Category: Scientific

marshmallow is an ORM/ODM/framework-agnostic library for converting complex datatypes, such as objects, to and from native Python datatypes.

Great Expectations (GX) helps data teams build a shared understanding of their data through quality testing, documentation, and profiling.

pandera is a project that provides a flexible and expressive API for performing data validation on dataframe-like objects.

Pydantic is a data validation library for Python. Define how data should be in pure, canonical Python 3.7+; validate it with Pydantic.

Cerberus provides powerful yet simple and lightweight data validation functionality out of the box.

valideer is a lightweight data validation and adaptation library for Python.

Colander is a serialization / deserialization / validation library for strings, mappings and lists.

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

Schematics is a Python library to combine types into structures, validate, and transform the shapes of your data based on simple descriptions.

schema is a library for validating Python data structures, such as those obtained from config-files, forms, external services.