MacBook Air (M1, 2020)
| Processor | Memory | Node | Author |
|---|---|---|---|
| Apple M1 | 16 GB LPDDR4 | v16.7.0 | @Pyrolistical |
map-filter-reduce
map → filter → reduce
✔ @mobily/ts-belt 249,279.89 ops/sec ±0.39% (100 runs) fastest
████████████████████████████████████████████████████████████████████
✔ remeda 24,276.97 ops/sec ±1.80% (91 runs) -90.26%
██████
✔ ramda 130,054.37 ops/sec ±0.49% (93 runs) -47.83%
███████████████████████████████████
✔ rambda 242,564.92 ops/sec ±0.46% (100 runs) -2.69%
██████████████████████████████████████████████████████████████████
✔ lodash/fp 100,021.50 ops/sec ±0.64% (100 runs) -59.88%
███████████████████████████
✔ native 59,209.26 ops/sec ±1.06% (96 runs) -76.25%
████████████████
→ Fastest is @mobily/ts-belt
deepFlat-uniq-groupBy
deepFlat → uniq → groupBy
✔ @mobily/ts-belt 2,200,954.95 ops/sec ±0.11% (101 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ remeda 488,828.04 ops/sec ±2.53% (94 runs) -77.79%
███████████████
✔ ramda 278,201.62 ops/sec ±0.89% (95 runs) -87.36%
████████
✔ rambda 1,724,662.98 ops/sec ±0.91% (101 runs) -21.64%
██████████████████████████████████████████████████████
✔ lodash/fp 525,181.96 ops/sec ±1.00% (99 runs) -76.14%
████████████████
→ Fastest is @mobily/ts-belt
sort
sort (single function call)
✔ @mobily/ts-belt 5,101,733.37 ops/sec ±0.13% (100 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ remeda 1,495,459.41 ops/sec ±0.72% (99 runs) -70.69%
████████████████████
✔ ramda 2,569,596.49 ops/sec ±0.45% (94 runs) -49.63%
███████████████████████████████████
✔ rambda 2,688,097.85 ops/sec ±0.39% (102 runs) -47.31%
████████████████████████████████████
✔ lodash/fp 1,691,274.30 ops/sec ±1.67% (100 runs) -66.85%
███████████████████████
✔ native 2,661,290.29 ops/sec ±0.36% (101 runs) -47.84%
████████████████████████████████████
→ Fastest is @mobily/ts-belt
sort (function call inside pipe)
✔ @mobily/ts-belt 4,693,645.58 ops/sec ±0.39% (98 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ remeda 1,450,162.95 ops/sec ±0.46% (95 runs) -69.10%
█████████████████████
✔ ramda 1,232,021.82 ops/sec ±0.36% (101 runs) -73.75%
██████████████████
✔ rambda 2,470,907.38 ops/sec ±0.36% (100 runs) -47.36%
████████████████████████████████████
✔ lodash/fp 683,887.02 ops/sec ±1.23% (98 runs) -85.43%
██████████
✔ native 2,592,351.19 ops/sec ±0.42% (100 runs) -44.77%
██████████████████████████████████████
→ Fastest is @mobily/ts-belt
unzip
unzip (single function call)
✔ @mobily/ts-belt 47,588,859.11 ops/sec ±0.46% (99 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ ramda 6,705,736.92 ops/sec ±0.13% (101 runs) -85.91%
██████████
✔ rambda 10,034,683.21 ops/sec ±1.01% (100 runs) -78.91%
██████████████
✔ lodash/fp 2,174,786.62 ops/sec ±0.48% (97 runs) -95.43%
███
→ Fastest is @mobily/ts-belt
unzip (function call inside pipe)
✔ @mobily/ts-belt 36,181,039.73 ops/sec ±0.42% (100 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ ramda 2,133,486.67 ops/sec ±0.27% (100 runs) -94.10%
████
✔ rambda 8,489,274.12 ops/sec ±0.97% (96 runs) -76.54%
████████████████
✔ lodash/fp 1,848,769.38 ops/sec ±0.74% (99 runs) -94.89%
███
→ Fastest is @mobily/ts-belt
flat
flat (single function call)
✔ @mobily/ts-belt 30,097,829.61 ops/sec ±0.18% (97 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 3,172,921.28 ops/sec ±1.48% (96 runs) -89.46%
███████
✔ ramda 1,753,718.59 ops/sec ±0.39% (95 runs) -94.17%
████
✔ lodash/fp 15,470,058.47 ops/sec ±0.64% (101 runs) -48.60%
