# jsonschema-rs
[](https://github.com/Stranger6667/jsonschema/actions)
[](https://pypi.org/project/jsonschema-rs/)
[](https://pypi.org/project/jsonschema-rs/)
[](https://opensource.org/licenses/MIT)
[<img alt="Supported Dialects" src="https://img.shields.io/endpoint?url=https%3A%2F%2Fbowtie.report%2Fbadges%2Frust-jsonschema%2Fsupported_versions.json&style=flat-square">](https://bowtie.report/#/implementations/rust-jsonschema)
A high-performance JSON Schema validator for Python.
```python
import jsonschema_rs
schema = {"maxLength": 5}
instance = "foo"
# One-off validation
try:
jsonschema_rs.validate(schema, "incorrect")
except jsonschema_rs.ValidationError as exc:
assert str(exc) == '''"incorrect" is longer than 5 characters
Failed validating "maxLength" in schema
On instance:
"incorrect"'''
# Build & reuse (faster)
validator = jsonschema_rs.validator_for(schema)
# Iterate over errors
for error in validator.iter_errors(instance):
print(f"Error: {error}")
print(f"Location: {error.instance_path}")
# Boolean result
assert validator.is_valid(instance)
```
> ⚠️ **Upgrading from older versions?** Check our [Migration Guide](https://github.com/Stranger6667/jsonschema/blob/master/crates/jsonschema-py/MIGRATION.md) for key changes.
## Highlights
- 📚 Full support for popular JSON Schema drafts
- 🌐 Remote reference fetching (network/file)
- 🔧 Custom format validators
- ✨ Meta-schema validation for schema documents
### Supported drafts
The following drafts are supported:
- [](https://bowtie.report/#/implementations/rust-jsonschema)
- [](https://bowtie.report/#/implementations/rust-jsonschema)
- [](https://bowtie.report/#/implementations/rust-jsonschema)
- [](https://bowtie.report/#/implementations/rust-jsonschema)
- [](https://bowtie.report/#/implementations/rust-jsonschema)
You can check the current status on the [Bowtie Report](https://bowtie.report/#/implementations/rust-jsonschema).
## Limitations
- No support for arbitrary precision numbers
## Installation
To install `jsonschema-rs` via `pip` run the following command:
```bash
pip install jsonschema-rs
```
## Usage
If you have a schema as a JSON string, then you could pass it to `validator_for`
to avoid parsing on the Python side:
```python
import jsonschema_rs
validator = jsonschema_rs.validator_for('{"minimum": 42}')
...
```
You can use draft-specific validators for different JSON Schema versions:
```python
import jsonschema_rs
# Automatic draft detection
validator = jsonschema_rs.validator_for({"minimum": 42})
# Draft-specific validators
validator = jsonschema_rs.Draft7Validator({"minimum": 42})
validator = jsonschema_rs.Draft201909Validator({"minimum": 42})
validator = jsonschema_rs.Draft202012Validator({"minimum": 42})
```
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:
1. Define a function that takes a `str` and returns a `bool`.
2. Pass it with the `formats` argument.
3. Ensure validate_formats is set appropriately (especially for Draft 2019-09 and 2020-12).
```python
import jsonschema_rs
def is_currency(value):
# The input value is always a string
return len(value) == 3 and value.isascii()
validator = jsonschema_rs.validator_for(
{"type": "string", "format": "currency"},
formats={"currency": is_currency},
validate_formats=True # Important for Draft 2019-09 and 2020-12
)
validator.is_valid("USD") # True
validator.is_valid("invalid") # False
```
Additional configuration options are available for fine-tuning the validation process:
- `validate_formats`: Override the draft-specific default behavior for format validation.
- `ignore_unknown_formats`: Control whether unrecognized formats should be reported as errors.
