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-4.0.0a2.tar.gz (275.1 kB view details)

Uploaded Source

Built Distribution

jsonschema-4.0.0a2-py2.py3-none-any.whl (59.6 kB view details)

Uploaded Python 2 Python 3

File details

Details for the file jsonschema-4.0.0a2.tar.gz.

File metadata

  • Download URL: jsonschema-4.0.0a2.tar.gz
  • Upload date:
  • Size: 275.1 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.6

File hashes

Hashes for jsonschema-4.0.0a2.tar.gz
Algorithm Hash digest
SHA256 538869659335b6ccb69dcbaa2f41ef3a1a709432614f17b924b61f6cd2b8ff58
MD5 942db0ac67fb816608c245e70e20d7d5
BLAKE2b-256 fbd06f57222801b39ff781be95f074a2b388e78e5f4274a2d1302e656e77e481

See more details on using hashes here.

File details

Details for the file jsonschema-4.0.0a2-py2.py3-none-any.whl.

File metadata

  • Download URL: jsonschema-4.0.0a2-py2.py3-none-any.whl
  • Upload date:
  • Size: 59.6 kB
  • Tags: Python 2, Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: twine/3.4.1 importlib_metadata/4.6.1 pkginfo/1.7.1 requests/2.25.1 requests-toolbelt/0.9.1 tqdm/4.61.2 CPython/3.9.6

File hashes

Hashes for jsonschema-4.0.0a2-py2.py3-none-any.whl
Algorithm Hash digest
SHA256 5448c45a10a63a83e6a24c1993393c2b8a15764e49c9f47977447adb8fffc98c
MD5 67507c151459d1487691bf40d896e0a6
BLAKE2b-256 780f0a9e990ea5cae83e6a50173b9d5e50af25c870e56885759acc036311609b

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