MacBook Pro (M1 Max, 2021)
| Processor | Memory | Node | Author |
|---|---|---|---|
| Apple M1 Max | 64 GB | v16.13.0 | @mobily |
map-filter-reduce
map → filter → reduce
✔ @mobily/ts-belt 253,020.17 ops/sec ±0.27% (98 runs) fastest
███████████████████████████████████████████████████████████████████
✔ remeda 26,874.09 ops/sec ±0.64% (95 runs) -89.38%
███████
✔ ramda 134,861.49 ops/sec ±0.22% (98 runs) -46.70%
███████████████████████████████████
✔ rambda 248,049.04 ops/sec ±0.50% (98 runs) -1.96%
█████████████████████████████████████████████████████████████████
✔ lodash/fp 68,317.83 ops/sec ±0.75% (97 runs) -73.00%
██████████████████
✔ native 62,999.60 ops/sec ±1.33% (91 runs) -75.10%
████████████████
→ Fastest is @mobily/ts-belt
deepFlat-uniq-groupBy
deepFlat → uniq → groupBy
✔ @mobily/ts-belt 2,260,876.11 ops/sec ±0.27% (95 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ remeda 524,045.77 ops/sec ±0.28% (100 runs) -76.82%
████████████████
✔ ramda 287,379.79 ops/sec ±0.27% (96 runs) -87.29%
████████
✔ rambda 1,713,783.11 ops/sec ±1.05% (93 runs) -24.20%
█████████████████████████████████████████████████████
✔ lodash/fp 520,560.92 ops/sec ±1.60% (96 runs) -76.98%
████████████████
→ Fastest is @mobily/ts-belt
sort
sort (single function call)
✔ @mobily/ts-belt 5,304,304.19 ops/sec ±0.45% (99 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ remeda 1,693,751.98 ops/sec ±0.28% (96 runs) -68.07%
██████████████████████
✔ ramda 3,091,901.22 ops/sec ±0.22% (101 runs) -41.71%
████████████████████████████████████████
✔ rambda 3,273,591.23 ops/sec ±0.49% (97 runs) -38.28%
███████████████████████████████████████████
✔ native 3,265,209.24 ops/sec ±0.44% (100 runs) -38.44%
███████████████████████████████████████████
→ Fastest is @mobily/ts-belt
sort (function call inside pipe)
✔ @mobily/ts-belt 4,997,760.40 ops/sec ±0.38% (99 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ remeda 1,623,593.44 ops/sec ±0.54% (99 runs) -67.51%
██████████████████████
✔ ramda 1,381,892.32 ops/sec ±0.42% (98 runs) -72.35%
███████████████████
✔ rambda 2,979,291.44 ops/sec ±0.47% (100 runs) -40.39%
█████████████████████████████████████████
✔ native 3,152,820.81 ops/sec ±0.92% (100 runs) -36.92%
████████████████████████████████████████████
→ Fastest is @mobily/ts-belt
unzip
unzip (single function call)
✔ @mobily/ts-belt 49,075,454.44 ops/sec ±0.60% (87 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ ramda 6,952,722.16 ops/sec ±0.22% (101 runs) -85.83%
██████████
✔ rambda 10,544,332.90 ops/sec ±0.17% (102 runs) -78.51%
███████████████
✔ lodash/fp 2,243,420.67 ops/sec ±0.75% (97 runs) -95.43%
███
→ Fastest is @mobily/ts-belt
unzip (function call inside pipe)
✔ @mobily/ts-belt 38,030,212.42 ops/sec ±0.44% (98 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ ramda 2,195,423.78 ops/sec ±0.56% (99 runs) -94.23%
████
✔ rambda 8,854,442.21 ops/sec ±1.05% (94 runs) -76.72%
████████████████
✔ lodash/fp 1,885,820.94 ops/sec ±0.67% (93 runs) -95.04%
███
→ Fastest is @mobily/ts-belt
flat
flat (single function call)
✔ @mobily/ts-belt 30,521,546.89 ops/sec ±0.18% (98 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 3,397,094.10 ops/sec ±0.18% (100 runs) -88.87%
███████
✔ ramda 1,794,248.84 ops/sec ±0.22% (100 runs) -94.12%
████
✔ lodash/fp 16,208,292.07 ops/sec ±0.79% (93 runs) -46.90%
