head to head · open source
LocalAI vs OpenLLMetry
LocalAI has 50,187 GitHub stars, 4,574 forks, 201 open issues and last shipped yesterday. OpenLLMetry has 7,520 stars, 1,185 forks, 676 open issues and last shipped 2 days ago. LocalAI leads on adoption by 567% (50,187 vs 7,520 stars). LocalAI is written in Go under MIT; OpenLLMetry is written in Python under Apache-2.0. LocalAI has attracted 9% as many forks as stars, OpenLLMetry 16%. LocalAI was the more recently maintained of the two, and both are self-hostable with no licence fee. The two share 1 topic tag (llm), so they are genuine substitutes rather than adjacent tools.
Two open source projects, one decision. Both are free and self-hostable — the differences are community size, license terms, language stack and release pace.
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Side by side
| LocalAI | OpenLLMetry | |
|---|---|---|
| GitHub stars | ★ 50K | ★ 7.5K |
| License | MIT | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-11-04 | 2026-11-03 |
| Forks | ⑂ 4.6K | ⑂ 1.2K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LocalAI if
- You weight community size — 50K stars and counting
- You want the MIT license terms
- Your stack matches Go
- You value the larger contributor base for long-term maintenance
pick OpenLLMetry if
- You want the OpenLLMetry feature set and don't need the biggest community
- You prefer the Apache-2.0 license terms
- Your stack matches Python
- You evaluated both and OpenLLMetry fits your workflow better
About LocalAI
Deutsch Español français 日本語 한국어 Português Русский 中文 LocalAI is the open source AI engine. Run any model LLMs, vision, voice, image, video on any hardware. No GPU required. A small core, not a bundle. Each backend wraps a best in class engine (llama.cpp, vLLM, whisper.cpp, stable diffusion, MLX...) in its own image, pulled only when a model needs it. You install nothing you don't use. Composable by design : backends are separate and pulled on demand, so you install only what your model needs Open and extensible : load any model, or build your own backend in any language against an open interface Drop in API…
read the full LocalAI overview →
About OpenLLMetry
Open source observability for your LLM application Get started » Slack Docs Website 🎉 New : Our semantic conventions are now part of OpenTelemetry! Join the discussion and help us shape the future of LLM observability. Looking for the JS/TS version? Check out OpenLLMetry JS. OpenLLMetry is a set of extensions built on top of OpenTelemetry that gives you complete observability over your LLM application. Because it uses OpenTelemetry under the hood, it can be connected to your existing observability solutions Datadog, Honeycomb, and others. It's built and maintained by Traceloop under the Apache 2.0 license. The…
read the full OpenLLMetry overview →
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Frequently asked questions
Is LocalAI or OpenLLMetry more popular?
LocalAI has 50,187 GitHub stars and OpenLLMetry has 7,520. LocalAI has the larger community by that measure.
Are LocalAI and OpenLLMetry free?
Both are open source. LocalAI is licensed under MIT and OpenLLMetry under Apache-2.0. Neither carries a licence fee.
What is the difference between LocalAI and OpenLLMetry?
LocalAI is written in Go and OpenLLMetry in Python. The practical differences are community size, licence terms, language stack and release cadence — all compared in the table above.
Which should I choose, LocalAI or OpenLLMetry?
Choose LocalAI if you want the larger community (50,187 stars) or its MIT licence terms. Choose OpenLLMetry if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.