An implementation of JSON Schema validation for Python

jsonschema_specifications-2025.9.1.tar.gz (32.9 kB view details)

Floating-point literals that don't fit in float (for example 1e10000 or extremely precise decimals) fall back to decimal.Decimal using their original JSON string representation. This means ValidationError.kind attributes may contain Decimal instances for very large numbers. Import Decimal from the standard library if you need to compare against or serialize those values exactly: from decimal import Decimal from jsonschema_rs import ValidationError, validator_for validator = validator_for('{"const": 1e10000}') try: validator.validate(0) except ValidationError as exc: assert exc.kind.expected_value == Decimal("1e10000") # Extremely large exponents (beyond ~10^1_000_000) are clamped internally to keep parsing # predictable, matching the Rust implementation's guardrails.

An implementation of the JSON Schema specification for Python - python-jsonschema/jsonschema

PyPI version Supported Python versions Build status ReadTheDocs status pre-commit.ci status Zenodo DOI jsonschema is an implementation of the JSON Schema specification for Python. It can also be us...

>>> from jsonschema_spec import SchemaPath >>> d = { ... "properties": { ... "info": { ... "$ref": "#/$defs/Info", ... }, ... }, ... "$defs": { ... "Info": { ... "properties": { ... "title": { ... "$ref": "http://example.com", ... }, ... "version": ...

Each parameter is in the format --config parameter_name=parameter_value. Example: --config expand_buttons=true.

json-to-schema -i input.json \ --schema-id https://example.com/schemas/product \ --schema-title "Product Schema" \ --schema-description "Schema for product payloads"

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PyPI version Supported Python versions Build status ReadTheDocs status pre-commit.ci status Zenodo DOI jsonschema is an implementation of the JSON Schema specification for Python. It can also be us...

Organization jsonschema · Last released Jan 16, 2025 · Sphinx support for the JSON Schema specifications · Last released Jan 7, 2026 · An implementation of JSON Schema validation for Python · Last released Sep 8, 2025 · The JSON Schema meta-schemas and vocabularies, exposed as a Registry ·

January 7, 2026 - An implementation of JSON Schema validation for Python

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export JSONSCHEMA_PATH_BENCH_REPEATS=5 export JSONSCHEMA_PATH_BENCH_WARMUP=1 export JSONSCHEMA_PATH_BENCH_RESOLVED_CACHE_MAXSIZE=64

>>> from pkgutil import get_data >>> import jsonschema_pyref.examples >>> jsonschema_pyref.examples.schema1 {'type': 'string'} >>> def show_file(filename): ... data = get_data('jsonschema_pyref.examples', filename) ... print(data.decode('ascii').strip()) ...

jsonschema is available on PyPI.

Here's the PyPI page. The public API consists of just one function: hypothesis_jsonschema.from_schema, which takes a JSON schema and returns a strategy for allowed JSON objects.

PyPI page Home page Author: None Summary: An implementation of JSON Schema validation for Python Latest version: 4.26.0 Required dependencies: attrs | jsonschema-specifications | referencing | rpds-py Optional dependencies: fqdn | idna | isoduration | jsonpointer | rfc3339-validator | ...

April 8, 2025 - jsonschema_models-1.2.3.tar.gz (11.1 kB view details)

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