whylogs

whylogs is an open-source data logging library that creates approximate statistical profiles of datasets, enabling drift detection, data quality monitoring, and bias analysis for ML pipelines. Supports tabular, text, image, and embedding data and produces privacy-preserving profiles that can be shared and compared without exposing raw data.

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API entry from apis.yml

apis.yml Raw ↑
aid: whylabs:whylogs
name: whylogs
tags:
- Open-Source
- Data Logging
- Profiling
- Monitoring
tags_raw:
- Open Source
- Data Logging
- Profiling
- Monitoring
humanURL: https://whylogs.readthedocs.io/
properties:
- url: https://whylogs.readthedocs.io/
  type: Documentation
- url: https://github.com/whylabs/whylogs
  type: SourceCode
- url: https://pypi.org/project/whylogs/
  type: SDKs
description: whylogs is an open-source data logging library that creates approximate statistical profiles
  of datasets, enabling drift detection, data quality monitoring, and bias analysis for ML pipelines.
  Supports tabular, text, image, and embedding data and produces privacy-preserving profiles that can
  be shared and compared without exposing raw data.