Comet

Founded 2017

Track, evaluate, and monitor machine learning models and agents

Pricing model

Free Tier, Paid

You can use Comet to track machine learning experiments and monitor production AI applications. It logs model parameters, training metrics, and code revisions so your team can compare runs and reproduce results across popular frameworks. Through Opik, Comet provides tracing for large language model applications and autonomous agents, capturing context retrieval, tool calls, and prompt responses. You can run automated test suites, evaluate outputs against custom benchmarks, diagnose silent errors across thousands of execution traces, and monitor token usage and operational costs over time.

What Comet does

Log machine learning hyperparameters and training metricsTrace multi-step LLM chains and tool callsCompare experiment performance across multiple training runsGroup and diagnose root causes of silent agent errorsEvaluate prompt variations with golden datasetsMonitor production model latency, errors, and token spendStore and version datasets and model artifactsEnd-to-end tracing for multi-step autonomous agents and tool callsAutomated diagnostics that surface recurring silent errors across tracesLLM evaluation suites using pass-fail criteria and judge metricsBuilt-in cost tracking for coding assistants and LLM token usageExperiment management with real-time metric logging and comparisonsModel registry, versioning, and dataset managementProduction alert dashboards to catch regressions before users doOpen-source deployment options alongside cloud hosting