█████████████████████████████████████
✔ native 1,265,762.86 ops/sec ±0.43% (99 runs) -95.85%
██
→ Fastest is @mobily/ts-belt
flat (function call inside pipe)
✔ @mobily/ts-belt 29,150,784.83 ops/sec ±0.97% (96 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,736,715.42 ops/sec ±1.32% (100 runs) -90.61%
██████
✔ ramda 1,082,382.19 ops/sec ±0.37% (96 runs) -96.29%
██
✔ lodash/fp 6,478,409.09 ops/sec ±0.82% (98 runs) -77.78%
███████████████
✔ native 1,255,698.50 ops/sec ±0.28% (100 runs) -95.69%
███
→ Fastest is @mobily/ts-belt
dropWhile
dropWhile (single function call)
✔ @mobily/ts-belt 44,891,033.10 ops/sec ±0.30% (100 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ ramda 15,809,153.73 ops/sec ±0.19% (99 runs) -64.78%
█████████████████████████
✔ rambda 41,319,601.22 ops/sec ±0.39% (96 runs) -7.96%
█████████████████████████████████████████████████████████████████
✔ lodash/fp 12,994,537.13 ops/sec ±0.58% (98 runs) -71.05%
████████████████████
→ Fastest is @mobily/ts-belt
dropWhile (function call inside pipe)
✔ @mobily/ts-belt 33,878,496.63 ops/sec ±1.36% (95 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ ramda 2,123,967.28 ops/sec ±0.42% (100 runs) -93.73%
████
✔ rambda 24,091,434.55 ops/sec ±0.83% (99 runs) -28.89%
██████████████████████████████████████████████████
✔ lodash/fp 1,002,762.99 ops/sec ±1.26% (96 runs) -97.04%
██
→ Fastest is @mobily/ts-belt
takeWhile
takeWhile (single function call)
✔ @mobily/ts-belt 53,724,778.84 ops/sec ±0.15% (98 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ remeda 3,495,654.57 ops/sec ±0.20% (95 runs) -93.49%
████
✔ ramda 16,279,553.13 ops/sec ±0.13% (98 runs) -69.70%
█████████████████████
✔ rambda 48,171,432.50 ops/sec ±1.16% (98 runs) -10.34%
██████████████████████████████████████████████████████████████
✔ lodash/fp 14,119,854.09 ops/sec ±0.71% (98 runs) -73.72%
██████████████████
→ Fastest is @mobily/ts-belt
takeWhile (function call inside pipe)
✔ @mobily/ts-belt 36,340,182.27 ops/sec ±1.00% (100 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 3,384,325.38 ops/sec ±0.74% (97 runs) -90.69%
██████
✔ ramda 2,139,016.63 ops/sec ±0.42% (95 runs) -94.11%
████
✔ rambda 25,363,099.85 ops/sec ±0.88% (95 runs) -30.21%
█████████████████████████████████████████████████
✔ lodash/fp 901,944.10 ops/sec ±1.30% (95 runs) -97.52%
█
→ Fastest is @mobily/ts-belt
difference
difference (single function call)
✔ @mobily/ts-belt 13,187,080.28 ops/sec ±0.32% (97 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ remeda 2,623,301.77 ops/sec ±0.11% (99 runs) -80.11%
█████████████
✔ ramda 5,694,886.94 ops/sec ±0.93% (97 runs) -56.81%
██████████████████████████████
✔ rambda 5,090,995.10 ops/sec ±1.10% (98 runs) -61.39%
███████████████████████████
✔ lodash/fp 5,698,758.00 ops/sec ±0.77% (97 runs) -56.79%
██████████████████████████████
→ Fastest is @mobily/ts-belt
difference (function call inside pipe)
✔ @mobily/ts-belt 11,426,963.94 ops/sec ±0.86% (96 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,448,439.18 ops/sec ±0.96% (94 runs) -78.57%
███████████████
✔ ramda 1,796,078.62 ops/sec ±0.63% (101 runs) -84.28%
███████████
✔ rambda 4,679,785.11 ops/sec ±0.81% (93 runs) -59.05%
█████████████████████████████
✔ lodash/fp 1,023,969.24 ops/sec ±1.15% (99 runs) -91.04%
██████
→ Fastest is @mobily/ts-belt
deepFlat
