles | 600.6K | 918.5K |
| Croissance mensuelle | 2.6% | 6.5% |
| Favoris | 128 | 125 |
| Details | Voir les détails | Voir 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
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/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 77.44% | 465.1K |
| 🇨🇦Canada | 8.61% | 51.7K |
| 🇬🇧United Kingdom | 6.11% | 36.7K |
| 🇪🇸Spain | 4.14% | 24.9K |
| 🇲🇽Mexico | 3.7% | 22.2K |
Sources de trafic
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 88.79% | 533.3K |
| Référence | 8.56% | 51.4K |
| 2.65% | 15.9K |
Mots-clés
Streamlit monthly traffic:
Latest traffic
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/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 44.68% | 410.4K |
| 🇮🇳India | 25.68% | 235.9K |
| 🇰🇷Korea, Republic of | 12.59% | 115.6K |
| 🇬🇧United Kingdom | 8.9% | 81.7K |
| 🇵🇰Pakistan | 8.15% | 74.9K |
Sources de trafic
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 57.82% | 531.1K |
| Référence | 40.37% | 370.8K |
| 1.81% | 16.6K |
Mots-clés
Usage comparison
Compare the core capabilities of Hex and Streamlit
Hex Core features
Streamlit Core features
Use cases
Hex Use cases
Streamlit Use cases
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.




