larzvalidate
Validate input data against a schema — the guard every real app needs.
Data from forms, APIs and files is untrustworthy: fields go missing, numbers arrive as text, strings are too long. larzvalidate lets you declare what valid data looks like — a small schema of fields with rules — and checks input against it, returning clean, type-coerced data or clear per-field error messages. Zero dependencies.
Install
pip install larzvalidate
Use
from larzvalidate import validate, Field, ValidationError, EMAIL
schema = {
"name": Field(str, required=True, min=1, max=50),
"age": Field(int, min=0, max=150),
"email": Field(str, required=True, pattern=EMAIL),
"role": Field(str, choices=["user", "admin"], default="user"),
}
clean = validate({"name": "Ada", "age": "36", "email": "a@b.co"}, schema)
# {'name': 'Ada', 'age': 36, 'email': 'a@b.co', 'role': 'user'}
Learn to code with Larz
Part of the learn-to-code toolkit in the Larz stack — see the Learn to Code platform. The gatekeeper for real forms and APIs.
Tests
python -m unittest discover -s tests -v # 7 tests
License
MIT (c) larz-scripter
1 maintainer
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