Summary Data - Full Data [10 Jul 2019 u64q n]

name,lang,id,n,size(B),cpu(s),mem(KB),status,load,elapsed(s) [10 Jul 2019 u64q n]
binary-trees,Pyston,1,14,743,1.916,169100,0,74% 93% 73% 71%,0.622
binary-trees,Pyston,1,14,743,1.958,172728,0,68% 88% 71% 67%,0.723
binary-trees,Pyston,1,14,743,1.945,169224,0,69% 67% 94% 70%,0.653
binary-trees,Python dev,7,14,741,3.162,54360,0,89% 85% 94% 85%,0.93
binary-trees,Python dev,7,14,741,3.143,55884,0,89% 86% 84% 91%,0.926
binary-trees,Python dev,7,14,741,3.173,57616,0,89% 87% 88% 88%,0.926
binary-trees,Python 3,1,14,706,3.276,64672,0,90% 86% 90% 87%,0.964
binary-trees,Python 3,1,14,706,3.252,61568,0,90% 88% 86% 94%,0.957
binary-trees,Python 3,1,14,706,3.267,62884,0,88% 88% 85% 94%,0.957
binary-trees,Nuitka,1,14,706,2.675,63896,0,86% 88% 95% 85%,0.772
binary-trees,Nuitka,1,14,706,2.692,62928,0,96% 85% 85% 81%,0.795
binary-trees,Nuitka,1,14,706,2.670,66152,0,87% 85% 88% 91%,0.761
binary-trees,Python 2,1,14,743,3.850,60452,0,79% 87% 86% 80%,1.196
binary-trees,Python 2,1,14,743,3.816,59484,0,81% 91% 82% 80%,1.185
binary-trees,Python 2,1,14,743,3.767,58912,0,91% 82% 83% 88%,1.19
binary-trees,PyPy 3,7,14,741,2.036,132552,0,77% 38% 42% 40%,1.105
binary-trees,PyPy 3,7,14,741,1.989,120176,0,42% 41% 85% 41%,0.998
binary-trees,PyPy 3,7,14,741,2.009,135940,0,44% 41% 79% 41%,1.05
binary-trees,Numba,1,14,702,3.931,73772,0,85% 91% 83% 83%,1.157
binary-trees,Numba,1,14,702,4.003,63976,0,77% 78% 91% 79%,1.238
binary-trees,Numba,1,14,702,3.986,64276,0,78% 78% 79% 90%,1.226
binary-trees,PyPy,1,14,743,1.835,86728,0,42% 46% 49% 66%,1.101
binary-trees,PyPy,1,14,743,1.817,356408,0,51% 52% 59% 70%,0.825
binary-trees,PyPy,1,14,743,1.824,365712,0,47% 55% 73% 56%,0.83
chameneos-redux,Nuitka,2,6000000,1191,308.687,9920,0,46% 49% 47% 48%,147.542
chameneos-redux,Python 3,2,6000000,1191,166.347,8820,0,51% 46% 41% 46%,96.299
chameneos-redux,PyPy,1,6000000,1192,130.702,75848,0,40% 43% 43% 55%,64.821
chameneos-redux,PyPy 3,1,6000000,1191,145.753,67328,0,45% 47% 40% 45%,74.327
chameneos-redux,Python dev,2,6000000,1191,305.549,7840,0,49% 45% 46% 46%,153.757
chameneos-redux,Python 2,1,6000000,1192,152.780,7100,0,44% 45% 42% 39%,83.773
chameneos-redux,MicroPython,2,6000000,1191,105.969,4596,0,47% 35% 59% 52%,49.129
chameneos-redux,MicroPython,2,6000000,1191,103.085,4628,0,62% 32% 61% 42%,46.57
chameneos-redux,MicroPython,2,6000000,1191,105.224,4632,0,44% 39% 56% 55%,47.941
chameneos-redux,Cython,1,6000000,1203,272.341,8500,0,49% 46% 46% 45%,136.983
chameneos-redux,Pyston,1,6000000,1192,106.639,66884,0,31% 34% 26% 36%,58.296
chameneos-redux,Pyston,1,6000000,1192,105.826,70824,0,29% 35% 29% 36%,57.43
chameneos-redux,Pyston,1,6000000,1192,105.627,68732,0,32% 34% 27% 36%,56.976
fannkuch-redux,PyPy 3,1,10,1271,3.284,78420,0,93% 67% 61% 60%,1.291
fannkuch-redux,PyPy 3,1,10,1271,3.311,78568,0,85% 63% 58% 65%,1.296
fannkuch-redux,PyPy 3,1,10,1271,3.305,78356,0,57% 57% 89% 58%,1.31
fannkuch-redux,Python 3,3,10,894,11.829,52828,0,97% 96% 90% 97%,3.461
fannkuch-redux,Python 3,3,10,894,11.920,53056,0,94% 95% 93% 96%,3.676
fannkuch-redux,Python 3,3,10,894,12.112,52808,0,96% 93% 93% 95%,3.663
fannkuch-redux,Python dev,3,10,894,13.230,47140,0,98% 98% 92% 99%,3.503
fannkuch-redux,Python dev,3,10,894,13.258,46752,0,99% 95% 96% 97%,3.513
fannkuch-redux,Python dev,3,10,894,13.362,46800,0,98% 98% 93% 99%,3.528
fannkuch-redux,Nuitka,4,10,1069,10.923,56904,0,96% 97% 98% 93%,2.865
fannkuch-redux,Nuitka,4,10,1069,10.956,58284,0,98% 93% 98% 96%,2.864
fannkuch-redux,Nuitka,4,10,1069,11.068,57416,0,93% 95% 92% 95%,2.977
fannkuch-redux,Pyston,1,10,1009,10.347,158560,0,95% 93% 99% 94%,2.726
fannkuch-redux,Pyston,1,10,1009,10.384,157872,0,92% 89% 95% 91%,2.831
fannkuch-redux,Pyston,1,10,1009,10.416,157584,0,87% 90% 89% 96%,2.891
fannkuch-redux,MicroPython,6,10,552,8.924,4244,0,1% 59% 0% 42%,8.936
fannkuch-redux,MicroPython,6,10,552,8.527,4260,0,0% 0% 0% 100%,8.54
fannkuch-redux,MicroPython,6,10,552,8.553,4220,0,0% 100% 1% 1%,8.561
fannkuch-redux,Graal,6,10,552,3.392,421692,0,11% 56% 23% 36%,2.933
fannkuch-redux,Graal,6,10,552,3.384,421504,0,14% 1% 10% 99%,2.916
fannkuch-redux,Graal,6,10,552,3.413,421592,0,11% 2% 11% 100%,2.93
fannkuch-redux,Python 2,1,10,1009,16.296,43292,0,96% 95% 94% 95%,4.369
fannkuch-redux,Python 2,1,10,1009,16.545,41932,0,97% 98% 96% 96%,4.365
fannkuch-redux,Python 2,1,10,1009,17.084,43620,0,97% 96% 98% 97%,4.645
fannkuch-redux,PyPy,1,10,1009,2.758,296676,0,78% 94% 74% 71%,0.897
fannkuch-redux,PyPy,1,10,1009,2.790,296704,0,75% 81% 77% 95%,0.875
fannkuch-redux,PyPy,1,10,1009,2.808,297700,0,78% 78% 94% 78%,0.872
fasta,Python dev,5,2500000,2016,7.477,103876,0,35% 32% 73% 59%,3.978
fasta,Python dev,5,2500000,2016,7.503,101916,0,24% 27% 86% 62%,3.989
fasta,Python dev,5,2500000,2016,7.573,103412,0,23% 57% 75% 44%,4.004
fasta,Cython,1,2500000,945,4.192,8660,0,13% 8% 100% 10%,4.199
fasta,Cython,1,2500000,945,4.047,8436,0,8% 6% 100% 7%,4.052
fasta,Cython,1,2500000,945,4.035,8516,0,6% 1% 100% 1%,4.041
