MacBook Pro (2017)
| Processor | Memory | Node | Author |
|---|---|---|---|
| 2,9 GHz Quad-Core Intel Core i7 | 16 GB 2133 MHz LPDDR3 | v16.10.0 | @mobily |
map-filter-reduce
map → filter → reduce
✔ @mobily/ts-belt 174,586.96 ops/sec ±1.99% (93 runs) fastest
✔ remeda 13,116.12 ops/sec ±3.90% (87 runs) -92.49%
✔ ramda 71,726.53 ops/sec ±2.74% (91 runs) -58.92%
✔ rambda 155,236.83 ops/sec ±2.77% (89 runs) -11.08%
✔ lodash/fp 52,088.08 ops/sec ±2.34% (92 runs) -70.16%
→ Fastest is @mobily/ts-belt
deepFlat-uniq-groupBy
deepFlat → uniq → groupBy
✔ @mobily/ts-belt 1,057,091.24 ops/sec ±1.83% (90 runs) fastest
✔ remeda 212,327.21 ops/sec ±3.93% (89 runs) -79.91%
✔ ramda 120,122.01 ops/sec ±3.83% (86 runs) -88.64%
✔ rambda 806,321.94 ops/sec ±2.21% (95 runs) -23.72%
✔ lodash/fp 196,049.03 ops/sec ±2.59% (91 runs) -81.45%
→ Fastest is @mobily/ts-belt
sort
sort (single function call)
✔ @mobily/ts-belt 2,342,902.79 ops/sec ±2.94% (92 runs) fastest
✔ remeda 680,628.60 ops/sec ±2.38% (91 runs) -70.95%
✔ ramda 1,453,866.82 ops/sec ±1.04% (91 runs) -37.95%
✔ rambda 1,558,904.88 ops/sec ±1.48% (94 runs) -33.46%
✔ lodash/fp 740,105.75 ops/sec ±3.53% (92 runs) -68.41%
→ Fastest is @mobily/ts-belt
sort (function call inside pipe)
✔ @mobily/ts-belt 2,727,776.33 ops/sec ±2.14% (93 runs) fastest
✔ remeda 624,808.97 ops/sec ±2.26% (88 runs) -77.09%
✔ ramda 565,664.01 ops/sec ±2.86% (92 runs) -79.26%
✔ rambda 1,350,736.41 ops/sec ±2.12% (88 runs) -50.48%
✔ lodash/fp 275,162.63 ops/sec ±2.19% (92 runs) -89.91%
→ Fastest is @mobily/ts-belt
unzip
unzip (single function call)
✔ @mobily/ts-belt 24,515,360.07 ops/sec ±2.01% (89 runs) fastest
✔ lodash/fp 1,045,603.53 ops/sec ±2.83% (91 runs) -95.73%
→ Fastest is @mobily/ts-belt
unzip (function call inside pipe)
✔ @mobily/ts-belt 16,856,001.30 ops/sec ±3.69% (85 runs) fastest
✔ lodash/fp 906,383.46 ops/sec ±2.08% (94 runs) -94.62%
→ Fastest is @mobily/ts-belt
flat
flat (single function call)
✔ @mobily/ts-belt 16,342,074.09 ops/sec ±1.41% (92 runs) fastest
✔ remeda 1,359,050.04 ops/sec ±3.12% (87 runs) -91.68%
✔ ramda 760,381.12 ops/sec ±2.94% (90 runs) -95.35%
✔ rambda 9,121,410.45 ops/sec ±2.52% (88 runs) -44.18%
✔ lodash/fp 8,235,742.34 ops/sec ±3.05% (91 runs) -49.60%
→ Fastest is @mobily/ts-belt
flat (function call inside pipe)
✔ @mobily/ts-belt 15,071,875.84 ops/sec ±3.01% (90 runs) fastest
✔ remeda 1,284,643.23 ops/sec ±2.33% (95 runs) -91.48%
✔ ramda 487,212.19 ops/sec ±2.52% (94 runs) -96.77%
✔ rambda 7,077,146.00 ops/sec ±2.05% (94 runs) -53.04%
✔ lodash/fp 3,427,124.37 ops/sec ±3.43% (93 runs) -77.26%
→ Fastest is @mobily/ts-belt
dropWhile
dropWhile (single function call)
✔ @mobily/ts-belt 27,046,697.47 ops/sec ±1.48% (94 runs) fastest
