Results for adaptic-utils

LinuxFr.org HTML processing filters and utilities, adapted from those of GitHub

This gem includes several enhancements and customizations to the standard ActiveRecord Oracle Enhanced adapter, which is still required. Any customizations to this adapter's behaviour or additional Oracle-specific utilities should be added here.

Pug is a collection of mixins and functions for use in Sass/Compass projects. It provides various helpers and utilities, some of which are adapted from CSS classes included in various HTML starter packages like Bootstrap and HTML5 Boilerplate. It aims to increase consistency and productivity in front-end development, as well as to help get non-semantic utility classes out of markup.

This is a Ruby library for interfacing with an Oracle Database using pooled OCI8 raw connections (http://ruby-oci8.rubyforge.org/en/). Connection pooling is achieved by utilizing ActiveRecord Oracle Enhanced adapter (https://github.com/rsim/oracle-enhanced).

A Ruby/Rails adaptation of the viem TypeScript library. Provides Ethereum clients, ABI encoding/decoding, account management, and utilities for Ruby on Rails 7+ applications.

This gem provides basic utility classes for reading and writing specific bits as flags or fields on Integer values. It lets you turn a single integer value into a collection of boolean values (flags) or smaller numbers (fields). Includes integration adapters for ActiveRecord and Mongoid with a simple interface to make your own custom adapter for any other ORM (ActiveModel, ActiveResource, etc).

Rubot is a library for creating bots for MediaWiki projects (i.e. Wikipedia). This gem contains the rubot base library and a collection of rubot utilities. It can be either used directly or through an adapter library (for handling monitoring, caching and so on). Status Quo: This libary is working quite smooth now but it's not as feature-rich as I want it to be. Heavy improvements to be expected.

CommandSet is a user interface framework. Its focus is a DSL for defining commands, much like Rake or RSpec. A default readline based terminal interpreter (complete with context sensitive tab completion, and the amenities of readline: history editing, etc) is included. It could very well be adapted to interact with CGI or a GUI - both are planned. CommandSet has a lot of very nice features. First is the domain-specific language for defining commands and sets of commands. Those sets can further be neatly composed into larger interfaces, so that useful or standard commands can be resued. Optional application modes, much like Cisco's IOS, with a little bit more flexibility. Arguments have their own sub-language, that allows them to provide interface hints (like tab completion) as well as input validation. On the output side of things, CommandSet has a very flexible output capturing mechanism, which generates a tree of data as it's generated, even capturing writes to multiple places at once (even from multiple threads) and keeping everything straight. Methods that normally write to stdout are interposed and fed into the tree, so you can hack in existing scripts with minimal adjustment. The final output can be presented to the user in a number of formats, including contextual coloring and indentation, or even progress hashes. XML is also provided, although it needs some work. Templates are on the way. While you're developing your application, you might find the record and playback utilities useful. cmdset-record will start up with your defaults for your command set, and spit out an interaction script. Then you can replay the script against the live set with cmdset-playback. Great for ad hoc testing, usability surveys and general demos.

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.