OpenLLMetry
Open-source observability for LLM applications using OpenTelemetry standards
How the 8.2 was reached
- Quality of output7/10
7.4K stars, Apache-2.0, and its conventions were adopted into OpenTelemetry; 716 open issues. github.com
- Ease of use8/10
pip install and two lines of code to initialise; docs and a free tier are available. traceloop.com
- Pricing value9/10
Apache-2.0 library works with any of 25+ backends at no cost; Traceloop free tier of 50K spans a month. traceloop.com
- API and integration quality9/10
Python and TypeScript SDKs, standard OpenTelemetry output, 25+ observability platforms and many LLM providers. traceloop.com
- Solves the problem it claims to solve8/10
Delivers OpenTelemetry-based LLM observability; standard output and adoption of its conventions by OpenTelemetry support this. github.com
8.2/10 is the mean of the 5 criteria that apply. Scored on the five-criteria rubric v1, 29 September 2026. How scoring works
Pricing
- OpenTelemetry integration
- Multi-platform support
- LLM provider integrations
- Workflow tracing
Key Features
- OpenTelemetry-based LLM observability
- Python and TypeScript SDKs
- Integration with major LLM providers
- Workflow and function decorators
- Compatible with popular observability platforms
Pros & Cons
Pros
- Open source and free
- Standards-based approach with OpenTelemetry
- Easy 2-line setup
- Supports multiple LLM providers
- Works with existing observability tools
Cons
- Limited to observability only
- Requires OpenTelemetry knowledge
- May need additional tooling for full monitoring stack
- Documentation appears minimal
OpenLLMetry provides a solid, standards-based approach to LLM observability using OpenTelemetry. While it's a focused tool that does one thing well, teams will likely need additional monitoring infrastructure to get full value.
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