✔ ramda 6,623,416.41 ops/sec ±3.44% (88 runs) -75.51%
✔ rambda 21,227,701.20 ops/sec ±2.98% (85 runs) -21.51%
✔ lodash/fp 5,921,925.06 ops/sec ±3.39% (89 runs) -78.10%
→ Fastest is @mobily/ts-belt
dropWhile (function call inside pipe)
✔ @mobily/ts-belt 15,491,136.46 ops/sec ±2.28% (90 runs) fastest
✔ ramda 897,477.91 ops/sec ±2.90% (92 runs) -94.21%
✔ rambda 11,173,950.93 ops/sec ±3.25% (92 runs) -27.87%
✔ lodash/fp 367,837.66 ops/sec ±2.45% (95 runs) -97.63%
→ Fastest is @mobily/ts-belt
takeWhile
takeWhile (single function call)
✔ @mobily/ts-belt 29,379,123.09 ops/sec ±2.64% (90 runs) fastest
✔ remeda 1,469,587.22 ops/sec ±2.37% (91 runs) -95.00%
✔ ramda 7,174,944.94 ops/sec ±3.41% (89 runs) -75.58%
✔ rambda 22,897,148.06 ops/sec ±3.09% (87 runs) -22.06%
✔ lodash/fp 6,773,965.51 ops/sec ±1.54% (96 runs) -76.94%
→ Fastest is @mobily/ts-belt
takeWhile (function call inside pipe)
✔ @mobily/ts-belt 16,628,531.12 ops/sec ±2.42% (88 runs) fastest
✔ remeda 1,371,794.70 ops/sec ±2.96% (91 runs) -91.75%
✔ ramda 873,263.60 ops/sec ±2.89% (93 runs) -94.75%
✔ rambda 10,990,444.17 ops/sec ±2.80% (93 runs) -33.91%
✔ lodash/fp 302,103.02 ops/sec ±4.23% (86 runs) -98.18%
→ Fastest is @mobily/ts-belt
deepFlat
deepFlat (single function call)
✔ @mobily/ts-belt 9,578,337.48 ops/sec ±2.69% (91 runs) fastest
✔ remeda 591,977.18 ops/sec ±4.01% (88 runs) -93.82%
✔ ramda 312,107.56 ops/sec ±2.89% (89 runs) -96.74%
✔ rambda 9,192,197.77 ops/sec ±2.25% (90 runs) -4.03%
✔ lodash/fp 3,880,407.90 ops/sec ±2.74% (92 runs) -59.49%
→ Fastest is @mobily/ts-belt
deepFlat (function call inside pipe)
✔ @mobily/ts-belt 9,321,041.36 ops/sec ±2.81% (90 runs) fastest
✔ remeda 526,670.26 ops/sec ±3.16% (91 runs) -94.35%
✔ ramda 249,516.64 ops/sec ±3.31% (93 runs) -97.32%
✔ rambda 7,040,220.02 ops/sec ±2.79% (92 runs) -24.47%
✔ lodash/fp 2,344,753.07 ops/sec ±3.01% (88 runs) -74.84%
→ Fastest is @mobily/ts-belt
reduce
reduce (single function call)
✔ @mobily/ts-belt 24,136,722.97 ops/sec ±4.39% (86 runs) fastest
✔ remeda 1,170,438.33 ops/sec ±3.27% (91 runs) -95.15%
✔ ramda 4,243,390.23 ops/sec ±3.28% (86 runs) -82.42%
✔ rambda 8,157,233.88 ops/sec ±3.44% (90 runs) -66.20%
✔ lodash/fp 4,700,997.08 ops/sec ±3.39% (94 runs) -80.52%
→ Fastest is @mobily/ts-belt
reduce (function call inside pipe)
✔ @mobily/ts-belt 15,071,997.41 ops/sec ±3.12% (90 runs) fastest
✔ remeda 1,099,427.39 ops/sec ±2.16% (90 runs) -92.71%
✔ ramda 802,059.71 ops/sec ±2.63% (92 runs) -94.68%
✔ rambda 3,547,128.61 ops/sec ±3.08% (89 runs) -76.47%
✔ lodash/fp 377,156.87 ops/sec ±2.84% (93 runs) -97.50%
→ Fastest is @mobily/ts-belt
reject
reject (single function call)
✔ @mobily/ts-belt 21,498,852.93 ops/sec ±2.06% (86 runs) fastest
