Repository Index

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

• pandas-profiling
• pandas-dataframe
• statistics
• jupyter-notebook

Always know what to expect from your data.

• pipeline-tests
• dataquality
• datacleaning
• datacleaner

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.

• weak-supervision
• data-cleaning
• data-quality
• noisy-labels

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

Open-source low code data preparation library in python. Collect, clean and visualization your data in python with a few lines of code.

• dataprep
• data-science
• datapreparation
• dataconnector

Pandas, Polars, Spark, and Snowpark DataFrame comparison for humans and more!

• python
• pandas
• spark
• data

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

The repository host gives no description.

• hacktoberfest
• data
• datalineage
• dbt