Comet review and pricing

Comet is a mature neutral MLOps platform, founded 2017 and headquartered in New York. The product covers experiment tracking, model registry, model production monitoring (Opik for LLM observability), and a workspace for ML team collaboration. Comet has positioned itself as the quieter competitor to Weights and Biases: smaller installed base, narrower marketing footprint, but a credible product with real customers across financial services, autonomous vehicles, and healthcare. Strengths: defensible for teams that want a neutral experiment tracker without CoreWeave acquisition exposure (Comet remains independent), real integration breadth across PyTorch, TensorFlow, Hugging Face, and major data platforms, transparent SaaS pricing with a usable free tier, and a recently expanded LLMOps surface (Opik) for teams wanting LLM evaluation alongside classical ML tracking. Trade-offs: smaller installed base than W and B (smaller community, fewer integration partners), feature depth on the model registry lags W and B, the LLMOps surface (Opik) is newer and less battle-tested than W and B Models or commercial alternatives, and Comet does not have the same brand recognition at large research labs.