---
title: "lmnr vs openlit"
type: "comparison"
canonical_url: "https://www.graphcanon.com/compare/lmnr-ai-lmnr-vs-openlit-openlit"
tools: ["lmnr-ai-lmnr", "openlit-openlit"]
---

# lmnr vs openlit

Both lmnr and OpenLIT are open-source observability platforms tailored for AI applications, with differing specializations and toolsets.

| | [lmnr](/tools/lmnr-ai-lmnr.md) | [openlit](/tools/openlit-openlit.md) |
| --- | --- | --- |
| Tagline | Observability platform for AI agents | Platform for AI Engineering Observability |
| Stars | 3,072 | 2,581 |
| Forks | 216 | 319 |
| Open issues | 92 | 53 |
| Language | TypeScript | TypeScript |
| Adopt for | <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 | Platform for AI Engineering Observability, integrating OpenTelemetry-native observability SDKs and supporting a wide array of LLM providers and GPU monitoring. |
| Persona | - | - |
| Runtime | - | - |
| License | Apache-2.0 | Apache-2.0 |
| Categories | Evaluation & Observability, Developer Tools | Evaluation & Observability, Inference & Serving |

## Trust and health

_Sourced signals - not a safety guarantee. No winner column._

| | [lmnr](/tools/lmnr-ai-lmnr.md) | [openlit](/tools/openlit-openlit.md) |
| --- | --- | --- |
| Open issues (now) | 92 | 53 |
| Full report | [trust report](/tools/lmnr-ai-lmnr/trust.md) | [trust report](/tools/openlit-openlit/trust.md) |

## Decision facts: lmnr

- **Adopt for:** <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

## Decision facts: openlit

- **Adopt for:** Platform for AI Engineering Observability, integrating OpenTelemetry-native observability SDKs and supporting a wide array of LLM providers and GPU monitoring.

## Choose when

### 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

### 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 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 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.

## 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.

---

**Machine-readable endpoints**

- JSON: [`/api/graphcanon/graph?tool=lmnr-ai-lmnr`](/api/graphcanon/graph?tool=lmnr-ai-lmnr)
- LLM index: [/llms.txt](/llms.txt)
- Full corpus: [/llms-full.txt](/llms-full.txt)

_GraphCanon - The knowledge graph for AI development. https://www.graphcanon.com/_