head to head · open source
llama_index vs OpenLLMetry
llama_index has 52,202 GitHub stars, 8,162 forks, 770 open issues and last shipped yesterday. OpenLLMetry has 7,438 stars, 1,083 forks, 676 open issues and last shipped yesterday. llama_index leads on adoption by 602% (52,202 vs 7,438 stars). llama_index is written in Python under MIT; OpenLLMetry is written in Python under Apache-2.0. llama_index has attracted 16% as many forks as stars, OpenLLMetry 15%. llama_index 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
| llama_index | OpenLLMetry | |
|---|---|---|
| GitHub stars | ★ 52K | ★ 7.4K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-09-17 | 2026-09-17 |
| Forks | ⑂ 8.2K | ⑂ 1.1K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llama_index if
- You weight community size — 52K stars and counting
- You want the MIT license terms
- Your stack matches Python
- 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 llama_index
LlamaIndex is an MIT licensed, open source Python framework for building agentic applications — retrieval augmented generation systems, agents and multi agent workflows — on top of private documents and data, and it is aimed at AI engineers and teams who need to connect large language models to their own sources of context.
read the full llama_index 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 llama_index or OpenLLMetry more popular?
llama_index has 52,202 GitHub stars and OpenLLMetry has 7,438. llama_index has the larger community by that measure.
Are llama_index and OpenLLMetry free?
Both are open source. llama_index is licensed under MIT and OpenLLMetry under Apache-2.0. Neither carries a licence fee.
What is the difference between llama_index and OpenLLMetry?
llama_index is written in Python 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, llama_index or OpenLLMetry?
Choose llama_index if you want the larger community (52,202 stars) or its MIT licence terms. Choose OpenLLMetry if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.