wikimedia/mathoid

Full featured Promises/A+ implementation with exceptionally good performance

a JSON logging library for node.js services

SVGO is a Node.js library and command-line application for optimizing vector images.

the complete solution for node.js command-line programs

Library to compare two DOM trees

ESLint config following Wikimedia code conventions.

JSDoc linting rules for ESLint.

eslint plugin for JSON files

Port of jQuery.extend for node.js and the browser

Yet another JS code coverage tool that computes statement, line, function and branch coverage with module loader hooks to transparently add coverage when running tests. Supports all JS coverage use cases including unit tests, server side functional tests and browser tests. Built for scale

simple, flexible, fun test framework

run ESLint as mocha tests

LCOV reporter for Mocha

Easy dependency injection for node.js unit testing

A pure JavaScript W3C standard-based (XML DOM Level 2 Core) DOMParser and XMLSerializer module.

A package for RFC4122 (v1 and v4) uuid generation

API's for calling MathJax from node.js

Nodejs library to mock express http request

Nodejs library to mock express http response

Yet another promising request wrapper

Generic nodejs service supervisor / cluster runner

A standalone speech rule engine for XML structures, based on the original engine from ChromeVox.

An efficient swagger 2 based router with support for multiple APIs. For use in RESTBase.

Extracts information from texvc code.

ESLint configuration for Wikimedia node.js services

Get the current time in microseconds

run JSHint as mocha tests

Simple, intuitive mocking of Node.js modules.

The Node Security (nodesecurity.io) command line interface

Visualization for goldstandard

Mathematical expressions can be understood and represented as a tree con-sisting of functions (non-leaf nodes) and their arguments (child nodes of function nodes). Such expression trees are an important concept to store and process mathematical expressions as well as the most frequently used visual-ization of the structure of mathematical expressions. Typically, researchers visualize expression trees using general purpose tools that are not optimized for mathematics. This approach is laborious, redundant if mathematical ex-pressions are available in a structured markup, such as MathML, and error-prone, since the visualization represents a researcher’s notion of what the markup of an expression should be, but not necessarily what the actual markup is. In this paper, we present VET – a tool to automatically visualize mathematical expression trees from parallel MathML. Additionally, we pre-sent a demo application to convert LaTeX input to parallel MathML, which is then visualized using VET. By visualizing the actual markup of mathematical expressions, VET enables content providers to quickly spot problems in the content MathML markup that do not affect the presentation of the expres-sion. Identifying such discrepancies previously required reading the verbose and complex parallel MathML markup. VET also allows to visualize similar and identical elements of two expressions using arbitrary similarity measures. Visualizing expression similarity shall support developers in designing re-trieval approaches and enable improved interaction concepts for users of mathematical information retrieval systems. The similarity visualization al-lows designers and users of such systems to inspect the reasoning of a simi-larity measure, rather than exclusively being provided with a scalar similarity score as is the case for most current retrieval systems.