Performance

This library is written in Cython for a better performance than a pure-Python implementation could give you.

Decoder Performance

The library has about the same speed as the shipped json module for pure JSON data.

• Dataset: https://github.com/zemirco/sf-city-lots-json

• Version: Python 3.9.1+ (default, Feb 5 2021, 13:46:56)

• CPU: AMD Ryzen 7 2700 @ 3.7GHz

• pyjson5.decode(): 2.08 s ± 7.49 ms per loop (lower is better)

• json.loads(): 2.71 s ± 12.1 ms per loop

• The decoder works correcty: json.loads(content) == pyjson5.loads(content)

Encoder Performance

The encoder generates pure JSON data if there are no infinite or NaN values in the input, which are invalid in JSON. The serialized data is XML-safe, i.e. there are no cheverons <>, ampersands &, apostrophes ' or control characters in the output. The output is always ASCII regardless if you call pyjson5.encode() or pyjson5.encode_bytes().

• Dataset: https://github.com/zemirco/sf-city-lots-json

• Version: 3.9.1 (default, Dec 8 2020, 07:51:42)

• CPU: AMD Ryzen 7 2700 @ 3.7GHz

• pyjson5.encode(): 3.21 s ± 25.1 per loop (lower is better)

• json.dumps(): 3.82 s ± 20.4 ms per loop

• json.dumps() + xml.sax.saxutils.escape(): 3.95 s ± 18.3 ms per loop

• The encoder works correcty: obj == json.loads(pyjson5.encode(obj, floatformat='%.16e'))