Test-Driven Data Analysis (TDDA)

The tdda package provides Python support for test-driven data analysis (1-page summary, blog, book).

Features

Reference Testing (tdda.referencetest): extensions to unittest and pytest for testing data analysis pipelines. Supports file-based comparisons, semantic equivalence, automatic rewriting of reference results, and test tagging.
Automatic Test Generation (tdda gentest): generates reference tests for any command-line script or program (Python, R, shell, Makefile, ...). "Gentest writes tests, so you don't have to."™
Constraints (tdda.constraints): discovers constraints from Pandas DataFrames, Parquet files, flat files, and relational databases; verifies new data against those constraints; detects failing records.
Regular Expression Inference (tdda.rexpy): automatically infers regular expressions from a column of string data.
Data Diff (tdda diff): compares data frames in Parquet or flat files and reports differences in a visual format.
Serial Format (tdda.serial): documents CSV and flat-file formats in .serial metadata files for accurate, portable reading and writing. Supports conversion to/from CSVW and Frictionless metadata.
Utility Functions (tdda.utils): Unicode normalization (Normal Form TK), glyph counting, and RFC 9839 support.

Documentation

Installation

pip install tdda

To upgrade an existing installation:

pip install -U tdda

Source installation

git clone https://github.com/tdda/tdda.git
cd tdda
pip install .

Optional database support

pip install pygresql                  # PostgreSQL
pip install mysql-connector-python   # MySQL/MariaDB
pip install pymongo                  # MongoDB

Testing

tdda test

Resources

Authors

Nick Radcliffe
Simon Brown

Metadata

Release files for tdda 3.3.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for tdda 3.3.0
File	Size	Uploaded	Provenance
tdda-3.3.0.tar.gz	19.4 MB	Jul 13, 2026	Without provenance	Details

Built distribution (wheel)

Table of built distributions (wheels) for tdda 3.3.0
File	Interpreter	ABI	Platform	Reset
tdda-3.3.0-py3-none-any.whl 20.3 MB Jul 13, 2026 Without provenance	Python 3	none	any	Details

Total release size: 39.7 MB

Release files / tdda-3.3.0.tar.gz

Download URL	tdda-3.3.0.tar.gz
Size	19.4 MB
Tags	Source
SHA-256 checksum How to use checksums	`a08d2dfb775103e0b3edc13d33e082a1cea6adb956d3da97ff10cc7cdfd340d0`
BLAKE2b-256 checksum How to use checksums	`0dae31e91559120cb5eab28006f03a1b377ec1b2f7e35ab4fde7edcc84889bf2`
Upload date	Jul 13, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.5`

Release files / tdda-3.3.0-py3-none-any.whl

Download URL	tdda-3.3.0-py3-none-any.whl
Size	20.3 MB
Tags	Python 3
SHA-256 checksum How to use checksums	`112110d9872f5d847513c2c11c0a5ffd3f31b30f6192df93410e9fc40c7a23db`
BLAKE2b-256 checksum How to use checksums	`4eb810ace602e39747c90bcc44fab6ecf294254bd4bdb20729b73c0ba9673623`
Upload date	Jul 13, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	No
Uploaded via	`twine/6.2.0 CPython/3.13.5`

Security for tdda 3.3.0

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