MacBook Pro (2019)
| Processor | Memory | Node | Author |
|---|---|---|---|
| 2,3 GHz 8-Core Intel Core i9 | 64 GB 2667 MHz DDR4 | v14.18.1 | @foull |
map-filter-reduce
map → filter → reduce
✔ @mobily/ts-belt 185,214.97 ops/sec ±1.03% (86 runs) fastest
✔ remeda 16,160.85 ops/sec ±0.89% (87 runs) -91.27%
✔ ramda 92,665.28 ops/sec ±1.23% (88 runs) -49.97%
✔ rambda 171,789.07 ops/sec ±2.58% (86 runs) -7.25%
✔ lodash/fp 44,498.87 ops/sec ±1.39% (87 runs) -75.97%
→ Fastest is @mobily/ts-belt
deepFlat-uniq-groupBy
deepFlat → uniq → groupBy
✔ @mobily/ts-belt 1,127,456.96 ops/sec ±0.71% (91 runs) fastest
✔ remeda 264,122.66 ops/sec ±1.88% (88 runs) -76.57%
✔ ramda 146,632.75 ops/sec ±1.24% (90 runs) -86.99%
✔ rambda 902,111.90 ops/sec ±1.74% (85 runs) -19.99%
✔ lodash/fp 216,419.99 ops/sec ±1.50% (89 runs) -80.80%
→ Fastest is @mobily/ts-belt
sort
sort (single function call)
✔ @mobily/ts-belt 2,437,861.48 ops/sec ±1.88% (86 runs) fastest
✔ remeda 785,890.78 ops/sec ±1.74% (85 runs) -67.76%
✔ ramda 1,679,654.02 ops/sec ±1.67% (85 runs) -31.10%
✔ rambda 1,636,061.46 ops/sec ±1.01% (89 runs) -32.89%
✔ lodash/fp 715,056.45 ops/sec ±1.09% (88 runs) -70.67%
→ Fastest is @mobily/ts-belt
sort (function call inside pipe)
✔ @mobily/ts-belt 2,330,186.03 ops/sec ±1.24% (91 runs) fastest
✔ remeda 651,639.70 ops/sec ±0.94% (92 runs) -72.03%
✔ ramda 546,611.24 ops/sec ±0.96% (91 runs) -76.54%
✔ rambda 1,579,896.03 ops/sec ±1.46% (86 runs) -32.20%
✔ lodash/fp 269,736.81 ops/sec ±0.49% (88 runs) -88.42%
→ Fastest is @mobily/ts-belt
unzip
unzip (single function call)
✔ @mobily/ts-belt 29,444,915.40 ops/sec ±0.52% (89 runs) fastest
✔ lodash/fp 1,429,544.31 ops/sec ±0.96% (96 runs) -95.15%
→ Fastest is @mobily/ts-belt
unzip (function call inside pipe)
✔ @mobily/ts-belt 21,884,813.53 ops/sec ±0.73% (90 runs) fastest
✔ lodash/fp 1,184,488.54 ops/sec ±1.97% (86 runs) -94.59%
→ Fastest is @mobily/ts-belt
flat
flat (single function call)
✔ @mobily/ts-belt 18,813,185.49 ops/sec ±1.16% (89 runs) fastest
✔ remeda 1,722,343.03 ops/sec ±0.99% (93 runs) -90.85%
✔ ramda 931,147.62 ops/sec ±1.57% (91 runs) -95.05%
✔ rambda 11,056,100.53 ops/sec ±1.41% (94 runs) -41.23%
✔ lodash/fp 10,464,305.82 ops/sec ±1.33% (91 runs) -44.38%
→ Fastest is @mobily/ts-belt
flat (function call inside pipe)
✔ @mobily/ts-belt 18,905,450.63 ops/sec ±0.93% (90 runs) fastest
✔ remeda 1,514,106.91 ops/sec ±1.08% (92 runs) -91.99%
✔ ramda 565,693.21 ops/sec ±0.78% (92 runs) -97.01%
✔ rambda 7,994,814.04 ops/sec ±1.27% (87 runs) -57.71%
✔ lodash/fp 3,829,849.88 ops/sec ±1.59% (88 runs) -79.74%
→ Fastest is @mobily/ts-belt
dropWhile
dropWhile (single function call)
✔ @mobily/ts-belt 29,841,996.82 ops/sec ±1.25% (88 runs) fastest
