DeepEval vs Helicone: Observability, Prompts & Evals Comparison
Compare DeepEval and Helicone side by side. Both are tools in the Observability, Prompts & Evals category.
Updated March 10, 2026
The short answer
Choose DeepEval if open-source.
Choose Helicone if open-source with 5.2K GitHub stars and strong community support.
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Quick Comparison
| Category | Observability, Prompts & Evals | Observability, Prompts & Evals |
| Website | deepeval.com | helicone.ai |
Pros & Cons: DeepEval vs Helicone
- +Open-source
- +Comprehensive metrics
- −Manual setup
- +Open-source with 5.2K GitHub stars and strong community support
- +Minimal latency overhead (under 1ms for self-hosted)
- +Flexible deployment options including cloud-hosted, self-hosted, or SDK-only
- +Y Combinator-backed with SOC 2 Type II and HIPAA compliance
- +No code changes required for AI Gateway features like caching and rate limiting
- −Adds computational cost and one network hop for cloud deployment
- −Limited pricing transparency on website
- −May require infrastructure expertise for self-hosted setup
Pricing: DeepEval vs Helicone
- · Core features
- · Advanced features
- · Custom
About DeepEval
DeepEval is open-source framework for evaluating LLM outputs with metrics and test cases.
About Helicone
Helicone is an open-source AI Gateway and LLM Observability platform that enables developers to route, debug, and analyze their AI applications with end-to-end visibility from user sessions to individual token decisions. As a Y Combinator-backed company, Helicone combines observability with infrastructure management, offering token-level cost analysis, prompt version tracking, and session tracing alongside intelligent routing features like caching, rate limiting, and load balancing. The platform provides real-time dashboards, user metrics tracking, alert systems, and multi-step LLM interaction visualization for root cause analysis. Helicone is SOC 2 Type II certified, HIPAA compliant, and offers flexible deployment options including cloud-hosted gateway leveraging Cloudflare's global network, self-hosted via Kubernetes Helm charts, or SDK-only observability without proxying.
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 & Evalstools →Other Observability, Prompts & Evals Tools
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