A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management 🚀

• Aim: An easy-to-use and performant open-source experiment tracker.
• ClearML: Automagical experiment tracking, environments and results
• Comet: Manage and optimize the entire ML lifecycle, from experiment tracking to model production monitoring.
• DVC Studio: A web application that works with the data, metrics and hyperparameters that you add to your ML project repositories.
• Guild AI: Open source experiment tracking, pipeline automation, and hyperparameter tuning.
• Keepsake: Version control for machine learning with support to Amazon S3 and Google Cloud Storage.
• mlflow: Open source platform for the machine learning lifecycle.
• Neptune: A lightweight experiment management tool that fits any workflow.
• Polyaxon: Open-source ML experiemnts management platform.
• Sacred: A tool to configure, organize, log and reproduce computational experiments.
• Tensorboard: Provides the visualization and tooling needed for machine learning experimentation.
• TraceML: Engine for ML/Data tracking, visualization, dashboards, and model UI.
• Weights and Biases: A tool for visualizing and tracking your machine learning experiments.