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Opik vs PromptLayer

Side-by-side comparison of Opik and PromptLayer: pricing, features, API access, and community ratings.

AI comparison summary

TL;DR: Opik is open-source and focuses on deep technical observability with advanced agent tracing and 30+ automated evaluation metrics, plus an AI coding assistant for fix suggestions. PromptLayer emphasizes cross-functional collaboration with its prompt CMS that lets non-technical team members manage and version prompts without touching code. Choose Opik if you need self-hosting and technical depth for agentic systems, or PromptLayer if you want to empower domain experts to iterate on prompts independently.

Opik
Opik

Open-source AI observability & evaluation platform for the agentic era

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PromptLayer
PromptLayer

The collaboration layer for AI engineering teams — prompt CMS, eval harness, and observability stack

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Category
AI observability
AI observability
Pricing
Freemium
Freemium
Starting price
Free tier
Audience
Technical
All audiences
API available
Open source
Self-hostable
Model provider
Founded
2022
Headquarters
United States
San Francisco, USA
Key strengths
  • ·End-to-end agent trace logging and visualization
  • ·30+ LLM-as-a-Judge evaluation metrics
  • ·Automated code fix suggestions via Ollie coding assistant
  • ·True open-source with self-hosting support
  • ·Prompt version control and CMS for managing prompt templates
  • ·Evaluation harness for testing and comparing LLM outputs
  • ·Full observability stack for tracking LLM requests and performance
  • ·Enables non-engineers (domain experts) to iterate on prompts without code changes
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