rumydata 1.5.0

A python package for validating expectations of text data, and safely reporting exceptions

Are You My Data?

This python package provides a set of tools to solve several of the major challenges that arise in the transmission of data. These tools attempt to solve four main problems:

1. defining exactly what your data should be
2. communicating that definition to others (so they can send you data)
3. validating the data that you receive
4. not disclosing the data on accident

These problems are solved with the following feature sets in this package:

1. an expressive, extensible set of classes to define a data set
2. technical documentation generators, based upon the definition
3. data validation methods, based upon the definition
4. sanitized error messages which state what the data should be, but not what it actually is (i.e. what was expected, not what was received)

Installation

For most users, the recommended method to install is via pip:

pip install rumydata

This package requires python version 3.7 or higher. By default there are no third-party package dependencies. However, some extras are available.

• Excel pip install rumydata[Excel]
• Parquet pip install rumydata[Parquet]

Documentation

Please see the full documentation at readthedocs

Versioning

This project follows the specifications of Semantic Versioning 2.0. Users of this package should avoid calling any private or semi-private members (i.e. starting with one or more underscores _ in the name). As long as this rule is followed, upgrading to a higher minor or patch release should always be safe.