Dify vs ExLlamaV2
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
ExLlamaV2
Fast inference library for quantized LLMs on consumer GPUs
| Feature | Dify | ExLlamaV2 |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | Apache-2.0 | MIT |
| Language | TypeScript | Python |
| Setup difficulty | Medium | Hard |
| Min. RAM | 4,096 MB | 8,192 MB |
| Deployment | docker, kubernetes, helm | bare-metal, source |
| GitHub stars | ★ 151,746 | ★ 4,602 |
| First released | 2023 | 2023 |
| Replaces | OpenAI Assistants, Vertex AI Agent Builder | OpenAI API |
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 ExLlamaV2 if…
- Released under the MIT license
- Active community (4.6k GitHub stars)
- Written in Python
Frequently asked questions
Is Dify or ExLlamaV2 better?
Dify is the stronger all-round pick: it has both the larger community and the simpler medium setup. Consider ExLlamaV2 if its specific feature set fits your needs better.
Are Dify and ExLlamaV2 free and open-source?
Yes. Dify is licensed under Apache-2.0 and ExLlamaV2 under MIT. Both can be self-hosted at no software cost.
Can I run Dify and ExLlamaV2 with Docker?
Dify: yes. ExLlamaV2: check the project docs for container support.