I built it after repeatedly running into friction with Python’s built-in json module when working with classes, dataclasses, nested objects, and type hints.
Jsonic focuses on:
- Zero-boilerplate serialization and deserialization
- Strict type validation with clear errors
- Natural support for dataclasses, enums, tuples, sets, nested objects etc.
- Optional field exclusion (e.g. hiding sensitive data)
- Extra features like transient fields definition, suport for __slots__ classes etc.
- Clean interop with Pydantic models
The goal is to make JSON round-tripping feel Pythonic and predictable without writing to_dict() / from_dict() everywhere.
I’d really appreciate feedback on the API design and tradeoffs.
orrbenyamini•2h ago
I built it after repeatedly running into friction with Python’s built-in json module when working with classes, dataclasses, nested objects, and type hints.
Jsonic focuses on: - Zero-boilerplate serialization and deserialization - Strict type validation with clear errors - Natural support for dataclasses, enums, tuples, sets, nested objects etc. - Optional field exclusion (e.g. hiding sensitive data) - Extra features like transient fields definition, suport for __slots__ classes etc. - Clean interop with Pydantic models
The goal is to make JSON round-tripping feel Pythonic and predictable without writing to_dict() / from_dict() everywhere.
I’d really appreciate feedback on the API design and tradeoffs.