jsonschema
jsonschema
is an implementation of JSON Schema for Python.
>>> 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
Community
The JSON Schema specification has a Slack, with an invite link on its home page. Many folks knowledgeable on authoring schemas can be found there.
Otherwise, asking questions on Stack Overflow is another means of getting help if you're stuck.
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.