Yet another serialization library on top of dataclasses, inspired by serde-rs.
Declare a class with pyserde's @serde
decorator.
@serde
@dataclass
class Foo:
i: int
s: str
f: float
b: bool
You 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)
- Supported data formats
- dict
- tuple
- JSON
- Yaml
- Toml
- MsgPack
- Pickle
- Supported types
- Primitives (
int
,float
,str
,bool
) - Containers
List
,Set
,Tuple
,Dict
FrozenSet
,DefaultDict
typing.Optional
typing.Union
- User defined class with
@dataclass
typing.NewType
for primitive typestyping.Any
typing.Literal
typing.Generic
typing.ClassVar
dataclasses.InitVar
Enum
andIntEnum
- Standard library
- PyPI library
numpy
types
- 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
- Case Conversion
- Rename
- Alias
- Skip (de)serialization (skip, skip_if, skip_if_false, skip_if_default)
- Custom class (de)serializer
- Custom field (de)serializer
- Flatten
Thanks goes to these wonderful people (emoji key):
This project follows the all-contributors specification. Contributions of any kind welcome!
This project is licensed under the MIT license.