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
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Utility to compare data between homogeneous or heterogeneous environments to ensure source and target tables match
Desbordante is a high-performance data profiler that is capable of discovering many different patterns in data using various algorithms. It also allows to run data cleaning scenarios using these algorithms. Desbordante has a console version and an easy-to-use web application.
- data-analytics
- data-cleaning
- data-cleansing
- data-engineering
Data validation toolkit for assessing and monitoring data quality.
- data-validation
- tabular-data
- data-testing
- data-quality
Validates tabular CSV data using predefined validations, inspired from its Python homologue "Great Expectations".
- common-lisp
- csv
- data-validation
- great-expectations
Open, audit-grade agentic data quality framework with portable industry packs