kurwov

kurwov

A fast, dependency-free library for creating Markov Chains.

API

Generating a dataset.

import { MarkovData } from 'kurwov';
const sentences = ['i love hamburgers', 'i love cats'];
const chain = new MarkovChain(sentences);

Using your dataset to generate a sentence.

chain.generate(); // i love hamburgers or i love cats

Adding an sentence to the dataset.

chain.add('i love dogs');

Completing a sentence.

chain.complete({ data, start: 'i love' }); // i love dogs, i love hamburgers, or i love cats

Comparison

Feature	kurwov	markov-typescript	markov-generator	markov-strings	markov-chains	mrkv
Dependency-free	✔️	❌	✔️	❌	❌	✔️
Typings	✔️	❌	❌	❌ (incorrect)	❌	✔️
Generating sentences	✔️	✔️	✔️	✔️	❌ (errors)	❌ (errors)
Completing sentences	✔️	❌	❌	❌	❌	✔️
Higher statesize support	✔️	✔️	❌	✔️	❌	❌
Adding stuff other than strings	❌	✔️	❌	❌	✔️	❌
Total package size	16.6KB	1.4MB	7.9KB*	1.4MB	51KB	20KB

If you use markov chains to generate sentences, kurwov is far better than other libraries. It's the fastest and smallest package in the comparison, and has typings. * While markov-generator is only 7.9KB, it doesn't include ESM support and doesn't include typings. It also doesn't support higher statesizes which results in less code.

Speed

Benchmarks ran on a 6c/12t AMD Ryzen 5 5600 @ 4.45GHz with 32gb ddr4 3200mhz RAM on Ubuntu through WSL2 with Node.js v22.5.1 Using data from amazon q/a dataset, using the first n (10k or 100k) answers from the electronics dataset.

kurwov speed compared to other markov packages

Benchmark	kurwov	markov-typescript	markov-generator	markov-strings	markov-chains, foswig, mrkv
Generating a dataset with 10000 sentences.	64.30ms	458.90ms	127.63ms	1507.75ms	N/A (errored)
Generating a dataset with 100000 sentences.	1046.55ms	5815.11ms	8844.53ms	78044.7619ms	N/A (errored)

kurwov speed compared to other markov packages with higher statesize

Benchmark | kurwov | markov-typescript | markov-strings Generating a dataset with 10000 sentences. | 182.08ms | 702.25ms | 1349.19ms Generating a dataset with 100000 sentences. | 3481.44ms | 10154.96ms | 77600.49ms