preferred workflow and tools, while easily tracking previous work and collaborating throughout the iterative process. Comet.ml also optimizes models with bayesian hyperparameter optimization - a type of algorithm - which saves time typically spent on manual tuning ML models. As a result, users have increased visibility of data science, ML results, and progress throughout an organization.