✔ ramda 7,515,373.51 ops/sec ±0.93% (89 runs) -74.82%
✔ rambda 25,361,467.04 ops/sec ±1.69% (91 runs) -15.01%
✔ lodash/fp 7,217,380.55 ops/sec ±0.78% (88 runs) -75.81%
→ Fastest is @mobily/ts-belt
dropWhile (function call inside pipe)
✔ @mobily/ts-belt 17,361,087.92 ops/sec ±1.48% (94 runs) fastest
✔ ramda 984,951.53 ops/sec ±1.16% (89 runs) -94.33%
✔ rambda 11,068,526.36 ops/sec ±1.44% (92 runs) -36.25%
✔ lodash/fp 399,055.49 ops/sec ±1.52% (88 runs) -97.70%
→ Fastest is @mobily/ts-belt
takeWhile
takeWhile (single function call)
✔ @mobily/ts-belt 31,620,494.55 ops/sec ±0.54% (90 runs) fastest
✔ remeda 1,702,768.84 ops/sec ±1.75% (88 runs) -94.61%
✔ ramda 7,894,989.21 ops/sec ±0.92% (91 runs) -75.03%
✔ rambda 27,690,714.15 ops/sec ±0.93% (87 runs) -12.43%
✔ lodash/fp 8,520,806.38 ops/sec ±1.11% (91 runs) -73.05%
→ Fastest is @mobily/ts-belt
takeWhile (function call inside pipe)
✔ @mobily/ts-belt 18,252,160.68 ops/sec ±1.53% (92 runs) fastest
✔ remeda 1,578,239.66 ops/sec ±0.95% (88 runs) -91.35%
✔ ramda 1,014,091.06 ops/sec ±1.18% (93 runs) -94.44%
✔ rambda 11,531,610.31 ops/sec ±1.77% (92 runs) -36.82%
✔ lodash/fp 363,908.47 ops/sec ±1.62% (90 runs) -98.01%
→ Fastest is @mobily/ts-belt
deepFlat
deepFlat (single function call)
✔ @mobily/ts-belt 11,481,329.77 ops/sec ±0.86% (87 runs) fastest
✔ remeda 739,627.80 ops/sec ±1.26% (90 runs) -93.56%
✔ ramda 410,112.58 ops/sec ±0.56% (92 runs) -96.43%
✔ rambda 10,914,542.93 ops/sec ±1.50% (88 runs) -4.94%
✔ lodash/fp 4,440,467.53 ops/sec ±0.79% (93 runs) -61.32%
→ Fastest is @mobily/ts-belt
deepFlat (function call inside pipe)
✔ @mobily/ts-belt 11,127,331.38 ops/sec ±1.23% (92 runs) fastest
✔ remeda 606,800.18 ops/sec ±1.63% (90 runs) -94.55%
✔ ramda 324,364.42 ops/sec ±0.64% (94 runs) -97.08%
✔ rambda 8,182,376.51 ops/sec ±0.68% (92 runs) -26.47%
✔ lodash/fp 2,367,542.61 ops/sec ±1.52% (90 runs) -78.72%
→ Fastest is @mobily/ts-belt
reduce
reduce (single function call)
✔ @mobily/ts-belt 27,524,003.85 ops/sec ±0.53% (91 runs) fastest
✔ remeda 1,425,826.99 ops/sec ±1.16% (91 runs) -94.82%
✔ ramda 5,351,399.74 ops/sec ±0.69% (93 runs) -80.56%
✔ rambda 10,133,998.14 ops/sec ±2.11% (88 runs) -63.18%
✔ lodash/fp 5,477,505.25 ops/sec ±0.90% (92 runs) -80.10%
→ Fastest is @mobily/ts-belt
reduce (function call inside pipe)
✔ @mobily/ts-belt 17,085,652.37 ops/sec ±1.62% (93 runs) fastest
✔ remeda 1,157,796.06 ops/sec ±1.59% (91 runs) -93.22%
✔ ramda 833,131.35 ops/sec ±1.03% (94 runs) -95.12%
✔ rambda 4,222,501.19 ops/sec ±1.53% (92 runs) -75.29%
✔ lodash/fp 393,715.12 ops/sec ±1.58% (89 runs) -97.70%
→ Fastest is @mobily/ts-belt
reject
reject (single function call)
✔ @mobily/ts-belt 23,647,447.72 ops/sec ±0.55% (93 runs) fastest
