head to head · open source
llama_index vs OpenLLMetry
llama_index has 52,779 GitHub stars, 8,500 forks, 770 open issues and last shipped 8 days ago. OpenLLMetry has 7,516 stars, 1,183 forks, 676 open issues and last shipped yesterday. llama_index leads on adoption by 602% (52,779 vs 7,516 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 16%. OpenLLMetry 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 | ★ 53K | ★ 7.5K |
| License | MIT | Apache-2.0 |
| Written in | Python | Python |
| Last push | 2026-10-26 | 2026-11-02 |
| Forks | ⑂ 8.5K | ⑂ 1.2K |
| Self-hosting | Yes | Yes |
| Data ownership | Your server | Your server |
pick llama_index if
- You weight community size — 53K 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 (OSS Framework) 🦙 [!NOTE] The current focus of LlamaIndex is to build the best AI powered engine for document parsing and extraction. LlamaParse is our enterprise platform for agentic OCR, parsing, extraction, indexing and more. LiteParse represents our efforts to build the best free, fast, cheap text parser in the market. ParseBench and ExtractBench represent our commitment towards open benchmarking for parsing and extraction. The company itself has undergone an evolution since when this OSS framework first launched 3 years ago in 2023. Since the early days, the framework has consisted of a…
read the full llama_index 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 llama_index or OpenLLMetry more popular?
llama_index has 52,779 GitHub stars and OpenLLMetry has 7,516. 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 (52,779 stars) or its MIT licence terms. Choose OpenLLMetry if its feature set, stack or Apache-2.0 licence fits better. Both are self-hostable.