████████████████████████████████████
✔ native 1,181,888.97 ops/sec ±0.23% (99 runs) -96.07%
██
→ Fastest is @mobily/ts-belt
flat (function call inside pipe)
✔ @mobily/ts-belt 28,459,201.24 ops/sec ±1.13% (99 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,611,367.88 ops/sec ±0.99% (100 runs) -90.82%
██████
✔ ramda 1,072,191.82 ops/sec ±0.28% (100 runs) -96.23%
██
✔ lodash/fp 6,810,143.55 ops/sec ±0.74% (100 runs) -76.07%
████████████████
✔ native 1,175,496.45 ops/sec ±0.23% (99 runs) -95.87%
██
→ Fastest is @mobily/ts-belt
dropWhile
dropWhile (single function call)
✔ @mobily/ts-belt 43,204,573.24 ops/sec ±0.53% (96 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ ramda 15,462,019.17 ops/sec ±0.08% (102 runs) -64.21%
█████████████████████████
✔ rambda 39,734,812.96 ops/sec ±0.90% (101 runs) -8.03%
█████████████████████████████████████████████████████████████████
✔ lodash/fp 12,663,299.59 ops/sec ±0.60% (99 runs) -70.69%
████████████████████
→ Fastest is @mobily/ts-belt
dropWhile (function call inside pipe)
✔ @mobily/ts-belt 31,891,844.74 ops/sec ±0.96% (100 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ ramda 2,068,779.79 ops/sec ±0.41% (99 runs) -93.51%
████
✔ rambda 22,556,872.44 ops/sec ±0.77% (94 runs) -29.27%
██████████████████████████████████████████████████
✔ lodash/fp 1,010,074.74 ops/sec ±1.12% (99 runs) -96.83%
██
→ Fastest is @mobily/ts-belt
takeWhile
takeWhile (single function call)
✔ @mobily/ts-belt 50,622,471.27 ops/sec ±0.48% (96 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 3,419,352.13 ops/sec ±0.78% (100 runs) -93.25%
████
✔ ramda 15,734,158.85 ops/sec ±0.49% (93 runs) -68.92%
██████████████████████
✔ rambda 45,852,644.53 ops/sec ±1.34% (96 runs) -9.42%
████████████████████████████████████████████████████████████████
✔ lodash/fp 13,919,043.01 ops/sec ±0.54% (101 runs) -72.50%
███████████████████
→ Fastest is @mobily/ts-belt
takeWhile (function call inside pipe)
✔ @mobily/ts-belt 32,973,506.16 ops/sec ±0.88% (97 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 3,318,928.71 ops/sec ±0.89% (98 runs) -89.93%
███████
✔ ramda 2,064,291.79 ops/sec ±0.39% (98 runs) -93.74%
████
✔ rambda 23,346,726.43 ops/sec ±0.31% (102 runs) -29.20%
██████████████████████████████████████████████████
✔ lodash/fp 933,628.47 ops/sec ±1.06% (102 runs) -97.17%
██
→ Fastest is @mobily/ts-belt
deepFlat
deepFlat (single function call)
✔ @mobily/ts-belt 17,016,812.94 ops/sec ±0.20% (101 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 1,468,762.41 ops/sec ±1.69% (98 runs) -91.37%
██████
✔ ramda 715,879.19 ops/sec ±0.49% (96 runs) -95.79%
██
✔ rambda 14,774,473.16 ops/sec ±0.58% (100 runs) -13.18%
█████████████████████████████████████████████████████████████
✔ lodash/fp 7,810,104.17 ops/sec ±0.54% (96 runs) -54.10%
████████████████████████████████
✔ native 935,233.46 ops/sec ±0.20% (98 runs) -94.50%
███
→ Fastest is @mobily/ts-belt
deepFlat (function call inside pipe)
✔ @mobily/ts-belt 16,627,437.66 ops/sec ±0.54% (98 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 1,240,221.23 ops/sec ±0.94% (100 runs) -92.54%
█████
✔ ramda 557,214.93 ops/sec ±0.36% (100 runs) -96.65%
██
✔ rambda 11,823,291.91 ops/sec ±0.55% (95 runs) -28.89%
██████████████████████████████████████████████████
✔ lodash/fp 4,426,487.30 ops/sec ±0.73% (100 runs) -73.38%
██████████████████
✔ native 928,217.06 ops/sec ±0.32% (98 runs) -94.42%
███
→ Fastest is @mobily/ts-belt