Example usage of these options:
```python
import jsonschema_rs
validator = jsonschema_rs.Draft202012Validator(
{"type": "string", "format": "date"},
validate_formats=True,
ignore_unknown_formats=False
)
# This will validate the "date" format
validator.is_valid("2023-05-17") # True
validator.is_valid("not a date") # False
# With ignore_unknown_formats=False, using an unknown format will raise an error
invalid_schema = {"type": "string", "format": "unknown"}
try:
jsonschema_rs.Draft202012Validator(
invalid_schema, validate_formats=True, ignore_unknown_formats=False
)
except jsonschema_rs.ValidationError as exc:
assert str(exc) == '''Unknown format: 'unknown'. Adjust configuration to ignore unrecognized formats
Failed validating "format" in schema
On instance:
"unknown"'''
```
## Meta-Schema Validation
JSON Schema documents can be validated against their meta-schemas to ensure they are valid schemas. `jsonschema-rs` provides this functionality through the `meta` module:
```python
import jsonschema_rs
# Valid schema
schema = {
"type": "object",
"properties": {
"name": {"type": "string"},
"age": {"type": "integer", "minimum": 0}
},
"required": ["name"]
}
# Validate schema (draft is auto-detected)
assert jsonschema_rs.meta.is_valid(schema)
jsonschema_rs.meta.validate(schema) # No error raised
# Invalid schema
invalid_schema = {
"minimum": "not_a_number" # "minimum" must be a number
}
try:
jsonschema_rs.meta.validate(invalid_schema)
except jsonschema_rs.ValidationError as exc:
assert 'is not of type "number"' in str(exc)
```
## External References
By default, `jsonschema-rs` resolves HTTP references and file references from the local file system. You can implement a custom retriever to handle external references. Here's an example that uses a static map of schemas:
```python
import jsonschema_rs
def retrieve(uri: str):
schemas = {
"https://example.com/person.json": {
"type": "object",
"properties": {
"name": {"type": "string"},
"age": {"type": "integer"}
},
"required": ["name", "age"]
}
}
if uri not in schemas:
raise KeyError(f"Schema not found: {uri}")
return schemas[uri]
schema = {
"$ref": "https://example.com/person.json"
}
validator = jsonschema_rs.validator_for(schema, retriever=retrieve)
# This is valid
validator.is_valid({
"name": "Alice",
"age": 30
})
# This is invalid (missing "age")
validator.is_valid({
"name": "Bob"
}) # False
```
## Schema Registry
For applications that frequently use the same schemas, you can create a registry to store and reference them efficiently:
```python
import jsonschema_rs
# Create a registry with schemas
registry = jsonschema_rs.Registry([
("https://example.com/address.json", {
"type": "object",
"properties": {
"street": {"type": "string"},
"city": {"type": "string"}
}
}),
("https://example.com/person.json", {
"type": "object",
"properties": {
"name": {"type": "string"},
"address": {"$ref": "https://example.com/address.json"}
}
})
])
# Use the registry with any validator
validator = jsonschema_rs.validator_for(
{"$ref": "https://example.com/person.json"},
registry=registry
)
# Validate instances
assert validator.is_valid({
"name": "John",
"address": {"street": "Main St", "city": "Boston"}
})
```
The registry can be configured with a draft version and a retriever for external references:
```python
import jsonschema_rs
registry = jsonschema_rs.Registry(
resources=[
(
"https://example.com/address.json",
{}
)
], # Your schemas
draft=jsonschema_rs.Draft202012, # Optional
retriever=lambda uri: {} # Optional
)
```
## Error Handling
`jsonschema-rs` provides detailed validation errors through the `ValidationError` class, which includes both basic error information and specific details about what caused the validation to fail:
```python
import jsonschema_rs
schema = {"type": "string", "maxLength": 5}
try:
jsonschema_rs.validate(schema, "too long")
except jsonschema_rs.ValidationError as error:
# Basic error information
print(error.message) # '"too long" is longer than 5 characters'
print(error.instance_path) # Location in the instance that failed
print(error.schema_path) # Location in the schema that failed
# Detailed error information via `kind`
if isinstance(error.kind, jsonschema_rs.ValidationErrorKind.MaxLength):
assert error.kind.limit == 5
print(f"Exceeded maximum length of {error.kind.limit}")
```
For a complete list of all error kinds and their attributes, see the [type definitions file](https://github.com/Stranger6667/jsonschema/blob/master/crates/jsonschema-py/python/jsonschema_rs/__init__.pyi)
### Error Message Masking
When working with sensitive data, you might want to hide actual values from error messages.
