OpenLLMetry vs Prompt flow
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?
OpenLLMetry
Open-source observability for LLM applications
VS
Prompt flow
Build and evaluate LLM application flows
| Feature | OpenLLMetry | Prompt flow |
|---|---|---|
| Category | Self-Hosted AI | Self-Hosted AI |
| License | Apache-2.0 | MIT |
| Language | Python | Python |
| Setup difficulty | Medium | Medium |
| Min. RAM | 512 MB | 2,048 MB |
| Deployment | docker, source | docker, source |
| GitHub stars | ★ 7,360 | ★ 11,216 |
| First released | 2023 | 2023 |
| Replaces | LangSmith, Datadog LLM Observability | LangSmith, Vertex AI |
Why pick each one
Choose OpenLLMetry if…
- Released under the Apache-2.0 license
- First-class Docker support for quick deployment
- Mature project with 7.4k GitHub stars
- Written in Python
Choose Prompt flow if…
- Released under the MIT license
- First-class Docker support for quick deployment
- Mature project with 11.2k GitHub stars
- Written in Python
Frequently asked questions
Is OpenLLMetry or Prompt flow better?
Neither is universally better. Prompt flow has the larger community; both share a medium setup difficulty, so the decision comes down to features and licensing.
Are OpenLLMetry and Prompt flow free and open-source?
Yes. OpenLLMetry is licensed under Apache-2.0 and Prompt flow under MIT. Both can be self-hosted at no software cost.
Can I run OpenLLMetry and Prompt flow with Docker?
OpenLLMetry: yes. Prompt flow: yes.