reduce
reduce (single function call)
✔ @mobily/ts-belt 42,738,497.71 ops/sec ±0.07% (96 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,702,505.61 ops/sec ±0.82% (100 runs) -93.68%
████
✔ ramda 9,885,454.07 ops/sec ±0.60% (96 runs) -76.87%
████████████████
✔ rambda 15,083,471.52 ops/sec ±1.62% (92 runs) -64.71%
█████████████████████████
✔ lodash/fp 11,057,190.32 ops/sec ±1.00% (100 runs) -74.13%
██████████████████
✔ native 14,996,464.50 ops/sec ±0.62% (100 runs) -64.91%
████████████████████████
→ Fastest is @mobily/ts-belt
reduce (function call inside pipe)
✔ @mobily/ts-belt 27,277,018.00 ops/sec ±0.83% (99 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,621,246.45 ops/sec ±0.74% (98 runs) -90.39%
██████
✔ ramda 1,820,394.15 ops/sec ±0.25% (100 runs) -93.33%
████
✔ rambda 7,420,526.90 ops/sec ±0.83% (101 runs) -72.80%
███████████████████
✔ lodash/fp 993,928.83 ops/sec ±1.15% (100 runs) -96.36%
██
✔ native 12,355,055.35 ops/sec ±0.57% (101 runs) -54.71%
████████████████████████████████
→ Fastest is @mobily/ts-belt
reject
reject (single function call)
✔ @mobily/ts-belt 41,134,639.03 ops/sec ±0.43% (99 runs) -1.31%
█████████████████████████████████████████████████████████████████████
✔ remeda 2,707,621.33 ops/sec ±0.99% (99 runs) -93.50%
████
✔ ramda 15,434,043.01 ops/sec ±0.92% (94 runs) -62.97%
█████████████████████████
✔ rambda 41,682,684.37 ops/sec ±1.37% (96 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ lodash/fp 7,194,152.15 ops/sec ±0.57% (94 runs) -82.74%
████████████
→ Fastest is rambda
reject (function call inside pipe)
✔ @mobily/ts-belt 28,162,294.24 ops/sec ±1.03% (100 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,405,546.62 ops/sec ±0.75% (98 runs) -91.46%
██████
✔ ramda 2,128,836.87 ops/sec ±0.45% (102 runs) -92.44%
█████
✔ rambda 20,966,289.87 ops/sec ±0.65% (101 runs) -25.55%
████████████████████████████████████████████████████
✔ lodash/fp 865,317.60 ops/sec ±1.07% (101 runs) -96.93%
██
→ Fastest is @mobily/ts-belt
intersperse
intersperse (single function call)
✔ @mobily/ts-belt 40,064,246.68 ops/sec ±0.13% (100 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ ramda 39,049,651.47 ops/sec ±0.15% (99 runs) -2.53%
█████████████████████████████████████████████████████████████████████
✔ rambda 39,468,384.45 ops/sec ±1.48% (93 runs) -1.49%
█████████████████████████████████████████████████████████████████████
→ Fastest is @mobily/ts-belt
intersperse (function call inside pipe)
✔ @mobily/ts-belt 27,862,516.03 ops/sec ±0.83% (100 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ ramda 2,376,266.69 ops/sec ±0.47% (101 runs) -91.47%
██████
✔ rambda 20,683,082.73 ops/sec ±0.77% (99 runs) -25.77%
████████████████████████████████████████████████████
→ Fastest is @mobily/ts-belt
fromPairs
fromPairs (single function call)
✔ @mobily/ts-belt 19,416,008.78 ops/sec ±0.05% (99 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 17,511,630.07 ops/sec ±1.49% (97 runs) -9.81%
████████████████████████████████████████████████████████████████
✔ ramda 8,477,718.23 ops/sec ±1.00% (99 runs) -56.34%
███████████████████████████████
✔ rambda 16,827,952.34 ops/sec ±1.85% (98 runs) -13.33%
█████████████████████████████████████████████████████████████
✔ lodash/fp 13,886,757.40 ops/sec ±1.26% (97 runs) -28.48%
██████████████████████████████████████████████████
✔ native 2,758,522.55 ops/sec ±0.44% (101 runs) -85.79%
██████████
→ Fastest is @mobily/ts-belt
