marshmallow is an ORM/ODM/framework-agnostic library for converting complex datatypes, such as objects, to and from native Python datatypes.
from datetime import date
from pprint import pprint
from marshmallow import Schema, fields
class ArtistSchema(Schema):
name = fields.Str()
class AlbumSchema(Schema):
title = fields.Str()
release_date = fields.Date()
artist = fields.Nested(ArtistSchema())
bowie = dict(name="David Bowie")
album = dict(artist=bowie, title="Hunky Dory", release_date=date(1971, 12, 17))
schema = AlbumSchema()
result = schema.dump(album)
pprint(result, indent=2)
# { 'artist': {'name': 'David Bowie'},
# 'release_date': '1971-12-17',
# 'title': 'Hunky Dory'}In short, marshmallow schemas can be used to:
- Validate input data.
- Deserialize input data to app-level objects.
- Serialize app-level objects to primitive Python types. The serialized objects can then be rendered to standard formats such as JSON for use in an HTTP API.
$ pip install -U marshmallow
Full documentation is available at https://marshmallow.readthedocs.io/ .
- Python >= 3.5
A list of marshmallow-related libraries can be found at the GitHub wiki here:
https://github.com/marshmallow-code/marshmallow/wiki/Ecosystem
This project exists thanks to all the people who contribute.
You're highly encouraged to participate in marshmallow's development. Check out the Contributing Guidelines to see how you can help.
Thank you to all who have already contributed to marshmallow!
If you find marshmallow useful, please consider supporting the team with a donation. Your donation helps move marshmallow forward.
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- Docs: https://marshmallow.readthedocs.io/
- Changelog: https://marshmallow.readthedocs.io/en/latest/changelog.html
- Contributing Guidelines: https://marshmallow.readthedocs.io/en/latest/contributing.html
- PyPI: https://pypi.python.org/pypi/marshmallow
- Issues: https://github.com/marshmallow-code/marshmallow/issues
- Donate: https://opencollective.com/marshmallow
MIT licensed. See the bundled LICENSE file for more details.