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Dify vs Google ADK
Side-by-side comparison of Dify and Google ADK — features, pricing, performance scores, and which to choose for your AI agents.
View All Framework ComparisonsQuick Verdict
| Dimension | Dify | Google ADK | Winner |
|---|---|---|---|
Ease of Use | 4/5 | 4/5 | Tie |
Scalability | 5/5 | 4/5 | Dify |
Documentation | 5/5 | 4/5 | Dify |
Community | 5/5 | 3/5 | Dify |
Performance | 4/5 | 4/5 | Tie |
Overall: Dify wins 3 categories, Google ADK wins 0, 2 tied
Feature Comparison
| Feature | Dify | Google ADK |
|---|---|---|
| Primary Language | Python | Python |
| License | Apache-2.0 | Apache-2.0 |
| Pricing | Open Source + Cloud | Open Source + Cloud |
| GitHub Stars | 100,000 | 7,500 |
| Difficulty | Intermediate | Intermediate |
| Enterprise Ready | ||
| Community Size | Very Large | Medium |
| Category | Visual Development | Multi-Agent Systems |
Pros & Cons
Dify
Advantages
Comprehensive LLMOps platform
Visual agent building with code flexibility
Strong community (100k+ stars)
Apache 2.0 license
Production-ready with observability
Multi-agent orchestration
Cloud and self-host options
Limitations
Can be complex to set up initially
Docker-based deployment required
Learning curve for full platform
Cloud pricing for managed version
Google ADK
Advantages
Official Google framework
Vertex AI integration
Developer UI and CLI tools
Apache 2.0 license
Built-in evaluation utilities
Limitations
Optimized for Google ecosystem
Smaller community
Documentation could be better
Requires GCP for full benefits
Best Use Cases
Dify
LLMOps and model management
Visual agent building
RAG applications
Multi-agent orchestration
Internal AI tools and assistants
API-based AI services
Google ADK
Multi-agent GCP applications
Vertex AI-powered agents
Enterprise Google Cloud workflows
Tool-integrated agent systems
Getting Started
Dify
Installation
docker-compose up or pip install
Google ADK
Installation
pip install google-adk
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