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Edit and display rich text in Rails applications
Transform import() expressions
Microsoft Azure Storage SDK for JavaScript - Blob
A flexible scheduler (cron, solar events, fixed dates) node for Node-RED with full dynamic control and time zone support
Attach cloud and local files in Rails applications
Allow parsing of import()
Simple object hashing, serialization and comparison utils.
mdast extension to parse and serialize MDX (or MDX.js) expressions
mdast extension to parse and serialize MDX or MDX.js JSX
mdast extension to parse and serialize GFM footnotes
Transform SVG by adding a dynamic title element
mdast extension to parse and serialize GFM strikethrough
mdast extension to parse and serialize MDX.js ESM (import/exports)
mdast extension to parse and serialize GFM tables
mdast extension to parse and serialize GFM task list items
Node.js API (Node-API)
WebSocket framework for Ruby on Rails.
Zero-config import from NPM packages
ESM -> WebAssembly Component creator, via a SpiderMonkey JS engine embedding
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mdast extension to parse and serialize math
Microsoft Authentication Library for js
mdast extension to parse and serialize frontmatter (YAML, TOML, etc)
Dynamic Active Model automatically discovers database schemas and creates ActiveRecord models without manual class definitions. It detects and configures relationships (belongs_to, has_many, has_one, has_and_belongs_to_many) based on foreign keys and constraints, handles dangerous attribute names, supports model extensions, and includes a CLI tool for interactive database exploration.
DecoLite is a little gem that allows you to use the provided DecoLite::Model class to dynamically create Decorator class objects. Use the DecoLite::Model class directly, or inherit from the DecoLite::Model class to create your own unique subclasses with custom functionality. DecoLite::Model includes ActiveModel::Model, so validation can be applied using ActiveModel validation helpers (https://api.rubyonrails.org/v6.1.3/classes/ActiveModel/Validations/HelperMethods.html) you're familiar with; or, you can roll your own - just like any other ActiveModel. DecoLite::Model allows you to consume a Ruby Hash that you supply via the initializer (DecoLite::Model#new) or via the DecoLite::Model#load! method. Any number of Ruby Hashes can be consumed. Your supplied Ruby Hashes are used to create attr_accessor attributes (or "fields") on the model. Each attribute created is then assigned the value from the Hash that was loaded. Again, any number of hashes can be consumed using the DecoLite::Model#load! method.
This gem allows you to create dynamic classes (models) based on a JSON Schema, providing validations and being compliant with ActiveModel.
Adds a number of extra dynamic finders to active record models
Adds ability to put dynamic fields into active record models
Access active-record models inside Reactrb components. Model data is calculated during pre-rerendering, and then dynamically loaded as components update.
Provides an easy way to add toggleable boolean fields (e.g., active, enabled) to Rails models with dynamic methods and scopes.
Every class or object can be transformed to observer and dynamically react to data changes across several models. Observable module is using build in Active Record hooks or database triggers which can be turned on in multiple App environment.
A simple SEO URL friendly slug model generator. Friendly Slug is meant to dynamically create SEO friendly URL links. It is extremely lightweight and non resource intensive. Friendly Slug ties directly into the Rails URL Helpers so you dont have to change anything. There is no need to create a Rails Migration as this gem does not add anything to your current database unless you want to use the database option. You must have Active Model in your code base for this to work.
Models mutualistic, parasitic, and commensal relationships between cognitive subsystems — co-active subsystems may enhance or drain each other based on symbiotic bond dynamics
Pampa is a Ruby library for async & distributing computing providing the following features: - cluster-management with dynamic reconfiguration (joining and leaving nodes); - distribution of the computation jobs to the (active) nodes; - error handling, job-retry and fault tolerance; - fast (non-direct) communication to ensure realtime capabilities. The Pampa framework may be widely used for: - large scale web scraping with what we call a "bot-farm"; - payments processing for large-scale ecommerce websites; - reports generation for high demanded SaaS platforms; - heavy mathematical model computing; and any other tasks that requires a virtually infinite amount of CPU computing and memory resources. Find documentation here: https://github.com/leandrosardi/pampa