✔ remeda 1,154,208.37 ops/sec ±3.17% (90 runs) -94.63%
✔ ramda 7,413,977.19 ops/sec ±3.47% (90 runs) -65.51%
✔ rambda 19,983,445.66 ops/sec ±3.42% (87 runs) -7.05%
✔ lodash/fp 3,623,279.75 ops/sec ±2.23% (93 runs) -83.15%
→ Fastest is @mobily/ts-belt
reject (function call inside pipe)
✔ @mobily/ts-belt 13,132,207.54 ops/sec ±3.08% (88 runs) fastest
✔ remeda 1,048,665.66 ops/sec ±5.37% (94 runs) -92.01%
✔ ramda 879,398.52 ops/sec ±4.22% (92 runs) -93.30%
✔ rambda 10,068,853.91 ops/sec ±2.83% (89 runs) -23.33%
✔ lodash/fp 301,532.19 ops/sec ±4.81% (85 runs) -97.70%
→ Fastest is @mobily/ts-belt
intersperse
intersperse (single function call)
✔ @mobily/ts-belt 23,266,507.91 ops/sec ±2.12% (91 runs) fastest
✔ ramda 23,093,193.78 ops/sec ±3.37% (92 runs) -0.74%
✔ rambda 21,735,925.04 ops/sec ±2.79% (92 runs) -6.58%
→ Fastest is @mobily/ts-belt
intersperse (function call inside pipe)
✔ @mobily/ts-belt 14,274,569.21 ops/sec ±2.57% (92 runs) fastest
✔ ramda 1,007,510.98 ops/sec ±2.87% (92 runs) -92.94%
✔ rambda 10,340,691.52 ops/sec ±3.31% (87 runs) -27.56%
→ Fastest is @mobily/ts-belt
fromPairs
fromPairs (single function call)
✔ @mobily/ts-belt 8,771,034.20 ops/sec ±3.49% (89 runs) fastest
✔ remeda 7,792,905.88 ops/sec ±3.89% (89 runs) -11.15%
✔ ramda 3,665,662.04 ops/sec ±3.23% (88 runs) -58.21%
✔ rambda 7,467,129.26 ops/sec ±3.76% (90 runs) -14.87%
✔ lodash/fp 6,167,886.12 ops/sec ±3.34% (94 runs) -29.68%
→ Fastest is @mobily/ts-belt
fromPairs (function call inside pipe)
✔ @mobily/ts-belt 8,469,510.08 ops/sec ±3.39% (91 runs) fastest
✔ remeda 5,630,118.71 ops/sec ±4.63% (89 runs) -33.52%
✔ ramda 965,570.65 ops/sec ±2.91% (90 runs) -88.60%
✔ rambda 5,710,875.53 ops/sec ±4.33% (90 runs) -32.57%
✔ lodash/fp 1,196,520.53 ops/sec ±3.27% (89 runs) -85.87%
→ Fastest is @mobily/ts-belt
groupBy
groupBy (single function call)
✔ @mobily/ts-belt 2,713,069.26 ops/sec ±3.37% (89 runs) fastest
✔ remeda 738,900.30 ops/sec ±4.28% (86 runs) -72.77%
✔ ramda 639,761.90 ops/sec ±3.34% (93 runs) -76.42%
✔ rambda 2,672,057.78 ops/sec ±3.37% (91 runs) -1.51%
✔ lodash/fp 1,440,973.69 ops/sec ±2.63% (94 runs) -46.89%
→ Fastest is @mobily/ts-belt
groupBy (function call inside pipe)
✔ @mobily/ts-belt 2,412,819.39 ops/sec ±3.92% (93 runs) fastest
✔ remeda 679,154.63 ops/sec ±3.24% (91 runs) -71.85%
✔ ramda 420,363.33 ops/sec ±2.89% (94 runs) -82.58%
✔ rambda 2,141,147.95 ops/sec ±3.81% (91 runs) -11.26%
✔ lodash/fp 300,628.50 ops/sec ±3.63% (93 runs) -87.54%
→ Fastest is @mobily/ts-belt
zip
zip (single function call)
✔ @mobily/ts-belt 10,703,016.96 ops/sec ±3.50% (89 runs) fastest
✔ remeda 1,243,156.85 ops/sec ±4.56% (88 runs) -88.38%
✔ ramda 8,104,619.22 ops/sec ±4.11% (85 runs) -24.28%
