If you haven't check jsonschema library, it can be useful to validate data. JSON Schema is a way to describe the content of JSON. The library just uses the format to make validations based on the given schema.
I made a simple example from basic usage.
import json
from jsonschema import validate
# Describe what kind of json you expect.
schema = {
"type" : "object",
"properties" : {
"description" : {"type" : "string"},
"status" : {"type" : "boolean"},
"value_a" : {"type" : "number"},
"value_b" : {"type" : "number"},
},
}
# Convert json to python object.
my_json = json.loads('{"description": "Hello world!", "status": true, "value_a": 1, "value_b": 3.14}')
# Validate will raise exception if given json is not
# what is described in schema.
validate(instance=my_json, schema=schema)
# print for debug
print(my_json)
GitHub
github.com › python-jsonschema › check-jsonschema
GitHub - python-jsonschema/check-jsonschema: A CLI and set of pre-commit hooks for jsonschema validation with built-in support for GitHub Workflows, Renovate, Azure Pipelines, and more! · GitHub
A CLI and set of pre-commit hooks for jsonschema validation with built-in support for GitHub Workflows, Renovate, Azure Pipelines, and more! - python-jsonschema/check-jsonschema
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jsonschema
python-jsonschema.readthedocs.io › en › stable › validate
Schema Validation - jsonschema 4.26.0 documentation
Check whether the instance conforms to the given format. ... Validating a format failed. The JSON Schema specification recommends (but does not require) that implementations use ECMA 262 regular expressions. Given that there is no current library in Python capable of supporting the ECMA 262 dialect, the regex format will instead validate Python regular expressions, which are the ones used by this implementation for other keywords like pattern or patternProperties.
Videos
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JSON Schema Validation in Python: Bring Structure Into JSON - YouTube
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How to validate Json format in python
Top answer 1 of 4
67
If you haven't check jsonschema library, it can be useful to validate data. JSON Schema is a way to describe the content of JSON. The library just uses the format to make validations based on the given schema.
I made a simple example from basic usage.
import json
from jsonschema import validate
# Describe what kind of json you expect.
schema = {
"type" : "object",
"properties" : {
"description" : {"type" : "string"},
"status" : {"type" : "boolean"},
"value_a" : {"type" : "number"},
"value_b" : {"type" : "number"},
},
}
# Convert json to python object.
my_json = json.loads('{"description": "Hello world!", "status": true, "value_a": 1, "value_b": 3.14}')
# Validate will raise exception if given json is not
# what is described in schema.
validate(instance=my_json, schema=schema)
# print for debug
print(my_json)
2 of 4
12
As you're using a JSON file, you can use this example:
import json
def validate(filename):
with open(filename) as file:
try:
data = json.load(file) # put JSON-data to a variable
print("Valid JSON") # in case json is valid
return data
except json.decoder.JSONDecodeError:
print("Invalid JSON") # in case json is invalid
PyPI
pypi.org › project › check-jsonschema
check-jsonschema · PyPI
The schema may be specified as a local or remote (HTTP or HTTPS) file. Remote files are automatically downloaded and cached if possible. check-jsonschema can be installed and run as a CLI tool, or via pre-commit. The following configuration uses check-jsonschema to validate Github Workflow files. - repo: https://github.com/python-jsonschema/check-jsonschema rev: 0.37.0 hooks: - id: check-github-workflows args: ["--verbose"]
» pip install check-jsonschema
jsonschema
python-jsonschema.readthedocs.io
jsonschema 4.26.0 documentation
Be aware that the mere presence ... in a schema – do not activate format checks (as per the specification). Please read the format validation documentation for further details. If you have nox installed (perhaps via pipx install nox or your package manager), running nox in the directory of your source checkout will run jsonschema’s test suite on all of the versions of Python jsonschema ...
Built In
builtin.com › software-engineering-perspectives › python-json-schema
How to Use JSON Schema to Validate JSON Documents in Python | Built In
It supports nested objects, arrays, and uses $defs for reusable code. A Validator instance allows for efficient multi-document validation. In Python, the JSON Schema library can be used to validate a JSON document against a schema.
Pydantic
docs.pydantic.dev › latest › concepts › json_schema
JSON Schema - Pydantic Validation
The TypeAdapter class lets you create an object with methods for validating, serializing, and producing JSON schemas for arbitrary types. This serves as a complete replacement for schema_of in Pydantic V1 (which is now deprecated). Here's an example of generating JSON schema from a TypeAdapter:
GeeksforGeeks
geeksforgeeks.org › python › introduction-to-python-jsonschema
Introduction to Python jsonschema - GeeksforGeeks
July 23, 2025 - To validate JSON data using jsonschema, we first define a schema and then use the validate function from the jsonschema library. Here's a simple example: This code defines a schema requiring an object with name (string) and age (integer).
