🏗️ Run a module in a Web Worker.
- web-worker
- web-workers
- threading
47,133 repositories indexed
73–96 of 870 · Most stars
🏗️ Run a module in a Web Worker.
Promise queue with concurrency control
Missing data visualization module for Python.
Voxel module for Godot Engine
A non-validating SQL parser module for Python
A Python module for creating Excel XLSX files.
Module for automatic summarization of text documents and HTML pages.
A Python module to bypass Cloudflare's anti-bot page.
pySLAM is a hybrid Python/C++ Visual SLAM pipeline supporting monocular, stereo, and RGB-D cameras. It provides a broad set of modern local and global feature extractors, multiple loop-closure strategies, a volumetric reconstruction module, integrated depth-prediction models, and semantic segmentation capabilities for enhanced scene understanding.
A collection of NixOS modules covering hardware quirks.
A repository of sysmon configuration modules
Lightweight simple translation module for node.js / express.js with dynamic json storage. Uses common __('...') syntax in app and templates.
BS::thread_pool: a fast, lightweight, modern, and easy-to-use C++17 / C++20 / C++23 thread pool library
An uber-fast parallelized Java classpath scanner and module scanner.
Android Package Inspector - dynamic analysis with api hooks, start unexported activities and more. (Xposed Module)
Configure Neovim with Nix! [maintainers=@GaetanLepage, @traxys, @mattsturgeon, @khaneliman]
The C++ Standard Library for Parallelism and Concurrency
:octocat: 🎚 RAMPaperSwitch is a Swift material design UI module which paints over the parent view when the switch is turned on. iOS library by @Ramotion
Find out which of your dependencies are slowing you down 🐢
CommonMark/Markdown Java parser with source level AST. CommonMark 0.28, emulation of: pegdown, kramdown, markdown.pl, MultiMarkdown. With HTML to MD, MD to PDF, MD to DOCX conversion modules.
LKM rootkit for Linux Kernels 2.6.x-7.x (x86/x86_64 and ARM/ARM64)
Terraform & OpenTofu Skill for AI Agents - testing, modules, CI/CD, and production patterns
A modular active learning framework for Python
Saves up to 90% of AWS EC2 costs by automating the use of spot instances on existing AutoScaling groups. Installs in minutes using CloudFormation or Terraform. Convenient to deploy at scale using StackSets. Uses tagging to avoid launch configuration changes. Automated spot termination handling. Reliable fallback to on-demand instances.