fasta,Python 2,1,2500000,900,6.855,13316,0,15% 2% 88% 3%,6.867
fasta,Python 2,1,2500000,900,6.546,13516,0,2% 3% 2% 100%,6.552
fasta,Python 2,1,2500000,900,6.641,13444,0,3% 100% 4% 4%,6.649
fasta,Pyston,1,2500000,900,4.624,33028,0,100% 0% 0% 0%,4.625
fasta,Pyston,1,2500000,900,4.610,32988,0,100% 0% 0% 0%,4.611
fasta,Pyston,1,2500000,900,4.632,32960,0,0% 26% 0% 74%,4.634
fasta,Graal,1,2500000,904,320.185,423356,0,52% 52% 67% 63%,143.036
fasta,Python 3,5,2500000,2016,9.469,89800,0,68% 59% 51% 68%,4.503
fasta,Python 3,5,2500000,2016,9.559,89232,0,54% 75% 75% 48%,4.496
fasta,Python 3,5,2500000,2016,10.165,90448,0,70% 79% 66% 51%,4.9
fasta,PyPy 3,4,2500000,1698,1.956,68952,0,41% 4% 60% 3%,1.978
fasta,PyPy 3,4,2500000,1698,1.891,68972,0,7% 2% 93% 6%,1.911
fasta,PyPy 3,4,2500000,1698,1.889,68808,0,3% 99% 1% 3%,1.909
fasta,PyPy,1,2500000,900,2.623,80640,0,2% 6% 99% 1%,2.645
fasta,PyPy,1,2500000,900,2.528,80204,0,68% 6% 33% 1%,2.55
fasta,PyPy,1,2500000,900,2.538,80688,0,74% 29% 1% 1%,2.586
fasta,Jython,1,2500000,900,25.948,299620,0,21% 45% 29% 24%,21.926
fasta,Jython,1,2500000,900,24.755,305304,0,41% 22% 27% 28%,20.912
fasta,Jython,1,2500000,900,25.402,316384,0,31% 32% 36% 20%,21.244
fasta,Nuitka,5,2500000,2016,9.848,104576,0,66% 70% 72% 36%,4.225
fasta,Nuitka,5,2500000,2016,9.477,90512,0,58% 55% 55% 67%,4.091
fasta,Nuitka,5,2500000,2016,9.746,76076,0,77% 64% 67% 27%,4.206
fasta,MicroPython,1,2500000,904,22.706,4516,0,0% 0% 22% 78%,22.743
fasta,MicroPython,1,2500000,904,21.980,4452,0,0% 100% 0% 0%,21.998
fasta,MicroPython,1,2500000,904,21.939,4660,0,11% 0% 89% 0%,21.955
fasta-redux,PyPy 3,7,2500000,1115,0.267,1136,0,66% 10% 4% 29%,0.286
fasta-redux,PyPy 3,7,2500000,1115,0.246,1112,0,4% 100% 4% 4%,0.247
fasta-redux,PyPy 3,7,2500000,1115,0.248,1112,0,4% 0% 4% 100%,0.25
fasta-redux,Python dev,1,2500000,1115,0.279,1956,0,4% 7% 96% 0%,0.281
fasta-redux,Python dev,1,2500000,1115,0.249,1828,0,4% 100% 0% 0%,0.251
fasta-redux,Python dev,1,2500000,1115,0.251,1820,0,12% 100% 0% 0%,0.252
fasta-redux,PyPy,1,2500000,1115,0.239,1420,0,4% 8% 96% 4%,0.259
fasta-redux,PyPy,1,2500000,1115,0.223,1344,0,5% 5% 0% 96%,0.225
fasta-redux,PyPy,1,2500000,1115,0.217,1360,0,100% 5% 0% 0%,0.218
fasta-redux,Cython,1,2500000,1169,0.179,0,0,12% 0% 95% 6%,0.181
fasta-redux,Cython,1,2500000,1169,0.156,0,0,7% 0% 100% 0%,0.157
fasta-redux,Cython,1,2500000,1169,0.152,0,0,7% 0% 0% 100%,0.153
fasta-redux,Nuitka,7,2500000,1115,0.288,1656,0,3% 3% 97% 0%,0.289
fasta-redux,Nuitka,7,2500000,1115,0.266,1752,0,0% 0% 100% 0%,0.267
fasta-redux,Nuitka,7,2500000,1115,0.265,1692,0,0% 0% 96% 4%,0.266
fasta-redux,Python 3,1,2500000,1115,0.356,908,0,31% 23% 100% 9%,0.359
fasta-redux,Python 3,1,2500000,1115,0.285,888,0,4% 100% 0% 4%,0.286
fasta-redux,Python 3,1,2500000,1115,0.286,1776,0,10% 3% 100% 3%,0.288
fib50,Cython,1,1000000,159,0.855,8908,0,6% 1% 100% 1%,0.857
fib50,Cython,1,1000000,159,0.803,8600,0,7% 100% 1% 1%,0.805
fib50,Cython,1,1000000,159,0.829,8768,0,5% 0% 100% 1%,0.831
fib50,Numba,1,1000000,152,1.328,73672,0,0% 0% 99% 1%,1.328
fib50,Numba,1,1000000,152,1.343,73220,0,1% 1% 99% 0%,1.343
fib50,Numba,1,1000000,152,1.338,73180,0,0% 1% 0% 100%,1.338
fib50,MicroPython,1,1000000,136,6.274,4100,0,2% 0% 0% 100%,6.283
fib50,MicroPython,1,1000000,136,4.646,4100,0,100% 0% 0% 0%,4.65
fib50,MicroPython,1,1000000,136,4.642,4100,0,0% 1% 0% 100%,4.648
fib50,Nuitka,1,1000000,136,4.588,10332,0,1% 0% 1% 100%,4.593
fib50,Nuitka,1,1000000,136,4.554,10040,0,38% 27% 39% 2%,4.564
fib50,Nuitka,1,1000000,136,4.614,10284,0,1% 100% 1% 1%,4.619
fib50,PyPy 3,1,1000000,136,0.869,71416,0,2% 1% 98% 3%,0.89
fib50,PyPy 3,1,1000000,136,0.849,71588,0,2% 1% 2% 100%,0.852
fib50,PyPy 3,1,1000000,136,0.842,71556,0,4% 100% 2% 1%,0.845
fib50,Python 3,1,1000000,136,3.342,8880,0,11% 5% 5% 99%,3.348
fib50,Python 3,1,1000000,136,3.437,8964,0,12% 8% 11% 100%,3.444
fib50,Python 3,1,1000000,136,3.743,8908,0,37% 26% 33% 100%,3.752
fib50,Python dev,1,1000000,136,3.308,7672,0,39% 1% 60% 7%,3.369
fib50,Python dev,1,1000000,136,3.243,7620,0,7% 100% 1% 1%,3.247
fib50,Python dev,1,1000000,136,3.245,7852,0,5% 45% 1% 56%,3.249
fibonacci,Jython,3,1000000,181,4.768,272324,0,73% 84% 58% 36%,1.899
fibonacci,Jython,3,1000000,181,4.415,246336,0,79% 62% 61% 47%,1.775
fibonacci,Jython,3,1000000,181,4.567,255888,0,73% 69% 61% 51%,1.803
fibonacci,Python 3,3,1000000,182,0.672,9420,0,4% 9% 100% 10%,0.675
fibonacci,Python 3,3,1000000,182,0.670,9284,0,9% 1% 100% 5%,0.673
fibonacci,Python 3,3,1000000,182,0.670,9364,0,5% 100% 6% 2%,0.672
fibonacci,PyPy,3,1000000,181,0.258,1416,0,0% 7% 0% 93%,0.275
fibonacci,PyPy,3,1000000,181,0.257,1412,0,0% 4% 100% 0%,0.259
fibonacci,PyPy,3,1000000,181,0.258,1424,0,100% 8% 0% 0%,0.26
fibonacci,Nuitka,3,1000000,182,0.678,10468,0,0% 100% 1% 1%,0.68
fibonacci,Nuitka,3,1000000,182,0.680,10344,0,1% 3% 4% 100%,0.682
fibonacci,Nuitka,3,1000000,182,0.677,10300,0,0% 100% 1% 0%,0.679
fibonacci,MicroPython,3,1000000,182,81.743,3180,0,0% 0% 100% 0%,81.79
fibonacci,MicroPython,3,1000000,182,81.745,3084,0,0% 0% 0% 100%,81.823
