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Dify vs Mastra
Side-by-side comparison of Dify and Mastra — features, pricing, performance scores, and which to choose for your AI agents.
View All Framework ComparisonsQuick Verdict
| Dimension | Dify | Mastra | 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, Mastra wins 0, 2 tied
Feature Comparison
| Feature | Dify | Mastra |
|---|---|---|
| Primary Language | Python | TypeScript |
| License | Apache-2.0 | MIT |
| Pricing | Open Source + Cloud | Open Source |
| 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
Mastra
Advantages
TypeScript-first framework
Good for JavaScript developers
YC-backed with funding
MIT license
Quick development focus
Limitations
Very new framework
Small community
Limited documentation
Fewer integrations than Python frameworks
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
Mastra
TypeScript AI applications
Next.js AI integrations
Node.js agent systems
Rapid MVP development
Getting Started
Dify
Installation
docker-compose up or pip install
Mastra
Installation
npm install @mastra/core
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