Opik vs Traceloop
Side-by-side comparison of Opik and Traceloop: pricing, features, API access, and community ratings.
TL;DR: Both offer open-source LLM observability with freemium pricing, but Opik emphasizes comprehensive evaluation with 30+ pre-built metrics and an AI coding assistant for automated fixes, while Traceloop focuses on minimal-friction implementation through one-line instrumentation and OpenTelemetry standards. Traceloop differentiates with enterprise compliance certifications (SOC 2, HIPAA) and custom evaluator training, whereas Opik positions itself more specifically for complex agentic workflows with deeper trace visualization. Choose Traceloop for faster deployment and compliance needs, Opik for evaluation-heavy and agent-centric use cases.
Traceloop LLM reliability platform that turns evals and monitors into a continuous feedback loop | ||
|---|---|---|
| Category | AI observability | AI observability |
| Pricing | Freemium | Freemium |
| Starting price | ||
| Free tier | ||
| Audience | Technical | Technical |
| API available | ||
| Open source | ||
| Self-hostable | ||
| Model provider | Agnostic (OpenAI, Anthropic, Gemini, Bedrock, Ollama, and 20+ others) | |
| Founded | ||
| Headquarters | United States | |
| Key strengths |
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