string-similarity-browser
Finds degree of similarity between strings, based on Dice's Coefficient, which is mostly better than Levenshtein distance.
Finds degree of similarity between strings, based on Dice's Coefficient, which is mostly better than Levenshtein distance.
Color a given set of N strings into a set of M<N color classes
this package lets you compare two strings and give you how much percent they are similar
Text diff algorithm based on 'An O(NP) Sequence Comparison Algorithm' from Sun Wu, Udi Manber and Gene Myers
The most efficient JS implementation calculating the Levenshtein distance, i.e. the difference between two strings.
The most efficient JS implementation calculating the Levenshtein distance, i.e. the difference between two strings.
A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package uses OpenAI's API or Transformer.js models to generate embeddings for text documents and provides functionality for similarit
Express middleware to correct typos in URLs via string similarity algorithms
Fastest SIMD-Accelerated Vector Similarity Functions for x86 and Arm
A blazing-fast semantic search React component. Match by meaning, not just by letters. Search as you type without waiting (no debounce needed). Rank by cosine similarity.
list of similar words to persian words
An extension of Set meant for checking similarity of strings. Also offers static functions that can be used seperately from the SimilaritySet.
"Similify is a versatile JavaScript package designed to simplify and enhance similarity comparisons in various contexts. Whether you're comparing words, objects, arrays, or exploring string lengths and numerical ranges, Similify provides an easy-to-use in
calculate similar of strings, support chinese.
Given a name and a list of names that are not equal to the name, return a spelling suggestion if there is one that is close enough.
React Hook for [`indexed-vector-store`](https://github.com/danielivanovz/indexed-vector-store) package. Used for [demo](https://github.com/danielivanovz/indexed-vector-store-demo) and deployed at my [website](https://app.danielivanov.me/vector-database/).
Lightweight Cosine Similarity Function. Built as an alternative to the compute-cosine-similarity package. Works with high dimension vectors like openAI embeddings
Efficient WebAssembly-based vector math engine for JavaScript/TypeScript
A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package uses OpenAI's API to generate embeddings for text documents and provides functionality for similarity search, filtering, and
A lightweight and efficient vector database for storing and searching text embeddings in the browser's local storage. The package uses OpenAI's API to generate embeddings for text documents and provides functionality for similarity search, filtering, and