Skip to main content

An implementation of JSON Schema validation for Python

Project description

PyPI version Supported Python versions Build status ReadTheDocs status

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 --instance sample.json sample.schema

Features

Installation

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

$ pip install jsonschema

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.

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

jsonschema-4.0.0a1.tar.gz (236.8 kB view details)

Uploaded Source

Built Distribution

jsonschema-4.0.0a1-py2.py3-none-any.whl (58.4 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file jsonschema-4.0.0a1.tar.gz.

File metadata

  • Download URL: jsonschema-4.0.0a1.tar.gz
  • Upload date:
  • Size: 236.8 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for jsonschema-4.0.0a1.tar.gz
Algorithm Hash digest
SHA256 6fbbcc8035b0d8722146b8a90ada08fcd910b731aa0c920b757be9c081bc849f
MD5 e4791ae7ae7ae6899cd22e223b551e5e
BLAKE2b-256 ee10f2137346cd9568f1a92a9c6c12b086bc14223f16e90ab04d8c8edf36d39d

See more details on using hashes here.

File details

Details for the file jsonschema-4.0.0a1-py2.py3-none-any.whl.

File metadata

  • Download URL: jsonschema-4.0.0a1-py2.py3-none-any.whl
  • Upload date:
  • Size: 58.4 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.0.1 pkginfo/1.7.0 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.60.0 CPython/3.9.5

File hashes

Hashes for jsonschema-4.0.0a1-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 2ff5bbf25cb69af3a2138a3f8e791aed116f474bea8d28469829e1707230896e
MD5 edd78d0a7c1bb94b3eba04b87249ea16
BLAKE2b-256 0336e1b8a441f8328d0e68a5472b426453aff7d3a6e5ebfe025aec0571064ab5

See more details on using hashes here.

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page