fibonacci,MicroPython,3,1000000,182,81.744,3184,0,4% 0% 96% 0%,81.79
fibonacci,Python 2,3,1000000,181,0.669,7284,0,99% 2% 3% 6%,0.671
fibonacci,Python 2,3,1000000,181,0.666,7384,0,12% 2% 6% 100%,0.669
fibonacci,Python 2,3,1000000,181,0.666,7240,0,1% 100% 3% 0%,0.667
fibonacci,Pyston,3,1000000,181,0.059,0,0,0% 0% 0% 100%,0.06
fibonacci,Pyston,3,1000000,181,0.059,0,0,14% 0% 0% 100%,0.06
fibonacci,Pyston,3,1000000,181,0.059,0,0,0% 0% 0% 100%,0.06
fibonacci,Python dev,3,1000000,182,0.666,8360,0,11% 12% 100% 6%,0.668
fibonacci,Python dev,3,1000000,182,0.665,8396,0,13% 10% 100% 10%,0.667
fibonacci,Python dev,3,1000000,182,0.664,8256,0,14% 8% 11% 100%,0.666
fibonacci,Grumpy,2,1000000,110,38.805,550940,0,71% 69% 67% 68%,15.903
fibonacci,Grumpy,2,1000000,110,39.459,519192,0,65% 71% 63% 66%,15.778
fibonacci,Grumpy,2,1000000,110,38.552,498660,0,65% 71% 65% 64%,15.392
fibonacci,PyPy 3,3,1000000,182,0.261,1136,0,4% 100% 0% 0%,0.264
fibonacci,PyPy 3,3,1000000,182,0.262,1116,0,0% 100% 4% 4%,0.264
fibonacci,PyPy 3,3,1000000,182,0.262,1112,0,7% 0% 7% 100%,0.263
fibonacci,Graal,2,1000000,110,37.762,404236,0,8% 23% 3% 79%,37.804
fibonacci,Graal,2,1000000,110,38.116,404416,0,11% 1% 95% 1%,38.255
fibonacci,Graal,2,1000000,110,37.807,404428,0,6% 10% 2% 91%,37.847
fibonacci,Numba,1,1000000,160,1.198,75208,0,99% 0% 0% 0%,1.199
fibonacci,Numba,1,1000000,160,1.199,75420,0,99% 1% 1% 0%,1.199
fibonacci,Numba,1,1000000,160,1.200,74964,0,0% 1% 0% 100%,1.2
fibonacci,IronPython,3,1000000,181,5.861,53032,0,100% 0% 0% 0%,5.862
fibonacci,IronPython,3,1000000,181,5.864,55276,0,0% 100% 0% 0%,5.865
fibonacci,IronPython,3,1000000,181,5.863,50872,0,0% 0% 100% 0%,5.863
fibonacci,Cython,3,1000000,184,0.674,9044,0,9% 7% 100% 8%,0.676
fibonacci,Cython,3,1000000,184,0.673,8968,0,10% 7% 6% 100%,0.675
fibonacci,Cython,3,1000000,184,0.675,9172,0,9% 6% 100% 3%,0.677
iobench,Numba,1,1,384,4.821,79516,0,0% 0% 100% 0%,4.821
iobench,Numba,1,1,384,5.012,79572,0,0% 96% 0% 4%,5.013
iobench,Numba,1,1,384,4.880,80276,0,0% 0% 100% 0%,4.881
iobench,Python 3,1,1,367,5.582,8556,0,34% 34% 24% 93%,5.756
iobench,Python 3,1,1,367,5.324,8440,0,16% 12% 100% 12%,5.337
iobench,Python 3,1,1,367,5.487,8472,0,25% 23% 100% 18%,5.502
iobench,PyPy 3,1,1,367,19.268,76544,0,2% 66% 3% 37%,19.295
iobench,PyPy 3,1,1,367,19.144,76884,0,2% 2% 2% 100%,19.183
iobench,PyPy 3,1,1,367,19.145,76896,0,2% 2% 100% 4%,19.191
iobench,Python dev,1,1,367,5.057,7848,0,5% 19% 1% 82%,5.063
iobench,Python dev,1,1,367,5.317,7772,0,6% 1% 100% 1%,5.323
iobench,Python dev,1,1,367,5.255,7948,0,5% 1% 100% 1%,5.261
iobench,Nuitka,1,1,367,5.552,9864,0,1% 100% 1% 1%,5.556
iobench,Nuitka,1,1,367,5.539,9716,0,1% 100% 1% 1%,5.544
iobench,Nuitka,1,1,367,5.531,9652,0,92% 1% 9% 0%,5.538
iobench,PyPy,1,1,370,23.890,86660,0,1% 5% 1% 100%,23.937
iobench,PyPy,1,1,370,23.808,86856,0,1% 5% 1% 100%,23.85
iobench,PyPy,1,1,370,23.929,86764,0,1% 5% 1% 100%,23.973
iobench,Cython,1,1,366,0.023,0,0,33% 0% 0% 100%,0.024
iobench,Cython,1,1,366,0.023,0,0,100% 0% 0% 0%,0.025
iobench,Cython,1,1,366,0.024,0,0,0% 0% 75% 33%,0.025
iobench,Python 2,1,1,370,36.665,6844,0,3% 100% 3% 2%,36.692
iobench,Python 2,1,1,370,36.460,6892,0,19% 12% 74% 3%,36.506
iobench,Python 2,1,1,370,37.394,6992,0,2% 100% 2% 3%,37.421
iobench,Pyston,1,1,370,20.144,26780,0,0% 4% 100% 8%,20.145
iobench,Pyston,1,1,370,20.117,26684,0,0% 61% 0% 39%,20.119
iobench,Pyston,1,1,370,20.339,26752,0,100% 0% 0% 0%,20.34
jsonbench,PyPy 3,1,1,322,1.467,75344,0,45% 56% 3% 2%,1.49
jsonbench,PyPy 3,1,1,322,1.430,75636,0,3% 99% 2% 1%,1.45
jsonbench,PyPy 3,1,1,322,1.476,75256,0,1% 3% 99% 1%,1.497
jsonbench,Nuitka,1,1,322,3.718,12312,0,1% 100% 1% 2%,3.723
jsonbench,Nuitka,1,1,322,3.537,13124,0,100% 1% 1% 1%,3.544
jsonbench,Nuitka,1,1,322,3.528,13356,0,1% 1% 1% 100%,3.533
jsonbench,Python dev,1,1,322,3.382,12312,0,7% 1% 100% 1%,3.391
jsonbench,Python dev,1,1,322,3.298,12264,0,5% 2% 1% 100%,3.303
jsonbench,Python dev,1,1,322,3.392,11968,0,6% 1% 100% 1%,3.399
jsonbench,PyPy,1,1,322,1.276,82804,0,1% 5% 98% 1%,1.3
jsonbench,PyPy,1,1,322,1.286,82788,0,3% 7% 98% 5%,1.305
jsonbench,PyPy,1,1,322,1.281,82484,0,2% 5% 99% 0%,1.299
jsonbench,Cython,1,1,323,3.348,11952,0,5% 100% 1% 2%,3.353
jsonbench,Cython,1,1,323,3.353,11804,0,6% 100% 2% 1%,3.358
jsonbench,Cython,1,1,323,3.487,11804,0,6% 1% 100% 1%,3.493
jsonbench,Python 2,1,1,322,4.469,16652,0,3% 2% 100% 3%,4.481
jsonbench,Python 2,1,1,322,4.480,16572,0,66% 2% 37% 3%,4.488
jsonbench,Python 2,1,1,322,4.562,17080,0,3% 100% 3% 3%,4.569
jsonbench,Pyston,1,1,322,26.686,41540,0,11% 0% 89% 0%,26.687
jsonbench,Pyston,1,1,322,26.459,42332,0,0% 79% 0% 22%,26.462
jsonbench,Pyston,1,1,322,26.462,41828,0,100% 0% 0% 0%,26.463
jsonbench,Python 3,1,1,322,3.561,11404,0,100% 5% 4% 4%,3.735
jsonbench,Python 3,1,1,322,3.625,11144,0,100% 5% 5% 9%,3.812
jsonbench,Python 3,1,1,322,3.615,12268,0,100% 5% 4% 5%,3.798
jsonbench,Jython,1,1,322,27.283,396084,0,44% 51% 69% 31%,14.102
jsonbench,Jython,1,1,322,22.942,336268,0,43% 29% 38% 58%,13.632