You can mask instance values in error messages by providing a placeholder:
```python
import jsonschema_rs
schema = {
"type": "object",
"properties": {
"password": {"type": "string", "minLength": 8},
"api_key": {"type": "string", "pattern": "^[A-Z0-9]{32}$"}
}
}
# Use default masking (replaces values with "[REDACTED]")
validator = jsonschema_rs.validator_for(schema, mask="[REDACTED]")
try:
validator.validate({
"password": "123",
"api_key": "secret_key_123"
})
except jsonschema_rs.ValidationError as exc:
assert str(exc) == '''[REDACTED] does not match "^[A-Z0-9]{32}$"
Failed validating "pattern" in schema["properties"]["api_key"]
On instance["api_key"]:
[REDACTED]'''
```
## Performance
`jsonschema-rs` is designed for high performance, outperforming other Python JSON Schema validators in most scenarios:
- Up to **60-390x** faster than `jsonschema` for complex schemas and large instances
- Generally **3-7x** faster than `fastjsonschema` on CPython
For detailed benchmarks, see our [full performance comparison](https://github.com/Stranger6667/jsonschema/blob/master/crates/jsonschema-py/BENCHMARKS.md).
## Python support
`jsonschema-rs` supports CPython 3.8, 3.9, 3.10, 3.11, 3.12, and 3.13.
## Acknowledgements
This library draws API design inspiration from the Python [`jsonschema`](https://github.com/python-jsonschema/jsonschema) package. We're grateful to the Python `jsonschema` maintainers and contributors for their pioneering work in JSON Schema validation.
## Support
If you have questions, need help, or want to suggest improvements, please use [GitHub Discussions](https://github.com/Stranger6667/jsonschema/discussions).
## Sponsorship
If you find `jsonschema-rs` useful, please consider [sponsoring its development](https://github.com/sponsors/Stranger6667).
## 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](https://bowtie.report/#/implementations/rust-jsonschema)
See [CONTRIBUTING.md](https://github.com/Stranger6667/jsonschema/blob/master/CONTRIBUTING.md) for more details.
## License
Licensed under [MIT License](https://github.com/Stranger6667/jsonschema/blob/master/LICENSE).
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"description": "# jsonschema-rs\n\n[](https://github.com/Stranger6667/jsonschema/actions)\n[](https://pypi.org/project/jsonschema-rs/)\n[](https://pypi.org/project/jsonschema-rs/)\n[](https://opensource.org/licenses/MIT)\n[<img alt=\"Supported Dialects\" src=\"https://img.shields.io/endpoint?url=https%3A%2F%2Fbowtie.report%2Fbadges%2Frust-jsonschema%2Fsupported_versions.json&style=flat-square\">](https://bowtie.report/#/implementations/rust-jsonschema)\n\nA high-performance JSON Schema validator for Python.\n\n```python\nimport jsonschema_rs\n\nschema = {\"maxLength\": 5}\ninstance = \"foo\"\n\n# One-off validation\ntry:\n jsonschema_rs.validate(schema, \"incorrect\")\nexcept jsonschema_rs.ValidationError as exc:\n assert str(exc) == '''\"incorrect\" is longer than 5 characters\n\nFailed validating \"maxLength\" in schema\n\nOn instance:\n \"incorrect\"'''\n\n# Build & reuse (faster)\nvalidator = jsonschema_rs.validator_for(schema)\n\n# Iterate over errors\nfor error in validator.iter_errors(instance):\n print(f\"Error: {error}\")\n print(f\"Location: {error.instance_path}\")\n\n# Boolean result\nassert validator.is_valid(instance)\n```\n\n> \u26a0\ufe0f **Upgrading from older versions?** Check our [Migration Guide](https://github.com/Stranger6667/jsonschema/blob/master/crates/jsonschema-py/MIGRATION.md) for key changes.