Dify vs Text Generation WebUI: which one to choose in 2026?
Both are open source alternatives to OpenAI API. We compare license, tech stack and features to help you decide which fits your team best.
| Dify | Text Generation WebUI | |
|---|---|---|
| Category | Artificial Intelligence | Artificial Intelligence |
| License | Apache-2.0 | AGPL-3.0 |
| GitHub stars | 54k | 42k |
| Tech stack | Python, Next.js, PostgreSQL | Python, PyTorch |
| Replaces | OpenAI API | OpenAI API |
Dify has more GitHub stars, which usually indicates a larger community (not necessarily that it's the best option for your use case).
Dify
Platform for building AI apps with a visual editor and observability.
Pros
- Cuts down a lot of the code needed to ship an AI product
Things to consider
- Full production stack has several services (Weaviate/Redis)
Text Generation WebUI
Advanced interface for local text models, an alternative to the OpenAI API.
Pros
- Very flexible for experimenting with different model formats
Things to consider
- Requires a powerful GPU for the largest models
Key features
Dify
- Visual editor for AI agents and flows
- Observability and logs for every conversation
- Multi-model: OpenAI, Anthropic, local
Text Generation WebUI
- Supports multiple backends (llama.cpp, ExLlama, Transformers)
- Community extensions
- OpenAI-compatible API