head to head · open source
LocalAI vs OpenLLMetry
LocalAI has 49,179 GitHub stars, 4,458 forks, 201 open issues and last shipped today. OpenLLMetry has 7,443 stars, 1,087 forks, 676 open issues and last shipped 3 days ago. LocalAI leads on adoption by 561% (49,179 vs 7,443 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 15%. 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 | ★ 49K | ★ 7.4K |
| License | MIT | Apache-2.0 |
| Written in | Go | Python |
| Last push | 2026-09-20 | 2026-09-17 |
| Forks | ⑂ 4.5K | ⑂ 1.1K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick LocalAI if
- You weight community size — 49K 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
LocalAI is an open source AI runtime that enables running large language models (LLMs), vision, audio, image, and video models locally or on premises. It operates as a modular engine where each model type is backed by a dedicated, lightweight backend—such as llama.cpp, whisper.cpp, or stable diffusion—pulled only when needed. This composable architecture avoids bundling unnecessary dependencies, keeping the core minimal while supporting diverse modalities and hardware configurations.
read the full LocalAI overview →
About OpenLLMetry
OpenLLMetry is an Apache 2.0 set of OpenTelemetry based extensions, built and maintained by Traceloop, that gives complete observability over Python GenAI and LLM applications, and it is aimed at teams already running LLM workloads that need tracing, metrics, and model monitoring without adopting a proprietary agent.
read the full OpenLLMetry overview →
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Frequently asked questions
Is LocalAI or OpenLLMetry more popular?
LocalAI has 49,179 GitHub stars and OpenLLMetry has 7,443. 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 (49,179 stars) or its MIT licence terms. Choose OpenLLMetry if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.