jsonbench,Jython,1,1,322,23.563,404840,0,41% 38% 41% 51%,13.911
k-nucleotide,Pyston,1,10000,593,0.122,0,0,0% 0% 0% 92%,0.124
k-nucleotide,Pyston,1,10000,593,0.097,0,0,22% 9% 80% 10%,0.1
k-nucleotide,Pyston,1,10000,593,0.096,0,0,100% 0% 0% 0%,0.097
k-nucleotide,Cython,1,10000,618,0.092,0,0,18% 0% 100% 10%,0.095
k-nucleotide,Cython,1,10000,618,0.091,0,0,20% 0% 0% 90%,0.092
k-nucleotide,Cython,1,10000,618,0.091,0,0,0% 0% 10% 100%,0.092
k-nucleotide,Nuitka,1,10000,594,0.106,0,0,0% 0% 100% 8%,0.108
k-nucleotide,Nuitka,1,10000,594,0.106,0,0,0% 100% 8% 8%,0.107
k-nucleotide,Nuitka,1,10000,594,0.105,0,0,0% 0% 0% 100%,0.106
k-nucleotide,Python 2,1,10000,593,0.078,0,0,0% 0% 0% 100%,0.08
k-nucleotide,Python 2,1,10000,593,0.078,0,0,0% 0% 0% 100%,0.08
k-nucleotide,Python 2,1,10000,593,0.079,0,0,100% 0% 0% 11%,0.081
k-nucleotide,Python dev,2,10000,801,0.111,0,0,40% 89% 10% 20%,0.092
k-nucleotide,Python dev,2,10000,801,0.097,0,0,86% 17% 29% 14%,0.068
k-nucleotide,Python dev,2,10000,801,0.089,0,0,17% 17% 71% 17%,0.068
k-nucleotide,PyPy,1,10000,593,0.132,0,0,100% 7% 0% 0%,0.135
k-nucleotide,PyPy,1,10000,593,0.108,0,0,0% 100% 0% 0%,0.115
k-nucleotide,PyPy,1,10000,593,0.109,0,0,100% 9% 9% 0%,0.111
k-nucleotide,Graal,1,10000,594,1.543,409252,0,82% 54% 19% 17%,1.042
k-nucleotide,Graal,1,10000,594,1.624,408876,0,21% 51% 87% 18%,1.062
k-nucleotide,Graal,1,10000,594,1.560,409552,0,42% 18% 62% 51%,1.045
k-nucleotide,Jython,1,10000,593,3.848,188480,0,81% 45% 63% 59%,1.611
k-nucleotide,Jython,1,10000,593,4.268,198752,0,67% 70% 65% 68%,1.8
k-nucleotide,Jython,1,10000,593,3.954,197900,0,66% 50% 61% 77%,1.664
k-nucleotide,Python 3,1,10000,594,0.127,0,0,8% 21% 83% 8%,0.129
k-nucleotide,Python 3,1,10000,594,0.115,0,0,8% 100% 0% 8%,0.116
k-nucleotide,Python 3,1,10000,594,0.119,0,0,100% 8% 14% 8%,0.126
k-nucleotide,PyPy 3,1,10000,594,0.155,0,0,6% 6% 0% 88%,0.173
k-nucleotide,PyPy 3,1,10000,594,0.138,0,0,77% 0% 23% 7%,0.14
k-nucleotide,PyPy 3,1,10000,594,0.138,0,0,100% 0% 7% 0%,0.139
k-nucleotide,IronPython,1,10000,593,1.195,71668,0,34% 11% 3% 39%,1.587
k-nucleotide,IronPython,1,10000,593,1.134,78304,0,3% 3% 52% 23%,1.551
k-nucleotide,IronPython,1,10000,593,1.146,80896,0,56% 4% 16% 3%,1.567
k-nucleotide,Shedskin,1,10000,593,0.064,0,0,0% 0% 0% 100%,0.049
k-nucleotide,Shedskin,1,10000,593,0.064,0,0,0% 40% 67% 20%,0.049
k-nucleotide,Shedskin,1,10000,593,0.064,0,0,0% 20% 0% 100%,0.049
mandelbrot,Python 3,6,16000,3832,74.084,181936,0,98% 98% 98% 99%,19.521
mandelbrot,Python 3,6,16000,3832,77.391,182904,0,98% 96% 98% 99%,20.82
mandelbrot,Python 3,6,16000,3832,79.284,182676,0,99% 96% 95% 98%,21.875
mandelbrot,Nuitka,6,16000,3832,82.295,11353692,0,99% 98% 97% 99%,21.263
mandelbrot,Nuitka,6,16000,3832,84.283,11336292,0,98% 98% 100% 98%,21.626
mandelbrot,Nuitka,6,16000,3832,85.115,11363216,0,99% 98% 99% 99%,21.778
mandelbrot,Python 2,6,16000,3832,75.628,176524,0,95% 100% 97% 96%,20.232
mandelbrot,Python 2,6,16000,3832,76.103,176744,0,99% 97% 97% 98%,20.043
mandelbrot,Python 2,6,16000,3832,76.504,176760,0,98% 98% 99% 98%,20.135
mandelbrot,Numba,6,16000,3865,80.001,100552,0,99% 97% 97% 99%,20.422
mandelbrot,Numba,6,16000,3865,80.208,100328,0,99% 97% 99% 98%,20.423
mandelbrot,Numba,6,16000,3865,80.031,100324,0,99% 98% 97% 98%,20.416
mandelbrot,Pyston,6,16000,3832,68.133,138712,0,94% 95% 97% 93%,18.047
mandelbrot,Pyston,6,16000,3832,68.369,129704,0,97% 95% 98% 97%,17.824
mandelbrot,Pyston,6,16000,3832,68.453,129816,0,98% 97% 97% 95%,17.751
meteor-contest,PyPy,2,2098,1485,0.889,85048,0,98% 6% 2% 2%,0.912
meteor-contest,PyPy,2,2098,1485,0.890,84904,0,1% 5% 0% 100%,0.893
meteor-contest,PyPy,2,2098,1485,0.892,84924,0,0% 7% 2% 100%,0.895
meteor-contest,Cython,3,2098,1334,3.578,11224,0,7% 1% 100% 1%,3.584
meteor-contest,Cython,3,2098,1334,3.517,11020,0,6% 96% 1% 4%,3.522
meteor-contest,Cython,3,2098,1334,3.559,11112,0,8% 1% 97% 1%,3.57
meteor-contest,Pyston,2,2098,1485,1.742,29972,0,3% 98% 0% 0%,1.744
meteor-contest,Pyston,2,2098,1485,1.743,28016,0,100% 0% 1% 0%,1.744
meteor-contest,Pyston,2,2098,1485,1.740,30156,0,0% 0% 99% 0%,1.741
meteor-contest,Python 2,2,2098,1485,2.643,7092,0,77% 2% 25% 1%,2.648
meteor-contest,Python 2,2,2098,1485,2.614,7132,0,1% 0% 1% 100%,2.617
meteor-contest,Python 2,2,2098,1485,2.644,7156,0,3% 100% 1% 2%,2.647
meteor-contest,Nuitka,2,2098,1443,2.758,10264,0,2% 100% 1% 1%,2.761
meteor-contest,Nuitka,2,2098,1443,2.713,10080,0,100% 2% 0% 1%,2.718
meteor-contest,Nuitka,2,2098,1443,2.698,10208,0,0% 1% 1% 100%,2.701
meteor-contest,Jython,2,2098,1485,12.661,311796,0,42% 41% 36% 48%,7.547
meteor-contest,Jython,2,2098,1485,13.334,319360,0,51% 40% 36% 46%,7.695
meteor-contest,Jython,2,2098,1485,12.506,307576,0,25% 40% 49% 55%,7.414
meteor-contest,Graal,2,2098,1443,15.409,660524,0,10% 70% 80% 59%,7.386
meteor-contest,Graal,2,2098,1443,18.894,754880,0,62% 68% 17% 65%,9.315
meteor-contest,Graal,2,2098,1443,16.884,712552,0,62% 56% 42% 53%,8.311
meteor-contest,Python dev,2,2098,1443,3.159,8096,0,6% 1% 2% 100%,3.164
meteor-contest,Python dev,2,2098,1443,3.199,8080,0,5% 1% 100% 1%,3.203
