Repository Index

Always know what to expect from your data.

• pipeline-tests
• dataquality
• datacleaning
• datacleaner

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

• data-drift
• jupyter-notebook
• pandas-dataframe
• machine-learning

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and models from research to production.

• machine-learning
• ml
• model-validation
• data-validation

Build data pipelines with SQL and Python, ingest data from different sources, add quality checks, and build end-to-end flows.

• analytics
• bigquery
• data-modeling
• data-pipelines

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.

• data-ops
• data-quality
• data-quality-checks
• data-quality-measurement

Validates tabular CSV data using predefined validations, inspired from its Python homologue "Great Expectations".

• common-lisp
• csv
• data-validation
• great-expectations