marshmallow: simplified object serialization¶
Release v3.22.0. (Changelog)
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.
Get It Now¶
$ pip install -U marshmallow
Ready to get started? Go on to the Quickstart tutorial or check out some Examples.
Upgrading from an older version?¶
See the Upgrading to Newer Releases page for notes on getting your code up-to-date with the latest version.
Why another library?¶
See this document to learn about what makes marshmallow unique.
Sponsors¶
marshmallow is sponsored by Route4Me.
Support this project by becoming a sponsor (or ask your company to support this project by becoming a sponsor). Your logo will be displayed here with a link to your website. [Become a sponsor]
Guide¶
- Installation
- Quickstart
- Declaring Schemas
- Creating Schemas From Dictionaries
- Serializing Objects (“Dumping”)
- Filtering Output
- Deserializing Objects (“Loading”)
- Handling Collections of Objects
- Validation
- Required Fields
- Partial Loading
- Specifying Defaults
- Handling Unknown Fields
- Validation Without Deserialization
- “Read-only” and “Write-only” Fields
- Specifying Serialization/Deserialization Keys
- Implicit Field Creation
- Next Steps
- Nesting Schemas
- Custom Fields
- Extending Schemas
- Examples