lmnr vs openlit

Common questions

Which tool should I use if I prefer not to use Docker Compose for deployment?

If you prefer not to use Docker Compose for deployment, OpenLIT might be a better fit as it does not have a specific requirement for Docker Compose like Laminar does.

What if my project does not involve AI agents?

Neither Laminar nor OpenLIT would be suitable if your project does not involve AI agents, as both tools are specifically designed for monitoring and evaluating AI agents.

Can I use these tools if I am looking for a proprietary solution?

No, both Laminar and OpenLIT are open-source tools, so they would not be suitable if you are looking for a proprietary solution.

Which tool should I choose if I need detailed cost tracking?

If detailed cost tracking is a requirement, OpenLIT is the better choice as it supports tracking costs across multiple dimensions and even custom pricing for models.

What is the difference between lmnr and openlit?

lmnr: Laminar - open-source observability platform for AI agents. openlit: Open-source observability & evaluation platform for AI agents and coding agents. 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: agent-observability, aiops, llm-observability, llmops; Also covers Developer Tools; Use lmnr when you need a comprehensive observability solution for AI agents that supports both self-hosting and a managed platform.

When should I choose openlit over lmnr?

Choose openlit over lmnr when Pricing: OpenLIT is free and open-source under the Apache License 2.0.; Requirements: Installation is available via pip for Python and npm for TypeScript.; Tags unique to openlit: ai-engineering, ai-evaluation, ai-observability-platform, amd-gpu; When you need to track and evaluate the performance and costs of AI and coding agents using OpenTelemetry.

When should I avoid lmnr?

Avoid lmnr if you require a platform that does not support self-hosting or if you prefer not to use Docker Compose for deployment. Do not use lmnr if you are looking for a solution that is not open-source or if you need a platform that is not licensed under Apache-2.0. If your project does not involve AI agents or if you do not need the specific observability features provided by lmnr, consider other tools.

When should I avoid openlit?

If your project does not require observability and evaluation features for AI and coding agents. When you prefer proprietary tools over open-source solutions. If your project does not involve AI applications or does not need detailed cost tracking across multiple dimensions.

Is lmnr or openlit more popular on GitHub?

lmnr has more GitHub stars (3,265 vs 2,770). 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 lmnr alternatives and openlit alternatives (lmnr markdown twin, openlit markdown twin), ranked by typed relationship edges rather than popularity votes.

Is there a machine-readable version of this comparison?

Yes. The markdown twin at this comparison 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 trust report; openlit trust report.