Dify vs Rasa Open Source
A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.
Not the right match-up?
Dify
Open-source platform for building production LLM apps
VS
Rasa Open Source
Framework for building contextual text and voice assistants
| Feature | Dify | Rasa Open Source |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | Apache-2.0 | Apache-2.0 |
| Language | TypeScript | Python |
| Setup difficulty | Medium | Hard |
| Min. RAM | 4,096 MB | 2,048 MB |
| Deployment | docker, kubernetes, helm | docker, source |
| GitHub stars | ★ 151,746 | ★ 21,288 |
| First released | 2023 | 2017 |
| Replaces | OpenAI Assistants, Vertex AI Agent Builder | Dialogflow, Amazon Lex |
Why pick each one
Choose Dify if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 151.7k GitHub stars
Choose Rasa Open Source if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Mature project with 21.3k GitHub stars
- Written in Python
Frequently asked questions
Is Dify or Rasa Open Source better?
Dify is the stronger all-round pick: it has both the larger community and the simpler medium setup. Consider Rasa Open Source if its specific feature set fits your needs better.
Are Dify and Rasa Open Source free and open-source?
Yes. Dify is licensed under Apache-2.0 and Rasa Open Source under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Dify and Rasa Open Source with Docker?
Dify: yes. Rasa Open Source: yes.