DeepEval vs Humanloop: Observability, Prompts & Evals Comparison
Compare DeepEval and Humanloop 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 Humanloop if collaborative platform for team development.
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Quick Comparison
| Category | Observability, Prompts & Evals | Observability, Prompts & Evals |
| Website | deepeval.com | humanloop.com |
Pros & Cons: DeepEval vs Humanloop
- +Open-source
- +Comprehensive metrics
- −Manual setup
- +Collaborative platform for team development
- +Version control for prompts
- +A/B testing and evaluation tools
- +Free tier for individuals
- −Pro tier at USD 99/mo may be steep for small teams
- −Learning curve for full feature utilization
- −Requires commitment to platform workflow
Pricing: DeepEval vs Humanloop
- · Core features
- · Advanced features
- · Custom
- · Limited projects
- · Basic features
- · Community support
- · Individual use
- · Unlimited projects
- · Team collaboration
- · Advanced evaluation
- · Priority support
- · Custom limits
- · Dedicated support
- · SOC 2 compliance
- · Private deployment
About DeepEval
DeepEval is open-source framework for evaluating LLM outputs with metrics and test cases.
About Humanloop
Humanloop is a collaborative platform for developing, testing, and monitoring LLM applications. The platform provides tools for prompt engineering, evaluation, and production monitoring with team collaboration features. Humanloop enables systematic prompt development with version control, A/B testing, and human feedback collection. The platform serves teams building production LLM applications requiring robust development workflows and observability. Humanloop offers tiered pricing from free for individuals to enterprise plans for large organizations.
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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