Comparison
langtrace vs ragas
langtrace (Open Source Observability for LLM Applications) vs ragas (Supercharge Your LLM Application Evaluations) - live GitHub stats and typed graph relationships, not marketing.
Markdown twin · langtrace alternatives · ragas alternatives
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Tagline
- langtrace
- Open Source Observability for LLM Applications
- ragas
- Supercharge Your LLM Application Evaluations
Stars
- langtrace
- 1.2k
- ragas
- 15k
Forks
- langtrace
- 124
- ragas
- 1.5k
Open issues
- langtrace
- 1
- ragas
- 478
Language
- langtrace
- TypeScript
- ragas
- Python
Adopt for
- langtrace
- Langtrace is an open-source observability software that provides real-time monitoring and performance insights for applications leveraging LLM APIs, vector databases, and LLM-based frameworks through Open Telemetry. It's
- ragas
- Ragas is an essential toolkit for evaluating and improving Large Language Model applications through objective metrics, intelligent test generation, and seamless integration with popular frameworks.
Persona
- langtrace
- -
- ragas
- -
Runtime
- langtrace
- -
- ragas
- -
License
- langtrace
- AGPL-3.0 implies that any changes made to the software must be released under the same license, which might limit its use in commercial products closed off to users.
- ragas
- Apache-2.0
Last pushed
- langtrace
- Nov 17, 2025
- ragas
- Feb 24, 2026
Categories
- langtrace
- Evaluation & Observability
- ragas
- Evaluation & Observability
Trust and health
Days since push
- langtrace
- 232d
- ragas
- 134d
Open issues (now)
- langtrace
- 1
- ragas
- 478
Full report
- langtrace
- Trust report
- ragas
- Trust report
Typed relationship
langtrace alternative ragasRagas by VibrantLabsAI focuses on evaluation and observability for LLM applications, which aligns with the features offered by Langtrace.
Shared compatibility
- Python · langtrace: Python runtime · ragas: Python runtime
Choose langtrace if…
- langtrace is primarily TypeScript; ragas is Python.
- License: langtrace is AGPL-3.0, ragas is Apache-2.0.
- Requirements: Self-hosting is available as an option if desired..
- Ragas by VibrantLabsAI focuses on evaluation and observability for LLM applications, which aligns with the features offered by Langtrace.
- Tags unique to langtrace: evaluations, ai, datasets, observability.
- langtrace ships Docker support for self-hosted deployment.
- - When you are developing or managing applications that heavily rely on LLM APIs and want to capture, debug, and analyze traces and metrics in real-time using Open Telemetry.
When NOT to use langtrace
- - If you need proprietary features absent from the AGPL-3.0 open-source license, as Langtrace's nature may limit its use in closed or commercial projects.
- - For organizations with existing observability solutions deeply integrated into their infrastructure that do not benefit significantly from adding an additional layer of monitoring.
Choose ragas if…
- ragas is primarily Python; langtrace is TypeScript.
- License: ragas is Apache-2.0, langtrace is AGPL-3.0.
- Ragas by VibrantLabsAI focuses on evaluation and observability for LLM applications, which aligns with the features offered by Langtrace.
- Tags unique to ragas: llmops, evaluation.
- - When you need to assess the performance of your LLM applications with quantitative metrics beyond subjective evaluations.
When NOT to use ragas
- - Avoid using Ragas if your LLM evaluation solely relies on qualitative assessments without the need for quantitative metrics.
- - If you prefer a toolkit that does not offer out-of-the-box integrations with commonly used LLM frameworks like LangChain.
- - When specific custom evaluations are needed outside of predefined templates such as Aspect Critique or prompt analysis.
Explore
langtrace trust report →ragas trust report →Evaluation & Observability category →All comparisonsStack workflowsTrending tools
Related comparisons
Common questions
- What is the difference between langtrace and ragas?
- langtrace: Open Source Observability for LLM Applications. ragas: Supercharge Your LLM Application Evaluations. See the comparison table for live GitHub stats and shared categories.
- When should I choose langtrace over ragas?
- Choose langtrace over ragas when langtrace is primarily TypeScript; ragas is Python; License: langtrace is AGPL-3.0, ragas is Apache-2.0; Requirements: Self-hosting is available as an option if desired.; Ragas by VibrantLabsAI focuses on evaluation and observability for LLM applications, which aligns with the features offered by Langtrace; Tags unique to langtrace: evaluations, ai, datasets, observability; langtrace ships Docker support for self-hosted deployment; - When you are developing or managing applications that heavily rely on LLM APIs and want to capture, debug, and analyze traces and metrics in real-time using Open Telemetry.
- When should I choose ragas over langtrace?
- Choose ragas over langtrace when ragas is primarily Python; langtrace is TypeScript; License: ragas is Apache-2.0, langtrace is AGPL-3.0; Ragas by VibrantLabsAI focuses on evaluation and observability for LLM applications, which aligns with the features offered by Langtrace; Tags unique to ragas: llmops, evaluation; - When you need to assess the performance of your LLM applications with quantitative metrics beyond subjective evaluations.
- When should I avoid langtrace?
- - If you need proprietary features absent from the AGPL-3.0 open-source license, as Langtrace's nature may limit its use in closed or commercial projects. - For organizations with existing observability solutions deeply integrated into their infrastructure that do not benefit significantly from adding an additional layer of monitoring.
- When should I avoid ragas?
- - Avoid using Ragas if your LLM evaluation solely relies on qualitative assessments without the need for quantitative metrics. - If you prefer a toolkit that does not offer out-of-the-box integrations with commonly used LLM frameworks like LangChain. - When specific custom evaluations are needed outside of predefined templates such as Aspect Critique or prompt analysis.
- Is langtrace or ragas more popular on GitHub?
- ragas has more GitHub stars (14,717 vs 1,213). Stars measure visibility, not whether either tool fits your constraints.
- Are langtrace and ragas open source?
- Yes - both are open-source projects on GitHub (langtrace: AGPL-3.0, ragas: Apache-2.0).
- Where can I find alternatives to langtrace or ragas?
- GraphCanon lists graph-backed alternatives at /tools/scale3-labs-langtrace/alternatives and /tools/vibrantlabsai-ragas/alternatives (/tools/scale3-labs-langtrace/alternatives.md, /tools/vibrantlabsai-ragas/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/scale3-labs-langtrace-vs-vibrantlabsai-ragas.md mirrors this page for agents and LLM crawlers, with the same stats table and FAQ answers.
- Which is better maintained, langtrace or ragas?
- langtrace: Slowing. ragas: Slowing. 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 ragas?
- GraphCanon publishes per-repo trust reports with dated maintenance, provenance, and scan summaries: langtrace: /tools/scale3-labs-langtrace/trust; ragas: /tools/vibrantlabsai-ragas/trust.