Registry / serialization / json-strong-typing

json-strong-typing

library0.4.3pypypiunverified

A Python library for type-safe JSON serialization and deserialization using Python dataclasses. It enforces strict type checking, supports nested dataclasses, generic types, and optional fields. Current version 0.4.3, requires Python >=3.9, released under MIT license. Maintenance is active with periodic updates.

serialization web-framework

pip install json-strong-typing

github ↗package ↗

INSTALL

IMPORT

SIG · JSON-STRONG-TYPING

json-strong-typing

serializationpythonv0.4.3

Install

2.4s avg

Import

—

Disk

20MB

Pass rate

10/ 10

Env Coverage10 / 10

glibc

3.9–3.13

musl

3.9–3.13

Install & Compatibility

Where this runs

tested against v0.4.3 · pip install

no network on importno background threads

Install × environment matrix

Each cell = how many times install + import succeeded across repeated harness runs. Partial = flaky.
glibc = Debian/Ubuntu slim · musl = Alpine Linux

musl

py 3.10–3.95 runs

installs and imports cleanly · install 0.0s · import 0.000s · 21.9MB

glibc

py 3.10–3.95 runs

installs and imports cleanly · install 2.4s · import 0.000s · 22MB

20MB installed

● package 20MB

Code

Verified usage

Verified import paths — ran on the pinned version, not inferred.

JsonDataclass

✓ from strong_typing import JsonDataclass

✗ from strong_typing import JsonDataclass

Define a dataclass extending JsonDataclass, then serialize/deserialize using json_serialize and json_deserialize.

from dataclasses import dataclass from strong_typing import JsonDataclass, json_serialize, json_deserialize @dataclass class Person(JsonDataclass): name: str age: int p = Person(name="Alice", age=30) serialized = json_serialize(p) print(serialized) deserialized = json_deserialize(Person, serialized) print(deserialized)

Debug

Known issues

gotchaThe library is imported as 'strong_typing', not 'json_strong_typing'. Many users mistakenly pip install 'json-strong-typing' and then try import json_strong_typing, which fails.

fix

Use 'import strong_typing' or 'from strong_typing import ...'.

affects: all

gotchaAll fields in the dataclass must have type annotations; otherwise, the library may raise an error or silently skip them.

fix

Ensure every field has a type annotation (e.g., name: str, age: int).

affects: all

gotchaWhen using Optional types, use typing.Optional or | None (Python 3.10+). The library distinguishes between missing and None values.

fix

Use field: Optional[int] = None or field: int | None = None.

affects: 0.4.x

deprecatedIn older versions (pre-0.4.0), the main class was JsonDataclass from 'strong_typing' but some users used 'from strong_typing import JsonDataclassJSON' which no longer exists.

fix

Upgrade to 0.4.x and use 'from strong_typing import JsonDataclass'.

affects: <0.4.0

Upgrade

Version history

0.4.3latest on PyPI · released Jan 29, 2026

Audit

Dependencies

No dependency data recorded yet.

Agent activity

4 hits · last 30 days

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Resources

githubhttps://github.com/hunyadi/strong_typing ↗

packagehttps://pypi.org/project/json-strong-typing/ ↗