Medium
medium.com › @erick.peirson › type-checking-with-json-schema-in-python-3244f3917329
Type checking with JSON Schema in Python | by Erick Peirson | Medium
April 26, 2019 - From an early phase of the arXiv Next Generation project, we’ve enjoyed adopting type annotations (PEP 484, PEP 526) using Python’s native typing library (since Python 3.5) and the mypy static type checker, which we run as part of our continuous integration workflow. While there was a bit of an acclimation curve, this has (I believe) led to cleaner, more readable code. At around the same time, we adopted JSON Schema to describe resources exposed by both internal and public REST APIs, and began using the jsonschema Python package in API tests.
Zuplo
zuplo.com › home › blog › need to verify your json schema? here's a few ways to do it!
Need to Verify Your JSON Schema? Here's a Few Ways to Do It! - Zuplo
July 19, 2024 - To do this, in Zuplo you can add your JSON Schema to your OpenAPI spec to ensure that the data your API will use is described. With your OpenAPI doc complete with JSON schema, you can then use the Request Validation Inbound policy that will check the incoming request against the schema and block it from hitting the upstream API if the format does not match.
GitHub
github.com › python-jsonschema › jsonschema
GitHub - python-jsonschema/jsonschema: An implementation of the JSON Schema specification for Python · GitHub
>>> validate(instance={"name" : "Eggs", "price" : 34.99}, schema=schema) >>> validate( ... instance={"name" : "Eggs", "price" : "Invalid"}, schema=schema, ... ) # doctest: +IGNORE_EXCEPTION_DETAIL Traceback (most recent call last): ... ValidationError: 'Invalid' is not of type 'number' It can also be used from the command line by installing check-jsonschema.
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jsonschema
python-jsonschema.readthedocs.io › en › latest › validate
Schema Validation - python-jsonschema - Read the Docs
Check whether the instance conforms to the given format. ... Validating a format failed. The JSON Schema specification recommends (but does not require) that implementations use ECMA 262 regular expressions. Given that there is no current library in Python capable of supporting the ECMA 262 dialect, the regex format will instead validate Python regular expressions, which are the ones used by this implementation for other keywords like pattern or patternProperties.
Towards Data Science
towardsdatascience.com › home › latest › how to validate your json using json schema
How to Validate Your JSON Using JSON Schema | Towards Data Science
January 21, 2025 - JSON Schema is a powerful tool. It enables you to validate your JSON structure and make sure it meets the required API. You can create a schema as complex and nested as you need, all you need are the requirements.
Vegibit
vegibit.com › how-to-validate-json-schema-in-python
How To Validate JSON Schema in Python – vegibit
You can use the json module in Python for this. Validate the Data: Finally, you use the validate() function provided by jsonschema to check whether your data conforms to the schema.
Towards Data Science
towardsdatascience.com › home › latest › how to use json schema to validate json documents in python
How to Use JSON Schema to Validate JSON Documents in Python | Towards Data Science
March 5, 2025 - For simplicity, they will not be specified in this post, but you should normally add them to your project for best practice. In Python, we can use the jsonschema library to validate a JSON instance (can also be referred to as JSON document as ...
Read the Docs
app.readthedocs.org › projects › python-jsonschema › downloads › pdf › latest pdf
jsonschema Release 4.26.1.dev25+gad0a1b301 Julian Berman Mar 02, 2026
A TypeChecker performs type checking for a Validator, converting between the defined JSON Schema types ... Modifying the behavior just mentioned by redefining which Python objects are considered to be of which JSON
DEV Community
dev.to › mxglt › how-to-validate-a-json-file-with-json-schema-36ja
How to validate a JSON file with JSON Schema - DEV Community
January 7, 2022 - >>> validate(instance={"name" : "Eggs", "price" : 34.99}, schema=schema) >>> validate( ... instance={"name" : "Eggs", "price" : "Invalid"}, schema=schema, ... ) # doctest: +IGNORE_EXCEPTION_DETAIL Traceback (most recent call last): ... ValidationError: 'Invalid' is not of type 'number' It can also be used from the command line by installing check-jsonschema…
Google Groups
groups.google.com › g › jsonschema › c › kNv_4v-cIJU
Validating JSON schema itself
to jsonschema - An implementation of JSON Schema for Python · Ugh never mind me, literally discovered https://python-jsonschema.readthedocs.io/en/stable/validate/#jsonschema.IValidator.check_schema the moment after posting this message.
pytz
pythonhosted.org › linaro-json › reference › schema.html
JSON Schema Validation — Linaro JSON v(2, 0, 1, 'final', 0) documentation
Correct JSON types are one of the pre-defined simple types or another schema object. List of built-in simple types: * ‘string’ * ‘number’ * ‘integer’ * ‘boolean’ * ‘object’ * ‘array’ * ‘any’ (default) ... exception linaro_json.schema.ValidationError(message, new_message=None, object_expr=None, schema_expr=None)¶
Stuarteberg
stuarteberg.github.io › jsonschema › validate.html
Schema Validation — jsonschema 2.5.1.post17 documentation
Validate the given schema against the validator’s META_SCHEMA. ... Check if the instance is of the given (JSON Schema) type.