Dify is an open-source, low-code AI development platform for building and operating production-ready generative AI applications. It enables the creation of AI agents and workflows powered by RAG pipelines, extensive model support, and full observability, simplifying the entire development lifecycle from idea to deployment.
Retool is an AI-powered development platform for building internal software, applications, and automated workflows with exceptional speed. It enables developers and teams to create custom tools like admin panels, dashboards, and CRMs by connecting to any database or API, using a combination of visual building, code, and AI agents.
Product overview
Dify Product overview
Dify is an open-source, low-code AI development platform for building and operating production-ready generative AI applications. It enables the creation of AI agents and workflows powered by RAG pipelines, extensive model support, and full observability, simplifying the entire development lifecycle from idea to deployment.
Retool Product overview
Retool is an AI-powered development platform for building internal software, applications, and automated workflows with exceptional speed. It enables developers and teams to create custom tools like admin panels, dashboards, and CRMs by connecting to any database or API, using a combination of visual building, code, and AI agents.
Detailed feature comparison
| Feature | Dify | Retool |
|---|---|---|
| Primary category | Ai Agent | Internal Tools |
| Added | 2025-08-10 | 2025-08-08 |
| Pricing | Freemium | Freemium |
| Official website | dify.ai | retool.com |
| Product type | Website | Website |
| Performance data | ||
| User rating | Not verified | Not verified |
| Comments | 0 | 0 |
| Monthly visits | 1.1M | 1.6M |
| Monthly growth | -11.6% | -10.2% |
| Favorites | 76 | 126 |
| Details | View details | View details |
Dify vs Retool monthly traffic
Compare Dify and Retool by monthly reach, traffic trend, visit depth, top regions, and acquisition sources.
How to interpret the traffic data
In the Dify vs Retool monthly traffic comparison, Dify currently shows 1.1M visits and Retool shows 1.6M; Retool has about 1.5 times the visible traffic of Dify, an absolute difference of about 514K 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.
Dify monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 1.2M Monthly visits
- 2026/1: 1.3M Monthly visits
- 2026/2: 1.1M Monthly visits
- 2026/3: 1.5M Monthly visits
- 2026/4: 1.2M Monthly visits
- 2026/5: 1.1M Monthly visits
Top regions
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 sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 80.17% | 851.3K |
| Referral | 19.17% | 203.5K |
| 0.66% | 7K |
Search keywords
Retool monthly traffic:
Latest traffic
Monthly traffic trend
- 2025/9: 1.9M Monthly visits
- 2026/1: 1.9M Monthly visits
- 2026/2: 1.7M Monthly visits
- 2026/3: 2.1M Monthly visits
- 2026/4: 1.8M Monthly visits
- 2026/5: 1.6M Monthly visits
Top regions
Top 5 countries/regions
| Country/region | Percentage | Traffic |
|---|---|---|
| 🇺🇸United States | 58.95% | 929K |
| 🇮🇳India | 16.3% | 256.9K |
| 🇬🇧United Kingdom | 8.6% | 135.5K |
| 🇫🇷France | 8.5% | 133.9K |
| 🇦🇺Australia | 7.65% | 120.6K |
Traffic sources
| Source type | Percentage | Traffic |
|---|---|---|
| Direct | 90.79% | 1.4M |
| Referral | 5.51% | 86.8K |
| 3.7% | 58.3K |
Search keywords
Usage comparison
Compare the core capabilities of Dify and Retool
Dify Core features
Retool Core features
Use cases
Dify Use cases
Retool Use cases
Dify vs Retool:In-depth comparison and selection guidance
First decide whether the products solve the same kind of need
This in-depth Dify vs Retool comparison uses only the product records, taxonomy, audience, traffic, and community signals available on this page. Dify is primarily listed under “Ai Agent”, while Retool is primarily listed under “Internal Tools”, so the first decision is whether your actual task matches their recorded scope.
The structured fields currently show these decision-relevant differences: Primary category (Dify: Ai Agent; Retool: Internal Tools); Monthly visits (Dify: 1.1M; Retool: 1.6M); Monthly growth (Dify: -11.6%; Retool: -10.2%); Favorites (Dify: 76; Retool: 126); Website (Dify: dify.ai; Retool: retool.com). These facts are more useful for selection than brand visibility alone.
What market visibility and monthly traffic mean
In the Dify vs Retool monthly traffic comparison, Dify currently shows 1.1M visits and Retool shows 1.6M; Retool has about 1.5 times the visible traffic of Dify, an absolute difference of about 514K 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 Retool 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
Dify and Retool currently overlap in shared categories: Low Code No Code and Workflow Automation; shared tags: application builder, developer tools, low-code, no-code, and workflow automation. This can place both on the same shortlist, but it does not prove equal implementation, depth, or cost.
Dify's unique categories/tags are Ai Agent, Chatbot, AI agent, chatbot builder, LLMOps, open source, and RAG; Retool's are Internal Tools, admin panel, ai agents, business intelligence, CRM, dashboard, database UI, and internal tools. 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
Dify has no verified rating, 0 comments, 76 favorites, and 78 likes;Retool has no verified rating, 0 comments, 126 favorites, and 122 likes。
Neither product has enough rating or comment samples for a credible reputation ranking.
Selection guidance by actual need
When to evaluate Dify first
Put Dify on the priority trial list when the task aligns with “Ai Agent” and especially Ai Agent, Chatbot, AI agent, chatbot builder, LLMOps, and open source. 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.
When to evaluate Retool first
Put Retool on the priority trial list when the task aligns with “Internal Tools” and especially Internal Tools, admin panel, ai agents, business intelligence, CRM, and dashboard. This follows recorded positioning and does not imply unlisted capabilities are absent.
Retool also currently records: pricing is freemium, product type is website, 1.6M 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 Dify and Retool, 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.
Comparison FAQ
How should I choose between Dify and Retool?
Where does this comparison data come from?
What do unknown fields mean?
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