✔ rambda 8,651,600.47 ops/sec ±3.00% (88 runs) -19.17%
✔ lodash/fp 2,470,051.95 ops/sec ±3.88% (89 runs) -76.92%
→ Fastest is @mobily/ts-belt
zip (function call inside pipe)
✔ @mobily/ts-belt 7,811,057.07 ops/sec ±3.44% (87 runs) fastest
✔ remeda 1,243,509.19 ops/sec ±3.98% (91 runs) -84.08%
✔ ramda 913,467.22 ops/sec ±3.49% (92 runs) -88.31%
✔ rambda 5,680,893.36 ops/sec ±3.88% (88 runs) -27.27%
✔ lodash/fp 396,866.17 ops/sec ±3.50% (93 runs) -94.92%
→ Fastest is @mobily/ts-belt
forEach
forEach (single function call)
✔ @mobily/ts-belt 98,619,793.23 ops/sec ±0.82% (93 runs) -7.01%
✔ remeda 1,302,858.26 ops/sec ±3.45% (88 runs) -98.77%
✔ ramda 106,052,003.63 ops/sec ±1.47% (90 runs) fastest
✔ rambda 97,350,928.72 ops/sec ±1.20% (93 runs) -8.20%
✔ lodash/fp 6,117,304.35 ops/sec ±8.00% (80 runs) -94.23%
→ Fastest is ramda
forEach (function call inside pipe)
✔ @mobily/ts-belt 35,183,893.70 ops/sec ±3.48% (86 runs) fastest
✔ remeda 1,155,933.08 ops/sec ±2.59% (92 runs) -96.71%
✔ ramda 1,116,545.38 ops/sec ±3.16% (94 runs) -96.83%
✔ rambda 17,569,426.79 ops/sec ±4.06% (88 runs) -50.06%
✔ lodash/fp 377,910.60 ops/sec ±4.11% (90 runs) -98.93%
→ Fastest is @mobily/ts-belt
uniq
uniq (single function call)
✔ @mobily/ts-belt 10,576,220.11 ops/sec ±1.83% (93 runs) -10.98%
✔ remeda 940,613.98 ops/sec ±2.77% (90 runs) -92.08%
✔ ramda 463,401.23 ops/sec ±2.00% (88 runs) -96.10%
✔ rambda 2,417,650.07 ops/sec ±0.55% (94 runs) -79.65%
✔ lodash/fp 11,880,180.47 ops/sec ±2.62% (92 runs) fastest
→ Fastest is lodash/fp
uniq (function call inside pipe)
✔ @mobily/ts-belt 9,837,425.02 ops/sec ±3.83% (81 runs) fastest
✔ remeda 1,072,382.65 ops/sec ±3.64% (92 runs) -89.10%
✔ ramda 351,172.93 ops/sec ±4.29% (89 runs) -96.43%
✔ rambda 1,829,725.41 ops/sec ±2.85% (94 runs) -81.40%
✔ lodash/fp 4,197,703.67 ops/sec ±4.29% (93 runs) -57.33%
→ Fastest is @mobily/ts-belt
toPairs
toPairs (single function call)
✔ @mobily/ts-belt 15,759,801.15 ops/sec ±4.81% (85 runs) fastest
✔ remeda 14,281,044.65 ops/sec ±6.23% (78 runs) -9.38%
✔ ramda 4,355,137.41 ops/sec ±3.69% (86 runs) -72.37%
✔ rambda 15,631,702.94 ops/sec ±4.61% (85 runs) -0.81%
✔ lodash/fp 6,709,574.96 ops/sec ±3.56% (91 runs) -57.43%
→ Fastest is @mobily/ts-belt
toPairs (function call inside pipe)
✔ @mobily/ts-belt 15,882,321.16 ops/sec ±3.86% (85 runs) fastest
✔ remeda 9,336,455.38 ops/sec ±2.87% (90 runs) -41.21%
✔ ramda 1,028,707.89 ops/sec ±2.58% (91 runs) -93.52%
✔ rambda 4,713,875.23 ops/sec ±33.00% (48 runs) -70.32%
✔ lodash/fp 2,600,464.69 ops/sec ±4.04% (87 runs) -83.63%
→ Fastest is @mobily/ts-belt
map
map (single function call)
✔ @mobily/ts-belt 43,776,354.05 ops/sec ±2.19% (92 runs) fastest
