Results for create-backend-project

This gem is created to cater the projects which do not require a backend/database, but still need some of the niceties offered by the ActiveRecord

This gem is created to cater the projects which do not require a backend/database, but still need all the niceties offered by the ActiveModel

A simple component library which seamlessly hooks into your Rails project and allows you to create simple backend components. They work like mini controllers which are bound with their view.

Claude Swarm enables you to run multiple Claude Code instances that communicate with each other via MCP (Model Context Protocol). Create AI development teams where each instance has specialized roles, tools, and directory contexts. Define your swarm topology in simple YAML and let Claude instances collaborate across codebases. Perfect for complex projects requiring specialized AI agents for frontend, backend, testing, DevOps, or research tasks.

backend-toolkit =============== A set of classes that simplify building a scalable backend for your app. Requirements ---------------- * redis (server and ruby gem) * json gem Installation ---------------- $ gem install backend-toolkit Development & Testing ---------------- $ bundle install $ rake Usage ---------------- ```ruby require 'backend-toolkit' # TO DO ``` Contributions ---------------- * Check commits history and issue tracker to be sure that no one else is working on the feature you want or are fixing the bug you found. * Fork the project. * Create a feature/bugfix branch and work on it. * Please add all tests needed to have a reasonably coverage of the new feature or bug that you are fixing. * Rebase your branch and open a pull request. * Please don't mess with the Rakefile, version, or history. License, Authors & Contributors ------- Check LICENSE.txt and AUTHORS.txt

The `next_rails_scaffold` gem is a powerful extension to the standard Ruby on Rails scaffold generator. It streamlines the development workflow by not only creating the backend structure with Rails but also automating the setup of a frontend directory using Next.js. Upon running the scaffold generator, this gem intelligently generates a Next.js application within the specified frontend directory. The generated Next.js app follows best practices, including a structured page routing system, ensuring that each resource created by the scaffold has its corresponding page and components. This integration enables developers to seamlessly transition between Rails backend and Next.js frontend development, fostering a cohesive and efficient development environment. Key Features: - **Automatic Frontend Setup:** The gem automates the creation of a frontend directory within the Rails project, ready for Next.js development. - **Page Routing Integration:** All scaffolded resources come with their own pages and components, organized using Next.js' page routing system. - **Effortless Transition:** Developers can seamlessly switch between Rails backend and Next.js frontend development within the same project. - **Boosted Productivity:** Accelerate development by eliminating the manual setup of frontend components and pages, allowing developers to focus on building features. Integrate `next_rails_scaffold` into your Ruby on Rails projects to enjoy a streamlined, organized, and efficient full-stack development experience.

Here's some of the things you can do with *EmergentCore*: * *Create* a complete _Adobe_ _Flex_ or _AIR_ application in less than 5 minutes. Use our lightweight Ruby-based code generation toolkit to create a fully functional CRUD application. Simply do: sudo gem install restfulx sudo gem install emergent_core And then run: emergent_core -h * *Integrate* with _Ruby_ _On_ _Rails_ applications to provide a scalable backend to your Flash or Flex projects. * *Visualize* your ideas on the internet using sophisticated animations. * *Develop* hardcore Content Management Systems based on Graph Theory and ideas behind Stochastic Systems.

==== Topic Maps for Rails (rtm-rails) RTM-Rails is the Rails-Adapter for Ruby Topic Maps. It allows simple configuration of topicmaps in config/topicmaps.yml. ==== Overview From a developer's perspective, RTM is a schema-less database management system. The Topic Maps standard (described below) on which RTM is based provides a way of creating a self-describing schema just by using it. You can use RTM as a complement data storage to ActiveRecord in your Rails apps. ==== Quickstart - existing Rails project jruby script/generate topicmaps Run the command above after installing rtm-rails. This will create * a minimal default configuration: config/topicmaps.yml and * a file with more examples and explanations config/topicmaps.example.yml * a file README.topicmaps.txt which contains more information how to use it and where to find more information * an initializer to load the topicmaps at startup * a rake task to migrate the topic maps backends in your rails application. ==== Quickstart - new Rails project For a new Rails application these are the complete initial steps: jruby -S rails my_topicmaps_app cd my_topicmaps_app jruby -S script/generate jdbc jruby -S script/generate topicmaps # The following lines are necessary because Rails does not have a template # for the H2 database and Ontopia does not support the Rails default SQLite3. sed -e "s/sqlite3/h2/" config/database.yml > config/database.yml.h2 mv config/database.yml.h2 config/database.yml # Prepare the database and then check if all is OK jruby -S rake topicmaps:migrate_backends jruby -S rake topicmaps:check ==== Usage inside the application When everything is fine, let's create our first topic: jruby -S script/console TM[:example].get!("http://example.org/my/first/topic") # and save the topic map TM[:example].commit Access the configured topic maps anywhere in your application like this: TM[:example] To retrieve all topics, you can do TM[:example].topics To retrieve a specific topic by its subject identifier: TM[:example].get("http://example.org/my/topic") Commit the changes to the database permanently: TM[:example].commit ... or abort the transaction: TM[:example].abort More information can be found on http://rtm.topicmapslab.de/ ==== Minimal configuration default: topicmaps: example: http://rtm.topicmapslab.de/example1/ The minimal configuration creates a single topic map, named :example with the locator given. This topic map will be persisted in the same database as your ActiveRecord connection if not specified otherwise. The default backend is OntopiaRDBMS (from the rtm-ontopia gem). A more complete configuration can be found in config/topicmaps.example.yml after running "jruby script/generate topicmaps". It also includes how to specifiy multiple connections to different data stores and so on. ==== Topic Maps Topic Maps is an international industry standard (ISO13250) for interchangeably representing information about the structure of information resources used to define topics, and the relationships between topics. A set of one or more interrelated documents that employs the notation defined by this International Standard is called a topic map. A topic map defines a multidimensional topic space - a space in which the locations are topics, and in which the distances between topics are measurable in terms of the number of intervening topics which must be visited in order to get from one topic to another, and the kinds of relationships that define the path from one topic to another, if any, through the intervening topics, if any. In addition, information objects can have properties, as well as values for those properties, assigned to them. The Topic Maps Data Model which is used in this implementation can be found on http://www.isotopicmaps.org/sam/sam-model/. ==== License Copyright 2009 Topic Maps Lab, University of Leipzig. Apache License, Version 2.0

Ruby Scientist and Graphics is a practical data science toolkit for Ruby. It includes a lightweight built-in DataFrame for loading, cleaning, and transforming data; quick descriptive statistics and correlations; charting via Gruff (bar and line); and simple ML utilities (linear regression and k-means)—all behind a small, unified, pandas-inspired API. Key features: - Load data from CSV and JSON. - Clean and transform (remove/add columns, handle missing values, limit rows). - Describe datasets and compute correlations quickly. - Create bar and line charts with customization options. - Train/predict with linear regression; cluster with k-means. - Save/load project state (data + trained model) and run simple pipelines. - Optional backend adapters (e.g., Rover) while keeping the same API. Ideal for analysts and developers who want to explore data in Ruby without relying on Python or R. Note: plotting via Gruff uses rmagick, which requires ImageMagick installed on the system.

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