fromPairs (function call inside pipe)
✔ @mobily/ts-belt 18,451,864.54 ops/sec ±1.53% (97 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 12,644,595.10 ops/sec ±1.19% (99 runs) -31.47%
████████████████████████████████████████████████
✔ ramda 2,282,752.21 ops/sec ±0.73% (99 runs) -87.63%
████████
✔ rambda 12,936,245.61 ops/sec ±1.24% (93 runs) -29.89%
█████████████████████████████████████████████████
✔ lodash/fp 2,781,153.58 ops/sec ±0.97% (101 runs) -84.93%
██████████
✔ native 2,761,902.01 ops/sec ±0.37% (100 runs) -85.03%
██████████
→ Fastest is @mobily/ts-belt
groupBy
groupBy (single function call)
✔ @mobily/ts-belt 6,121,027.69 ops/sec ±0.60% (99 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ remeda 1,773,194.37 ops/sec ±0.94% (100 runs) -71.03%
████████████████████
✔ ramda 1,549,926.79 ops/sec ±1.05% (97 runs) -74.68%
█████████████████
✔ rambda 5,943,278.81 ops/sec ±1.01% (102 runs) -2.90%
███████████████████████████████████████████████████████████████████
✔ lodash/fp 3,210,313.82 ops/sec ±0.72% (98 runs) -47.55%
████████████████████████████████████
→ Fastest is @mobily/ts-belt
groupBy (function call inside pipe)
✔ @mobily/ts-belt 5,490,143.98 ops/sec ±1.27% (99 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ remeda 1,712,816.14 ops/sec ±0.73% (102 runs) -68.80%
█████████████████████
✔ ramda 934,547.98 ops/sec ±0.62% (101 runs) -82.98%
███████████
✔ rambda 4,943,117.70 ops/sec ±0.91% (100 runs) -9.96%
███████████████████████████████████████████████████████████████
✔ lodash/fp 801,736.27 ops/sec ±1.05% (100 runs) -85.40%
██████████
→ Fastest is @mobily/ts-belt
zip
zip (single function call)
✔ @mobily/ts-belt 24,435,170.38 ops/sec ±0.20% (96 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,993,792.11 ops/sec ±1.93% (98 runs) -87.75%
████████
✔ ramda 20,064,529.17 ops/sec ±2.39% (92 runs) -17.89%
██████████████████████████████████████████████████████████
✔ rambda 21,205,982.64 ops/sec ±1.62% (101 runs) -13.22%
█████████████████████████████████████████████████████████████
✔ lodash/fp 5,881,424.01 ops/sec ±1.17% (97 runs) -75.93%
█████████████████
→ Fastest is @mobily/ts-belt
zip (function call inside pipe)
✔ @mobily/ts-belt 16,110,793.53 ops/sec ±2.05% (96 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,982,872.72 ops/sec ±0.90% (100 runs) -81.49%
█████████████
✔ ramda 2,229,731.56 ops/sec ±0.76% (99 runs) -86.16%
█████████
✔ rambda 12,811,657.84 ops/sec ±1.37% (101 runs) -20.48%
████████████████████████████████████████████████████████
✔ lodash/fp 1,026,186.79 ops/sec ±1.10% (100 runs) -93.63%
████
→ Fastest is @mobily/ts-belt
forEach
forEach (single function call)
✔ @mobily/ts-belt 151,522,502.20 ops/sec ±1.09% (97 runs) -0.93%
███████████████████████████████████████████████████████████████████████
✔ remeda 3,155,520.10 ops/sec ±0.57% (96 runs) -97.94%
█
✔ ramda 150,488,946.35 ops/sec ±0.93% (101 runs) -1.61%
██████████████████████████████████████████████████████████████████████
✔ rambda 152,944,208.48 ops/sec ±0.04% (102 runs) fastest
████████████████████████████████████████████████████████████████████████
✔ lodash/fp 16,238,687.16 ops/sec ±0.58% (100 runs) -89.38%
███████
✔ native 21,061,643.09 ops/sec ±0.14% (102 runs) -86.23%
█████████
→ Fastest is rambda
forEach (function call inside pipe)
✔ @mobily/ts-belt 80,060,371.34 ops/sec ±0.38% (99 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,480,371.88 ops/sec ±0.80% (98 runs) -96.90%
██
