garak vs langwatch
Side-by-side comparison of two AI agent tools
Short answer
- Pick garak for: the LLM vulnerability scanner. Pick langwatch for: the platform for LLM evaluations and AI agent testing.
From GitHub data refreshed daily.
g
garakopen-source
the LLM vulnerability scanner
langwatchfree
The platform for LLM evaluations and AI agent testing
Metrics
| garak | langwatch | |
|---|---|---|
| Stars | 9.4k | 4.9k |
| Star velocity /mo | 200 | 275.2105263157895 |
| Commits (90d) | 227 | 1.6k |
| Releases (6m) | 4 | 10 |
| Downloads (30d, npm + PyPI) | 36.2K | 1.9K |
| Overall score | 0.6619474909300054 | 0.8083039136612088 |
Pros
- +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
Cons
- -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
Use Cases
- •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
FAQ
- Which is more popular, garak or langwatch?
- garak has more GitHub stars (9,414 vs 4,908).
- Which is more actively developed, garak or langwatch?
- langwatch had more commits in the last 90 days (1,587 vs 227).
- Should I use garak or langwatch?
- Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.