MrJSON is a JSON encoder and decoder written in C/C++ with bindings for Python 2.5+ and 3. I needed faster performance for long strings and floats and MrJSON benchmarks at 2-3 times faster than the fastest python parsers for my use cases.
To install it just run Pip as usual:
$ pip install mrjsonMay be used as a replacement for json
>>> import mrjson as json
>>> json.dumps([{"key": "value"}, 81, True])
'[{"key":"value"},81,true]'
>>> json.loads("""[{"key": "value"}, 81, true]""")
[{'key': 'value'}, 81, True]ensure_ascii defaults to true in the base json module, but defaults to false here for space and performance reasons.
indent, separators, and sortKeys are not supported as pretty printing doesn't need the performance. Write an issue if you have a use case.
allow_nan is unsupported as NaN and infinity are supported by default.
Custom objects are supported if they implement an json() method returning a valid json string.
Benchmark your own files as results can vary significantly:
$ python -m timeit -s "import mrjson as json;st = open('canada.json').read();" "json.loads(st)"
100 loops, best of 3: 8.05 msec per loop
$ python -m timeit -s "import json;st = open('canada.json').read();" "json.loads(st)"
10 loops, best of 3: 32.7 msec per loop
Or run bench.py to test MrJSON against some other modules. MrJSON does particularly well decoding long strings and floating point numbers thanks to intel's AVX2 instructions and Milo Yip at Tencent for publishing C++ code implementing Florian Loitsch's float to string algorithms.
Only 128 byte long strings.
Mostly floating point numbers - canada.json from The Native JSON Benchmark, the fastest C++ JSON parser comes in at 7.9 milliseconds on this machine for comparison
A single tweet from twitter - twit.json
citm_catalog.json from The Native JSON Benchmark
Only 128 byte long strings.
Mostly floating point numbers - canada.json from The Native JSON Benchmark
A single tweet from twitter - twit.json
citm_catalog.json from The Native JSON Benchmark