meteor-contest,Python dev,2,2098,1443,3.230,7924,0,15% 1% 90% 1%,3.249
meteor-contest,Python 3,2,2098,1443,3.313,8820,0,6% 4% 4% 99%,3.318
meteor-contest,Python 3,2,2098,1443,3.318,8816,0,7% 6% 3% 100%,3.323
meteor-contest,Python 3,2,2098,1443,3.396,8852,0,44% 5% 64% 4%,3.458
meteor-contest,PyPy 3,2,2098,1443,0.922,75316,0,91% 1% 2% 10%,0.929
meteor-contest,PyPy 3,2,2098,1443,0.944,75304,0,2% 6% 3% 100%,0.948
meteor-contest,PyPy 3,2,2098,1443,0.951,75392,0,100% 3% 7% 4%,0.958
n-body,Graal,1,5000000,1315,6.635,406548,0,7% 39% 3% 62%,6.467
n-body,Graal,1,5000000,1315,6.695,406460,0,6% 1% 4% 100%,6.529
n-body,Graal,1,5000000,1315,6.706,406624,0,5% 85% 4% 16%,6.535
n-body,MicroPython,1,5000000,1315,104.713,4684,0,0% 0% 100% 0%,104.793
n-body,MicroPython,1,5000000,1315,104.454,4684,0,0% 12% 0% 88%,104.6
n-body,MicroPython,1,5000000,1315,104.542,4544,0,0% 0% 0% 100%,104.686
n-body,Jython,1,5000000,1337,74.195,299088,0,20% 25% 33% 28%,70.257
n-body,Jython,1,5000000,1337,71.234,297436,0,28% 28% 24% 26%,67.645
n-body,Jython,1,5000000,1337,72.577,297252,0,34% 21% 30% 21%,68.565
n-body,Python dev,1,5000000,1315,45.626,8000,0,7% 9% 2% 93%,45.664
n-body,Python dev,1,5000000,1315,46.446,7956,0,6% 20% 1% 81%,46.484
n-body,Python dev,1,5000000,1315,45.727,8116,0,7% 8% 2% 94%,45.764
n-body,IronPython,1,5000000,1337,54.998,65208,0,69% 7% 11% 12%,55.189
n-body,IronPython,1,5000000,1337,55.210,63040,0,0% 66% 0% 34%,54.672
n-body,IronPython,1,5000000,1337,56.371,63324,0,30% 0% 68% 0%,56.69
n-body,PyPy,1,5000000,1337,4.619,76772,0,1% 5% 1% 100%,4.643
n-body,PyPy,1,5000000,1337,4.627,76432,0,99% 5% 1% 1%,4.653
n-body,PyPy,1,5000000,1337,4.624,76436,0,12% 5% 88% 0%,4.645
n-body,PyPy 3,1,5000000,1315,4.573,67900,0,2% 99% 3% 4%,4.597
n-body,PyPy 3,1,5000000,1315,4.592,67836,0,16% 3% 86% 2%,4.62
n-body,PyPy 3,1,5000000,1315,4.619,67636,0,3% 4% 3% 100%,4.64
n-body,Python 3,1,5000000,1315,45.054,8756,0,13% 7% 7% 100%,45.104
n-body,Python 3,1,5000000,1315,44.167,8856,0,7% 4% 3% 100%,44.201
n-body,Python 3,1,5000000,1315,44.287,8796,0,7% 100% 3% 4%,44.325
n-body,Numba,1,5000000,1333,59.744,96736,0,0% 0% 100% 0%,60.013
n-body,Numba,1,5000000,1333,59.620,97376,0,0% 26% 0% 74%,59.623
n-body,Numba,1,5000000,1333,58.432,97492,0,0% 100% 0% 0%,58.437
n-body,Nuitka,1,5000000,1315,39.453,9832,0,1% 1% 1% 100%,39.476
n-body,Nuitka,1,5000000,1315,38.972,9764,0,62% 1% 39% 1%,39.009
n-body,Nuitka,1,5000000,1315,39.024,9672,0,1% 39% 1% 62%,39.049
n-body,Pyston,1,5000000,1337,29.442,26596,0,0% 53% 0% 47%,29.445
n-body,Pyston,1,5000000,1337,31.054,26724,0,2% 0% 98% 0%,31.055
n-body,Pyston,1,5000000,1337,29.488,26648,0,0% 0% 100% 0%,29.489
n-body,Cython,1,5000000,1392,10.217,8532,0,51% 7% 54% 5%,10.437
n-body,Cython,1,5000000,1392,9.968,8628,0,5% 1% 100% 1%,9.977
n-body,Cython,1,5000000,1392,9.908,8508,0,56% 1% 48% 1%,10.146
n-body,Python 2,1,5000000,1337,48.926,6740,0,1% 0% 0% 100%,48.952
n-body,Python 2,1,5000000,1337,50.940,6616,0,2% 17% 80% 6%,50.991
n-body,Python 2,1,5000000,1337,53.173,6692,0,30% 28% 64% 20%,53.332
pidigits,Python 3,4,10000,379,0.026,0,0,0% 67% 50% 25%,0.027
pidigits,Python 3,4,10000,379,0.026,0,0,0% 100% 0% 0%,0.027
pidigits,Python 3,4,10000,379,0.026,0,0,0% 0% 100% 0%,0.027
pidigits,Python 2,4,10000,380,0.017,0,0,50% 0% 100% 0%,0.019
pidigits,Python 2,4,10000,380,0.013,0,0,0% 0% 0% 100%,0.014
pidigits,Python 2,4,10000,380,0.013,0,0,0% 0% 100% 0%,0.014
pidigits,Pyston,1,10000,322,0.906,26560,0,0% 4% 95% 0%,0.908
pidigits,Pyston,1,10000,322,0.902,26528,0,1% 100% 0% 0%,0.903
pidigits,Pyston,1,10000,322,0.908,26480,0,100% 0% 0% 1%,0.909
pidigits,PyPy 3,1,10000,322,2.997,78384,0,6% 100% 3% 6%,3.008
pidigits,PyPy 3,1,10000,322,2.987,78304,0,3% 99% 2% 5%,3.015
pidigits,PyPy 3,1,10000,322,2.983,78152,0,100% 6% 4% 3%,3.032
pidigits,Jython,1,10000,322,9.415,324056,0,47% 39% 41% 40%,5.633
pidigits,Jython,1,10000,322,8.861,294580,0,29% 51% 30% 54%,5.441
pidigits,Jython,1,10000,322,8.844,290952,0,34% 45% 51% 35%,5.402
pidigits,Python dev,1,10000,322,2.898,8624,0,5% 64% 0% 37%,2.903
pidigits,Python dev,1,10000,322,2.940,8448,0,6% 2% 100% 1%,2.945
pidigits,Python dev,1,10000,322,2.938,8676,0,15% 2% 91% 1%,2.955
pidigits,Nuitka,4,10000,379,0.038,0,0,0% 100% 25% 0%,0.041
pidigits,Nuitka,4,10000,379,0.035,0,0,0% 100% 0% 0%,0.037
pidigits,Nuitka,4,10000,379,0.035,0,0,100% 20% 0% 0%,0.037
pidigits,Cython,4,10000,349,0.029,0,0,0% 0% 0% 100%,0.037
pidigits,Cython,4,10000,349,0.027,0,0,0% 0% 0% 100%,0.028
pidigits,Cython,4,10000,349,0.027,0,0,0% 0% 0% 100%,0.028
pidigits,MicroPython,1,10000,322,12.328,4172,0,100% 0% 0% 0%,12.344
pidigits,MicroPython,1,10000,322,12.367,4144,0,38% 1% 63% 0%,12.384
pidigits,MicroPython,1,10000,322,12.335,4144,0,0% 0% 100% 0%,12.351
pidigits,PyPy,1,10000,322,2.937,87540,0,0% 6% 1% 99%,2.963
pidigits,PyPy,1,10000,322,2.953,87188,0,1% 6% 1% 99%,2.977
pidigits,PyPy,1,10000,322,2.931,87448,0,1% 5% 99% 1%,2.957
pidigits,IronPython,1,10000,322,13.148,79276,0,1% 29% 5% 68%,12.686
