Shuffle est un éditeur en ligne alimenté par l'IA pour les développeurs, conçu pour accélérer le développement d'interfaces utilisateur. Il dispose d'une interface visuelle de glisser-déposer, de vastes bibliothèques de composants pour Tailwind CSS, Bootstrap, Material-UI et Bulma, et d'un Assistant IA qui construit des mises en page à partir de commandes de chat. Exportez du code propre et prêt pour la production, y compris du JSX React, en quelques secondes.
Windframe est un éditeur et constructeur visuel pour Tailwind CSS, alimenté par l'IA, conçu pour accélérer le développement d'interfaces utilisateur et de sites web. Il permet aux utilisateurs de générer des designs avec des prompts IA, d'utiliser plus de 1000 modèles prédéfinis et d'éditer visuellement des projets en temps réel. Exportez du code prêt pour la production pour React, Vue, HTML, et plus encore, optimisant le flux de travail pour les développeurs, les designers et les équipes.
Aperçu du produit
Shuffle Aperçu du produit
Shuffle est un éditeur en ligne alimenté par l'IA pour les développeurs, conçu pour accélérer le développement d'interfaces utilisateur. Il dispose d'une interface visuelle de glisser-déposer, de vastes bibliothèques de composants pour Tailwind CSS, Bootstrap, Material-UI et Bulma, et d'un Assistant IA qui construit des mises en page à partir de commandes de chat. Exportez du code propre et prêt pour la production, y compris du JSX React, en quelques secondes.
Windframe Aperçu du produit
Windframe est un éditeur et constructeur visuel pour Tailwind CSS, alimenté par l'IA, conçu pour accélérer le développement d'interfaces utilisateur et de sites web. Il permet aux utilisateurs de générer des designs avec des prompts IA, d'utiliser plus de 1000 modèles prédéfinis et d'éditer visuellement des projets en temps réel. Exportez du code prêt pour la production pour React, Vue, HTML, et plus encore, optimisant le flux de travail pour les développeurs, les designers et les équipes.
Detailed feature comparison
| Feature | Shuffle | Windframe |
|---|---|---|
| Catégorie principale | UI/UX | UI/UX |
| Ajouté | 2025-08-04 | 2025-08-05 |
| Tarification | Freemium | Freemium |
| Site officiel | shuffle.dev | windframe.dev |
| Type de produit | Site web | Site web |
| Performance data | ||
| Note utilisateur | Non vérifié | Non vérifié |
| Commentaires | 0 | 0 |
| Visites mensuelles | 151.1K | 40.1K |
| Croissance mensuelle | 4.8% | -14.5% |
| Favoris | 123 | 128 |
| Details | Voir les détails | Voir les détails |
Shuffle vs Windframe monthly traffic
Compare Shuffle and Windframe by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Shuffle vs Windframe monthly traffic comparison, Shuffle currently shows 151.1K visits and Windframe shows 40.1K; Shuffle has about 3.8 times the visible traffic of Windframe, an absolute difference of about 111K 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.
Shuffle monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 144.1K Visites mensuelles
- 2026/1: 157.9K Visites mensuelles
- 2026/2: 157.8K Visites mensuelles
- 2026/3: 174.5K Visites mensuelles
- 2026/4: 144.2K Visites mensuelles
- 2026/5: 151.1K Visites mensuelles
Principales régions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 50.11% | 75.7K |
| 🇮🇳India | 16.25% | 24.6K |
| 🇳🇬Nigeria | 12.61% | 19.1K |
| 🇻🇳Vietnam | 12.02% | 18.2K |
| 🇧🇷Brazil | 9.01% | 13.6K |
Sources de trafic
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 89.96% | 135.9K |
| Référence | 9.08% | 13.7K |
| 0.96% | 1.5K |
Mots-clés
Windframe monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 80.9K Visites mensuelles
- 2026/1: 73.6K Visites mensuelles
- 2026/2: 54.9K Visites mensuelles
- 2026/3: 48.1K Visites mensuelles
- 2026/4: 46.9K Visites mensuelles
- 2026/5: 40.1K Visites mensuelles
Principales régions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 24.75% | 9.9K |
| 🇳🇬Nigeria | 24.12% | 9.7K |
| 🇮🇳India | 21.38% | 8.6K |
| 🇻🇳Vietnam | 16.03% | 6.4K |
| 🇷🇺Russia | 13.72% | 5.5K |
Mots-clés
Usage comparison
Compare the core capabilities of Shuffle and Windframe
Shuffle Core features
Windframe Core features
Use cases
Shuffle Use cases
Windframe Use cases
Shuffle vs Windframe:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Shuffle vs Windframe comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Shuffle is primarily listed under “UI/UX”, while Windframe is primarily listed under “UI/UX”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Monthly visits (Shuffle: 151.1K; Windframe: 40.1K); Monthly growth (Shuffle: 4.8%; Windframe: -14.5%); Favorites (Shuffle: 123; Windframe: 128); Website (Shuffle: shuffle.dev; Windframe: windframe.dev); Added (Shuffle: 2025-08-04; Windframe: 2025-08-05). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Shuffle vs Windframe monthly traffic comparison, Shuffle currently shows 151.1K visits and Windframe shows 40.1K; Shuffle has about 3.8 times the visible traffic of Windframe, an absolute difference of about 111K 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 Shuffle 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
Shuffle and Windframe currently overlap in shared categories: UI/UX; shared tags: low-code, React, Tailwind CSS et Constructeur d'UI. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Shuffle's unique categories/tags are Créateur de Sites Web, Low-Code No-Code, Assistant IA, Bootstrap, générateur de code, front-end, Material-UI et Prototypage; Windframe's are Créateur de sites web, Sans code, Design IA, outil de développement, Développement frontend, HTML, No-code et éditeur visuel. 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
Shuffle has no verified rating, 0 comments, 123 favorites, and 131 likes;Windframe has no verified rating, 0 comments, 128 favorites, and 128 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Shuffle first
Put Shuffle on the priority trial list when the task aligns with “UI/UX” and especially Créateur de Sites Web, Low-Code No-Code, Assistant IA, Bootstrap, générateur de code et front-end. This follows recorded positioning and does not imply unlisted capabilities are absent.
Shuffle also currently records: pricing is freemium, product type is website, 151.1K 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.
When to evaluate Windframe first
Put Windframe on the priority trial list when the task aligns with “UI/UX” and especially Créateur de sites web, Sans code, Design IA, outil de développement, Développement frontend et HTML. This follows recorded positioning and does not imply unlisted capabilities are absent.
Windframe also currently records: pricing is freemium, product type is website, 40.1K 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 Shuffle and Windframe, 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.




