A Model Context Protocol server for the Linear API.
A Model Context Protocol server for the Linear API.
A Model Context Protocol server for the Linear API.
Linear CLI - Developer-friendly Linear API client
MCP server for using the Linear API
Model Context Protocol server for Linear API
A Model Context Protocol (MCP) server for the Linear API
The Linear Client SDK for interacting with the Linear GraphQL API
A Model Context Protocol server for the Linear API.
Provides a React component that renders a gradient view.
MCP server providing tools to interact with the Linear API (Issues, Projects, Teams).
Lightweight MCP wrapper for Linear API - consolidates 23+ tools into 1
Linear API tools for OpenAI, Anthropic, and AI SDK
CLI tool for interfacing with the Linear API
The Material Components for the web linear progress indicator component
An MCP server for Linear API, enabling AI assistants to query issues, projects, and teams via GraphQL.
A library to find JS RegExp with super-linear worst-case time complexity for attack strings that repeat a single character.
A Model Context Protocol server for the Linear API.
TypeScript CLI for Linear API
Use the display-p3-linear color space on the color() function in CSS
Calculate statistical regressions for two-dimensional data
A <LinearGradient> element for React Native
Linear project management integration — create, update, and query issues, teams, and projects via the Linear API with dependency injection support
Command-line interface for Linear API with cross-team reporting and AI-assisted label management
A Ruby gem for interacting with the Linear project management API. Supports creating, updating, and querying issues, projects, and labels. Includes a Rails Engine for database-backed issue tracking and caching.
Provide an interface to access the Linear API
Efficient command-line interface for interacting with Linear's GraphQL API
A Ruby MCP server that wraps Linear's GraphQL API and returns TOON-formatted responses for ~40-60% token savings in LLM workflows.
# Introduction Rglpk is a package providing a Ruby wrapper to the [GNU GLPK](http://www.gnu.org/software/glpk/) library. The GLPK (GNU Linear Programming Kit) package is intended for solving large-scale linear programming (LP), mixed integer programming (MIP), and other related problems. Rglpk (pronounced as "wriggle-pick") is currently in alpha status and the API should be considered subject to change. Rglpk uses [Swig](http://www.swig.org/) to initially wrap the C GLPK library (using a Swig wrapper originally developed by Nigel Galloway) and then a pure Ruby library to wrap the Swig code in a more friendly OO-style.
Pure ruby implementation of binary search for Ruby arrays and similiar data structures. Supports ascending and descending sort order, searching for exact and nearest matches, and has a versatile API. Uses linear search for small arrays to make use of the internal cache of moden CPUs.
ignis-numerics is GPU numerical computing for Ruby on the Ignis foundation: dense/sparse linear algebra, FFT (cuFFT), random number generation (cuRAND), linear solvers & decompositions (cuSOLVER), and Einstein-notation tensor contraction (cuTENSOR), with an nvmath-style API (Ignis.fft, Ignis.solve, Ignis.zeros, …). The lineage NvRuby began from, revived as a standalone gem.
Aspose.Barcode for Cloud is a REST API for barcode generation and recognition. It helps you generate barcode images from scratch in linear (1D), two dimensional (2D), and postal formats. Generate barcode images in a variety of image formats: JPEG, PNG, GIF, BMP, TIFF and many others. Recognize barcodes from different image types. Aspose.Barcode for Cloud allows you to control all aspects of the image and barcode when generating barcode images. Specify image width, height, border style, output image format and more. You can also set barcode attributes like font style, font color, background color, barcode type and the barcode text location.
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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