Langflow vs SGLang
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?
Langflow
Visual framework for building AI agents and RAG pipelines
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SGLang
Fast serving framework for LLMs and vision-language models
| Feature | Langflow | SGLang |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | MIT | Apache-2.0 |
| Language | Python | Python |
| Setup difficulty | Medium | Hard |
| Min. RAM | 2,048 MB | 16,384 MB |
| Deployment | docker, kubernetes, bare-metal | docker, kubernetes, bare-metal |
| GitHub stars | ★ 152,941 | ★ 31,514 |
| First released | 2023 | 2024 |
| Replaces | Vertex AI Agent Builder | OpenAI API |
Why pick each one
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
Choose SGLang if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 31.5k GitHub stars
Frequently asked questions
Is Langflow or SGLang better?
Langflow is the stronger all-round pick: it has both the larger community and the simpler medium setup. Consider SGLang if its specific feature set fits your needs better.
Are Langflow and SGLang free and open-source?
Yes. Langflow is licensed under MIT and SGLang under Apache-2.0. Both can be self-hosted at no software cost.
Can I run Langflow and SGLang with Docker?
Langflow: yes. SGLang: yes.