deepFlat (single function call)
✔ @mobily/ts-belt 17,271,946.01 ops/sec ±0.30% (97 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 1,568,738.76 ops/sec ±0.19% (97 runs) -90.92%
██████
✔ ramda 751,186.22 ops/sec ±0.27% (98 runs) -95.65%
███
✔ rambda 15,336,647.13 ops/sec ±0.70% (101 runs) -11.20%
███████████████████████████████████████████████████████████████
✔ lodash/fp 7,171,289.08 ops/sec ±0.53% (98 runs) -58.48%
█████████████████████████████
✔ native 1,040,974.85 ops/sec ±0.24% (98 runs) -93.97%
████
→ Fastest is @mobily/ts-belt
deepFlat (function call inside pipe)
✔ @mobily/ts-belt 16,822,161.81 ops/sec ±0.62% (95 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 1,295,302.67 ops/sec ±0.97% (101 runs) -92.30%
█████
✔ ramda 579,245.79 ops/sec ±0.43% (101 runs) -96.56%
██
✔ rambda 12,324,644.10 ops/sec ±0.69% (97 runs) -26.74%
████████████████████████████████████████████████████
✔ lodash/fp 4,637,952.82 ops/sec ±0.65% (98 runs) -72.43%
███████████████████
✔ native 1,030,475.28 ops/sec ±0.35% (100 runs) -93.87%
████
→ Fastest is @mobily/ts-belt
reduce
reduce (single function call)
✔ @mobily/ts-belt 44,923,143.29 ops/sec ±0.22% (100 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,786,737.27 ops/sec ±0.13% (100 runs) -93.80%
████
✔ ramda 10,399,793.36 ops/sec ±0.17% (99 runs) -76.85%
████████████████
✔ rambda 15,869,507.41 ops/sec ±1.22% (95 runs) -64.67%
█████████████████████████
✔ lodash/fp 10,341,691.05 ops/sec ±1.27% (96 runs) -76.98%
████████████████
✔ native 16,281,647.70 ops/sec ±0.70% (99 runs) -63.76%
█████████████████████████
→ Fastest is @mobily/ts-belt
reduce (function call inside pipe)
✔ @mobily/ts-belt 29,409,267.75 ops/sec ±0.99% (96 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ remeda 2,673,977.23 ops/sec ±0.76% (98 runs) -90.91%
██████
✔ ramda 1,916,567.87 ops/sec ±0.42% (98 runs) -93.48%
████
✔ rambda 7,816,845.65 ops/sec ±0.91% (98 runs) -73.42%
██████████████████
✔ lodash/fp 991,647.18 ops/sec ±1.26% (98 runs) -96.63%
██
✔ native 13,651,081.54 ops/sec ±0.70% (97 runs) -53.58%
████████████████████████████████
→ Fastest is @mobily/ts-belt
reject
reject (single function call)
✔ @mobily/ts-belt 44,043,265.56 ops/sec ±0.28% (100 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,838,238.27 ops/sec ±0.13% (101 runs) -93.56%
████
✔ ramda 16,223,619.66 ops/sec ±0.62% (95 runs) -63.16%
██████████████████████████
✔ rambda 43,974,630.71 ops/sec ±1.16% (95 runs) -0.16%
██████████████████████████████████████████████████████████████████████
✔ lodash/fp 7,487,452.79 ops/sec ±0.86% (99 runs) -83.00%
████████████
→ Fastest is @mobily/ts-belt
reject (function call inside pipe)
✔ @mobily/ts-belt 30,052,770.73 ops/sec ±0.91% (94 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,481,506.84 ops/sec ±0.35% (100 runs) -91.74%
█████
✔ ramda 2,163,751.46 ops/sec ±0.66% (97 runs) -92.80%
█████
✔ rambda 22,977,125.03 ops/sec ±0.93% (92 runs) -23.54%
██████████████████████████████████████████████████████
✔ lodash/fp 910,975.55 ops/sec ±1.15% (99 runs) -96.97%
██
→ Fastest is @mobily/ts-belt
intersection
intersection (single function call)
✔ @mobily/ts-belt 14,684,862.88 ops/sec ±0.46% (96 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 1,730,733.06 ops/sec ±0.36% (98 runs) -88.21%
████████
✔ ramda 1,232,282.39 ops/sec ±0.42% (97 runs) -91.61%
