Devath est la première plateforme au monde sans code et alimentée par l'IA pour le développement de maisons intelligentes. Elle permet aux développeurs et aux amateurs de créer, tester et publier des applications IoT en utilisant des instructions en langage naturel, simplifiant considérablement l'intégration matérielle et l'automatisation.
Magic Loops est une plateforme no-code/low-code qui vous permet de créer des applications professionnelles et natives de l'IA en quelques minutes. Décrivez simplement votre idée en anglais simple, et Magic Loops génère le flux de travail sous-jacent et l'interface utilisateur. C'est parfait pour les créateurs, les développeurs et les entreprises qui cherchent à prototyper et à déployer rapidement des outils, des automatisations et des utilitaires alimentés par l'IA sans codage approfondi.
Aperçu du produit
Devath Aperçu du produit
Devath est la première plateforme au monde sans code et alimentée par l'IA pour le développement de maisons intelligentes. Elle permet aux développeurs et aux amateurs de créer, tester et publier des applications IoT en utilisant des instructions en langage naturel, simplifiant considérablement l'intégration matérielle et l'automatisation.
Magic Loops Aperçu du produit
Magic Loops est une plateforme no-code/low-code qui vous permet de créer des applications professionnelles et natives de l'IA en quelques minutes. Décrivez simplement votre idée en anglais simple, et Magic Loops génère le flux de travail sous-jacent et l'interface utilisateur. C'est parfait pour les créateurs, les développeurs et les entreprises qui cherchent à prototyper et à déployer rapidement des outils, des automatisations et des utilitaires alimentés par l'IA sans codage approfondi.
Detailed feature comparison
| Feature | Devath | Magic Loops |
|---|---|---|
| Catégorie principale | No-Code & Low-Code | Constructeurs |
| Ajouté | 2025-08-06 | 2025-08-11 |
| Tarification | Gratuit | Freemium |
| Site officiel | devath.plasmic.run | magicloops.dev |
| Type de produit | Site web | Site web |
| Performance data | ||
| Note utilisateur | Non vérifié | Non vérifié |
| Commentaires | 0 | 0 |
| Visites mensuelles | 3.4K | 5.5K |
| Croissance mensuelle | Non vérifié | -38.2% |
| Favoris | 112 | 125 |
| Details | Voir les détails | Voir les détails |
Devath vs Magic Loops monthly traffic
Compare Devath and Magic Loops by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Devath vs Magic Loops monthly traffic comparison, Devath currently shows 3.4K visits and Magic Loops shows 5.5K; Magic Loops has about 1.6 times the visible traffic of Devath, an absolute difference of about 2.2K visits. This reflects visible reach, not feature quality or paid users.
Only Magic Loops has complete third-party traffic details; Devath uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
Devath monthly traffic:
Latest traffic
Magic Loops monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 94K Visites mensuelles
- 2026/1: 26K Visites mensuelles
- 2026/2: 13.2K Visites mensuelles
- 2026/3: 11.3K Visites mensuelles
- 2026/4: 9K Visites mensuelles
- 2026/5: 5.5K Visites mensuelles
Principales régions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇲🇽Mexico | 33.06% | 1.8K |
| 🇦🇷Argentina | 24.41% | 1.4K |
| 🇺🇸United States | 21.17% | 1.2K |
| 🇮🇩Indonesia | 12.61% | 698 |
| 🇺🇾Uruguay | 8.75% | 484 |
Sources de trafic
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 73.33% | 4.1K |
| Référence | 26.67% | 1.5K |
Mots-clés
Usage comparison
Compare the core capabilities of Devath and Magic Loops
Devath Core features
Magic Loops Core features
Use cases
Devath Use cases
Magic Loops Use cases
Devath vs Magic Loops:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Devath vs Magic Loops comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Devath is primarily listed under “No-Code & Low-Code”, while Magic Loops is primarily listed under “Constructeurs”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Devath: No-Code & Low-Code; Magic Loops: Constructeurs); Pricing (Devath: Free; Magic Loops: Freemium); Monthly visits (Devath: 3.4K; Magic Loops: 5.5K); Favorites (Devath: 112; Magic Loops: 125); Website (Devath: devath.plasmic.run; Magic Loops: magicloops.dev). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Devath vs Magic Loops monthly traffic comparison, Devath currently shows 3.4K visits and Magic Loops shows 5.5K; Magic Loops has about 1.6 times the visible traffic of Devath, an absolute difference of about 2.2K visits. This reflects visible reach, not feature quality or paid users.
Only Magic Loops has complete third-party traffic details; Devath uses visits recorded inside ToolMage. These scopes cannot estimate market share directly, and on-site views should not be treated as the product’s total website traffic.
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
Devath and Magic Loops currently overlap in shared categories: Automatisation; shared tags: Créateur d'applications, automatisation, Outils pour développeurs, low-code et No-code. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Devath's unique categories/tags are No-Code & Low-Code, Maison Intelligente, Copilote IA, Bluetooth, matériel, IoT et maison intelligente; Magic Loops's are Constructeurs, No-code, Application d'IA, Natif de l'IA, GPT, programmation visuelle et automatisation des flux de travail. 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
Devath has no verified rating, 0 comments, 112 favorites, and 97 likes;Magic Loops has no verified rating, 0 comments, 125 favorites, and 112 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Devath first
Put Devath on the priority trial list when the task aligns with “No-Code & Low-Code” and especially No-Code & Low-Code, Maison Intelligente, Copilote IA, Bluetooth, matériel et IoT. This follows recorded positioning and does not imply unlisted capabilities are absent.
Devath also currently records: pricing is free, product type is website, 3.4K on-site monthly views, 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 Magic Loops first
Put Magic Loops on the priority trial list when the task aligns with “Constructeurs” and especially Constructeurs, No-code, Application d'IA, Natif de l'IA, GPT et programmation visuelle. This follows recorded positioning and does not imply unlisted capabilities are absent.
Magic Loops also currently records: pricing is freemium, product type is website, 5.5K 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 Devath and Magic Loops, 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.




