Libraries and methods¶

For data cleaning and validation in Python, we use not only well-known libraries such as NumPy and pandas, but also several small, specialised libraries such as dedupe, TheFuzz, voluptuous, tdda and hypothesis. We prefer these lighter-weight solutions to large, general-purpose systems such as Great Expectations or MobyDQ.