A fast and friendly JSON/MessagePack library, with optional schema validation

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  • License: BSD License (BSD)
  • Maintainer: Jim Crist-Harif
  • Tags JSON, msgpack, Messagepack, serialization, schema
  • Requires: Python >=3.8
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Project description

github pypi conda

msgspec is a fast and friendly serialization library for Python, supporting both JSON and MessagePack. It integrates well with Python’s type annotations, providing ergonomic (and performant!) schema validation.

Define your message schemas using standard Python type annotations.

>>> from typing import Optional, Set

>>> import msgspec

>>> class User(msgspec.Struct):
...     """A new type describing a User"""
...     name: str
...     groups: Set[str] = set()
...     email: Optional[str] = None

Encode messages as JSON or MessagePack.

>>> alice = User("alice", groups={"admin", "engineering"})

>>> alice
User(name='alice', groups={"admin", "engineering"}, email=None)

>>> msg = msgspec.json.encode(alice)

>>> msg
b'{"name":"alice","groups":["admin","engineering"],"email":null}'

Decode messages back into Python types (with optional schema validation).

>>> msgspec.json.decode(msg, type=User)
User(name='alice', groups={"admin", "engineering"}, email=None)

>>> msgspec.json.decode(b'{"name":"bob","groups":[123]}', type=User)
Traceback (most recent call last):
  File "<stdin>", line 1, in <module>
msgspec.DecodeError: Expected `str`, got `int` - at `$.groups[0]`

msgspec is designed to be as performant as possible, while retaining some of the nicities of validation libraries like pydantic. For supported types, encoding/decoding a message with msgspec can be ~2-40x faster than alternative libraries.

https://github.com/jcrist/msgspec/raw/master/docs/source/_static/bench-1.png

See the documentation for more information.

LICENSE

New BSD. See the License File.

Project details

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  • License: BSD License (BSD)
  • Maintainer: Jim Crist-Harif
  • Tags JSON, msgpack, Messagepack, serialization, schema
  • Requires: Python >=3.8
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0.18.6

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0.13.0 yanked

Reason this release was yanked:

Memory leak in JSON decoder

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