\n\n## Highlights\n\n- \ud83d\udcda Full support for popular JSON Schema drafts\n- \ud83c\udf10 Remote reference fetching (network/file)\n- \ud83d\udd27 Custom format validators\n- \u2728 Meta-schema validation for schema documents\n\n### Supported drafts\n\nThe following drafts are supported:\n\n- [](https://bowtie.report/#/implementations/rust-jsonschema)\n- [](https://bowtie.report/#/implementations/rust-jsonschema)\n- [](https://bowtie.report/#/implementations/rust-jsonschema)\n- [](https://bowtie.report/#/implementations/rust-jsonschema)\n- [](https://bowtie.report/#/implementations/rust-jsonschema)\n\nYou can check the current status on the [Bowtie Report](https://bowtie.report/#/implementations/rust-jsonschema).\n\n## Limitations\n\n- No support for arbitrary precision numbers\n\n## Installation\n\nTo install `jsonschema-rs` via `pip` run the following command:\n\n```bash\npip install jsonschema-rs\n```\n\n## Usage\n\nIf you have a schema as a JSON string, then you could pass it to `validator_for`\nto avoid parsing on the Python side:\n\n```python\nimport jsonschema_rs\n\nvalidator = jsonschema_rs.validator_for('{\"minimum\": 42}')\n...\n```\n\nYou can use draft-specific validators for different JSON Schema versions:\n\n```python\nimport jsonschema_rs\n\n# Automatic draft detection\nvalidator = jsonschema_rs.validator_for({\"minimum\": 42})\n\n# Draft-specific validators\nvalidator = jsonschema_rs.Draft7Validator({\"minimum\": 42})\nvalidator = jsonschema_rs.Draft201909Validator({\"minimum\": 42})\nvalidator = jsonschema_rs.Draft202012Validator({\"minimum\": 42})\n```\n\nJSON Schema allows for format validation through the `format` keyword. While `jsonschema-rs`\nprovides built-in validators for standard formats, you can also define custom format validators\nfor domain-specific string formats.\n\nTo implement a custom format validator:\n\n1. Define a function that takes a `str` and returns a `bool`.\n2. Pass it with the `formats` argument.\n3. Ensure validate_formats is set appropriately (especially for Draft 2019-09 and 2020-12).\n\n```python\nimport jsonschema_rs\n\ndef is_currency(value):\n # The input value is always a string\n return len(value) == 3 and value.isascii()\n\n\nvalidator = jsonschema_rs.validator_for(\n {\"type\": \"string\", \"format\": \"currency\"}, \n formats={\"currency\": is_currency},\n validate_formats=True # Important for Draft 2019-09 and 2020-12\n)\nvalidator.is_valid(\"USD\") # True\nvalidator.is_valid(\"invalid\") # False\n```\n\nAdditional configuration options are available for fine-tuning the validation process:\n\n- `validate_formats`: Override the draft-specific default behavior for format validation.\n- `ignore_unknown_formats`: Control whether unrecognized formats should be reported as errors.\n\nExample usage of these options:\n\n```python\nimport jsonschema_rs\n\nvalidator = jsonschema_rs.Draft202012Validator(\n {\"type\": \"string\", \"format\": \"date\"},\n validate_formats=True,\n ignore_unknown_formats=False\n)\n\n# This will validate the \"date\" format\nvalidator.is_valid(\"2023-05-17\") # True\nvalidator.is_valid(\"not a date\") # False\n\n# With ignore_unknown_formats=False, using an unknown format will raise an error\ninvalid_schema = {\"type\": \"string\", \"format\": \"unknown\"}\ntry:\n jsonschema_rs.Draft202012Validator(\n invalid_schema, validate_formats=True, ignore_unknown_formats=False\n )\nexcept jsonschema_rs.ValidationError as exc:\n assert str(exc) == '''Unknown format: 'unknown'. Adjust configuration to ignore unrecognized formats\n\nFailed validating \"format\" in schema\n\nOn instance:\n \"unknown\"'''\n```\n\n## Meta-Schema Validation\n\nJSON Schema documents can be validated against their meta-schemas to ensure they are valid schemas. `jsonschema-rs` provides this functionality through the `meta` module:\n\n```python\nimport jsonschema_rs\n\n# Valid schema\nschema = {\n \"type\": \"object\",\n \"properties\": {\n \"name\": {\"type\": \"string\"},\n \"age\": {\"type\": \"integer\", \"minimum\": 0}\n },\n \"required\": [\"name\"]\n}\n\n# Validate schema (draft is auto-detected)\nassert jsonschema_rs.meta.is_valid(schema)\njsonschema_rs.meta.validate(schema) # No error raised\n\n# Invalid schema\ninvalid_schema = {\n \"minimum\": \"not_a_number\" # \"minimum\" must be a number\n}\n\ntry:\n jsonschema_rs.meta.validate(invalid_schema)\nexcept jsonschema_rs.ValidationError as exc:\n assert 'is not of type \"number\"' in str(exc)\n```\n\n## External References\n\nBy default, `jsonschema-rs` resolves HTTP references and file references from the local file system. You can implement a custom retriever to handle external references. Here's an example that uses a static map of schemas:\n\n```python\nimport jsonschema_rs\n\ndef retrieve(uri: str):\n schemas = {\n \"https://example.com/person.json\": {\n \"type\": \"object\",\n \"properties\": {\n \"name\": {\"type\": \"string\"},\n \"age\": {\"type\": \"integer\"}\n },\n \"required\": [\"name\", \"age\"]\n }\n }\n if uri not in schemas:\n raise KeyError(f\"Schema not found: {uri}\")\n return schemas[uri]\n\nschema = {\n \"$ref\": \"https://example.com/person.json\"\n}\n\nvalidator = jsonschema_rs.validator_for(schema, retriever=retrieve)\n\n# This is valid\nvalidator.is_valid({\n \"name\": \"Alice\",\n \"age\": 30\n})\n\n# This is invalid (missing \"age\")\nvalidator.is_valid({\n \"name\": \"Bob\"\n}) # False\n```\n\n## Schema Registry\n\nFor applications that frequently use the same schemas, you can create a registry to store and reference them efficiently:\n\n```python\nimport jsonschema_rs\n\n# Create a registry with schemas\nregistry = jsonschema_rs.Registry([\n (\"https://example.com/address.json\", {\n \"type\": \"object\",\n \"properties\": {\n \"street\": {\"type\": \"string\"},\n \"city\": {\"type\": \"string\"}\n }\n }),\n (\"https://example.com/person.json\", {\n \"type\": \"object\",\n \"properties\": {\n \"name\": {\"type\": \"string\"},\n \"address\": {\"$ref\": \"https://example.com/address.json\"}\n }\n })\n])\n\n# Use the registry with any validator\nvalidator = jsonschema_rs.validator_for(\n {\"$ref\": \"https://example.com/person.json\"},\n registry=registry\n)\n\n# Validate instances\nassert validator.is_valid({\n \"name\": \"John\",\n \"address\": {\"street\": \"Main St\", \"city\": \"Boston\"}\n})\n```\n\nThe registry can be configured with a draft version and a retriever for external references:\n\n```python\nimport jsonschema_rs\n\nregistry = jsonschema_rs.Registry(\n resources=[\n (\n \"https://example.com/address.json\",\n {}\n )\n ], # Your schemas\n draft=jsonschema_rs.Draft202012, # Optional\n retriever=lambda uri: {} # Optional\n)\n```\n\n## Error Handling\n\n`jsonschema-rs` provides detailed validation errors through the `ValidationError` class, which includes both basic error information and specific