BentoML 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?
BentoML
Framework for building and serving AI model APIs
VS
Langflow
Visual framework for building AI agents and RAG pipelines
| Feature | BentoML | Langflow |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | Apache-2.0 | MIT |
| Language | Python | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 2,048 MB | 2,048 MB |
| Deployment | docker, kubernetes, source | docker, kubernetes, bare-metal |
| GitHub stars | ★ 8,768 | ★ 152,941 |
| First released | 2019 | 2023 |
| Replaces | Amazon SageMaker, Vertex AI | Vertex AI Agent Builder |
Why pick each one
Choose BentoML if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Kubernetes-ready with Helm charts available
- Mature project with 8.8k GitHub stars
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 BentoML or Langflow better?
Neither is universally better. Langflow has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are BentoML and Langflow free and open-source?
Yes. BentoML is licensed under Apache-2.0 and Langflow under MIT. Both can be self-hosted at no software cost.
Can I run BentoML and Langflow with Docker?
BentoML: yes. Langflow: yes.