ag-gipp/gouldi

ECMAScript parser

The most popular front-end framework for developing responsive, mobile first projects on the web.

Embedded JavaScript templates

A markdown parser built for speed

Find newer versions of dependencies than what your package.json allows

A kickass library to manage your poppers

Yet another promising request wrapper

Simplified HTTP request client.

The simplified HTTP request client 'request' with Promise support. Powered by Bluebird.

Simple XML to JavaScript object converter.

Simple wrapper around the "child_process" module that makes use of promises

AngularJS module for cookies

AngularJS Markdown using marked.

An angular JS directive for code syntax highlighting using HighlightJS with added line numbers and keyword searching functionality.

AngularJS router module

Bootstrap Arrow Buttons

Low-level methods for working with the GitHub API in node.js/JavaScript.

create a new commit with a changed file

Easily download files from github raw user content.

Render TeX to SVG and MathML using MathJax. Based on svgtex.

plugin to pretty-print or minify XML, JSON, CSS and SQL files

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.

`child_process.spawn` + Promise API + live data chunks + merged output of stdout and stderr

A TeX/LaTeX validator for mediawiki.