Comparison
lmnr vs openlit
Both lmnr and OpenLIT are open-source observability platforms tailored for AI applications, with differing specializations and toolsets.
Markdown twin · lmnr alternatives · openlit alternatives
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Tagline
- lmnr
- Observability platform for AI agents
- openlit
- Platform for AI Engineering Observability
Stars
- lmnr
- 3.1k
- openlit
- 2.6k
Forks
- lmnr
- 216
- openlit
- 319
Open issues
- lmnr
- 92
- openlit
- 53
Language
- lmnr
- TypeScript
- openlit
- TypeScript
Adopt for
- lmnr
- <b><i>lmnr</i></b>: Open-source observability platform designed specifically for AI agents, providing tools like tracing, signal monitoring, evaluations (evals), and custom dashboards in a high-performance rust-based SDK
- openlit
- Platform for AI Engineering Observability, integrating OpenTelemetry-native observability SDKs and supporting a wide array of LLM providers and GPU monitoring.
Persona
- lmnr
- -
- openlit
- -
Runtime
- lmnr
- -
- openlit
- -
License
- lmnr
- Apache-2.0
- openlit
- Apache-2.0
Last pushed
- lmnr
- Jul 8, 2026
- openlit
- Jul 7, 2026
Categories
- lmnr
- Evaluation & Observability, Developer Tools
- openlit
- Evaluation & Observability, Inference & Serving
Trust and health
Open issues (now)
- lmnr
- 92
- openlit
- 53
Full report
- lmnr
- Trust report
- openlit
- Trust report
Choose lmnr if…
- Tags unique to lmnr: evaluation, aiops, monitoring, llm-evaluation.
- Also covers Developer Tools.
- <ul><li>You are working with specific AI frameworks such as Vercel AI SDK, LangChain, or OpenAI where <b>lmnr</b>'s one-line integration can automate the tracing process.</li><br/><li>Your application
When NOT to use lmnr
- <ul><li>When you need a solution that does not support agent-specific tracing features or does not integrate well with specific AI frameworks like Vercel, LangChain, etc., as lmnr is specialized for.
- <br/><li>If you prefer open-source tools but require a simpler observability setup without the performance optimizations and extensive feature set of lmnr.</li>
- ],
Choose openlit if…
- Tags unique to openlit: llmops, gpu-monitoring, monitoring-tool, ai-observability.
- Also covers Inference & Serving.
- - When you need comprehensive monitoring tailored specifically for AI engineering tasks such as managing prompts, handling exceptions, and evaluating model performance with built-in evaluation types.
When NOT to use openlit
- - When looking for a tool exclusively focused on training models, as OpenLIT primarily caters to inference and serving phases with monitoring and evaluation functionalities.
- - If you are working in an environment where the Apache-2.0 license is not compliant or acceptable.
Explore
lmnr trust report →openlit trust report →Evaluation & Observability category →Developer Tools category →Inference & Serving category →All comparisonsStack workflowsTrending tools
Related comparisons
Common questions
- Which platform should I consider if my focus is on AI agents' behavior tracking?
- For behavior tracking specific to AI agents,lmnr would be the more suitable choice due to its specialized features in this area.
- If my current tech stack involves OpenTelemetry and multiple LLM providers, which tool fits better?
- OpenLIT is aligned with these requirements, offering seamless integration into existing observability infrastructures and supporting a wide variety of LLM providers.
- What is the difference between lmnr and openlit?
- lmnr: Observability platform for AI agents. openlit: Platform for AI Engineering Observability. See the comparison table for live GitHub stats and shared categories.
- When should I choose lmnr over openlit?
- Choose lmnr over openlit when Tags unique to lmnr: evaluation, aiops, monitoring, llm-evaluation; Also covers Developer Tools; <ul><li>You are working with specific AI frameworks such as Vercel AI SDK, LangChain, or OpenAI where <b>lmnr</b>'s one-line integration can automate the tracing process.</li><br/><li>Your application.
- When should I choose openlit over lmnr?
- Choose openlit over lmnr when Tags unique to openlit: llmops, gpu-monitoring, monitoring-tool, ai-observability; Also covers Inference & Serving; - When you need comprehensive monitoring tailored specifically for AI engineering tasks such as managing prompts, handling exceptions, and evaluating model performance with built-in evaluation types.
- When should I avoid lmnr?
- <ul><li>When you need a solution that does not support agent-specific tracing features or does not integrate well with specific AI frameworks like Vercel, LangChain, etc., as lmnr is specialized for. <br/><li>If you prefer open-source tools but require a simpler observability setup without the performance optimizations and extensive feature set of lmnr.</li> ],
- When should I avoid openlit?
- - When looking for a tool exclusively focused on training models, as OpenLIT primarily caters to inference and serving phases with monitoring and evaluation functionalities. - If you are working in an environment where the Apache-2.0 license is not compliant or acceptable.
- Is lmnr or openlit more popular on GitHub?
- lmnr has more GitHub stars (3,072 vs 2,581). Stars measure visibility, not whether either tool fits your constraints.
- Are lmnr and openlit open source?
- Yes - both are open-source projects on GitHub (lmnr: Apache-2.0, openlit: Apache-2.0).
- Where can I find alternatives to lmnr or openlit?
- GraphCanon lists graph-backed alternatives at /tools/lmnr-ai-lmnr/alternatives and /tools/openlit-openlit/alternatives (/tools/lmnr-ai-lmnr/alternatives.md, /tools/openlit-openlit/alternatives.md), ranked by typed relationship edges rather than popularity votes.
- Is there a machine-readable version of this comparison?
- Yes. The markdown twin at /compare/lmnr-ai-lmnr-vs-openlit-openlit.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, lmnr or openlit?
- lmnr: Very active. openlit: Very active. Compare maintenance labels, days since push, and release cadence in the trust section below - stars alone do not measure maintenance.
- Where are the full trust reports for lmnr and openlit?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: lmnr: /tools/lmnr-ai-lmnr/trust; openlit: /tools/openlit-openlit/trust.