✔ remeda 1,340,592.96 ops/sec ±0.76% (94 runs) -94.33%
✔ ramda 5,402,203.12 ops/sec ±1.26% (90 runs) -77.16%
✔ rambda 22,536,883.73 ops/sec ±3.16% (87 runs) -4.70%
✔ lodash/fp 3,662,844.53 ops/sec ±1.00% (86 runs) -84.51%
→ Fastest is @mobily/ts-belt
reject (function call inside pipe)
✔ @mobily/ts-belt 15,444,549.57 ops/sec ±1.76% (92 runs) fastest
✔ remeda 1,205,581.58 ops/sec ±1.62% (92 runs) -92.19%
✔ ramda 870,431.32 ops/sec ±1.15% (93 runs) -94.36%
✔ rambda 10,528,691.86 ops/sec ±1.15% (95 runs) -31.83%
✔ lodash/fp 374,746.93 ops/sec ±1.45% (88 runs) -97.57%
→ Fastest is @mobily/ts-belt
intersperse
intersperse (single function call)
✔ @mobily/ts-belt 24,961,389.09 ops/sec ±0.99% (87 runs) -4.13%
✔ ramda 26,036,875.22 ops/sec ±1.94% (88 runs) fastest
✔ rambda 24,011,097.85 ops/sec ±0.17% (95 runs) -7.78%
→ Fastest is ramda
intersperse (function call inside pipe)
✔ @mobily/ts-belt 15,443,215.07 ops/sec ±1.30% (96 runs) fastest
✔ ramda 1,087,986.71 ops/sec ±1.18% (91 runs) -92.95%
✔ rambda 10,584,361.59 ops/sec ±1.85% (89 runs) -31.46%
→ Fastest is @mobily/ts-belt
fromPairs
fromPairs (single function call)
✔ @mobily/ts-belt 9,691,668.71 ops/sec ±0.15% (92 runs) fastest
✔ remeda 8,657,446.12 ops/sec ±0.69% (94 runs) -10.67%
✔ ramda 4,141,590.28 ops/sec ±0.46% (97 runs) -57.27%
✔ rambda 8,585,270.78 ops/sec ±0.57% (97 runs) -11.42%
✔ lodash/fp 7,783,680.45 ops/sec ±1.43% (93 runs) -19.69%
→ Fastest is @mobily/ts-belt
fromPairs (function call inside pipe)
✔ @mobily/ts-belt 10,095,937.81 ops/sec ±0.85% (94 runs) fastest
✔ remeda 7,244,838.16 ops/sec ±0.61% (93 runs) -28.24%
✔ ramda 1,164,397.09 ops/sec ±1.06% (92 runs) -88.47%
✔ rambda 7,225,334.83 ops/sec ±1.11% (92 runs) -28.43%
✔ lodash/fp 1,529,030.84 ops/sec ±0.60% (93 runs) -84.85%
→ Fastest is @mobily/ts-belt
groupBy
groupBy (single function call)
✔ @mobily/ts-belt 3,210,005.43 ops/sec ±0.70% (89 runs) -6.48%
✔ remeda 894,429.79 ops/sec ±1.71% (92 runs) -73.94%
✔ ramda 831,245.94 ops/sec ±1.08% (93 runs) -75.78%
✔ rambda 3,432,249.45 ops/sec ±1.88% (92 runs) fastest
✔ lodash/fp 1,622,411.67 ops/sec ±0.70% (86 runs) -52.73%
→ Fastest is rambda
groupBy (function call inside pipe)
✔ @mobily/ts-belt 2,880,958.29 ops/sec ±1.82% (86 runs) fastest
✔ remeda 894,038.22 ops/sec ±0.45% (96 runs) -68.97%
✔ ramda 509,048.81 ops/sec ±0.45% (96 runs) -82.33%
✔ rambda 2,853,523.41 ops/sec ±1.83% (88 runs) -0.95%
✔ lodash/fp 331,944.54 ops/sec ±1.77% (93 runs) -88.48%
→ Fastest is @mobily/ts-belt
zip
zip (single function call)
✔ @mobily/ts-belt 12,154,934.40 ops/sec ±0.92% (87 runs) fastest
✔ remeda 1,598,037.95 ops/sec ±1.65% (89 runs) -86.85%
✔ ramda 10,014,586.03 ops/sec ±2.10% (86 runs) -17.61%
