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1 change: 1 addition & 0 deletions README.md
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Expand Up @@ -12,6 +12,7 @@ A curated list of awesome open source tools and commercial products for monitori
* [Great Expectations](https://github.com/great-expectations/great_expectations): Helps data teams eliminate pipeline debt, through data testing, documentation, and profiling.
* [Manifold](https://github.com/uber/manifold): A model-agnostic visual debugging tool for machine learning.
* [Netron](https://github.com/lutzroeder/netron): Visualizer for neural network, deep learning, and machine learning models.
* [NannyML](https://www.nannyml.com/): A Python libary and cloud platform for monitoring model performance in production(even without labels), detecting data drift and data quality issues.
* [Pandas Profiling](https://github.com/pandas-profiling/pandas-profiling): Extends the pandas DataFrame with df.profile_report() for quick data analysis.
* [Pandera](https://github.com/pandera-dev/pandera): A light-weight, flexible, and expressive data validation library for dataframes.
* [Superwise](https://www.superwise.ai): Fully automated, enterprise-grade model observability in a self-service SaaS platform.
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