pidigits,IronPython,1,10000,322,13.115,77680,0,58% 2% 41% 2%,12.682
pidigits,IronPython,1,10000,322,13.139,78604,0,0% 57% 3% 42%,12.687
pystone,Pyston,1,50000,2301,0.165,0,0,0% 0% 100% 0%,0.166
pystone,Pyston,1,50000,2301,0.168,0,0,0% 0% 6% 100%,0.169
pystone,Pyston,1,50000,2301,0.166,0,0,100% 0% 0% 0%,0.167
pystone,Nuitka,1,50000,2303,0.190,0,0,0% 0% 0% 100%,0.191
pystone,Nuitka,1,50000,2303,0.191,0,0,0% 100% 0% 0%,0.192
pystone,Nuitka,1,50000,2303,0.192,0,0,5% 0% 0% 100%,0.194
pystone,Jython,1,50000,2301,6.573,311316,0,79% 68% 54% 76%,2.393
pystone,Jython,1,50000,2301,6.202,281144,0,97% 53% 71% 60%,2.209
pystone,Jython,1,50000,2301,6.387,287728,0,82% 72% 66% 61%,2.287
pystone,MicroPython,1,50000,2303,0.368,1256,0,0% 100% 0% 0%,0.37
pystone,MicroPython,1,50000,2303,0.373,1172,0,0% 100% 3% 3%,0.374
pystone,MicroPython,1,50000,2303,0.376,1136,0,3% 100% 0% 0%,0.378
pystone,IronPython,1,50000,2301,1.177,64960,0,32% 26% 3% 24%,1.426
pystone,IronPython,1,50000,2301,1.205,65140,0,3% 51% 3% 26%,1.46
pystone,IronPython,1,50000,2301,1.173,63512,0,2% 35% 4% 41%,1.427
pystone,Graal,1,50000,2303,1.988,403944,0,63% 49% 63% 1%,1.183
pystone,Graal,1,50000,2303,1.990,404520,0,59% 99% 24% 4%,1.129
pystone,Graal,1,50000,2303,2.007,404220,0,47% 2% 38% 100%,1.123
pystone,Cython,1,50000,2402,0.086,0,0,11% 100% 0% 0%,0.088
pystone,Cython,1,50000,2402,0.090,0,0,0% 0% 100% 0%,0.091
pystone,Cython,1,50000,2402,0.089,0,0,11% 0% 10% 89%,0.09
pystone,PyPy 3,1,50000,2303,0.117,0,0,7% 0% 0% 85%,0.134
pystone,PyPy 3,1,50000,2303,0.117,0,0,8% 100% 0% 0%,0.118
pystone,PyPy 3,1,50000,2303,0.117,0,0,0% 0% 100% 9%,0.118
pystone,Python 2,1,50000,2301,0.234,860,0,4% 0% 100% 0%,0.236
pystone,Python 2,1,50000,2301,0.230,844,0,96% 4% 0% 4%,0.232
pystone,Python 2,1,50000,2301,0.234,852,0,0% 96% 4% 0%,0.235
pystone,PyPy,1,50000,2301,0.162,0,0,84% 11% 12% 6%,0.181
pystone,PyPy,1,50000,2301,0.111,0,0,100% 9% 0% 0%,0.112
pystone,PyPy,1,50000,2301,0.111,0,0,0% 100% 0% 0%,0.117
pystone,Python 3,1,50000,2303,0.278,1896,0,7% 3% 100% 0%,0.28
pystone,Python 3,1,50000,2303,0.268,1816,0,7% 96% 0% 4%,0.27
pystone,Python 3,1,50000,2303,0.264,1808,0,7% 100% 4% 0%,0.265
regex-dna,Pyston,5,10000,501,0.078,0,0,11% 13% 0% 89%,0.08
regex-dna,Pyston,5,10000,501,0.075,0,0,0% 0% 0% 100%,0.076
regex-dna,Pyston,5,10000,501,0.077,0,0,13% 0% 0% 100%,0.078
regex-dna,PyPy 3,5,10000,524,0.215,1136,0,8% 8% 91% 13%,0.236
regex-dna,PyPy 3,5,10000,524,0.217,992,0,0% 100% 0% 9%,0.219
regex-dna,PyPy 3,5,10000,524,0.217,1116,0,5% 100% 0% 9%,0.219
regex-dna,PyPy,5,10000,501,0.140,0,0,82% 0% 6% 6%,0.159
regex-dna,PyPy,5,10000,501,0.135,0,0,0% 7% 100% 13%,0.137
regex-dna,PyPy,5,10000,501,0.138,0,0,0% 13% 0% 100%,0.139
regex-dna,Nuitka,5,10000,524,0.055,0,0,0% 0% 50% 50%,0.057
regex-dna,Nuitka,5,10000,524,0.055,0,0,100% 0% 0% 0%,0.056
regex-dna,Nuitka,5,10000,524,0.055,0,0,0% 100% 0% 0%,0.057
regex-dna,Jython,5,10000,501,3.351,176284,0,46% 92% 52% 57%,1.42
regex-dna,Jython,5,10000,501,3.395,173756,0,50% 56% 52% 96%,1.408
regex-dna,Jython,5,10000,501,3.702,190872,0,69% 52% 72% 64%,1.567
regex-dna,Python 3,5,10000,524,0.049,0,0,17% 83% 0% 0%,0.051
regex-dna,Python 3,5,10000,524,0.047,0,0,0% 100% 0% 0%,0.048
regex-dna,Python 3,5,10000,524,0.047,0,0,0% 100% 0% 0%,0.048
regex-dna,Python dev,5,10000,524,0.045,0,0,0% 0% 0% 75%,0.046
regex-dna,Python dev,5,10000,524,0.045,0,0,0% 0% 100% 0%,0.047
regex-dna,Python dev,5,10000,524,0.046,0,0,20% 100% 0% 0%,0.047
regex-dna,Cython,5,10000,524,0.049,0,0,0% 0% 0% 100%,0.052
regex-dna,Cython,5,10000,524,0.049,0,0,20% 0% 100% 0%,0.051
regex-dna,Cython,5,10000,524,0.049,0,0,0% 0% 100% 0%,0.05
regex-dna,Python 2,5,10000,501,0.033,0,0,0% 0% 25% 100%,0.035
regex-dna,Python 2,5,10000,501,0.031,0,0,0% 100% 0% 0%,0.033
regex-dna,Python 2,5,10000,501,0.032,0,0,0% 0% 100% 0%,0.033
regex-dna,IronPython,5,10000,501,0.698,46832,0,3% 29% 44% 32%,0.701
regex-dna,IronPython,5,10000,501,0.727,44844,0,8% 3% 100% 5%,0.728
regex-dna,IronPython,5,10000,501,0.732,45660,0,5% 100% 3% 6%,0.734
reverse-complement,Python 2,3,1000,431,0.013,0,0,%,0
reverse-complement,Python 2,3,1000,431,0.010,0,0,0% 0% 100% 0%,0.011
reverse-complement,Python 2,3,1000,431,0.010,0,0,0% 100% 0% 0%,0.011
reverse-complement,PyPy 3,5,1000,458,0.085,0,0,89% 0% 0% 44%,0.088
reverse-complement,PyPy 3,5,1000,458,0.082,0,0,100% 0% 0% 11%,0.084
reverse-complement,PyPy 3,5,1000,458,0.083,0,0,11% 0% 0% 89%,0.084
reverse-complement,Cython,4,1000,449,0.023,0,0,0% 100% 0% 0%,0.026
reverse-complement,Cython,4,1000,449,0.023,0,0,0% 0% 0% 67%,0.024
reverse-complement,Cython,4,1000,449,0.023,0,0,0% 0% 100% 33%,0.024
reverse-complement,Nuitka,6,1000,878,0.031,0,0,0% 0% 67% 0%,0.032
reverse-complement,Nuitka,6,1000,878,0.031,0,0,25% 100% 25% 0%,0.032
reverse-complement,Nuitka,6,1000,878,0.031,0,0,0% 0% 0% 100%,0.032
reverse-complement,Jython,4,1000,432,2.819,172892,0,83% 63% 50% 40%,1.234
reverse-complement,Jython,4,1000,432,2.727,134856,0,45% 51% 49% 83%,1.208
reverse-complement,Jython,4,1000,432,2.797,169836,0,46% 52% 39% 94%,1.243
