An open-source data logging library for machine learning models and data pipelines. ๐ Provides visibility into data quality & model performance over time. ๐ก๏ธ Supports privacy-preserving data collection, ensuring safety & robustness. ๐
- data-constraints
- model-performance
- machine-learning
- dataset
- dataops
- mlops
- ml-pipelines
- ai-pipelines
- statistical-properties
- logging
- constraints
- python
- approximate-statistics
- calculate-statistics
- analytics
- data-pipeline
- data-quality
- data-science
Scala versions:
2.12
Latest version
[](https://index.scala-lang.org/whylabs/whylogs/whylogs-spark-bundle_3.4.2-scala)
JVM badge
[](https://index.scala-lang.org/whylabs/whylogs/whylogs-spark-bundle_3.4.2-scala)