Calculates families and nodes positions for rendering a family tree
Calculates families and nodes positions for rendering a family tree
Calculates families and nodes positions for rendering a family tree
Create family trees and calculate relationships, generate nodes, and render the family tree.
Calculates families and nodes positions for rendering a family tree
prints a dependency graph in dot format for your typescript or react project
Calculates families and nodes positions for rendering a family tree
htmlparser2 tree adapter for parse5.
[](https://biomejs.dev) [](https://biomejs.dev)
A Node.js CommonJS/ES6 module with the Liquid substitutions code used by xpm & relatives
Parser for markdown like syntax which describes families and they relations
mdast utility to serialize markdown
unist utility to visit nodes
mdast utility to parse markdown
mdast extension to parse and serialize GFM task list items
unist utility to recursively walk over nodes, with ancestral information
mdast extension to parse and serialize GFM (GitHub Flavored Markdown)
mdast utility to transform to hast
TypeScript definitions for @babel/generator
mdast utility to check if a node is phrasing content
TypeScript definitions for @babel/template
Regular Expressions parser in JavaScript
Color helpers to ease transformation between formats, gamut, etc
TypeScript definitions for @babel/traverse
Fully featured tree implementation for Mongoid using materialized paths and relative associations. Featuring Depth and Breadth first search.
Gem exposes `githl` binary that allows to perform line count / contributor at current HEAD. Running on dirty working tree will produce git errors. Binary has a couple of options: `-p` or `--path` specifies relative path, defaults to `.`; `-i` or `--include` specify included files/directories or file extensions; `-e` or `--exlude` specify exluded files/directories or file extensions; `-v` or `--version` prints version. Currently does not work with non-UTF-8 encoded files.
A Ruby tool for transforming existing markdown documentation into AI-friendly formats following the llms.txt standard. Features include: generating llms.txt files from documentation directories with automatic file prioritization, transforming individual markdown files by expanding relative links to absolute URLs, and bulk transforming entire documentation trees with customizable exclusion patterns. Provides both CLI and Ruby API with configuration file support.
A comprehensive Ruby tool for building and optimizing documentation for Large Language Models. Features include: generating llms.txt files from documentation directories with automatic file prioritization, transforming individual markdown files by expanding relative links to absolute URLs, bulk transforming entire documentation trees with customizable exclusion patterns, comparing content sizes to measure context window savings, and serving LLM-optimized documentation. Provides both CLI and Ruby API with configuration file support.
Drop Zone is a solution to the problem of restricted sales in censored markets. The proposal is for the design of a protocol and reference client that encodes the location and a brief description of a good onto The Blockchain. Those wishing to purchase the good can search for items within a user-requested radius. Sellers list a good as available within a geographic region, subject to some degree of precision, for the purpose of obfuscating their precise location. Goods are announced next to an expiration, a hashtag, and if space permits, a description. Once a buyer finds a good in a defined relative proximity, a secure communication channel is opened between the parties on the Bitcoin test network ("testnet"). Once negotiations are complete, the buyer sends payment to the seller via the address listed on the Bitcoin mainnet. This spend action establishes reputation for the buyer, and potentially for the seller. Once paid, the seller is to furnish the exact GPS coordinates of the good to the buyer (alongside a small note such as "Check in the crevice of the tree"). When the buyer successfully picks up the item at the specified location, the buyer then issues a receipt with a note by spending flake to the address of the original post. In this way, sellers receive a reputation score. The solution is akin to that of Craigslist.org or Uber, but is distributed and as such provides nearly risk-free terms to contraband sellers, and drastically reduced risk to contraband buyers.