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Starred repositories
📚 Collaborative cheatsheets for console commands
《明日方舟》小助手，全日常一键长草！| A one-click tool for the daily tasks of Arknights, supporting all clients.
The LLVM Project is a collection of modular and reusable compiler and toolchain technologies.
An enterprise-class UI design language and React UI library
A modern GUI client based on Tauri, designed to run in Windows, macOS and Linux for tailored proxy experience
.NET Decompiler with support for PDB generation, ReadyToRun, Metadata (&more) - cross-platform!
Verify is a snapshot testing tool that simplifies the assertion of complex data models and documents.
JDK main-line development https://openjdk.org/projects/jdk
TouchSocket is an integrated .NET networking framework that includes modules for socket, TCP, UDP, SSL, named pipes, HTTP, WebSocket, RPC, and more. It offers a one-stop solution for TCP packet iss…
A GUI client for Windows, Linux and macOS, support Xray and sing-box and others
Automatic versioning and CHANGELOG generation, with semver and conventional commits for dotnet
Generate Facets, DTOs, projections, and mappers from complex domain models.
Multi-platform, free open source software for visualization and image computing.
The 7-Zip derivative intended for the modern Windows experience
Automatically block unwanted, leeches and abnormal BT peers with support for customized and cloud rules.| BT 反吸血工具 - 自动封禁不受欢迎、吸血和异常的 BT 客户端，并支持自定义规则。支持 qB/qBEE/Deluge/BiglyBT/BitComet
Template package for creating mods for Hollow Knight: Silksong
A comprehensive suite of tools that adds functionality and improves the browsing experience of e621.net
Visualize streams of multimodal data. Free, fast, easy to use, and simple to integrate. Built in Rust.
Git Source Code Mirror - This is a publish-only repository but pull requests can be turned into patches to the mailing list via GitGitGadget (https://gitgitgadget.github.io/). Please follow Documen…
Developer-first error tracking and performance monitoring
Visualizer for neural network, deep learning and machine learning models