Keywords AI
Confident AI vs HoneyHive
Compare Confident AI and HoneyHive side by side. Both are tools in the Observability, Prompts & Evals category.
Quick Comparison
| Category | Observability, Prompts & Evals | Observability, Prompts & Evals |
| Pricing | Open Source | paid |
| Best For | Developers who want to add automated LLM evaluation testing to their CI/CD pipeline | Enterprise teams managing prompts and running evals |
| Website | confident-ai.com | honeyhive.ai |
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When to Choose Confident AI vs HoneyHive
- Unit testing LLM applications
- Automated evaluation in CI/CD pipelines
- Benchmarking across model versions
About Confident AI
Confident AI develops DeepEval, the most popular open-source LLM evaluation framework. DeepEval provides 14+ evaluation metrics including faithfulness, answer relevancy, contextual recall, and hallucination detection. The Confident AI platform adds collaboration features, regression testing, and continuous evaluation in CI/CD pipelines.
About HoneyHive
Prompt management + regression evals in one platform. SOC 2 compliant with annotation queues.
What is Observability, Prompts & Evals?
Tools for monitoring LLM applications in production, managing and versioning prompts, and evaluating model outputs. Includes tracing, logging, cost tracking, prompt engineering platforms, automated evaluation frameworks, and human annotation workflows.
Browse all Observability, Prompts & Evals tools →