█████
✔ rambda 11,701,015.26 ops/sec ±0.82% (92 runs) -20.32%
████████████████████████████████████████████████████████
✔ lodash/fp 3,718,001.01 ops/sec ±0.78% (100 runs) -74.68%
█████████████████
→ Fastest is @mobily/ts-belt
intersection (function call inside pipe)
✔ @mobily/ts-belt 14,406,549.94 ops/sec ±1.24% (96 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ remeda 1,622,333.72 ops/sec ±1.04% (90 runs) -88.74%
███████
✔ ramda 800,003.56 ops/sec ±0.81% (95 runs) -94.45%
███
✔ rambda 8,692,796.71 ops/sec ±0.52% (97 runs) -39.66%
██████████████████████████████████████████
✔ lodash/fp 866,442.83 ops/sec ±1.15% (96 runs) -93.99%
████
→ Fastest is @mobily/ts-belt
intersperse
intersperse (single function call)
✔ @mobily/ts-belt 41,860,996.84 ops/sec ±0.39% (96 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ ramda 41,348,267.68 ops/sec ±0.36% (98 runs) -1.22%
█████████████████████████████████████████████████████████████████████
✔ rambda 41,179,340.31 ops/sec ±0.33% (99 runs) -1.63%
████████████████████████████████████████████████████████████████████
→ Fastest is @mobily/ts-belt
intersperse (function call inside pipe)
✔ @mobily/ts-belt 29,276,594.71 ops/sec ±0.93% (96 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ ramda 2,479,197.54 ops/sec ±0.80% (97 runs) -91.53%
█████
✔ rambda 22,286,666.59 ops/sec ±1.00% (92 runs) -23.88%
█████████████████████████████████████████████████████
→ Fastest is @mobily/ts-belt
fromPairs
fromPairs (single function call)
✔ @mobily/ts-belt 19,545,099.13 ops/sec ±0.22% (98 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 18,114,755.39 ops/sec ±0.19% (101 runs) -7.32%
█████████████████████████████████████████████████████████████████
✔ ramda 8,546,903.17 ops/sec ±0.15% (101 runs) -56.27%
███████████████████████████████
✔ rambda 16,636,574.44 ops/sec ±1.51% (94 runs) -14.88%
████████████████████████████████████████████████████████████
✔ lodash/fp 13,862,529.47 ops/sec ±2.19% (95 runs) -29.07%
██████████████████████████████████████████████████
✔ native 14,266,758.48 ops/sec ±1.25% (100 runs) -27.01%
███████████████████████████████████████████████████
→ Fastest is @mobily/ts-belt
fromPairs (function call inside pipe)
✔ @mobily/ts-belt 18,885,110.24 ops/sec ±1.88% (95 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ remeda 13,129,553.22 ops/sec ±0.40% (95 runs) -30.48%
████████████████████████████████████████████████
✔ ramda 2,338,697.80 ops/sec ±0.56% (98 runs) -87.62%
████████
✔ rambda 13,503,459.80 ops/sec ±1.22% (98 runs) -28.50%
██████████████████████████████████████████████████
✔ lodash/fp 2,773,528.32 ops/sec ±1.15% (98 runs) -85.31%
██████████
✔ native 14,228,786.28 ops/sec ±1.50% (97 runs) -24.66%
████████████████████████████████████████████████████
→ Fastest is @mobily/ts-belt
union
union (single function call)
✔ @mobily/ts-belt 14,341,981.87 ops/sec ±0.16% (101 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ ramda 1,163,249.83 ops/sec ±0.13% (96 runs) -91.89%
█████
✔ rambda 11,930,189.41 ops/sec ±0.31% (99 runs) -16.82%
███████████████████████████████████████████████████████████
✔ lodash/fp 4,705,855.87 ops/sec ±1.06% (99 runs) -67.19%
███████████████████████
→ Fastest is @mobily/ts-belt
union (function call inside pipe)
✔ @mobily/ts-belt 11,819,814.63 ops/sec ±0.58% (100 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ ramda 764,493.70 ops/sec ±0.52% (100 runs) -93.53%
