Which is more popular, Dify or langwatch?

Dify has more GitHub stars (157,730 vs 4,900).

Which is more actively developed, Dify or langwatch?

Dify had more commits in the last 90 days (2,338 vs 1,580).

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

Dify is growing faster: +3,652 GitHub stars in the last 30 days vs +275 for langwatch.
Pick Dify for: production-ready platform for agentic workflow development. Pick langwatch for: the platform for LLM evaluations and AI agent testing.

From GitHub data refreshed daily.

Production-ready platform for agentic workflow development.

The platform for LLM evaluations and AI agent testing

+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

-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

•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, Dify or langwatch?: Dify has more GitHub stars (157,730 vs 4,900).
Which is more actively developed, Dify or langwatch?: Dify had more commits in the last 90 days (2,338 vs 1,580).
Should I use Dify or langwatch?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.