Browserify plugin to add transforms to dependencies
axios-add-transforms
Babel helper functions for implementing ES6 module transformations
Collection of helper functions used by Babel transforms.
This plugin transforms ES2015 modules to CommonJS
This plugin transforms ES2015 modules to UMD
Transforms new.target meta property
This plugin transforms private class methods
This plugin transforms ES2015 modules to AMD
This plugin transforms ES2015 modules to SystemJS
This plugin transforms checks for a private property in an object
Reduce transform functions with PostCSS.
Transforms logical assignment operators into short-circuited assignments
This plugin transforms static class properties as well as properties declared with the property initializer syntax
Data processing transforms for Vega dataflows.
Safe defaults for cssnano which require minimal configuration.
View-specific transforms for Vega dataflows.
A collection of codemod scripts written with JSCodeshift
Hierarchical layout transforms for Vega dataflows.
Geographic data transforms for Vega dataflows.
Utilities for building MetaMask applications
Visual encoding transforms for Vega dataflows.
Indexed cross-filtering for Vega dataflows.
Regression transform for Vega dataflows.
Enables ActiveStorage variants for other file types than images,such as audio or video files, through an API for registering custom transformers similar to previewers.
It's a rack middleware to add processing instructions on documents of response type XML.
Add Enumerable#filter, Enumerable#transform and some equivalent methods on Enumerable with suffix '_lz'.
A Ruby gem to easily transform images adding round corners.
This is the official Ruby SDK for Filestack - API and content management system that makes it easy to add powerful file uploading and transformation capabilities to any web or mobile application.
This Jekyll plugin adds a Liquid tag that helps using Cloudinary, a SaaS solution for images management and transformation. It helps using responsive images (picture, srcset, etc.) to optimize performance of websites.
Implements Hadamard- and sequency-ordered Fast Walsh Transforms as extensions of class Array. Adds a boolean power_of_2? method to class Integer.
Leverage Ruby and Liquid to transform data into a markdown file that you can use to easily create an 'Awesome' list that is easy for contributors to add to.
A library of extensions for outoftime's sunspot gem for solr indexing server. Using the session adapter design pattern to add support for: 1) delayed_job to move indexing commits out of process. Support for case insensitive sort fields by creating indexed copy of fields transformed for sort.
NOTE: This is a fork of puma-plugin-telemetry, modified to: - Support Puma 7 - Add LogTarget, with custom formatter: and transform: options - Warn about socket telemetry on unsupported platforms Puma plugin which should be able to handle all your metric needs regarding your webserver: - ability to publish basic puma statistics (like queue backlog) to both logs and datadog - ability to add custom target whenever you need it - ability to monitor puma socket listen queue (!) - ability to report requests queue time via custom rack middleware - the time request spent between being accepted by Load Balancer and start of its processing by Puma worker
The DynamicSchema gem provides a elegant and expressive way to define a domain-specific language (DSL) schemas, making it effortless to build and validate complex Ruby hashes. This is particularly useful when dealing with intricate configurations or interfacing with external APIs, where data structures need to adhere to specific formats and validations. By allowing default values, type constraints, nested schemas, and transformations, DynamicSchema ensures that your data structures are both robust and flexible. New in 2.0, DynamicSchema adds DynamicSchema::Struct which faciliates effortless definition and construction of complex object hierarchies, with optional type coersion and validation. Where DynamicSchema simplified configuration and API payload construction, DynamicSchema::Struct simplifies construction of complex API reponses.
Online logging solution (like [Datadog](https://www.datadoghq.com)) have drastically transform the way we log. An app will nowdays logs dozen (hundred) of logs per requests. The issue is often to correlate this logs, with the initiating request (or job) and add shared metadata on this logs. Here come `ContextualizedLogs`. The main idea is to enhance your logs from your controller (including `ContextualizedController`, which use a before action), which will add the params to your logs (and some metadata about the request itself, like `request.uuid`). This metadata are stored in a `ActiveSupport::CurrentAttributes` which is a singleton (reset per request). Each subsequent logs in this thread (request) will also be enriched with this metadata, making it easier to find all the logs associated with a request (`uuid`, `ip`, `params.xxx`). On top of this, logs can also be enriched by the ActiveRecord model they use (`create` or `find`) (models including `ContextualizedModel`). So any time a contextualized model is created or find, some metadata related to the model (`id`, ...) will also be added to the logs. Allowing you to find all logs which "touched" this models.
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