A lightweight library for converting complex datatypes to and from native Python datatypes.
Project description
Homepage: http://marshmallow.rtfd.org/
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 marshmallow import Schema, fields, pprint
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.data, 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.
Get It Now
$ pip install -U marshmallow
Documentation
Full documentation is available at http://marshmallow.rtfd.org/ .
Requirements
Python >= 2.6 or >= 3.3
marshmallow has no external dependencies outside of the Python standard library, although python-dateutil is recommended for robust datetime deserialization.
Project Links
Changelog: http://marshmallow.rtfd.org/changelog
PyPI:
License
MIT licensed. See the bundled LICENSE file for more 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
Built Distribution
Hashes for marshmallow-1.2.0-py2.py3-none-any.whl
| Algorithm | Hash digest | |
|---|---|---|
| SHA256 | 4ddc7f83964596521910493561b9290a3a2c9d697f759fdc8293a883ac391f66 |
|
| MD5 | f97e47a94d5c0176a067c21059b6112d |
|
| BLAKE2b-256 | c6aafa48846d4bd59682f6323ce5214134863ebcfadb9a1763c0660265fbfc46 |
