Keywords AI
Confident AI vs Traceloop
Compare Confident AI and Traceloop 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 already using Datadog/Splunk wanting LLM observability |
| Website | confident-ai.com | traceloop.com |
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When to Choose Confident AI vs Traceloop
- 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 Traceloop
The OpenTelemetry standard for AI. Pipes LLM telemetry into Datadog, Splunk, or any OTel backend.
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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