✔ ramda 2,497,713.89 ops/sec ±0.25% (101 runs) -96.88%
██
✔ rambda 38,734,852.35 ops/sec ±0.20% (94 runs) -51.62%
██████████████████████████████████
✔ lodash/fp 1,041,207.17 ops/sec ±1.13% (100 runs) -98.70%
✔ native 17,466,000.74 ops/sec ±0.22% (100 runs) -78.18%
███████████████
→ Fastest is @mobily/ts-belt
uniq
uniq (single function call)
✔ @mobily/ts-belt 17,698,097.60 ops/sec ±0.39% (93 runs) -23.81%
█████████████████████████████████████████████████████
✔ remeda 2,126,034.40 ops/sec ±1.46% (95 runs) -90.85%
██████
✔ ramda 973,885.81 ops/sec ±0.51% (98 runs) -95.81%
██
✔ rambda 4,443,725.18 ops/sec ±0.72% (97 runs) -80.87%
█████████████
✔ lodash/fp 23,228,886.66 ops/sec ±1.09% (94 runs) fastest
██████████████████████████████████████████████████████████████████████
→ Fastest is lodash/fp
uniq (function call inside pipe)
✔ @mobily/ts-belt 17,116,780.17 ops/sec ±0.78% (98 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,219,041.94 ops/sec ±0.76% (101 runs) -87.04%
█████████
✔ ramda 711,027.73 ops/sec ±0.37% (100 runs) -95.85%
██
✔ rambda 3,694,072.79 ops/sec ±0.46% (101 runs) -78.42%
███████████████
✔ lodash/fp 7,571,485.97 ops/sec ±0.76% (98 runs) -55.77%
███████████████████████████████
→ Fastest is @mobily/ts-belt
toPairs
toPairs (single function call)
✔ @mobily/ts-belt 38,214,751.94 ops/sec ±0.17% (99 runs) fastest
██████████████████████████████████████████████████████████████████████
✔ remeda 32,858,489.19 ops/sec ±4.42% (89 runs) -14.02%
████████████████████████████████████████████████████████████
✔ ramda 10,364,749.44 ops/sec ±1.15% (89 runs) -72.88%
██████████████████
✔ rambda 37,603,914.79 ops/sec ±2.20% (96 runs) -1.60%
████████████████████████████████████████████████████████████████████
✔ lodash/fp 14,622,303.65 ops/sec ±1.15% (98 runs) -61.74%
██████████████████████████
✔ native 37,667,365.06 ops/sec ±2.02% (99 runs) -1.43%
████████████████████████████████████████████████████████████████████
→ Fastest is @mobily/ts-belt,native
toPairs (function call inside pipe)
✔ @mobily/ts-belt 37,355,068.50 ops/sec ±1.49% (101 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 21,886,107.49 ops/sec ±0.27% (101 runs) -41.41%
█████████████████████████████████████████
✔ ramda 2,423,382.03 ops/sec ±0.56% (101 runs) -93.51%
████
✔ rambda 22,910,839.53 ops/sec ±1.24% (100 runs) -38.67%
███████████████████████████████████████████
✔ lodash/fp 5,921,274.30 ops/sec ±1.02% (95 runs) -84.15%
███████████
✔ native 37,271,945.14 ops/sec ±1.47% (98 runs) -0.22%
██████████████████████████████████████████████████████████████████████
→ Fastest is @mobily/ts-belt
map
map (single function call)
✔ @mobily/ts-belt 79,929,746.94 ops/sec ±0.41% (97 runs) -0.90%
██████████████████████████████████████████████████████████████████████
✔ remeda 3,043,847.62 ops/sec ±1.32% (98 runs) -96.23%
██
✔ ramda 19,514,681.36 ops/sec ±0.51% (97 runs) -75.81%
█████████████████
✔ rambda 80,658,924.63 ops/sec ±0.51% (94 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ lodash/fp 13,821,648.14 ops/sec ±0.61% (102 runs) -82.86%
████████████
✔ native 17,163,566.67 ops/sec ±0.36% (101 runs) -78.72%
███████████████
→ Fastest is rambda
map (function call inside pipe)
✔ @mobily/ts-belt 46,639,454.08 ops/sec ±0.36% (100 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,450,737.64 ops/sec ±0.76% (102 runs) -94.75%
███
✔ ramda 2,277,007.56 ops/sec ±0.40% (99 runs) -95.12%
███
✔ rambda 30,961,928.87 ops/sec ±0.29% (98 runs) -33.61%
