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data-quality

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dqo

Data Quality and Observability platform for the whole data lifecycle, from profiling new data sources to full automation with Data Observability. Configure data quality checks from the UI or in YAML files, let DQOps run the data quality checks daily to detect data quality issues.

  • Updated May 18, 2024
  • Java
dataops-testgen

DataOps TestGen is part of DataKitchen's Open Source Data Observability. DataOps TestGen delivers simple, fast data quality test generation and execution by data profiling,  new dataset screening and hygiene review, algorithmic generation of data quality validation tests, ongoing testing of new data refreshes, & continuous data anomaly monitoring

  • Updated May 17, 2024
  • Python

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

  • Updated May 17, 2024
  • Jupyter Notebook

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