Appsmith ist eine Open-Source-Low-Code-Plattform, die für Entwickler konzipiert wurde, um interne Tools, Dashboards und KI-gestützte Anwendungen schnell zu erstellen, bereitzustellen und zu warten. Sie verbindet sich mit jeder Datenquelle, ermöglicht die UI-Erstellung per Drag-and-Drop oder natürlicher Sprache und bietet vollständige Anpassung mit JavaScript, wodurch Teams sichere, skalierbare Unternehmensanwendungen mit beispielloser Geschwindigkeit erstellen können.
Dify ist eine Open-Source-Low-Code-KI-Entwicklungsplattform zum Erstellen und Betreiben von produktionsreifen generativen KI-Anwendungen. Sie ermöglicht die Erstellung von KI-Agenten und Workflows, die auf RAG-Pipelines, umfassender Modellunterstützung und vollständiger Beobachtbarkeit basieren und den gesamten Entwicklungslebenszyklus von der Idee bis zur Bereitstellung vereinfachen.
Produktübersicht
Appsmith Produktübersicht
Appsmith ist eine Open-Source-Low-Code-Plattform, die für Entwickler konzipiert wurde, um interne Tools, Dashboards und KI-gestützte Anwendungen schnell zu erstellen, bereitzustellen und zu warten. Sie verbindet sich mit jeder Datenquelle, ermöglicht die UI-Erstellung per Drag-and-Drop oder natürlicher Sprache und bietet vollständige Anpassung mit JavaScript, wodurch Teams sichere, skalierbare Unternehmensanwendungen mit beispielloser Geschwindigkeit erstellen können.
Dify Produktübersicht
Dify ist eine Open-Source-Low-Code-KI-Entwicklungsplattform zum Erstellen und Betreiben von produktionsreifen generativen KI-Anwendungen. Sie ermöglicht die Erstellung von KI-Agenten und Workflows, die auf RAG-Pipelines, umfassender Modellunterstützung und vollständiger Beobachtbarkeit basieren und den gesamten Entwicklungslebenszyklus von der Idee bis zur Bereitstellung vereinfachen.
Detailed feature comparison
| Feature | Appsmith | Dify |
|---|---|---|
| Hauptkategorie | Interne Tools | KI-Agent |
| Hinzugefügt | 2025-08-13 | 2025-08-10 |
| Preismodell | Freemium | Freemium |
| Offizielle Website | www.appsmith.com | dify.ai |
| Produkttyp | Website | Website |
| Performance data | ||
| Nutzerbewertung | Nicht verifiziert | Nicht verifiziert |
| Kommentare | 0 | 0 |
| Monatliche Besuche | 243.7K | 1.1M |
| Monatliches Wachstum | -27.3% | -11.6% |
| Favoriten | 88 | 76 |
| Details | Details ansehen | Details ansehen |
Appsmith vs Dify monthly traffic
Compare Appsmith and Dify by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Appsmith vs Dify monthly traffic comparison, Appsmith currently shows 243.7K visits and Dify shows 1.1M; Dify has about 4.4 times the visible traffic of Appsmith, an absolute difference of about 818.1K 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.
Appsmith monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 294.9K Monatliche Besuche
- 2026/1: 245K Monatliche Besuche
- 2026/2: 222.9K Monatliche Besuche
- 2026/3: 264K Monatliche Besuche
- 2026/4: 335.3K Monatliche Besuche
- 2026/5: 243.7K Monatliche Besuche
Top-Regionen
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇮🇳India | 53.21% | 129.7K |
| 🇦🇷Argentina | 16.66% | 40.6K |
| 🇺🇸United States | 13.8% | 33.6K |
| 🇫🇷France | 8.43% | 20.5K |
| 🇳🇬Nigeria | 7.9% | 19.3K |
Traffic-Quellen
| Source type | Percentage | Traffic |
|---|---|---|
| Direkt | 87.03% | 212.1K |
| Verweis | 7.91% | 19.3K |
| 5.06% | 12.3K |
Suchbegriffe
Dify monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 1.2M Monatliche Besuche
- 2026/1: 1.3M Monatliche Besuche
- 2026/2: 1.1M Monatliche Besuche
- 2026/3: 1.5M Monatliche Besuche
- 2026/4: 1.2M Monatliche Besuche
- 2026/5: 1.1M Monatliche Besuche
Top-Regionen
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇨🇳China | 66.76% | 708.9K |
| 🇯🇵Japan | 15.49% | 164.5K |
| 🇺🇸United States | 11.18% | 118.7K |
| 🇭🇰Hong Kong | 3.33% | 35.4K |
| 🇸🇬Singapore | 3.24% | 34.4K |
Traffic-Quellen
| Source type | Percentage | Traffic |
|---|---|---|
| Direkt | 80.17% | 851.3K |
| Verweis | 19.17% | 203.5K |
| 0.66% | 7K |
Suchbegriffe
Usage comparison
Compare the core capabilities of Appsmith and Dify
Appsmith Core features
Dify Core features
Use cases
Appsmith Use cases
Dify Use cases
Appsmith vs Dify:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Appsmith vs Dify comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Appsmith is primarily listed under “Interne Tools”, while Dify is primarily listed under “KI-Agent”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Appsmith: Interne Tools; Dify: KI-Agent); Monthly visits (Appsmith: 243.7K; Dify: 1.1M); Monthly growth (Appsmith: -27.3%; Dify: -11.6%); Favorites (Appsmith: 88; Dify: 76); Website (Appsmith: www.appsmith.com; Dify: dify.ai). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Appsmith vs Dify monthly traffic comparison, Appsmith currently shows 243.7K visits and Dify shows 1.1M; Dify has about 4.4 times the visible traffic of Appsmith, an absolute difference of about 818.1K 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 Dify 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
Appsmith and Dify currently overlap in shared categories: Low-Code No-Code und Workflow-Automatisierung; shared tags: Entwicklerwerkzeuge, Low-Code, No-Code, Open Source und Workflow-Automatisierung. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Appsmith's unique categories/tags are Interne Tools, Dashboard, Admin-Panel, KI-Anwendungs-Builder, Dashboard-Builder, Datenbank-GUI, Git und JavaScript; Dify's are KI-Agent, Chatbot, Anwendungs-Builder, Chatbot-Builder, LLMOps und Retrieval-Augmentierte Generierung. 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
Appsmith has no verified rating, 0 comments, 88 favorites, and 86 likes;Dify has no verified rating, 0 comments, 76 favorites, and 78 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Appsmith first
Put Appsmith on the priority trial list when the task aligns with “Interne Tools” and especially Interne Tools, Dashboard, Admin-Panel, KI-Anwendungs-Builder, Dashboard-Builder und Datenbank-GUI. This follows recorded positioning and does not imply unlisted capabilities are absent.
Appsmith also currently records: pricing is freemium, product type is website, 243.7K 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 Dify first
Put Dify on the priority trial list when the task aligns with “KI-Agent” and especially KI-Agent, Chatbot, Anwendungs-Builder, Chatbot-Builder, LLMOps und Retrieval-Augmentierte Generierung. This follows recorded positioning and does not imply unlisted capabilities are absent.
Dify also currently records: pricing is freemium, product type is website, 1.1M 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 Appsmith and Dify, 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.




