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great-expectations

Always know what to expect from your data.

databricks-labs-dqx

Databricks framework to validate Data Quality of pySpark DataFrames and Tables

ydata-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

evidently

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.

lakefs-sdk

lakeFS - Data version control for your data lake | Git for data

collate-data-diff

Compare tables within or across databases

lakefs

lakeFS - Data version control for your data lake | Git for data

feast

The Open Source Feature Store for AI/ML

pandas-profiling

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

great-expectations-experimental

Always know what to expect from your data.

acryl-great-expectations

Always know what to expect from your data.

openmetadata-ingestion

OpenMetadata is a unified metadata platform for data discovery, data observability, and data governance powered by a central metadata repository, in-depth column level lineage, and seamless team collaboration.

tangled-up-in-unicode

Access to the Unicode Character Database (UCD)

lakefs-client

lakeFS - Data version control for your data lake | Git for data

airflow-provider-great-expectations

Great Expectations Airflow operator

fiftyone

Refine high-quality datasets and visual AI models

fiftyone-db

Refine high-quality datasets and visual AI models

traceml

Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

datatile

Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

pandas-summary

Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

cuallee

Possibly the fastest DataFrame-agnostic quality check library in town.

cleanlab

Cleanlab's open-source library is the standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

data-diff

Compare tables within or across databases

pointblank

Data validation toolkit for assessing and monitoring data quality.