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1 change: 1 addition & 0 deletions README.md
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A curated list of awesome open source tools and commercial products for ML Experiment Tracking and Management 🚀

* [Aim](https://github.com/aimhubio/aim): An easy-to-use and performant open-source experiment tracker.
* [Cascade](https://github.com/oxid15/cascade): Lightweight and modular MLOps library targeted at small teams and individuals.
* [ClearML](https://github.com/allegroai/clearml): Automagical experiment tracking, environments and results
* [Comet](https://www.comet.ml/): Manage and optimize the entire ML lifecycle, from experiment tracking to model production monitoring.
* [DVC Studio](https://studio.iterative.ai/): A web application that works with the data, metrics and hyperparameters that you add to your ML project repositories.
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