████
✔ rambda 9,668,052.86 ops/sec ±0.56% (97 runs) -18.20%
██████████████████████████████████████████████████████████
✔ lodash/fp 942,912.40 ops/sec ±1.22% (100 runs) -92.02%
█████
→ Fastest is @mobily/ts-belt
groupBy
groupBy (single function call)
✔ @mobily/ts-belt 6,618,284.06 ops/sec ±0.16% (101 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ remeda 1,887,881.31 ops/sec ±0.18% (96 runs) -71.47%
███████████████████
✔ ramda 1,715,705.70 ops/sec ±0.16% (101 runs) -74.08%
██████████████████
✔ rambda 6,246,372.24 ops/sec ±1.54% (100 runs) -5.62%
██████████████████████████████████████████████████████████████████
✔ lodash/fp 3,251,346.92 ops/sec ±0.34% (97 runs) -50.87%
██████████████████████████████████
→ Fastest is @mobily/ts-belt
groupBy (function call inside pipe)
✔ @mobily/ts-belt 5,930,680.92 ops/sec ±1.14% (90 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ remeda 1,787,348.96 ops/sec ±0.97% (97 runs) -69.86%
█████████████████████
✔ ramda 945,708.15 ops/sec ±0.72% (95 runs) -84.05%
███████████
✔ rambda 5,312,063.54 ops/sec ±1.00% (101 runs) -10.43%
██████████████████████████████████████████████████████████████
✔ lodash/fp 820,030.11 ops/sec ±1.15% (100 runs) -86.17%
█████████
→ Fastest is @mobily/ts-belt
zip
zip (single function call)
✔ @mobily/ts-belt 25,958,856.92 ops/sec ±0.15% (94 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 3,159,148.92 ops/sec ±0.31% (99 runs) -87.83%
████████
✔ ramda 22,497,101.13 ops/sec ±0.11% (100 runs) -13.34%
█████████████████████████████████████████████████████████████
✔ rambda 21,713,051.80 ops/sec ±2.33% (100 runs) -16.36%
███████████████████████████████████████████████████████████
✔ lodash/fp 4,450,925.88 ops/sec ±1.10% (101 runs) -82.85%
████████████
→ Fastest is @mobily/ts-belt
zip (function call inside pipe)
✔ @mobily/ts-belt 17,236,945.56 ops/sec ±1.58% (95 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ remeda 3,083,228.32 ops/sec ±0.35% (98 runs) -82.11%
████████████
✔ ramda 2,295,488.25 ops/sec ±0.91% (96 runs) -86.68%
█████████
✔ rambda 14,201,168.34 ops/sec ±1.63% (94 runs) -17.61%
█████████████████████████████████████████████████████████
✔ lodash/fp 972,989.85 ops/sec ±0.37% (98 runs) -94.36%
███
→ Fastest is @mobily/ts-belt
forEach
forEach (single function call)
✔ @mobily/ts-belt 156,203,911.02 ops/sec ±0.12% (99 runs) -0.14%
███████████████████████████████████████████████████████████████████████
✔ remeda 3,201,055.95 ops/sec ±0.60% (98 runs) -97.95%
█
✔ ramda 153,583,896.69 ops/sec ±0.95% (99 runs) -1.82%
██████████████████████████████████████████████████████████████████████
✔ rambda 156,428,240.76 ops/sec ±0.13% (100 runs) fastest
████████████████████████████████████████████████████████████████████████
✔ lodash/fp 8,487,633.99 ops/sec ±0.53% (98 runs) -94.57%
███
✔ native 24,436,840.87 ops/sec ±0.19% (102 runs) -84.38%
███████████
→ Fastest is rambda
forEach (function call inside pipe)
✔ @mobily/ts-belt 86,407,632.84 ops/sec ±0.37% (98 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ remeda 2,567,929.51 ops/sec ±0.98% (99 runs) -97.03%
██
✔ ramda 2,553,884.53 ops/sec ±0.45% (97 runs) -97.04%
██
✔ rambda 42,539,075.88 ops/sec ±0.22% (96 runs) -50.77%
██████████████████████████████████
