Which is more popular, langwatch or UpTrain?

langwatch has more GitHub stars (4,908 vs 2,366).

Which is more actively developed, langwatch or UpTrain?

langwatch had more commits in the last 90 days (1,587 vs 0).

Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.

Side-by-side comparison of two AI agent tools

UpTrain has had no commit in 26 months; langwatch is actively maintained (1,587 commits in the last 90 days).
langwatch is growing faster: +275 GitHub stars in the last 30 days vs +4 for UpTrain.
Pick langwatch for: the platform for LLM evaluations and AI agent testing. Pick UpTrain for: open-source platform to evaluate and improve generative AI applications with 20+ preconfigured evaluations.

From GitHub data refreshed daily.

The platform for LLM evaluations and AI agent testing

UpTrainopen-source

Open-source platform to evaluate and improve generative AI applications with 20+ preconfigured evaluations

+End-to-end agent simulation capabilities that test against full stack including tools, state, and user interactions with detailed failure analysis
+Open standards approach with OpenTelemetry/OTLP support ensuring no vendor lock-in and framework-agnostic compatibility
+Integrated workflow combining tracing, evaluation, prompt optimization, and monitoring in a single platform eliminating tool sprawl

+Open-source platform with active community support and transparency
+Comprehensive evaluation framework with 20+ preconfigured checks covering multiple AI use cases
+Unified platform approach that handles both evaluation and improvement recommendations

-As a specialized platform, may require learning curve and setup time for teams new to LLM evaluation workflows
-Self-hosting option available but may require infrastructure management for teams preferring on-premises deployment

-May require technical expertise to implement and configure effectively
-Evaluation accuracy depends on the quality and relevance of preconfigured checks

•Regression testing of AI agents before production deployment using realistic scenario simulations to identify breaking points
•Production monitoring and observability of LLM-powered applications with detailed tracing and performance evaluation
•Collaborative prompt engineering and optimization with domain expert annotations and version control integration

Which is more popular, langwatch or UpTrain?: langwatch has more GitHub stars (4,908 vs 2,366).
Which is more actively developed, langwatch or UpTrain?: langwatch had more commits in the last 90 days (1,587 vs 0).
Should I use langwatch or UpTrain?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.