Data Science

Voluptuous – Python data validation library

Voluptuous is a Python data validation library. It is primarily intended for validating data coming into Python as JSON, YAML, etc.

It has three goals: Simplicity, support for complex data structures, and provide useful error messages.

Voluptuous is free and open source software. It supports Python 3.6.

Key Features

  • Validators are simple callables: No need to subclass anything, just use a function.
  • Errors are simple exceptions: A validator can just raise Invalid(msg) and expect the user to get useful messages.
  • Schemas are basic Python data structures: Should your data be a dictionary of integer keys to strings? {int: str} does what you expect. List of integers, floats or strings? [int, float, str].
  • Designed from the ground up for validating more than just forms: Nested data structures are treated in the same way as any other type. Need a list of dictionaries? [{}]
  • Consistency: Types in the schema are checked as types. Values are compared as values. Callables are called to validate. Simple.

Website: alecthomas.github.io/voluptuous
Support: GitHub Code Repository
Developer: Alec Thomas
License: BSD 3-Clause “New” or “Revised” License

Voluptuous is written in Python. Learn Python with our recommended free books and free tutorials.


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