jsonxplode 1.0.0

Efficient JSON flattening for complex nested structures

jsonxplode Efficient JSON flattening for complex nested structures

Python 3.6+ | MIT License | Zero Dependencies

jsonxplode converts nested JSON structures into flat tabular format while preserving all data, including complex nested arrays and objects with arbitrary depth.

Installation BASH pip install jsonxplode Usage PYTHON from jsonxplode import flatten

Handles any JSON structure

data = { "users": [ {"profile": {"name": "John", "settings": {"theme": "dark"}}}, {"profile": {"name": "Jane", "settings": {"theme": "light"}}} ] }

flattened_data = flatten(data)

Returns: [{'users.profile.name': 'John', 'users.profile.settings.theme': 'dark'},

{'users.profile.name': 'Jane', 'users.profile.settings.theme': 'light'}]

Optional: DataFrame Output PYTHON from jsonxplode import to_dataframe

Requires pandas to be installed separately

df = to_dataframe(data) Note: to_dataframe requires pandas (pip install pandas) but the core flatten function has zero dependencies.

Features Arbitrary nesting depth - handles deeply nested objects and arrays Conflict resolution - automatically manages key path conflicts Memory efficient - processes large datasets with minimal overhead Zero dependencies - pure Python implementation (core function) Array expansion - properly handles nested arrays with row duplication Performance 7,900 rows with 23 column processed in 0.146 seconds Memory usage: ~46MB for previously mentioned workload