✔ rambda 10,139,255.11 ops/sec ±2.26% (87 runs) -16.58%
✔ lodash/fp 3,103,317.95 ops/sec ±0.52% (94 runs) -74.47%
→ Fastest is @mobily/ts-belt
zip (function call inside pipe)
✔ @mobily/ts-belt 9,080,073.64 ops/sec ±2.12% (89 runs) fastest
✔ remeda 1,554,766.71 ops/sec ±2.40% (92 runs) -82.88%
✔ ramda 1,124,564.36 ops/sec ±1.42% (95 runs) -87.62%
✔ rambda 6,543,972.82 ops/sec ±1.74% (91 runs) -27.93%
✔ lodash/fp 478,876.82 ops/sec ±1.57% (94 runs) -94.73%
→ Fastest is @mobily/ts-belt
forEach
forEach (single function call)
✔ @mobily/ts-belt 104,464,837.63 ops/sec ±0.38% (86 runs) -21.85%
✔ remeda 1,534,119.70 ops/sec ±0.77% (91 runs) -98.85%
✔ ramda 133,679,905.81 ops/sec ±1.15% (90 runs) fastest
✔ rambda 115,434,895.67 ops/sec ±0.52% (92 runs) -13.65%
✔ lodash/fp 9,068,171.73 ops/sec ±0.70% (93 runs) -93.22%
→ Fastest is ramda
forEach (function call inside pipe)
✔ @mobily/ts-belt 46,652,380.93 ops/sec ±0.51% (92 runs) fastest
✔ remeda 1,367,850.39 ops/sec ±1.44% (94 runs) -97.07%
✔ ramda 1,261,479.50 ops/sec ±1.32% (92 runs) -97.30%
✔ rambda 18,346,015.35 ops/sec ±0.38% (95 runs) -60.68%
✔ lodash/fp 437,512.11 ops/sec ±0.82% (91 runs) -99.06%
→ Fastest is @mobily/ts-belt
uniq
uniq (single function call)
✔ @mobily/ts-belt 11,293,548.68 ops/sec ±1.51% (87 runs) -34.93%
✔ remeda 1,178,868.25 ops/sec ±1.60% (91 runs) -93.21%
✔ ramda 523,459.04 ops/sec ±0.77% (90 runs) -96.98%
✔ rambda 2,736,960.52 ops/sec ±1.55% (88 runs) -84.23%
✔ lodash/fp 17,355,035.74 ops/sec ±0.52% (91 runs) fastest
→ Fastest is lodash/fp
uniq (function call inside pipe)
✔ @mobily/ts-belt 8,276,795.65 ops/sec ±1.23% (82 runs) fastest
✔ remeda 1,193,395.74 ops/sec ±0.82% (91 runs) -85.58%
✔ ramda 391,153.26 ops/sec ±0.79% (95 runs) -95.27%
✔ rambda 2,353,530.56 ops/sec ±1.00% (94 runs) -71.56%
✔ lodash/fp 4,261,301.38 ops/sec ±1.39% (95 runs) -48.52%
→ Fastest is @mobily/ts-belt
toPairs
toPairs (single function call)
✔ @mobily/ts-belt 19,569,203.07 ops/sec ±0.87% (90 runs) -0.90%
✔ remeda 18,621,601.70 ops/sec ±3.29% (87 runs) -4.84%
✔ ramda 5,025,124.64 ops/sec ±1.71% (93 runs) -74.32%
✔ rambda 19,744,368.01 ops/sec ±1.94% (96 runs) fastest
✔ lodash/fp 7,919,229.12 ops/sec ±0.34% (92 runs) -59.53%
→ Fastest is rambda
toPairs (function call inside pipe)
✔ @mobily/ts-belt 19,079,911.51 ops/sec ±0.51% (96 runs) fastest
✔ remeda 11,006,486.03 ops/sec ±0.74% (92 runs) -42.31%
✔ ramda 1,062,883.48 ops/sec ±1.64% (91 runs) -94.43%
✔ rambda 11,449,602.88 ops/sec ±1.85% (97 runs) -39.99%
✔ lodash/fp 2,940,824.50 ops/sec ±1.41% (97 runs) -84.59%
→ Fastest is @mobily/ts-belt
map
map (single function call)
✔ @mobily/ts-belt 46,208,742.57 ops/sec ±0.87% (91 runs) fastest
