wikimedia/preq

Full featured Promises/A+ implementation with exceptionally good performance

Simplified HTTP request client.

takes json-cov output into stdin and POSTs to coveralls.io

JSDoc linting rules for ESLint.

eslint plugin for JSON files

simple, flexible, fun test framework

LCOV reporter for Mocha

HTTP server mocking and expectations library for Node.js

the Istanbul command line interface

request-retry wrap nodejs request to retry http(s) requests in case of error

ESLint config following Wikimedia code conventions.

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

Scrapes metadata of several different standards

REST API creation framework

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.

A music similarity library, returning a weighted combination of several API and tool results.

Specification-driven REST API testing

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

Utility functions to get Objects from YAML or JSON at local or remote URIs

better swagger tests

Event intake service - POST JSONSchemaed events, validate, and produce.

Api spec generator

A blueprint for MediaWiki REST API services

Parsoid HTML dump utility

A tool for generating Spotify playlists programmatically. Convert websites to Spotify playlists, incorporate Last.fm listener data, and employ smart algorithms to reorder the tracks.

Visualization for goldstandard

Scrapes metadata of several different standards

Scrapes metadata of several different standards

Helper package to discover mathematical objects of interest

Visualization for goldstandard