███████████████████████████████████████████████
✔ lodash/fp 959,274.35 ops/sec ±1.08% (98 runs) -97.94%
█
✔ native 14,208,220.97 ops/sec ±0.24% (96 runs) -69.54%
█████████████████████
→ Fastest is @mobily/ts-belt
filter
filter (single function call)
✔ @mobily/ts-belt 46,316,363.76 ops/sec ±0.61% (100 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,618,881.72 ops/sec ±1.39% (98 runs) -94.35%
████
✔ ramda 16,289,543.05 ops/sec ±0.91% (99 runs) -64.83%
████████████████████████
✔ rambda 46,294,664.30 ops/sec ±0.98% (97 runs) -0.05%
██████████████████████████████████████████████████████████████████████
✔ lodash/fp 12,063,271.29 ops/sec ±0.66% (101 runs) -73.95%
██████████████████
✔ native 14,866,989.31 ops/sec ±0.81% (97 runs) -67.90%
██████████████████████
→ Fastest is @mobily/ts-belt,rambda
filter (function call inside pipe)
✔ @mobily/ts-belt 33,657,436.55 ops/sec ±0.88% (99 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,399,251.91 ops/sec ±0.78% (98 runs) -92.87%
█████
✔ ramda 2,217,420.82 ops/sec ±0.41% (102 runs) -93.41%
████
✔ rambda 23,919,765.91 ops/sec ±0.76% (99 runs) -28.93%
██████████████████████████████████████████████████
✔ lodash/fp 913,064.31 ops/sec ±1.06% (100 runs) -97.29%
█
✔ native 12,753,442.32 ops/sec ±0.58% (102 runs) -62.11%
██████████████████████████
→ Fastest is @mobily/ts-belt
find
find (single function call)
✔ @mobily/ts-belt 143,254,020.38 ops/sec ±1.26% (97 runs) -6.20%
███████████████████████████████████████████████████████████████████
✔ remeda 3,507,780.60 ops/sec ±0.53% (100 runs) -97.70%
█
✔ ramda 29,067,498.15 ops/sec ±0.47% (97 runs) -80.97%
█████████████
✔ rambda 152,720,879.10 ops/sec ±0.05% (98 runs) fastest
████████████████████████████████████████████████████████████████████████
✔ lodash/fp 13,167,059.58 ops/sec ±0.74% (101 runs) -91.38%
██████
✔ native 29,271,778.05 ops/sec ±0.04% (102 runs) -80.83%
█████████████
→ Fastest is rambda
find (function call inside pipe)
✔ @mobily/ts-belt 74,456,364.16 ops/sec ±0.59% (95 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,748,846.18 ops/sec ±0.84% (98 runs) -96.31%
██
✔ ramda 2,318,274.40 ops/sec ±0.40% (102 runs) -96.89%
██
✔ rambda 37,339,327.70 ops/sec ±0.17% (102 runs) -49.85%
███████████████████████████████████
✔ lodash/fp 932,077.03 ops/sec ±1.11% (100 runs) -98.75%
✔ native 22,944,648.91 ops/sec ±0.22% (102 runs) -69.18%
█████████████████████
→ Fastest is @mobily/ts-belt
splitEvery
splitEvery/chunk (single function call)
✔ @mobily/ts-belt 25,568,140.98 ops/sec ±0.27% (98 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 2,821,425.91 ops/sec ±1.76% (96 runs) -88.97%
███████
✔ ramda 9,820,166.03 ops/sec ±1.40% (89 runs) -61.59%
███████████████████████████
✔ rambda 14,931,683.13 ops/sec ±0.24% (101 runs) -41.60%
█████████████████████████████████████████
✔ lodash/fp 11,277,447.38 ops/sec ±0.85% (100 runs) -55.89%
███████████████████████████████
→ Fastest is @mobily/ts-belt
splitEvery/chunk (function call inside pipe)
✔ @mobily/ts-belt 19,952,479.61 ops/sec ±1.26% (98 runs) fastest
███████████████████████████████████████████████████████████████████████
✔ remeda 3,532,562.80 ops/sec ±1.22% (97 runs) -82.30%
████████████
✔ ramda 1,764,049.46 ops/sec ±0.47% (99 runs) -91.16%
██████
✔ rambda 10,901,998.96 ops/sec ±0.90% (102 runs) -45.36%
██████████████████████████████████████
✔ lodash/fp 994,866.04 ops/sec ±1.15% (98 runs) -95.01%
███
→ Fastest is @mobily/ts-belt