Experiment management platform built for data scientists  

Helping data scientists and teams track, compare, explain and reproduce their machine learning experiments. Improve productivity, visibility, and collaboration. 

  • 30% improvement in experiment training time 

  • 1.5MM models trained with Comet.ml
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Track and visualize datasets, parameters, code changes, experimentation history and production models.

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Powering data scientists at these great companies

Why data scientists and teams are using Comet.ml?

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Analyze and compare the results of different models and drive research decisions by understanding what works. 

Visibility & Collaboration  

Share and discuss experiments with your colleagues. Publish leaderboard to business stakeholders. 


Reproduce models without changing your workflow. Works with scripts, pipelines and Jupyter notebooks.  

"Comet provides a central place for my team to track their ML experiments, debug and stop underperforming models. Comet has improved our efficiency as data scientists and as a team," Carol Anderson, Senior Data Scientist, Ancestry