reverse-complement,Python 3,4,1000,449,0.021,0,0,0% 0% 100% 0%,0.023
reverse-complement,Python 3,4,1000,449,0.021,0,0,0% 0% 100% 0%,0.022
reverse-complement,Python 3,4,1000,449,0.021,0,0,0% 0% 100% 33%,0.023
reverse-complement,Python dev,5,1000,458,0.014,0,0,0% 0% 0% 100%,0.016
reverse-complement,Python dev,5,1000,458,0.014,0,0,0% 33% 100% 0%,0.016
reverse-complement,Python dev,5,1000,458,0.014,0,0,0% 50% 100% 0%,0.016
reverse-complement,Pyston,5,1000,455,0.049,0,0,100% 0% 0% 17%,0.051
reverse-complement,Pyston,5,1000,455,0.049,0,0,100% 0% 0% 0%,0.05
reverse-complement,Pyston,5,1000,455,0.049,0,0,0% 0% 17% 100%,0.05
reverse-complement,Graal,6,1000,878,0.108,0,0,23% 0% 9% 100%,0.11
reverse-complement,Graal,6,1000,878,0.106,0,0,0% 0% 0% 92%,0.107
reverse-complement,Graal,6,1000,878,0.109,0,0,9% 0% 100% 0%,0.11
reverse-complement,PyPy,5,1000,455,0.079,0,0,80% 10% 9% 0%,0.098
reverse-complement,PyPy,5,1000,455,0.080,0,0,0% 0% 100% 11%,0.082
reverse-complement,PyPy,5,1000,455,0.079,0,0,100% 11% 0% 0%,0.08
richards,PyPy 3,1,10,2434,0.268,1104,0,0% 3% 4% 96%,0.285
richards,PyPy 3,1,10,2434,0.274,1136,0,7% 11% 4% 100%,0.276
richards,PyPy 3,1,10,2434,0.278,1100,0,4% 11% 0% 100%,0.28
richards,Pyston,1,10,2423,0.317,2204,0,0% 16% 88% 3%,0.318
richards,Pyston,1,10,2423,0.317,2208,0,0% 97% 0% 0%,0.318
richards,Pyston,1,10,2423,0.317,2136,0,0% 0% 0% 97%,0.318
richards,Grumpy,1,10,2423,5.760,8248,0,29% 27% 31% 30%,5.358
richards,Grumpy,1,10,2423,5.753,8632,0,26% 35% 28% 30%,5.353
richards,Grumpy,1,10,2423,5.708,8276,0,28% 32% 26% 30%,5.306
richards,Cython,1,10,2467,0.714,8600,0,6% 100% 0% 1%,0.716
richards,Cython,1,10,2467,0.724,8632,0,6% 22% 3% 78%,0.727
richards,Cython,1,10,2467,0.740,8632,0,99% 3% 1% 0%,0.775
richards,Python 2,1,10,2423,1.138,7156,0,99% 3% 1% 3%,1.141
richards,Python 2,1,10,2423,1.121,7084,0,1% 2% 100% 0%,1.123
richards,Python 2,1,10,2423,1.113,7100,0,100% 0% 0% 3%,1.115
richards,PyPy,1,10,2423,0.253,1396,0,10% 11% 29% 65%,0.273
richards,PyPy,1,10,2423,0.250,1364,0,0% 4% 0% 100%,0.252
richards,PyPy,1,10,2423,0.243,1408,0,0% 4% 100% 0%,0.245
richards,IronPython,1,10,2423,6.652,63268,0,1% 83% 5% 8%,6.939
richards,IronPython,1,10,2423,6.489,63884,0,12% 1% 82% 6%,6.419
richards,IronPython,1,10,2423,6.496,63612,0,1% 1% 93% 7%,6.413
richards,MicroPython,1,10,2434,3.031,4068,0,1% 1% 100% 1%,3.034
richards,MicroPython,1,10,2434,3.044,4156,0,70% 2% 30% 0%,3.046
richards,MicroPython,1,10,2434,3.031,4056,0,1% 100% 0% 0%,3.033
richards,Nuitka,1,10,2434,0.703,9728,0,0% 100% 1% 0%,0.705
richards,Nuitka,1,10,2434,0.696,9852,0,100% 0% 0% 3%,0.698
richards,Nuitka,1,10,2434,0.725,9928,0,1% 1% 0% 100%,0.726
richards,Jython,1,10,2423,7.184,292192,0,60% 52% 65% 56%,3.101
richards,Jython,1,10,2423,6.953,284928,0,65% 56% 40% 61%,3.139
richards,Jython,1,10,2423,6.883,298504,0,58% 47% 81% 36%,3.105
richards,Python 3,1,10,2434,1.203,9028,0,11% 5% 99% 1%,1.206
richards,Python 3,1,10,2434,1.140,8968,0,4% 1% 99% 2%,1.143
richards,Python 3,1,10,2434,1.116,9068,0,6% 100% 2% 0%,1.118
richards,Graal,1,10,2434,12.290,473072,0,82% 71% 57% 26%,5.471
richards,Graal,1,10,2434,12.229,479652,0,71% 77% 80% 13%,5.336
richards,Graal,1,10,2434,11.670,493976,0,70% 66% 21% 85%,5.221
richards,Python dev,1,10,2434,1.068,8328,0,10% 9% 11% 100%,1.071
richards,Python dev,1,10,2434,1.031,8200,0,100% 9% 11% 7%,1.079
richards,Python dev,1,10,2434,1.024,8204,0,15% 33% 11% 72%,1.027
spectral-norm,PyPy 3,8,550,594,0.199,0,0,100% 0% 5% 10%,0.202
spectral-norm,PyPy 3,8,550,594,0.198,0,0,0% 5% 100% 5%,0.2
spectral-norm,PyPy 3,8,550,594,0.202,1036,0,62% 48% 29% 10%,0.208
spectral-norm,PyPy,8,550,594,0.239,1412,0,100% 12% 0% 4%,0.244
spectral-norm,PyPy,8,550,594,0.195,0,0,0% 5% 0% 100%,0.197
spectral-norm,PyPy,8,550,594,0.193,0,0,0% 5% 100% 0%,0.195
spectral-norm,Python 3,2,550,394,0.127,0,0,100% 0% 0% 8%,0.135
spectral-norm,Python 3,2,550,394,0.118,0,0,8% 100% 8% 0%,0.12
spectral-norm,Python 3,2,550,394,0.119,0,0,14% 100% 15% 0%,0.121
spectral-norm,IronPython,8,550,594,3.976,57520,0,0% 63% 8% 24%,4.161
spectral-norm,IronPython,8,550,594,3.986,61472,0,92% 0% 1% 1%,4.177
spectral-norm,IronPython,8,550,594,4.003,57200,0,0% 92% 1% 1%,4.188
spectral-norm,Jython,8,550,594,8.366,297264,0,51% 45% 38% 38%,4.87
spectral-norm,Jython,8,550,594,8.075,294356,0,43% 34% 60% 31%,4.772
spectral-norm,Jython,8,550,594,8.405,294976,0,31% 64% 46% 29%,4.959
spectral-norm,Python 2,2,550,394,0.085,0,0,7% 29% 67% 7%,0.138
spectral-norm,Python 2,2,550,394,0.079,0,0,0% 0% 11% 100%,0.081
spectral-norm,Python 2,2,550,394,0.079,0,0,0% 13% 0% 89%,0.081
spectral-norm,Pyston,2,550,394,0.421,57532,0,0% 10% 83% 12%,0.423
spectral-norm,Pyston,2,550,394,0.420,55652,0,2% 0% 0% 100%,0.421
spectral-norm,Pyston,2,550,394,0.421,56036,0,0% 0% 0% 100%,0.421
spectral-norm,Python dev,5,550,575,8.713,48168,0,93% 90% 93% 89%,2.46
spectral-norm,Python dev,5,550,575,8.643,48248,0,92% 92% 91% 90%,2.449
spectral-norm,Python dev,5,550,575,8.797,48304,0,92% 92% 89% 92%,2.483
