mitar / py-jsonschema

An(other) implementation of JSON Schema for Python

jsonschema

jsonschema is an implementation of JSON Schema for Python (supporting 2.7+ including Python 3).

>>> from jsonschema import validate

>>> # A sample schema, like what we'd get from json.load()
>>> schema = {
...     "type" : "object",
...     "properties" : {
...         "price" : {"type" : "number"},
...         "name" : {"type" : "string"},
...     },
... }

>>> # If no exception is raised by validate(), the instance is valid.
>>> 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 console:

$ jsonschema -i sample.json sample.schema

Features

• Full support for Draft 7, Draft 6, Draft 4 and Draft 3
• Lazy validation that can iteratively report all validation errors.
• Programmatic querying of which properties or items failed validation.

Installation

jsonschema is available on PyPI. You can install using pip:

$ pip install jsonschema

Demo

Try jsonschema interactively in this online demo:

Online demo Notebook will look similar to this:

Release Notes

v3.1 brings support for ECMA 262 dialect regular expressions throughout schemas, as recommended by the specification. Big thanks to @Zac-HD for authoring support in a new js-regex library.

Running the Test Suite

If you have tox installed (perhaps via pip install tox or your package manager), running tox in the directory of your source checkout will run jsonschema's test suite on all of the versions of Python jsonschema supports. If you don't have all of the versions that jsonschema is tested under, you'll likely want to run using tox's --skip-missing-interpreters option.

Of course you're also free to just run the tests on a single version with your favorite test runner. The tests live in the jsonschema.tests package.

Benchmarks

jsonschema's benchmarks make use of pyperf.

Running them can be done via tox -e perf, or by invoking the pyperf commands externally (after ensuring that both it and jsonschema itself are installed):

$ python -m pyperf jsonschema/benchmarks/test_suite.py --hist --output results.json

To compare to a previous run, use:

$ python -m pyperf compare_to --table reference.json results.json

See the pyperf documentation for more details.

Community

There's a mailing list for this implementation on Google Groups.

Please join, and feel free to send questions there.

Contributing

I'm Julian Berman.

jsonschema is on GitHub.

Get in touch, via GitHub or otherwise, if you've got something to contribute, it'd be most welcome!

You can also generally find me on Freenode (nick: tos9) in various channels, including #python.

If you feel overwhelmingly grateful, you can also woo me with beer money via Google Pay with the email in my GitHub profile.

And for companies who appreciate jsonschema and its continued support and growth, jsonschema is also now supportable via TideLift <https://tidelift.com/subscription/pkg/pypi-jsonschema?utm_source=pypi-j sonschema&utm_medium=referral&utm_campaign=readme>.