Best Free Analytics & Monitoring Tools

AI-powered monitoring that helps you find and fix system problems — ask questions about your infrastructure in plain English and get automatic root cause analysis.

Monitor your AI's quality and costs in production — catch issues, track spending, and understand how users interact with your AI.

Sentry AI Monitoring makes the most sense when you look at it as an extension of a familiar developer stack, not as a standalone LLM lab. It helps teams trace AI agents, model calls, token usage, costs, errors, and latency inside the same Sentry workflows used for application monitoring.

An open-source tool that helps you see inside your AI's thinking — debug and improve AI performance with visual tracing.

Open-source monitoring for AI apps — see exactly what your AI is doing with detailed tracing and performance metrics.

An AI product research tool that helps you understand why users behave the way they do — it combines surveys, session recordings, and AI analysis so product teams can make better decisions faster.

Open-source tool for understanding and debugging your AI — trace LLM calls, evaluate output quality, detect hallucinations, and optimize prompts with production data.

HoneyHive helps AI teams trace, evaluate, debug, and monitor production LLM applications with observability, datasets, and prompt workflows.

Open-source monitoring for AI agents. Trace every step, debug failures by restarting from any point, record browser sessions, and catch problems with natural language pattern matching.