Comet.ml

Comet.ml is an end-to-end meta machine learning platform designed to help AI practitioners, data scientists, and ML teams build reliable machine learning models and manage their lifecycle efficiently. The platform offers comprehensive tools for experiment tracking, model versioning, production monitoring, and open-source large language model (LLM) evaluations. It enables users to track, compare, explain, reproduce machine learning experiments, automate prompt engineering, monitor data drift, and manage datasets and artifacts — all integrated to support diverse ML frameworks such as PyTorch, TensorFlow, Hugging Face, and Scikit-learn. Trusted by leading enterprises, Comet.ml streamlines AI development for real-world applications with scalability and collaboration in mind.

platform:web platform:linux platform:windows platform:macos platform:python form:web-app form:api form:library form:saas pricing:freemium integration:pytorch integration:pytorch-lightning integration:huggingface integration:tensorflow integration:scikit-learn integration:xgboost feature:experiment-tracking feature:model-versioning feature:model-monitoring feature:llm-evaluation feature:data-drift-detection feature:real-time feature:collaboration feature:open-source feature:automated-ml target:developers target:data-scientists target:ml-engineers target:teams target:enterprises use-case:ml-experiment-tracking use-case:model-monitoring use-case:ml-lifecycle-management use-case:llm-evaluation