To help you get started, we've collected the most common ways that talisman is being used within popular public projects.

Icemic / search.bakery.moe / server / routes / search.js View on Github

const results = await Anime.find({
    keywords: { $in: cutString },
    // $or: [
    //   { title: /searchString/ },
    //   { keywords: { $in: cutString } }
    // ]
  });

  const list = [];
  for (const record of results) {
    const cutAlias = record.keywords;
    let total = [...new Set([...cutAlias, ...cutString])].length;

    let maxDistance = 0;
    for (const alias of record.alias) {
      maxDistance = Math.max(maxDistance, jsimilarity(searchString, alias))
      // console.log(searchString, alias, maxDistance)
    }

    list.push([maxDistance * (cutString.length + cutAlias.length - total), record.title, record._id, record.bgmid]);
  }

  let ended = false;
  let ending = page * 10;

  if (list.length < (page - 1) * 10) {
    ended = true;
    ctx.body = { items: [], ended };
    return;
  } else if (list.length <= ending) {
    ended = true;
    ending = list.length;

View more ways to use talisman

Talisman

Full documentation

Talisman is a JavaScript library collecting algorithms, functions and various building blocks for fuzzy matching, information retrieval and natural language processing.

Installation

You can install Talisman through npm:

npm install talisman

Documentation

The library's full documentation can be found here.

Bibliography

An extensive bibliography of the methods & functions implemented by the library can be found here.

Goals

• 📦 Modular: the library is completely modular. This means that if you only need to compute a levenshtein distance, you will only load the relevant code.
• 💡 Straightforward & simple: just want to compute a Jaccard index? No need to instantiate a class and use two methods to pass options and then finally succeed in getting the index. Just apply the jaccard function and get going.
• 🍡 Consistent API: the library's API is fully consistent and one should not struggle to understand how to apply two different distance metrics.
• 📯 Functional: except for cases where classes might be useful (clustering notably), Talisman only uses functions, consumes raw data and order functions' arguments to make partial application & currying etc. as easy as possible.
• ⚡ Performant: the library should be as performant as possible for a high-level programming language library.
• 🌐 Cross-platform: the library is cross-platform and can be used both with Node.js and in the browser.

How to cite

Talisman has been published as a paper on the Journal Of Open Source Software (JOSS).

Contribution

Contributions are of course welcome 😃

Be sure to lint & pass the unit tests before submitting your pull request.

# Cloning the repo
git clone git@github.com:Yomguithereal/talisman.git
cd talisman

# Installing the deps
npm install

# Running the tests
npm test

# Linting the code
npm run lint

License

This project is available as open source under the terms of the MIT License.