Create multiple output panels for nodejs
[](https://www.npmjs.com/package/@aws-sdk/signature-v4-multi-region) [](https:/
Convert Windows backslash paths to slash paths
A cross-platform global keyboard and mouse listener for Node.js
Universal filesystem path utils
Check if the process is running inside Windows Subsystem for Linux (Bash on Windows)
Returns true if the platform is windows. UMD module, works with node.js, commonjs, browser, AMD, electron, etc.
Module to generate Windows installers for Electron apps
[](https://github.com/dhoulb/multi-semantic-release/actions) [
Multi-root editor implementation for CKEditor 5.
An end-to-end terminal testing framework for CLI and TUI experiences
Generate multiple mocha reports in a single mocha execution.
A Node.js module for sending notifications on native Mac, Windows (post and pre 8) and Linux (or Growl as fallback)
Plugin for [electron-builder](https://github.com/electron-userland/electron-builder) to build Squirrel.Windows installer.
Get the name of a Windows version from the release number: `5.1.2600` → `XP`
Codesign Electron Windows apps
The windows x86 and ia32 distribution of the Sentry CLI binary.
The windows x64 distribution of the Sentry CLI binary.
This module provides native bindings to ecdsa secp256k1 functions
Detect whether the terminal supports Unicode
Tests whether one path is inside another path
The windows arm64 distribution of the Sentry CLI binary.
Tauri plugin for multi-window registry, lifecycle, and routing.
Utilities for managing many windows in an iced application
Direct UIKit backend for Bevy Engine
Snap Layout feature for Windows 11 frameless functionality.
A terminal-based typing simulator that mimics hacking scenes from movies.
An agentic-first GUI framework with pluggable rendering backends and complete ontology for AI agent discoverability
The hacker's UI toolkit for Rust — GPU-accelerated devtools, terminals, and dashboards
Core widgets, layout, and signals for BexaUI — the hacker's UI toolkit for Rust
GPU rendering backend for BexaUI — wgpu + glyphon text rendering
Enterprise-grade analytics hub for LLM ecosystem monitoring with Kafka, TimescaleDB, Redis, and Kubernetes orchestration
Abstract event loop library for winit-based applications with OpenGL and wgpu backends, integrating gapp traits for clean separation of input, update, render, and present
Application and Windowing for Kludgine
This is a high-performance Ruby C-extension for the excellent GLFW3 library.
Multi-process concurrent structures utilizing shared memory - NOT SUPPORTED FOR WINDOWS
Ruby gem for distributed rate limiting backed by Redis. Provides a sliding-window limiter with configurable polling and maximum wait time, suitable for multi-process and multi-thread workloads.
EventMachine-LE (Live Edition) is a branch of EventMachine (https://github.com/eventmachine/eventmachine). This branch incorporates interesting pull requests that are not yet included in the mainline EventMachine repository. The maintainers of that version prefer to minimize change in order to keep the stability with already existing EventMachine deployments, which provides an impressive multi-platform base for IPv4 TCP servers (e.g., Web servers) that don't need good UDP or IPv6 support. This dedication to stability is helpful for production use, but can also lead to ossification. The present "Live Edition" or "Leading Edge" branch has its focus on supporting a somewhat wider use, including new Web servers or protocols beyond the HTTP Web. To provide even more focus, this branch is currently applying its energy towards Linux and Unix/BSD/OSX environments. Java reactor and pure Ruby reactor are for now removed in this branch, and Windows/Cygwin support is untested. This may very well change later, once interesting pull requests come in. EventMachine-LE draws from a number of dormant pull requests on the mainline version of EventMachine. New proposals will also directly come to EventMachine-LE and will be included once they are tested. This is not a "development branch", EventMachine-LE is ready for production, just beyond the focus of mainline EventMachine.
ignis-dl is the deep-learning layer of the Ignis ecosystem: NN modules (Linear, Embedding, LayerNorm, RMSNorm, Dropout), optimizers (SGD/Adam/AdamW), losses, and a transformer stack (multi-head + grouped-query attention, RoPE, SwiGLU, KV cache) with HuggingFace weight loaders (GPT-2, Llama). Loads real GPT-2 and Llama-3.2 checkpoints and matches HuggingFace logits, and trains transformers from scratch — in Ruby, on native Windows. Installing this pulls the whole stack (ignis + ignis-autograd), so it also serves as the meta-gem.
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