openlit vs openllmetry

Common questions

Which tool should I choose if my project is not in Python?

If your project is not in Python, OpenLIT might be a better fit as it does not have the same language-specific limitations as OpenLLMetry.

Can either tool be used for non-AI projects?

Neither OpenLIT nor OpenLLMetry is designed for non-AI projects, as both tools are specifically tailored for AI applications.

What if I need more than just observability features?

If your project requires more than just observability features, neither OpenLIT nor OpenLLMetry may fully meet your needs, as both tools are primarily focused on monitoring and metrics for AI applications.

What is the difference between openlit and openllmetry?

openlit: Open-source observability & evaluation platform for AI agents and coding agents. openllmetry: Open-source observability for GenAI or LLM applications based on OpenTelemetry. See the comparison table for live GitHub stats and shared categories.

When should I choose openlit over openllmetry?

Choose openlit over openllmetry when openlit is primarily TypeScript; openllmetry is Python; 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, ai-observability-platform; openlit ships Docker support for self-hosted deployment; When you need to track and evaluate the performance and costs of AI and coding agents using OpenTelemetry.

When should I choose openllmetry over openlit?

Choose openllmetry over openlit when openllmetry is primarily Python; openlit is TypeScript; Tags unique to openllmetry: artifical-intelligence, datascience, generative-ai, llm; When you are working on GenAI or LLM applications and need observability features that are specifically tailored for these types of applications.

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.

When should I avoid openllmetry?

If your application is not in Python, as OpenLLMetry's primary support is for Python applications, limiting its utility for other languages. When you need a tool that offers more than just observability features, as OpenLLMetry focuses specifically on monitoring and metrics for GenAI and LLM applications and may not cover other aspects of

Is openlit or openllmetry more popular on GitHub?

openllmetry has more GitHub stars (7,438 vs 2,770). Stars measure visibility, not whether either tool fits your constraints.

Are openlit and openllmetry open source?

Yes - both are open-source projects on GitHub (openlit: Apache-2.0, openllmetry: Apache-2.0).

Where can I find alternatives to openlit or openllmetry?

GraphCanon lists graph-backed alternatives at openlit alternatives and openllmetry alternatives (openlit markdown twin, openllmetry 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, openlit or openllmetry?

openlit: Very active. openllmetry: 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 openlit and openllmetry?

GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: openlit trust report; openllmetry trust report.