DeepEval vs garak
Side-by-side comparison of two AI agent tools
Short answer
- DeepEval is growing faster: +676 GitHub stars in the last 30 days vs +200 for garak.
- Pick DeepEval for: the LLM Evaluation Framework. Pick garak for: the LLM vulnerability scanner.
From GitHub data refreshed daily.
Metrics
| DeepEval | garak | |
|---|---|---|
| Stars | 18.6k | 9.4k |
| Star velocity /mo | 675.7894736842105 | 200 |
| Commits (90d) | 553 | 227 |
| Releases (6m) | 10 | 4 |
| Downloads (30d, npm + PyPI) | 2.5M | 36.2K |
| Overall score | 0.8238556798691397 | 0.6619474909300054 |
Pros
- +Research-backed evaluation metrics including G-Eval, hallucination detection, and answer relevancy that leverage latest academic advances
- +Pytest-like interface provides familiar testing paradigm for developers already comfortable with Python testing frameworks
- +LLM-as-a-judge approach enables nuanced, contextual evaluation that captures semantic meaning rather than just exact matches
Cons
- -LLM-as-a-judge evaluation may introduce variability and potential bias depending on the judge model used
- -Evaluation costs can accumulate quickly when using external LLM APIs for assessment across large test suites
- -As a specialized framework, it requires understanding of LLM-specific evaluation concepts beyond traditional software testing
Use Cases
- •Unit testing LLM applications to ensure consistent performance across different inputs and edge cases
- •Evaluating chatbots and conversational AI systems for answer relevancy and factual accuracy
- •Detecting and measuring hallucination rates in content generation applications before production deployment
FAQ
- Which is more popular, DeepEval or garak?
- DeepEval has more GitHub stars (18,592 vs 9,414).
- Which is more actively developed, DeepEval or garak?
- DeepEval had more commits in the last 90 days (553 vs 227).
- Should I use DeepEval or garak?
- Compare their capabilities, limitations and "best for" notes above. Both are open source, so trying each on a small task is the fastest way to decide.