Yet another serialization library on top of dataclasses, inspired by serde-rs.
Guide🇬🇧 | ガイド🇯🇵 | API Reference | Examples
pyserde is a simple yet powerful serialization library on top of dataclasses. It allows you to convert Python objects to and from JSON, YAML, and other formats easily and efficiently.
Declare your class with @serde decorator and annotate fields using PEP484 as below.
@serde
class Foo:
i: int
s: str
f: float
b: boolYou can serialize Foo object into JSON.
>>> to_json(Foo(i=10, s='foo', f=100.0, b=True))
'{"i":10,"s":"foo","f":100.0,"b":true}'You can deserialize JSON into Foo object.
>>> from_json(Foo, '{"i": 10, "s": "foo", "f": 100.0, "b": true}')
Foo(i=10, s='foo', f=100.0, b=True)That's it! If you're interested in pyserde, please check our documentation! Happy coding with pyserde! 🚀
- Supported data formats
- dict
- tuple
- JSON
- Yaml
- Toml
- MsgPack
- Pickle
- Supported types
- Primitives (
int,float,str,bool) - Containers
list,set,tuple,dictfrozenset,defaultdict
typing.Optionaltyping.Union- User defined class with
@dataclass typing.NewTypefor primitive typestyping.Anytyping.Literaltyping.Generictyping.ClassVardataclasses.InitVarEnumandIntEnum- Standard library
- PyPI library
numpytypesSQLAlchemyDeclarative Dataclass Mapping (experimental)
- Primitives (
- Class Attributes
- Field Attributes
- Decorators
- Type Check
- Union Representation
- Forward reference
- PEP563 Postponed Evaluation of Annotations
- PEP585 Type Hinting Generics In Standard Collections
- PEP604 Allow writing union types as X | Y
- PEP681 Data Class Transform
- PEP695 Type Parameter Syntax
- Case Conversion
- Rename
- Alias
- Skip (de)serialization (skip, skip_if, skip_if_false, skip_if_default)
- Custom field (de)serializer
- Custom class (de)serializer
- Custom global (de)serializer
- Flatten
- pyserde-timedelta: (de)serializing datetime.timedelta in ISO 8601 duration format.
Thanks goes to these wonderful people:
Made with contrib.rocks.
This project is licensed under the MIT license.