A high-performance JSON Schema validator for Python
Project description
jsonschema-rs
A high-performance JSON Schema validator for Python.
import jsonschema_rs
validator = jsonschema_rs.JSONSchema({"minimum": 42})
# Boolean result
validator.is_valid(45)
# Raise a ValidationError
validator.validate(41)
# ValidationError: 41 is less than the minimum of 42
#
# Failed validating "minimum" in schema
#
# On instance:
# 41
# Iterate over all validation errors
for error in validator.iter_errors(40):
print(f"Error: {error}")
Highlights
- 📚 Support for popular JSON Schema drafts
- 🌐 Remote reference fetching (network/file)
- 🔧 Custom format validators
Supported drafts
Compliance levels vary across drafts, with newer versions having some unimplemented keywords.
You can check the current status on the Bowtie Report.
Limitations
- No support for arbitrary precision numbers
Installation
To install jsonschema-rs via pip run the following command:
pip install jsonschema-rs
Usage
If you have a schema as a JSON string, then you could use
jsonschema_rs.JSONSchema.from_str to avoid parsing on the
Python side:
validator = jsonschema_rs.JSONSchema.from_str('{"minimum": 42}')
...
You can specify a custom JSON Schema draft using the draft argument:
import jsonschema_rs
validator = jsonschema_rs.JSONSchema(
{"minimum": 42},
draft=jsonschema_rs.Draft7
)
JSON Schema allows for format validation through the format keyword. While jsonschema-rs
provides built-in validators for standard formats, you can also define custom format validators
for domain-specific string formats.
To implement a custom format validator:
- Define a function that takes a
strand returns abool. - Pass it with the
formatsargument.
import jsonschema_rs
def is_currency(value):
# The input value is always a string
return len(value) == 3 and value.isascii()
validator = jsonschema_rs.JSONSchema(
{"type": "string", "format": "currency"},
formats={"currency": is_currency}
)
validator.is_valid("USD") # True
validator.is_valid("invalid") # False
Performance
jsonschema-rs is designed for high performance, outperforming other Python JSON Schema validators in most scenarios:
- Up to 30-390x faster than
jsonschemafor complex schemas and large instances - Generally 2-5x faster than
fastjsonschemaon CPython - Comparable or slightly slower performance for very small schemas
For detailed benchmarks, see our full performance comparison.
Python support
jsonschema-rs supports CPython 3.8, 3.9, 3.10, 3.11, and 3.12.
Support
If you have questions, need help, or want to suggest improvements, please use GitHub Discussions.
Sponsorship
If you find jsonschema-rs useful, please consider sponsoring its development.
Contributing
We welcome contributions! Here's how you can help:
- Share your use cases
- Implement missing keywords
- Fix failing test cases from the JSON Schema test suite
See CONTRIBUTING.md for more details.
License
Licensed under MIT License.
Project details
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