Tools and Resources

The TDDA Library and Command-Line Tools

We also maintain an open-source Python library that includes powerful command-line tools. You can get this with

python -m pip install tdda

and read the documentation here. More detailed and alternative installation instructions are available here.

The tdda library and tools have six major components:

• Command-line tools and Python API for generating constraints from data, and for validating data using those constraints. This works with parquet files, flat files (CSVs), and relational databases.
• A command-line tool and Python API for generating regular expressions from examples.
• A command-line tool for generating reference tests for code in any language.
• A Python reference-testing API to augment Python’s unittest and pytest libraries with reference-testing capabilities (semantic regression tests).
• Command-line tools for parquet files and flat files, including tdda diff, for comparing tabular data semantically.
• Command-line tools and a serial metadata format (tdda.serial) for working more safely with flat files with Pandas and Polars.

The TDDA Book

The book Test-Driven Data Analysis, by Nicholas J. Radcliffe, is available from all good booksellers and all sellers of good books and is being serialized online. In addition to the book’s contents, you can find online the 22 TDDA checklists, all the examples from the book, the glossary, example data profiles and tests for almost all the books examples.

The TDDA Blog

The TDDA blog has been running for about decade, and continues to be updated with new developments.