data-cleaning

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

The standard data-centric AI package for data quality and machine learning with messy, real-world data and labels.

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

Jupyter notebook and datasets from the pandas Q&A video series

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

🚚 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.

Machine learning on dirty tabular data

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

Powerful product analytics for data teams, with full control over data & models.

Professional data validation for the R environment

Deal with bad samples in your dataset dynamically, use Transforms as Filters, and more!

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

🗣️ A book and repo to get you started programming voice computing applications in Python (10 chapters and 200+ scripts).

Data Science Feature Engineering and Selection Tutorials

A domain-specific probabilistic programming language for scalable Bayesian data cleaning

Exploratory data analysis 📊using python 🐍of used car 🚘 database taken from ⓚ𝖆𝖌𝖌𝖑𝖊

An R package for data screening

The open source active learning toolkit to find failure modes in your computer vision models, prioritize data to label next, and drive data curation to improve model performance.