details about what caused the validation to fail:\n\n```python\nimport jsonschema_rs\n\nschema = {\"type\": \"string\", \"maxLength\": 5}\n\ntry:\n jsonschema_rs.validate(schema, \"too long\")\nexcept jsonschema_rs.ValidationError as error:\n # Basic error information\n print(error.message) # '\"too long\" is longer than 5 characters'\n print(error.instance_path) # Location in the instance that failed\n print(error.schema_path) # Location in the schema that failed\n\n # Detailed error information via `kind`\n if isinstance(error.kind, jsonschema_rs.ValidationErrorKind.MaxLength):\n assert error.kind.limit == 5\n print(f\"Exceeded maximum length of {error.kind.limit}\")\n```\n\nFor a complete list of all error kinds and their attributes, see the [type definitions file](https://github.com/Stranger6667/jsonschema/blob/master/crates/jsonschema-py/python/jsonschema_rs/__init__.pyi)\n\n### Error Message Masking\n\nWhen working with sensitive data, you might want to hide actual values from error messages.\nYou can mask instance values in error messages by providing a placeholder:\n\n```python\nimport jsonschema_rs\n\nschema = {\n \"type\": \"object\",\n \"properties\": {\n \"password\": {\"type\": \"string\", \"minLength\": 8},\n \"api_key\": {\"type\": \"string\", \"pattern\": \"^[A-Z0-9]{32}$\"}\n }\n}\n\n# Use default masking (replaces values with \"[REDACTED]\")\nvalidator = jsonschema_rs.validator_for(schema, mask=\"[REDACTED]\")\n\ntry:\n validator.validate({\n \"password\": \"123\",\n \"api_key\": \"secret_key_123\"\n })\nexcept jsonschema_rs.ValidationError as exc:\n assert str(exc) == '''[REDACTED] does not match \"^[A-Z0-9]{32}$\"\n\nFailed validating \"pattern\" in schema[\"properties\"][\"api_key\"]\n\nOn instance[\"api_key\"]:\n [REDACTED]'''\n```\n\n## Performance\n\n`jsonschema-rs` is designed for high performance, outperforming other Python JSON Schema validators in most scenarios:\n\n- Up to **60-390x** faster than `jsonschema` for complex schemas and large instances\n- Generally **3-7x** faster than `fastjsonschema` on CPython\n\nFor detailed benchmarks, see our [full performance comparison](https://github.com/Stranger6667/jsonschema/blob/master/crates/jsonschema-py/BENCHMARKS.md).\n\n## Python support\n\n`jsonschema-rs` supports CPython 3.8, 3.9, 3.10, 3.11, 3.12, and 3.13.\n\n## Acknowledgements\n\nThis library draws API design inspiration from the Python [`jsonschema`](https://github.com/python-jsonschema/jsonschema) package. We're grateful to the Python `jsonschema` maintainers and contributors for their pioneering work in JSON Schema validation.\n\n## Support\n\nIf you have questions, need help, or want to suggest improvements, please use [GitHub Discussions](https://github.com/Stranger6667/jsonschema/discussions).\n\n## Sponsorship\n\nIf you find `jsonschema-rs` useful, please consider [sponsoring its development](https://github.com/sponsors/Stranger6667).\n\n## Contributing\n\nWe welcome contributions! Here's how you can help:\n\n- Share your use cases\n- Implement missing keywords\n- Fix failing test cases from the [JSON Schema test suite](https://bowtie.report/#/implementations/rust-jsonschema)\n\nSee [CONTRIBUTING.md](https://github.com/Stranger6667/jsonschema/blob/master/CONTRIBUTING.md) for more details.\n\n## License\n\nLicensed under [MIT License](https://github.com/Stranger6667/jsonschema/blob/master/LICENSE).\n\n\n",
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