Toggle navigation
MeasureThat.net
Create a benchmark
Tools
Feedback
FAQ
Register
Log In
find vs findIndex
(version: 0)
find() vs findIndex() in Javascript
Comparing performance of:
find() vs findIndex()
Created:
4 years ago
by:
Guest
Jump to the latest result
Script Preparation code:
var cryptos = [ {name: 'Bitcoin', symbol: 'BTCUSD', icon: 'btc', thumb: 'bitcoin.jpg'}, {name: 'Ethereum', symbol: 'ETHUSD', icon: 'eth', thumb: 'ethereum.png'}, {name: 'BNB', symbol: 'BNBUSD', icon: 'bnb', thumb: 'bnb.png'}, {name: 'Cardano', symbol: 'ADAUSD', icon: 'cardano', thumb: 'cardano.jpg'}, {name: 'Solana', symbol: 'SOLUSD', icon: 'sol', thumb: 'sol.png'}, {name: 'XRP', symbol: 'XRPUSD', icon: 'xrp', thumb: 'xrp.png'}, {name: 'Polkadot', symbol: 'DOTUSD', icon: 'polkadot', thumb: 'polkadot.png'}, {name: 'Dogecoin', symbol: 'DOGEUSD', icon: 'doge', thumb: 'doge.jpg'}, {name: 'Shiba Inu', symbol: 'SHIBUSD', icon: 'shiba', thumb: 'shiba.png'}, {name: 'Terra', symbol: 'LUNAUSD', icon: 'luna', thumb: 'luna.png'}, {name: 'Avalanche', symbol: 'AVAXUSD', icon: 'avax', thumb: 'avax.png'}, {name: 'Litecoin', symbol: 'LTCUSD', icon: 'ltc', thumb: 'ltc.png'}, {name: 'Uniswap', symbol: 'UNIUSD', icon: 'uni', thumb: 'uni.png'}, {name: 'Chainlink', symbol: 'LINKUSD', icon: 'link', thumb: 'link.png'}, {name: 'Polygon', symbol: 'MATICUSD', icon: 'matic', thumb: 'matic.png'}, {name: 'Algorand', symbol: 'ALGOUSD', icon: 'algo', thumb: 'algo.png'}, {name: 'VeChain', symbol: 'VETUSD', icon: 'vet', thumb: 'vet.png'}, {name: 'Stellar', symbol: 'XLMUSD', icon: 'xlm', thumb: 'xlm.png'}, {name: 'Axie Infinity', symbol: 'AXSUSD', icon: 'axie', thumb: 'axie.png'}, {name: 'Filecoin', symbol: 'FILUSD', icon: 'file', thumb: 'file.png'}, {name: 'TRON', symbol: 'TRXUSD', icon: 'tron', thumb: 'tron.png'}, {name: 'Ethereum Classic', symbol: 'ETCUSD', icon: 'etc', thumb: 'etc.png'}, {name: 'Cosmos', symbol: 'ATOMUSD', icon: 'atom', thumb: 'atom.png'}, {name: 'THETA', symbol: 'THETAUSD', icon: 'theta', thumb: 'theta.png'}, {name: 'FTX Token', symbol: 'FTTUSD', icon: 'ftt', thumb: 'ftt.png'}, {name: 'Fantom', symbol: 'FTMUSD', icon: 'ftm', thumb: 'ftm.png'}, {name: 'Hedera', symbol: 'HBARUSD', icon: 'hbar', thumb: 'hbar.png'}, {name: 'Dai', symbol: 'DAIUSD', icon: 'dai', thumb: 'dai.png'}, {name: 'Elrond', symbol: 'EGLDUSD', icon: 'egld', thumb: 'egld.png'}, {name: 'NEAR Protocol', symbol: 'NEARUSD', icon: 'near', thumb: 'near.png'}, {name: 'The Graph', symbol: 'GRTUSD', icon: 'grt', thumb: 'grt.png'}, {name: 'Tezos', symbol: 'XTZUSD', icon: 'xtz', thumb: 'xtz.png'}, {name: 'Monero', symbol: 'XMRUSD', icon: 'xmr', thumb: 'xmr.png'}, {name: 'EOS', symbol: 'EOSUSD', icon: 'eos', thumb: 'eos.png'}, {name: 'Decentraland', symbol: 'MANAUSD', icon: 'mana', thumb: 'mana.png'}, {name: 'Helium', symbol: 'HNTUSD', icon: 'hnt', thumb: 'hnt.png'}, {name: 'PancakeSwap', symbol: 'CAKEUSD', icon: 'cake', thumb: 'cake.png'}, {name: 'Aave', symbol: 'AAVEUSD', icon: 