Python 2.6 JSON decoding performance
The new Yajl - Yet Another JSON Library is very fast.
yajl serialize: 0.180 deserialize: 0.182 total: 0.362
simplejson serialize: 0.840 deserialize: 0.490 total: 1.331
stdlib json serialize: 2.812 deserialize: 8.725 total: 11.537
You can compare the libraries yourself.
Update: UltraJSON is even faster.
It may vary by platform, but the builtin json module is based on simplejson, not including the C speedups. I've found simplejson to be as a fast as python-cjson anyway, so I prefer it since it obviously has the same interface as the builtin.
try:
import simplejson as json
except ImportError:
import json
Seems to me that's the best idiom for awhile, yielding the performance when available while being forwards-compatible.
I was parsing the same file 10x. File size was 1,856,944 bytes.
Python 2.6:
yajl serialize: 0.294 deserialize: 0.334 total: 0.627
cjson serialize: 0.494 deserialize: 0.276 total: 0.769
simplejson serialize: 0.554 deserialize: 0.268 total: 0.823
stdlib json serialize: 3.917 deserialize: 17.508 total: 21.425
Python 2.7:
yajl serialize: 0.289 deserialize: 0.312 total: 0.601
cjson serialize: 0.232 deserialize: 0.254 total: 0.486
simplejson serialize: 0.288 deserialize: 0.253 total: 0.540
stdlib json serialize: 0.273 deserialize: 0.256 total: 0.528
Not sure why numbers are disproportionate from your results. I guess, newer libraries?