Results for adaptive-linearization

Adaptive linearization of bezier curves

Adaptive Cards Javascript library for HTML Clients

Bot Framework Adaptive Dialogs runtime core components

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A package that implements the C3 linearization algorithm

Adaptive Card data binding and templating engine for JavaScript

Common Expression Language

A library of styleable components built using React Aria

Optimizes FullCalendar for print

adaptive and scalable 2D bezier curves

adaptive and scalable 2D quadratic curves

A library of pure JS/HTML controls designed for use with Adaptive Cards.

SharePoint Framework Adaptive Card Extensions

Give users a great experience best suited to their device and network constraints

adaptive-timeout

Adaptive Card designer embeddable control

A modern TypeScript library for color parsing, conversion, and manipulation.

DASH/EME video player library

Hardhat plugin to print Solidity linearization

This tool will crop and resize PNG source images into appropriate sizes for modern iOS and Android devices.

Utility to use adaptive content in GitBook

Spectrum UI components in React

Paypal Adaptive (Payments & Accounts) SDK in node.js

Hardhat plugin to print Solidity linearization

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.