✔ remeda 1,483,350.48 ops/sec ±0.72% (96 runs) -96.79%
✔ ramda 11,670,389.46 ops/sec ±0.90% (94 runs) -74.74%
✔ rambda 41,576,739.27 ops/sec ±0.58% (94 runs) -10.02%
✔ lodash/fp 7,875,581.31 ops/sec ±0.49% (93 runs) -82.96%
→ Fastest is @mobily/ts-belt
map (function call inside pipe)
✔ @mobily/ts-belt 24,320,434.44 ops/sec ±0.22% (91 runs) fastest
✔ remeda 1,225,599.80 ops/sec ±2.05% (95 runs) -94.96%
✔ ramda 1,042,907.35 ops/sec ±0.80% (96 runs) -95.71%
✔ rambda 13,272,913.88 ops/sec ±1.06% (92 runs) -45.42%
✔ lodash/fp 410,550.21 ops/sec ±1.41% (91 runs) -98.31%
→ Fastest is @mobily/ts-belt
filter
filter (single function call)
✔ @mobily/ts-belt 30,695,201.46 ops/sec ±0.36% (93 runs) fastest
✔ remeda 1,308,072.29 ops/sec ±0.75% (95 runs) -95.74%
✔ ramda 10,174,007.67 ops/sec ±1.29% (92 runs) -66.85%
✔ rambda 29,885,080.73 ops/sec ±1.86% (93 runs) -2.64%
✔ lodash/fp 7,109,821.53 ops/sec ±1.32% (91 runs) -76.84%
→ Fastest is @mobily/ts-belt
filter (function call inside pipe)
✔ @mobily/ts-belt 18,337,667.02 ops/sec ±1.51% (93 runs) fastest
✔ remeda 1,295,429.49 ops/sec ±0.80% (91 runs) -92.94%
✔ ramda 1,087,394.11 ops/sec ±1.30% (90 runs) -94.07%
✔ rambda 11,967,145.42 ops/sec ±0.20% (94 runs) -34.74%
✔ lodash/fp 415,480.96 ops/sec ±1.65% (90 runs) -97.73%
→ Fastest is @mobily/ts-belt
find
find (single function call)
✔ @mobily/ts-belt 89,641,558.44 ops/sec ±0.87% (92 runs) -29.47%
✔ remeda 1,708,334.09 ops/sec ±0.58% (90 runs) -98.66%
✔ ramda 17,346,968.87 ops/sec ±0.48% (95 runs) -86.35%
✔ rambda 127,095,258.50 ops/sec ±1.32% (90 runs) fastest
✔ lodash/fp 5,502,398.86 ops/sec ±0.62% (87 runs) -95.67%
→ Fastest is rambda
find (function call inside pipe)
✔ @mobily/ts-belt 33,470,286.46 ops/sec ±0.35% (92 runs) fastest
✔ remeda 1,446,624.04 ops/sec ±1.83% (89 runs) -95.68%
✔ ramda 1,143,589.43 ops/sec ±1.25% (93 runs) -96.58%
✔ rambda 17,083,487.01 ops/sec ±0.25% (96 runs) -48.96%
✔ lodash/fp 406,488.45 ops/sec ±1.45% (91 runs) -98.79%
→ Fastest is @mobily/ts-belt
splitEvery
splitEvery/chunk (single function call)
✔ @mobily/ts-belt 16,169,339.56 ops/sec ±0.58% (89 runs) fastest
✔ remeda 1,461,142.29 ops/sec ±1.31% (92 runs) -90.96%
✔ ramda 2,917,125.81 ops/sec ±1.40% (94 runs) -81.96%
✔ rambda 9,125,733.89 ops/sec ±1.92% (89 runs) -43.56%
✔ lodash/fp 6,134,925.66 ops/sec ±1.79% (89 runs) -62.06%
→ Fastest is @mobily/ts-belt
splitEvery/chunk (function call inside pipe)
✔ @mobily/ts-belt 11,363,139.60 ops/sec ±1.75% (94 runs) fastest
✔ remeda 1,735,905.14 ops/sec ±1.50% (92 runs) -84.72%
✔ ramda 759,618.29 ops/sec ±0.21% (92 runs) -93.32%
✔ rambda 5,769,486.28 ops/sec ±0.58% (90 runs) -49.23%
✔ lodash/fp 401,174.60 ops/sec ±0.90% (88 runs) -96.47%
→ Fastest is @mobily/ts-belt