dataclasses-json

PyPI v0.6.7

18,682,772 weekly downloads · MIT · 2 Dependencies

Source data as of:

Summary

Easily serialize dataclasses to and from JSON.

Install pip install dataclasses-json

Registry values

Reproduced verbatim from the official registry, with the source named on each value.

Weekly downloads 18,682,772 Source: PyPI (Python Package Index)
Releases 77 Last release: 2024-06-09 Source: PyPI (Python Package Index)
Dependencies 2 Source: PyPI (Python Package Index)

Description

Easily serialize dataclasses to and from JSON.

Registry-supplied description, cleaned to plain text. Source: PyPI (Python Package Index).

Package details

Package
dataclasses-json
Registry
PyPI
Version
0.6.7
Weekly downloads
18,682,772 (weekly)
License
MIT
Dependencies
2: marshmallow, typing-inspect
Releases
77
Last release
2024-06-09
First published
2018-04-21
Homepage
https://github.com/lidatong/dataclasses-json
Repository
https://github.com/lidatong/dataclasses-json

Why a field shows "—": A dash means the value is not published by the source registry for that package. Quanteta never fills in a guessed value — a missing field stays blank.

Derived indices (computation method published)

Quanteta-computed from the registry values below. This is a derived index, not a measured registry metric. See the formula on the Data & Sources page.

Q-Vitality Quanteta 39.1 / 100 Maintenance activity index (release cadence + download level).
Q-Trust Quanteta 11.5 / 100 Adoption / stability index (community size + download stability + age).
Q-Risk Quanteta 73.2 / 100 Dependency-surface index. Higher = more risk factors detected.

Data & Sources