A tool for converting json's field names in typescript or javascript! Support multiple individual names! 一个用于转换json字段名的ts/js工具，支持多个别名
Escape U+2028 LINE SEPARATOR and U+2029 PARAGRAPH SEPARATOR in JS strings
Transforms module resolution paths using TypeScript path mapping and/or custom paths
webpack Validation Utils
Jest plugin to use babel for transformation.
Utilities for handling JSON transformers
Transform DOM elements into react-native-svg components
Transform SVG into component
Reusable JSON Schema (Draft 04) validation library for Expo
Utilities for reading JSONObjects (Android) and NSDictionaries (iOS).
utils for daybrush
Astro’s [Go](https://golang.org/) + WASM compiler.
Compile ES2015 object super to ES5
Safe Json Utils
Compile ES2015 default and rest parameters to ES5
Compile ES2015 destructuring to ES5
A set of utility functions commonly used by unplugins.
Compile ES2015 block scoping (const and let) to ES5
Compile ES2015 sticky regex to an ES5 RegExp constructor
Angular DevKit - Core Utility Library
Utilities for building json tree data
webpack Validation Utils
Apply ES2015 function.name semantics to all functions
Babel plugin to ensure function declarations at the block level are block scoped
Template Configurator is a utility to write configuration files from ERB templates. When the file's content changes, it can then call an init script to intelligently reload the configuration. Through out the entire process exclusive file locks are used on the output file and json file to help ensure they are unmanipulated during the transformation process.
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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