A tool to generate folder structure for Node.js projects
This package provides support for the [RedisTimeSeries](https://redis.io/docs/data-types/timeseries/) module, which adds a time series data structure to Redis.
rrweb's component to take a snapshot of DOM, aka DOM serializer
Core filesystem primitives: Node, Link, File, Superblock
rrweb's component to take a snapshot of DOM, aka DOM serializer
A simple server-side API for mixpanel
A document model for rich text editors
Babel plugin to transpile import() to a deferred require(), for node
rrweb's component to take a snapshot of DOM, aka DOM serializer
Autoload Plugins for PostCSS
rrweb's component to take a snapshot of DOM, aka DOM serializer
Autoload Options for PostCSS
Write minimal node index.js files that require and export siblings by file basename
Wrap sonar-scanner as a node module
Walk any kind of tree structure depth- or breadth-first. Supports promises and advanced map-reduce operations with a very small API.
Persistent ordered mapping from strings
PKI management for node-opcua
rrweb's component to take a snapshot of DOM, aka DOM serializer
<!-- Please modify docs/index.md, index.md in project root is only a copy -->
pack node-style source files from a json stream into a browser bundle
Wrapper around Apple's simctl binary
JSDOM environment for Jest with JSDOM 14
Simple menu elements for ProseMirror
Broccoli plugin that allows you to filter files selected from an input node down based on regular expressions.
This is a data structure to represent and manage k-trees, primarily created for use in RubyNEAT, but may see other possible applications. The goal here is to be roebust in the creation of your k-tree, to allow you to prune during creation, since, especially for higher-dimensional trees, the number of leaf node can become very large. So a parent will have children nodes created down to the desired resolution, and immediately after the creation of the children, will check to see if there's enough variance among the children to keep them. If not, they are pruned immediately.
YPetri is a DSL (domain-specific language) for modelling of dynamical systems. It is biologically inspired, but concerns of biology and chemistry have been purposely separated away from it. YPetri caters solely to the two main concerns of modelling, model specification and simulation, and it excels in the first one. Dynamical systems are described under a Petri net paradigm. YPetri implements a universal Petri net abstraction that integrates discrete/continous, timed/timeless and stoichiometric/nonstoichiometric dichotomies of the extended Petri nets, and allows efficient specification of any kind of dynamical system. Like Petri nets themselves, YPetri was inspired by problems from the domain of chemistry (biochemical pathway modelling), but is not specific to it. Other gems, YChem and YCell are planned to cater to the concerns specific to chemistry and cell biochemistry. A lower-level extension of YPetri is currently under development under the name YNelson. Its usage is practically identical to YPetri, so any YPetri user can now consider using YNelson instead. YNelson covers additional concerns: it allows relations among nodes and parameters to be specified under a zz structure paradigm (developed by Ted Nelson) and it is also aimed towards providing a higher level of abstraction in Petri net specification by providing commands that create more than one Petri net node per command. YPetri documentation is avalable online, but due to formatting issues, you may prefer to generate the documentation on your own by running rdoc in the gem directory. As for the user manuals, there are currently 3 documents applicable for both YPetri and YNelson, whose master copies are stored in the YNelson source directory: 1. Introduction to YNelson and YPetri (hands-on tutorial), 2. Object model of YNelson and YPetri, 3. Introduction to Ruby for YNelson users. These manuals are written to allow beginners, including those unfamiliar with Ruby, to start working with YPetri and/or YNelson. For an example of how YPetri can be used to model complex dynamical systems, see the eukaryotic cell cycle model which I released as "cell_cycle" gem.
Contentful API wrapper library exposing an ActiveRecord-like interface
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