✔ lodash/fp 948,212.86 ops/sec ±1.22% (96 runs) -98.90%
✔ native 18,887,983.87 ops/sec ±0.41% (97 runs) -78.14%
███████████████
→ Fastest is @mobily/ts-belt
uniq
uniq (single function call)
✔ @mobily/ts-belt 18,214,089.85 ops/sec ±0.38% (97 runs) -24.10%
█████████████████████████████████████████████████████
✔ remeda 2,307,585.92 ops/sec ±0.19% (99 runs) -90.38%
██████
✔ ramda 1,037,891.27 ops/sec ±0.13% (99 runs) -95.68%
███
✔ rambda 4,609,863.49 ops/sec ±0.57% (98 runs) -80.79%
█████████████
✔ lodash/fp 23,998,922.39 ops/sec ±1.09% (94 runs) fastest
██████████████████████████████████████████████████████████████████████
→ Fastest is lodash/fp
uniq (function call inside pipe)
✔ @mobily/ts-belt 17,531,162.97 ops/sec ±0.78% (96 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ remeda 2,322,689.85 ops/sec ±0.95% (95 runs) -86.75%
█████████
✔ ramda 746,778.52 ops/sec ±0.64% (99 runs) -95.74%
██
✔ rambda 3,779,744.56 ops/sec ±0.73% (99 runs) -78.44%
███████████████
✔ lodash/fp 8,137,641.36 ops/sec ±1.02% (94 runs) -53.58%
████████████████████████████████
→ Fastest is @mobily/ts-belt
toPairs
toPairs (single function call)
✔ @mobily/ts-belt 43,143,569.14 ops/sec ±0.23% (99 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 42,581,794.99 ops/sec ±0.50% (100 runs) -1.30%
██████████████████████████████████████████████████████████████████████
✔ ramda 10,981,148.87 ops/sec ±0.32% (97 runs) -74.55%
██████████████████
✔ rambda 41,002,721.94 ops/sec ±1.79% (94 runs) -4.96%
███████████████████████████████████████████████████████████████████
✔ lodash/fp 12,176,002.61 ops/sec ±1.70% (94 runs) -71.78%
████████████████████
✔ native 42,315,986.34 ops/sec ±0.63% (94 runs) -1.92%
█████████████████████████████████████████████████████████████████████
→ Fastest is @mobily/ts-belt
toPairs (function call inside pipe)
✔ @mobily/ts-belt 41,353,750.37 ops/sec ±1.73% (97 runs) -1.18%
██████████████████████████████████████████████████████████████████████
✔ remeda 23,573,721.71 ops/sec ±1.51% (99 runs) -43.67%
███████████████████████████████████████
✔ ramda 2,533,467.16 ops/sec ±0.64% (97 runs) -93.95%
████
✔ rambda 25,327,785.25 ops/sec ±1.39% (98 runs) -39.48%
██████████████████████████████████████████
✔ lodash/fp 5,888,801.90 ops/sec ±1.05% (98 runs) -85.93%
█████████
✔ native 41,848,882.59 ops/sec ±0.34% (101 runs) fastest
███████████████████████████████████████████████████████████████████████
→ Fastest is native,@mobily/ts-belt
map
map (single function call)
✔ @mobily/ts-belt 82,645,624.26 ops/sec ±0.67% (99 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 3,091,702.97 ops/sec ±0.85% (96 runs) -96.26%
██
✔ ramda 20,514,451.43 ops/sec ±0.46% (100 runs) -75.18%
█████████████████
✔ rambda 81,425,464.99 ops/sec ±0.89% (89 runs) -1.48%
█████████████████████████████████████████████████████████████████████
✔ lodash/fp 13,251,776.36 ops/sec ±0.83% (100 runs) -83.97%
███████████
✔ native 18,204,725.08 ops/sec ±0.36% (98 runs) -77.97%
███████████████
→ Fastest is @mobily/ts-belt
map (function call inside pipe)
✔ @mobily/ts-belt 48,997,264.06 ops/sec ±0.47% (98 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,533,638.34 ops/sec ±0.96% (91 runs) -94.83%
███
✔ ramda 2,301,456.00 ops/sec ±0.52% (100 runs) -95.30%
███
✔ rambda 33,900,489.21 ops/sec ±0.45% (99 runs) -30.81%
█████████████████████████████████████████████████
