langtrace vs openllmetry

Common questions

What is the difference between langtrace and openllmetry?

langtrace: Open Telemetry based observability tool for LLM applications. 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 langtrace over openllmetry?

Choose langtrace over openllmetry when langtrace is primarily TypeScript; openllmetry is Python; License: langtrace is AGPL-3.0, openllmetry is Apache-2.0; OpenLLMetry by Traceloop works similarly to Langtrace in offering open-source observability tools for LLM applications; Tags unique to langtrace: ai, datasets, evaluations, gpt; langtrace ships Docker support for self-hosted deployment; When developing or using LLMs and frameworks where end-to-end visibility into every aspect of model performance is crucial.

When should I choose openllmetry over langtrace?

Choose openllmetry over langtrace when openllmetry is primarily Python; langtrace is TypeScript; License: openllmetry is Apache-2.0, langtrace is AGPL-3.0; OpenLLMetry by Traceloop works similarly to Langtrace in offering open-source observability tools for LLM applications; Tags unique to openllmetry: artifical-intelligence, datascience, generative-ai, llmops; 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 langtrace?

For teams that do not require real-time tracing and evaluations, as implementing Langtrace might introduce unnecessary overhead. When working with non-LLM AI applications or other machine learning models, Langtrace’s specialized features for large language models may not provide much value.

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 langtrace or openllmetry more popular on GitHub?

openllmetry has more GitHub stars (7,438 vs 1,232). Stars measure visibility, not whether either tool fits your constraints.

Are langtrace and openllmetry open source?

Yes - both are open-source projects on GitHub (langtrace: AGPL-3.0, openllmetry: Apache-2.0).

Where can I find alternatives to langtrace or openllmetry?

GraphCanon lists graph-backed alternatives at langtrace alternatives and openllmetry alternatives (langtrace 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, langtrace or openllmetry?

langtrace: Slowing. 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 langtrace and openllmetry?

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