ExLlamaV2 vs Langflow
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?
ExLlamaV2
Fast inference library for quantized LLMs on consumer GPUs
VS
Langflow
Visual framework for building AI agents and RAG pipelines
| Feature | ExLlamaV2 | Langflow |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | MIT |
| Language | Python | Python |
| Setup difficulty | Hard | Medium |
| Min. RAM | 8,192 MB | 2,048 MB |
| Deployment | bare-metal, source | docker, kubernetes, bare-metal |
| GitHub stars | ★ 4,602 | ★ 152,941 |
| First released | 2023 | 2023 |
| Replaces | OpenAI API | Vertex AI Agent Builder |
Why pick each one
Choose ExLlamaV2 if…
- Released under the MIT license
- Active community (4.6k GitHub stars)
- Written in Python
Choose Langflow if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 152.9k GitHub stars
Frequently asked questions
Is ExLlamaV2 or Langflow better?
Langflow 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 ExLlamaV2 and Langflow free and open-source?
Yes. ExLlamaV2 is licensed under MIT and Langflow under MIT. Both can be self-hosted at no software cost.
Can I run ExLlamaV2 and Langflow with Docker?
ExLlamaV2: check the project docs for container support. Langflow: yes.