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.

Refine high-quality datasets and visual AI models

Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON

A light-weight, flexible, and expressive statistical data testing library

Easy Data Preparation with latest LLMs-based Operators and Pipelines.

Jupyter notebook and datasets from the pandas video series

General Assembly's 2015 Data Science course in Washington, DC

Machine learning with dataframes

🚚 Agile Data Preparation Workflows made easy with Pandas, Dask, cuDF, Dask-cuDF, Vaex and PySpark

simple tools for data cleaning in R

The JavaScript data transformation and analysis toolkit inspired by Pandas and LINQ.

An open-source educational chat model from ICALK, East China Normal University. 开源中英教育对话大模型。(通用基座模型，GPU部署，数据清理) 致敬: LLaMA, MOSS, BELLE, Ziya, vLLM

Production-Grade ML System for Automated Unit of Measure Error Detection | 88-92% Accuracy | 94% Autonomy | KNIME Workflow

A comprehensive guide to building a modern data warehouse with SQL Server, including ETL processes, data modeling, and analytics.

Easy to use Python library of customized functions for cleaning and analyzing data.

Schema-Inspector is a simple JavaScript object sanitization and validation module.

Continuously updated paper list on advancements in Data Agents. Companion repo to our paper "A Survey of Data Agents: Emerging Paradigm or Overstated Hype?"

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.

The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.

Professional data validation for the R environment