Toolkit for defining, generating, validating, and substituting data models with a data description language
The d42 package is a comprehensive toolkit for data modeling, which includes functionalities for definition, generation, validation, and substitution of data models using a robust data description language.
$ pip3 install d42
from d42 import schema, fake, validate_or_fail
# Define a schema for a string containing "banana"
sch = schema.str("banana")
# Generate a fake value based on the schema and validate it
assert validate_or_fail(sch, fake(sch))
For detailed documentation, visit the official d42 documentation.
FAQs
Toolkit for defining, generating, validating, and substituting data models with a data description language
We found that d42 demonstrated a healthy version release cadence and project activity because the last version was released less than a year ago. It has 2 open source maintainers collaborating on the project.
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