jschon is a pythonic and extensible implementation of the JSON Schema specification.
- JSON Schema validator implementation (drafts 2019-09, 2020-12)
- Schema compilation and indexing
- $ref loading from local and remote sources
- Support for custom keywords, vocabularies and meta-schemas
- Support for format validation
- JSON class implementing the JSON data model
- JSON Pointer (RFC 6901)
- JSON Patch (RFC 6902)
- Relative JSON Pointer (draft)
pip install jschon
For remote $ref support, the requests library is required. It may be installed with:
pip install jschon[requests]
Create a JSON schema:
from jschon import create_catalog, JSON, JSONSchema
create_catalog('2020-12')
demo_schema = JSONSchema({
"$id": "https://example.com/demo",
"$schema": "https://json-schema.org/draft/2020-12/schema",
"type": "array",
"items": {
"anyOf": [
{
"type": "string",
"description": "Cool! We got a string here!"
},
{
"type": "integer",
"description": "Hey! We got an integer here!"
}
]
}
})
Validate JSON data:
result = demo_schema.evaluate(
JSON([12, "Monkeys"])
)
Generate JSON Schema-conformant output:
>>> result.output('basic')
{
"valid": True,
"annotations": [
{
"instanceLocation": "",
"keywordLocation": "/items",
"absoluteKeywordLocation": "https://example.com/demo#/items",
"annotation": True
},
{
"instanceLocation": "/0",
"keywordLocation": "/items/anyOf/1/description",
"absoluteKeywordLocation": "https://example.com/demo#/items/anyOf/1/description",
"annotation": "Hey! We got an integer here!"
},
{
"instanceLocation": "/1",
"keywordLocation": "/items/anyOf/0/description",
"absoluteKeywordLocation": "https://example.com/demo#/items/anyOf/0/description",
"annotation": "Cool! We got a string here!"
}
]
}
- Documentation: https://jschon.readthedocs.io
- GitHub repository: https://github.com/marksparkza/jschon
- PyPI package: https://pypi.org/project/jschon
- Online validator: https://jschon.dev