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feat: add cloudpickle to Serialization > Object Pickling

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Pickling arbitrary Python objects is a different job from data formats, so Serialization splits into Data Formats and Object Pickling.

Co-Authored-By: Claude <noreply@anthropic.com>
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Vinta Chen
2026-10-16 17:26:44 +08:00
co-authored by Claude
parent 3f6ed15ba9
commit 7de9a00a67
1 changed files with 7 additions and 4 deletions
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@@ -504,10 +504,13 @@ _Libraries and software for indexing and performing search queries on data._
_Libraries for serializing complex data types._
- [msgpack](https://github.com/msgpack/msgpack-python) - MessagePack serializer implementation for Python.
- [orjson](https://github.com/ijl/orjson) - Fast, correct JSON library.
- [marshmallow](https://github.com/marshmallow-code/marshmallow) - A lightweight library for converting complex objects to and from simple Python datatypes.
- [msgspec](https://github.com/msgspec/msgspec) - A fast serialization and validation library with built-in support for JSON, MessagePack, YAML, and TOML.
- Data Formats
- [msgpack](https://github.com/msgpack/msgpack-python) - MessagePack serializer implementation for Python.
- [orjson](https://github.com/ijl/orjson) - Fast, correct JSON library.
- [marshmallow](https://github.com/marshmallow-code/marshmallow) - A lightweight library for converting complex objects to and from simple Python datatypes.
- [msgspec](https://github.com/msgspec/msgspec) - A fast serialization and validation library with built-in support for JSON, MessagePack, YAML, and TOML.
- Object Pickling
- [cloudpickle](https://github.com/cloudpipe/cloudpickle) - Extends pickle to functions, lambdas, and interactively defined classes, for shipping code to remote workers.
**Data & Science**