npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

fast-markov

v0.0.10

Published

A high-performance Markov string chain for Node.js written in Rust.

Downloads

166

Readme

fast-markov

A high-performance Markov string chain for Node.js written in Rust.

Installation

npm install fast-markov
# or
yarn add fast-markov
# or
pnpm add fast-markov

Usage

Basic Example

const { MarkovChain } = require("fast-markov");

// Create a new chain
const chain = new MarkovChain();

// Add some training text
chain.addText("the quick brown fox jumps over the lazy dog");
chain.addText("the lazy cat sleeps all day long");

// Generate new text (10 words)
console.log(chain.generate(null, 10));

With Custom Start Word

const { MarkovChain } = require("fast-markov");

const chain = new MarkovChain();
chain.addText("the quick brown fox jumps over the lazy dog");

// Generate text starting with 'the'
console.log(chain.generate("the", 5));

Saving and Loading Chain State

const { MarkovChain } = require("fast-markov");

// Create and train chain
const chain = new MarkovChain();
chain.addText("some training text here");

// Export chain state
const exported = chain.exportCorpus();

// Create new chain and import state
const newChain = new MarkovChain();
newChain.importCorpus(exported);

With Custom Initial Capacity

const { MarkovChain } = require("fast-markov");

// Create chain with larger initial capacity for better performance
// when training with large datasets
const chain = new MarkovChain({ initialCapacity: 10000 });

API Reference

new MarkovChain(options?: MarkovChainOptions)

Creates a new Markov chain instance.

  • options.initialCapacity?: number - Initial capacity for the internal hash map (default: 1000)

addText(text: string): void

Adds training text to the chain.

generate(startWord: string | null, length: number): string

Generates new text based on the trained patterns.

  • startWord - Optional word to start generation with
  • length - Number of words to generate
  • Returns generated text string

getWordCount(): number

Returns the total number of words in the chain.

exportCorpus(): string

Exports the chain state as a JSON string.

importCorpus(json: string): void

Imports a previously exported chain state.

Supported Platforms

Pre-built binaries are available for the following platforms:

  • Windows (x64, arm64)
  • macOS (x64, arm64)
  • Linux (x64, arm64)

License

MIT

Contributing

Contributions are welcome! Please feel free to submit a Pull Request.