Test with jemalloc using the shell script "python.jemalloc":
---
#!/bin/sh
LD_PRELOAD=/usr/lib64/libjemalloc.so /home/haypo/prog/python/default/python "$@"
---

Memory consumption:
python3 -u perf.py -m ../default/python ../default/python.jemalloc

Report on Linux smithers 4.3.3-300.fc23.x86_64 #1 SMP Tue Jan 5 23:31:01 UTC 2016 x86_64 x86_64
Total CPU cores: 8

### 2to3 ###
Mem max: 43100.000 -> 220.000: 195.9091x smaller

### chameleon_v2 ###
Mem max: 367276.000 -> 224.000: 1639.6250x smaller

### django_v3 ###
Mem max: 24136.000 -> 284.000: 84.9859x smaller

### fastpickle ###
Mem max: 8692.000 -> 284.000: 30.6056x smaller

### fastunpickle ###
Mem max: 8704.000 -> 216.000: 40.2963x smaller

### json_dump_v2 ###
Mem max: 10448.000 -> 216.000: 48.3704x smaller

### json_load ###
Mem max: 8444.000 -> 220.000: 38.3818x smaller

### nbody ###
Mem max: 7388.000 -> 220.000: 33.5818x smaller

### regex_v8 ###
Mem max: 12764.000 -> 220.000: 58.0182x smaller

### tornado_http ###
Mem max: 28216.000 -> 228.000: 123.7544x smaller



****

Performance:

Report on Linux smithers 4.3.3-300.fc23.x86_64 #1 SMP Tue Jan 5 23:31:01 UTC 2016 x86_64 x86_64
Total CPU cores: 8

### 2to3 ###
7.413484 -> 7.189792: 1.03x faster

### chameleon_v2 ###
Min: 5.559697 -> 5.869468: 1.06x slower
Avg: 5.672448 -> 6.033152: 1.06x slower
Significant (t=-13.67)
Stddev: 0.12098 -> 0.14203: 1.1740x larger

### nbody ###
Min: 0.242194 -> 0.229747: 1.05x faster
Avg: 0.244991 -> 0.235297: 1.04x faster
Significant (t=9.75)
Stddev: 0.00262 -> 0.00652: 2.4861x larger

### regex_v8 ###
Min: 0.042532 -> 0.046920: 1.10x slower
Avg: 0.043249 -> 0.047907: 1.11x slower
Significant (t=-13.23)
Stddev: 0.00180 -> 0.00172: 1.0503x smaller

### tornado_http ###
Min: 0.265755 -> 0.274526: 1.03x slower
Avg: 0.273617 -> 0.284186: 1.04x slower
Significant (t=-6.67)
Stddev: 0.00583 -> 0.01474: 2.5297x larger

The following not significant results are hidden, use -v to show them:
django_v3, fastpickle, fastunpickle, json_dump_v2, json_load.