'aave', thumb: 'aave.png'}, {name: 'Loopring', symbol: 'LRCUSD', icon: 'lrc', thumb: 'lrc.png'}, {name: 'IOTA', symbol: 'IOTAUSD', icon: 'iota', thumb: 'iota.png'}, {name: 'Neo', symbol: 'NEOUSD', icon: 'neo', thumb: 'neo.png'}, {name: 'Maker', symbol: 'MKRUSD', icon: 'mkr', thumb: 'mkr.png'}, {name: 'Enjin', symbol: 'ENJUSD', icon: 'enj', thumb: 'enj.png'}, {name: 'Dash', symbol: 'DASHUSD', icon: 'dash', thumb: 'dash.png'}, {name: 'Compound', symbol: 'COMPUSD', icon: 'comp', thumb: 'comp.png'}, {name: 'CRV', symbol: 'CRVUSD', icon: 'crv', thumb: 'crv.png'}, {name: 'BAT', symbol: 'BATUSD', icon: 'bat', thumb: 'bat.png'}, {name: 'SushiSwap', symbol: 'SUSHIUSD', icon: 'sushi', thumb: 'sushi.png'}, {name: 'Zilliqa', symbol: 'ZILUSD', icon: 'zil', thumb: 'zil.png'}, {name: 'yearn.finance', symbol: 'YFIUSD', icon: 'yfi', thumb: 'yfi.png'}, {name: '1inch', symbol: '1INCHUSD', icon: 'oneinch', thumb: 'oneinch.png'}, ];
Tests:
find()
let item = cryptos.find(index => index.symbol === 'XTZUSD');
findIndex()
let item = cryptos.findIndex(index => index.symbol === 'XTZUSD');
Rendered benchmark preparation results:
Suite status:
<idle, ready to run>
Run tests (2)
Previous results
Fork
Test case name
Result
find()
findIndex()
Fastest:
N/A
Slowest:
N/A
Latest run results:
Run details:
(Test run date:
2 years ago
)
User agent:
Mozilla/5.0 (Windows NT 10.0; Win64; x64) AppleWebKit/537.36 (KHTML, like Gecko) Chrome/122.0.0.0 Safari/537.36 Edg/122.0.0.0
Browser/OS:
Chrome 122 on Windows
View result in a separate tab
Embed
Embed Benchmark Result
<iframe src="https://measurethat.net/Embed?id=517035" width="100%" height="500px"></iframe>
Test name
Executions per second
find()
8103574.0 Ops/sec
findIndex()
8249402.5 Ops/sec
Autogenerated LLM Summary
(model
llama3.2:3b
, generated one year ago):
It seems like you're providing an excerpt from a test report, likely generated by a benchmarking tool or framework. Based on the content, I'll assume that this is related to testing the performance of a JavaScript array method, specifically `findIndex()` and `find()`, using various browsers and devices. If I had to answer based on this excerpt alone, I'd say: The current implementation of `find()` and `findIndex()` seems efficient. The benchmark results show that both methods are performing well, with Chrome 122 being the fastest browser in terms of executions per second. However, there might be room for improvement in handling edge cases or optimizing for specific use cases. If you'd like more detailed insights, please provide additional context or clarify what specific aspects of performance optimization you're interested in exploring further.
Related benchmarks:
_.findIndex vs. array.findIndex
IndexOf vs Includes vs find
array indexOf vs includes vs findIndex
native findIndex vs lodash findIndex vs lodash find using startFrom
find vs includes vs indexof
Comments
Confirm delete:
Do you really want to delete benchmark?