From b93edcc0baec9117cfe87f907910af3c7d6677e9 Mon Sep 17 00:00:00 2001 From: Maciej Balawejder Date: Thu, 14 Dec 2023 08:19:28 +0000 Subject: [PATCH] Add NannyML --- README.md | 1 + 1 file changed, 1 insertion(+) diff --git a/README.md b/README.md index 122a3f2..68467d6 100644 --- a/README.md +++ b/README.md @@ -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.