Shypd.aiThe largest open index of AI toolswhylogs is an open-source data logging library for machine learning models and data pipelines, providing visibility into data quality and model performance. It supports privacy-preserving data collection and enables data drift detection and quality validation.
About
whylogs is an open-source data logging library designed to provide visibility into data quality and machine learning model performance over time. It allows users to generate summaries of datasets, called whylogs profiles, which capture key statistical properties like distributions, missing values, and custom metrics. These profiles are efficient, customizable, and mergeable, enabling logging for distributed and streaming systems. whylogs facilitates the detection of data drift, training-serving skew, and model performance degradation. It also supports data quality validation in model inputs or data pipelines, exploratory data analysis of massive datasets, and data auditing and governance across organizations. The library integrates with various data and ML pipeline tools and offers a profile visualizer for interactive reports.
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Pricing & Plans
Open Source
Free
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