spectral-norm,Nuitka,2,550,394,0.128,0,0,0% 0% 100% 0%,0.132
spectral-norm,Nuitka,2,550,394,0.127,0,0,0% 0% 100% 0%,0.128
spectral-norm,Nuitka,2,550,394,0.127,0,0,0% 100% 0% 0%,0.129
spectral-norm,Numba,1,550,663,0.923,84664,0,0% 3% 49% 48%,0.924
spectral-norm,Numba,1,550,663,0.906,84284,0,0% 0% 0% 100%,0.906
spectral-norm,Numba,1,550,663,0.927,83916,0,1% 0% 0% 99%,0.928
spectral-norm,Graal,8,550,594,1.036,284368,0,13% 30% 90% 16%,0.811
spectral-norm,Graal,8,550,594,1.037,281540,0,13% 40% 78% 19%,0.805
spectral-norm,Graal,8,550,594,1.054,407996,0,20% 61% 56% 10%,0.815
spectral-norm,MicroPython,6,550,498,7.015,4364,0,0% 1% 0% 100%,7.027
spectral-norm,MicroPython,6,550,498,7.001,4216,0,100% 0% 0% 0%,7.008
spectral-norm,MicroPython,6,550,498,7.000,4396,0,0% 100% 1% 0%,7.008
templates,Python 3,1,1000,322,1.093,19848,0,6% 1% 99% 1%,1.123
templates,Python 3,1,1000,322,1.062,19664,0,10% 100% 3% 3%,1.065
templates,Python 3,1,1000,322,1.067,19692,0,83% 26% 3% 6%,1.112
templates,Numba,1,1000,335,1.478,77492,0,88% 11% 1% 2%,1.498
templates,Numba,1,1000,335,1.456,77500,0,1% 5% 0% 95%,1.457
templates,Numba,1,1000,335,1.462,77320,0,1% 0% 0% 99%,1.462
templates,Cython,1,1000,328,1.085,20036,0,8% 1% 96% 1%,1.12
templates,Cython,1,1000,328,1.082,19944,0,6% 2% 100% 1%,1.085
templates,Cython,1,1000,328,1.059,19908,0,6% 1% 0% 100%,1.062
templates,Python 2,1,1000,307,1.073,15884,0,1% 99% 1% 0%,1.089
templates,Python 2,1,1000,307,1.068,15876,0,0% 2% 2% 99%,1.072
templates,Python 2,1,1000,307,1.090,15876,0,4% 4% 2% 100%,1.093
templates,Pyston,1,1000,307,1.856,58356,0,2% 5% 91% 3%,1.866
templates,Pyston,1,1000,307,1.854,58092,0,0% 1% 0% 100%,1.856
templates,Pyston,1,1000,307,1.846,58360,0,0% 100% 1% 1%,1.847
templates,PyPy,1,1000,307,2.786,96748,0,99% 6% 1% 0%,2.827
templates,PyPy,1,1000,307,2.831,95260,0,1% 6% 2% 99%,2.857
templates,PyPy,1,1000,307,2.844,97544,0,1% 5% 1% 99%,2.871
templates,Nuitka,1,1000,322,1.124,20204,0,4% 93% 4% 3%,1.168
templates,Nuitka,1,1000,322,1.103,20236,0,100% 1% 0% 2%,1.107
templates,Nuitka,1,1000,322,1.136,20320,0,0% 100% 1% 2%,1.139
templates,PyPy 3,1,1000,322,4.406,107976,0,8% 9% 3% 86%,4.467
templates,PyPy 3,1,1000,322,4.355,106880,0,22% 2% 80% 3%,4.391
templates,PyPy 3,1,1000,322,4.370,106660,0,2% 3% 2% 100%,4.403
thread-ring,Python 2,1,5000000,407,0.553,7068,0,98% 5% 0% 2%,0.555
thread-ring,Python 2,1,5000000,407,0.546,7052,0,0% 0% 100% 2%,0.548
thread-ring,Python 2,1,5000000,407,0.545,7060,0,100% 4% 0% 0%,0.546
thread-ring,PyPy 3,3,5000000,407,0.168,0,0,88% 22% 16% 16%,0.186
thread-ring,PyPy 3,3,5000000,407,0.158,0,0,6% 0% 0% 100%,0.159
thread-ring,PyPy 3,3,5000000,407,0.157,0,0,0% 0% 0% 94%,0.159
thread-ring,Cython,1,5000000,419,0.279,1948,0,100% 3% 0% 0%,0.293
thread-ring,Cython,1,5000000,419,0.283,1924,0,7% 97% 7% 0%,0.285
thread-ring,Cython,1,5000000,419,0.285,1916,0,10% 10% 3% 100%,0.286
thread-ring,Python 3,2,5000000,448,27.164,13224,0,31% 33% 26% 33%,21.462
thread-ring,Python 3,2,5000000,448,27.272,13308,0,34% 35% 27% 32%,21.748
thread-ring,Python 3,2,5000000,448,27.241,13344,0,31% 36% 27% 34%,21.635
thread-ring,Pyston,1,5000000,407,0.803,28536,0,6% 94% 1% 0%,0.805
thread-ring,Pyston,1,5000000,407,0.785,28624,0,0% 100% 0% 1%,0.786
thread-ring,Pyston,1,5000000,407,0.787,28572,0,0% 99% 0% 0%,0.788
thread-ring,IronPython,1,5000000,407,1.946,59312,0,3% 79% 13% 1%,2.036
thread-ring,IronPython,1,5000000,407,1.888,58920,0,2% 21% 62% 8%,2.047
thread-ring,IronPython,1,5000000,407,1.869,63780,0,60% 27% 2% 3%,2.032
thread-ring,Graal,3,5000000,407,1.833,413784,0,27% 20% 7% 93%,1.331
thread-ring,Graal,3,5000000,407,1.766,414872,0,24% 19% 92% 10%,1.293
thread-ring,Graal,3,5000000,407,1.793,413776,0,93% 23% 19% 5%,1.367
thread-ring,Nuitka,2,5000000,448,28.898,14144,0,31% 31% 31% 30%,20.623
thread-ring,Nuitka,2,5000000,448,29.412,14144,0,29% 35% 29% 30%,21.115
thread-ring,Nuitka,2,5000000,448,28.955,14196,0,30% 32% 37% 27%,20.67
thread-ring,Jython,1,5000000,407,4.413,222952,0,63% 72% 60% 48%,1.827
thread-ring,Jython,1,5000000,407,4.636,266428,0,55% 61% 74% 57%,1.882
thread-ring,Jython,1,5000000,407,4.523,270388,0,65% 66% 45% 66%,1.872
thread-ring,PyPy,1,5000000,407,0.146,0,0,12% 6% 0% 88%,0.163
thread-ring,PyPy,1,5000000,407,0.142,0,0,100% 13% 0% 0%,0.144
thread-ring,PyPy,1,5000000,407,0.145,0,0,0% 7% 0% 93%,0.147
thread-ring,Python dev,2,5000000,448,29.891,12208,0,33% 33% 26% 35%,22.437
thread-ring,Python dev,2,5000000,448,29.783,12068,0,32% 30% 28% 34%,22.319
thread-ring,Python dev,2,5000000,448,30.051,12216,0,32% 32% 26% 33%,22.595
thread-ring,MicroPython,2,5000000,448,23.327,6348,0,26% 28% 39% 23%,17.391
thread-ring,MicroPython,2,5000000,448,23.357,6344,0,24% 23% 38% 30%,17.471
thread-ring,MicroPython,2,5000000,448,23.717,6256,0,34% 18% 32% 29%,17.77
thread-ring,Grumpy,1,5000000,407,2.256,8248,0,30% 30% 26% 31%,2.119
thread-ring,Grumpy,1,5000000,407,2.228,8456,0,34% 22% 31% 28%,2.095
thread-ring,Grumpy,1,5000000,407,2.234,7752,0,26% 32% 27% 36%,2.099

Revised BSD license

  Home   Conclusions   License   Play