Which is more popular, Auto-evaluator or Ragas?

Ragas has more GitHub stars (15,913 vs 1,104).

Which is more actively developed, Auto-evaluator or Ragas?

Auto-evaluator had more commits in the last 90 days (0 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

Ragas is growing faster: +440 GitHub stars in the last 30 days vs +51 for Auto-evaluator.
Pick Auto-evaluator for: evaluation tool for LLM QA chains. Pick Ragas for: supercharge Your LLM Application Evaluations.

From GitHub data refreshed daily.

Evaluation tool for LLM QA chains

Ragasopen-source

Supercharge Your LLM Application Evaluations 🚀

+Fully automated evaluation pipeline that generates question-answer pairs from documents without manual dataset creation
+Comprehensive configuration testing across multiple parameters including chunk sizes, retrieval methods, and embedding approaches
+User-friendly Streamlit interface with hosted versions available on HuggingFace and langchain.com for easy access

-Requires paid API access to both OpenAI (GPT-4) and Anthropic services for full functionality
-Limited to GPT-3.5-turbo for both question generation and response scoring, which may introduce model-specific biases
-Evaluation quality depends on the automatic question generation, which may not capture all important aspects of document content

•Optimizing RAG system parameters by testing different chunk sizes, overlap settings, and retrieval strategies on domain-specific documents
•Benchmarking multiple embedding methods and language models to find the best combination for specific document types and query patterns
•Conducting systematic performance comparisons when migrating between different QA architectures or upgrading model versions

Which is more popular, Auto-evaluator or Ragas?: Ragas has more GitHub stars (15,913 vs 1,104).
Which is more actively developed, Auto-evaluator or Ragas?: Auto-evaluator had more commits in the last 90 days (0 vs 0).
Should I use Auto-evaluator or Ragas?: Compare their capabilities, limitations and "best for" notes above. Trying each on a small task is the fastest way to decide.