DeepEval vs Traceloop
Updated March 10, 2026
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Overview
Rating
10.0 / 10
Rating
10.0 / 10
Best For
—
Best For
Teams already using Datadog/Splunk wanting LLM observability
Product Summary
DeepEval is an open-source LLM evaluation framework built for unit testing AI outputs. It provides 14+ evaluation metrics including hallucination detection, answer relevancy, and contextual recall. Integrates with pytest, supports custom metrics, and works with any LLM provider for automated quality assurance in CI/CD pipelines.
Product Summary
The OpenTelemetry standard for AI. Pipes LLM telemetry into Datadog, Splunk, or any OTel backend.
Starting Price
$0Per month
Starting Price
open-source
Free Trial
Yes
Free Trial
No
Free Version
Yes
Free Version
No
Website
Website
Key features
Core capabilities each platform advertises.
Data not available
- OpenTelemetry
- OpenLLMetry
- Vendor-neutral
- OTel integration
Strengths and tradeoffs
What each tool does well, and the limitations to keep in mind.
Pros
- Open-source
- Comprehensive metrics
Cons
- Manual setup
Pros
- Acquired by ServiceNow for $60-80M providing strong financial backing and integration opportunities
- Built on OpenTelemetry standards with open-source OpenLLMetry SDK
- Recognized as Gartner Cool Vendor demonstrating industry validation
- One-line code integration for quick setup and deployment
- Enterprise-ready with SOC 2, HIPAA compliance and multiple deployment options
Cons
- ServiceNow acquisition may lead to platform changes, pricing adjustments, or strategic shifts
- Small team of 9 employees may be absorbed into larger ServiceNow organization affecting support
- Limited transparent pricing information following acquisition
- Uncertainty around long-term product roadmap under new ownership
Compare DeepEval and Traceloop on your own traffic
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