✔ lodash/fp 902,639.27 ops/sec ±1.12% (101 runs) -98.16%
█
✔ native 15,107,073.31 ops/sec ±0.49% (96 runs) -69.17%
█████████████████████
→ Fastest is @mobily/ts-belt
filter
filter (single function call)
✔ @mobily/ts-belt 48,440,819.15 ops/sec ±0.53% (100 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,773,584.36 ops/sec ±0.18% (100 runs) -94.27%
████
✔ ramda 17,289,091.19 ops/sec ±0.14% (101 runs) -64.31%
█████████████████████████
✔ rambda 47,109,967.97 ops/sec ±1.19% (97 runs) -2.75%
█████████████████████████████████████████████████████████████████████
✔ lodash/fp 7,599,130.60 ops/sec ±0.89% (98 runs) -84.31%
███████████
✔ native 15,283,174.90 ops/sec ±0.66% (94 runs) -68.45%
██████████████████████
→ Fastest is @mobily/ts-belt
filter (function call inside pipe)
✔ @mobily/ts-belt 36,306,235.07 ops/sec ±1.01% (97 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,483,253.65 ops/sec ±0.87% (99 runs) -93.16%
████
✔ ramda 2,279,818.10 ops/sec ±0.50% (100 runs) -93.72%
████
✔ rambda 25,926,233.91 ops/sec ±0.82% (99 runs) -28.59%
██████████████████████████████████████████████████
✔ lodash/fp 906,913.60 ops/sec ±1.15% (97 runs) -97.50%
█
✔ native 13,652,052.41 ops/sec ±0.62% (101 runs) -62.40%
██████████████████████████
→ Fastest is @mobily/ts-belt
find
find (single function call)
✔ @mobily/ts-belt 147,374,562.75 ops/sec ±0.74% (100 runs) -5.14%
████████████████████████████████████████████████████████████████████
✔ remeda 3,519,269.73 ops/sec ±0.52% (97 runs) -97.73%
█
✔ ramda 30,505,829.82 ops/sec ±0.52% (98 runs) -80.36%
██████████████
✔ rambda 155,354,649.55 ops/sec ±0.25% (100 runs) fastest
████████████████████████████████████████████████████████████████████████
✔ lodash/fp 9,476,441.72 ops/sec ±0.48% (96 runs) -93.90%
████
✔ native 34,590,309.13 ops/sec ±0.18% (100 runs) -77.73%
████████████████
→ Fastest is rambda
find (function call inside pipe)
✔ @mobily/ts-belt 79,354,816.28 ops/sec ±0.71% (96 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,857,336.27 ops/sec ±0.92% (98 runs) -96.40%
██
✔ ramda 2,401,157.43 ops/sec ±0.53% (96 runs) -96.97%
██
✔ rambda 39,859,500.58 ops/sec ±0.33% (99 runs) -49.77%
███████████████████████████████████
✔ lodash/fp 933,667.63 ops/sec ±1.11% (100 runs) -98.82%
✔ native 25,330,641.20 ops/sec ±0.27% (97 runs) -68.08%
██████████████████████
→ Fastest is @mobily/ts-belt
splitEvery
splitEvery/chunk (single function call)
✔ @mobily/ts-belt 26,832,553.74 ops/sec ±0.30% (91 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,981,539.91 ops/sec ±0.17% (100 runs) -88.89%
███████
✔ ramda 9,808,008.42 ops/sec ±1.02% (95 runs) -63.45%
█████████████████████████
✔ rambda 13,787,116.22 ops/sec ±1.09% (99 runs) -48.62%
████████████████████████████████████
✔ lodash/fp 11,390,930.87 ops/sec ±1.36% (94 runs) -57.55%
██████████████████████████████
→ Fastest is @mobily/ts-belt
splitEvery/chunk (function call inside pipe)
✔ @mobily/ts-belt 21,023,369.46 ops/sec ±0.59% (93 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ remeda 3,632,436.59 ops/sec ±1.01% (98 runs) -82.72%
████████████
✔ ramda 1,816,579.43 ops/sec ±0.52% (96 runs) -91.36%
██████
✔ rambda 10,651,228.05 ops/sec ±1.08% (91 runs) -49.34%
███████████████████████████████████
✔ lodash/fp 995,721.52 ops/sec ±1.19% (99 runs) -95.26%
███
→ Fastest is @mobily/ts-belt