Keywords AI
Confident AI vs Langfuse
Compare Confident AI and Langfuse side by side. Both are tools in the Observability, Prompts & Evals category.
Quick Comparison
| Category | Observability, Prompts & Evals | Observability, Prompts & Evals |
| Pricing | Open Source | Open Source |
| Best For | Developers who want to add automated LLM evaluation testing to their CI/CD pipeline | Teams who want open-source LLM observability they can self-host and customize |
| Website | confident-ai.com | langfuse.com |
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When to Choose Confident AI vs Langfuse
- Unit testing LLM applications
- Automated evaluation in CI/CD pipelines
- Benchmarking across model versions
- Self-hosted LLM monitoring
- Open-source tracing for AI applications
- Prompt versioning and management
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 Langfuse
Langfuse is an open-source LLM observability platform that provides tracing, analytics, prompt management, and evaluation for AI applications. It captures detailed traces of LLM calls, supports custom scoring, and integrates with LangChain, LlamaIndex, Vercel AI SDK, and raw API calls. Langfuse can be self-hosted for data privacy or used as a managed cloud service. Its open-source model and generous free tier make it popular with startups and developers.
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.
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