## MrJSON
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:
```sh
$ pip install mrjson
```
## Usage
May be used as a replacement for json
```python
>>> import mrjson as json
>>> json.dumps([{"key": "value"}, 81, True])
'[{"key":"value"},81,true]'
>>> json.loads("""[{"key": "value"}, 81, true]""")
[{'key': 'value'}, 81, True]
```
## Encoder differences
**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.
## Benchmarks
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](https://github.com/Tencent/rapidjson) for publishing C++ code implementing Florian Loitsch's float to string algorithms.
#### Loads
Only 128 byte long strings.
<img src="bench/png/str128-2.png" width="40%" />
Mostly floating point numbers - canada.json from [The Native JSON Benchmark](https://github.com/miloyip/nativejson-benchmark), the fastest C++ JSON parser comes in at 7.9 milliseconds on this machine for comparison
<img src="bench/png/canada-loads.png" width="40%" />
A single tweet from twitter - twit.json
<img src="bench/png/twit-loads.png" width="40%" />
citm_catalog.json from [The Native JSON Benchmark](https://github.com/miloyip/nativejson-benchmark)
<img src="bench/png/citm-catalog-loads.png" width="40%" />
#### Dumps
Only 128 byte long strings.
<img src="bench/png/str128-dumps.png" width="40%" />
Mostly floating point numbers - canada.json from [The Native JSON Benchmark](https://github.com/miloyip/nativejson-benchmark)
<img src="bench/png/canada-dumps.png" width="40%" />
A single tweet from twitter - twit.json
<img src="bench/png/twit-dumps.png" width="40%" />
citm_catalog.json from [The Native JSON Benchmark](https://github.com/miloyip/nativejson-benchmark)
<img src="bench/png/citm-catalog-dumps.png" width="40%" />
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