✔ remeda 1,301,203.71 ops/sec ±2.74% (88 runs) -97.03%
✔ ramda 7,572,353.31 ops/sec ±0.78% (92 runs) -82.70%
✔ rambda 42,277,297.61 ops/sec ±1.57% (90 runs) -3.42%
✔ lodash/fp 6,086,942.45 ops/sec ±2.11% (89 runs) -86.10%
→ Fastest is @mobily/ts-belt
map (function call inside pipe)
✔ @mobily/ts-belt 19,762,546.94 ops/sec ±3.83% (81 runs) fastest
✔ remeda 1,005,068.46 ops/sec ±3.98% (86 runs) -94.91%
✔ ramda 978,699.34 ops/sec ±3.44% (89 runs) -95.05%
✔ rambda 14,017,929.31 ops/sec ±3.67% (89 runs) -29.07%
✔ lodash/fp 332,616.19 ops/sec ±4.28% (92 runs) -98.32%
→ Fastest is @mobily/ts-belt
filter
filter (single function call)
✔ @mobily/ts-belt 24,270,004.22 ops/sec ±4.26% (83 runs) -5.42%
✔ remeda 1,049,232.09 ops/sec ±4.11% (86 runs) -95.91%
✔ ramda 7,907,139.30 ops/sec ±4.49% (86 runs) -69.19%
✔ rambda 25,661,985.69 ops/sec ±4.30% (84 runs) fastest
✔ lodash/fp 5,764,724.08 ops/sec ±3.01% (93 runs) -77.54%
→ Fastest is rambda
filter (function call inside pipe)
✔ @mobily/ts-belt 15,266,034.26 ops/sec ±4.39% (85 runs) fastest
✔ remeda 870,164.79 ops/sec ±8.76% (81 runs) -94.30%
✔ ramda 848,166.22 ops/sec ±4.56% (82 runs) -94.44%
✔ rambda 10,648,006.37 ops/sec ±5.65% (82 runs) -30.25%
✔ lodash/fp 334,474.60 ops/sec ±5.08% (84 runs) -97.81%
→ Fastest is @mobily/ts-belt
find
find (single function call)
✔ @mobily/ts-belt 77,150,743.85 ops/sec ±2.13% (93 runs) -25.93%
✔ remeda 1,317,002.32 ops/sec ±4.09% (82 runs) -98.74%
✔ ramda 13,225,846.58 ops/sec ±1.07% (86 runs) -87.30%
✔ rambda 104,160,290.82 ops/sec ±0.33% (96 runs) fastest
✔ lodash/fp 5,498,068.11 ops/sec ±0.68% (95 runs) -94.72%
→ Fastest is rambda
find (function call inside pipe)
✔ @mobily/ts-belt 29,992,903.02 ops/sec ±4.23% (83 runs) fastest
✔ remeda 1,214,535.78 ops/sec ±4.77% (86 runs) -95.95%
✔ ramda 993,708.95 ops/sec ±4.09% (90 runs) -96.69%
✔ rambda 17,979,082.58 ops/sec ±3.57% (88 runs) -40.06%
✔ lodash/fp 365,852.77 ops/sec ±3.71% (92 runs) -98.78%
→ Fastest is @mobily/ts-belt
splitEvery
splitEvery/chunk (single function call)
✔ @mobily/ts-belt 14,331,548.23 ops/sec ±3.94% (88 runs) fastest
✔ remeda 1,091,974.62 ops/sec ±5.53% (77 runs) -92.38%
✔ ramda 4,416,427.42 ops/sec ±3.87% (83 runs) -69.18%
✔ rambda 6,982,444.17 ops/sec ±4.18% (85 runs) -51.28%
✔ lodash/fp 4,752,714.16 ops/sec ±3.67% (93 runs) -66.84%
→ Fastest is @mobily/ts-belt
splitEvery/chunk (function call inside pipe)
✔ @mobily/ts-belt 9,932,350.55 ops/sec ±3.59% (88 runs) fastest
✔ remeda 1,430,077.84 ops/sec ±4.68% (86 runs) -85.60%
✔ ramda 711,053.17 ops/sec ±3.87% (89 runs) -92.84%
✔ rambda 4,806,374.37 ops/sec ±3.76% (81 runs) -51.61%
✔ lodash/fp 333,983.34 ops/sec ±4.29% (88 runs) -96.64%
→ Fastest is @mobily/ts-belt