Simple search and replace utility for replacing tokens in objects / strings / text etc
Library for Stacks profiles
MermaidJS parser
smart-buffer is a Buffer wrapper that adds automatic read & write offset tracking, string operations, data insertions, and more.
Format for representing rich text documents and changes.
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insert implicit module globals into a module-deps stream
GeoJSON implementation of RBush
A collection of token providers
An implementation of the Fibonacci heap data structure
GeoJSON implementation of RBush
Scanner and parser for JSON with comments.
Find the index to insert an element in array keeping the sort order.
Common token types for decoding and encoding numeric and string values
mdast plugin to support Markdown Extension for custom heading IDs
This prettier plugin format your gherkin (`.feature` files) documents.
GitHub API token authentication for browsers and Node.js
TypeScript definitions for insert-text-at-cursor
Generate a diff between two markdown files in markdown format
insert a string of css into the <head>
Get the auth token set for an npm registry (if any)
Modify JavaScript code, generate source map for the modification.
Provides functions for generating ordering strings
Skyflow SDK for Node.js
Gem to handle CSRF protection token while using caching
CacheableCSRFToken allows you to easily cache Ruby on Rails pages or partials containing a CSRF protection token. The user-specific token will inserted in the HTML before the response is sent to the user.
CacheableCSRFToken allows you to easily cache Ruby on Rails pages or partials containing a CSRF protection token. The user-specific token will inserted in the HTML before the response is sent to the user.
Proper related posts plugin for Jekyll - uses document correlation matrix on TF-IDF (optionally with Latent Semantic Indexing). Each document is tokenized and stemmed, every word found is treated as keyword for analysis (except for some stop words). TF-IDF matrix for the whole site is calculated (including extra provided weights), then if given accuraccy is lower than 1.0, LSI algorithm is used to compute new simplified vector space. Document correlation matrix is created using dot product of the matrix and its transpose. For each of the post' related documents are inserted into priority queue (sorted by score from document correlation matrix), assuming the score is greater than minimal required score. Selected few bests related posts are retrieven from the queue. Liquid template for each post is rendered and <related-posts /> is replaced with the outcomes of algorithm.
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