GitHub Trending List | Overview of Popular C++/C#/C Projects (2025.11.23) – 15 Projects Listed
Data statistics time: 2025-11-23 07:17:46
1. Snapchat/Valdi
📊 Data Metrics:
⭐ stars : 12.4k | 🍴 forks : 419
🔗 https://github.com/Snapchat/Valdi
Project Overview
Framework Positioning
Valdi is a high-performance cross-platform UI framework designed for teams pursuing native performance and development efficiency. It allows developers to write UI code in declarative TypeScript, which is directly compiled into native views on iOS, Android, and macOS without relying on WebView or JavaScript bridging technology, ensuring a smooth running experience.
Core Features
The framework features automatic view recycling, independent component rendering, and a C++ layout engine, achieving true native performance. It supports instant hot reloading, full-stack debugging in VSCode, and TSX syntax, significantly enhancing development iteration speed. It also provides flexible integration methods, allowing it to be embedded into existing native applications or to embed native components into Valdi, compatible with C++, Swift, Kotlin, and other multilingual modules.
Practical Applications and Ecosystem
Valdi has been stably running in multiple production-level applications at Snap for 8 years, supporting core functionalities such as complex animations, gesture recognition, and real-time rendering. The project provides complete documentation, a component library, Bazel build support, and a built-in testing framework to help teams quickly get started and scale.
2. ravynsoft/ravynos
📊 Data Metrics:
⭐ stars : 6.3k | 🍴 forks : 210
🔗 https://github.com/ravynsoft/ravynos
3. game1024/Speedy
📊 Data Metrics:
⭐ stars : 13.3k | 🍴 forks : 933
🔗 https://github.com/game1024/Speedy
Project Overview
OpenSpeedy Game Acceleration Tool
OpenSpeedy is a completely open-source and free game acceleration tool designed to help players break through game frame rate limits and achieve a smoother running experience. It adjusts in-game speed by modifying system time functions and supports custom speed control, suitable for various single-player or local games based on the Windows platform.
Core Features and Technical Characteristics
This tool is compatible with both x86 and x64 architecture processes, using Ring3 level API Hook technology (such as hooking Sleep, timeGetTime, QueryPerformanceCounter, etc.), without needing to delve into the kernel, ensuring safety and low performance overhead. The interface is simple and easy to use, with low resource consumption, supporting quick installation via Winget, and continuously undergoing automated builds and tests through GitHub Actions.
Usage Instructions and Precautions
Users should start OpenSpeedy first, then run the target game, and subsequently select the process and adjust the speed multiplier in the program interface for real-time effect. The project clearly states it is for learning and research purposes only and is not recommended for use in online competitive games to avoid triggering anti-cheat mechanisms that could lead to account bans. The project follows the GPLv3 open-source protocol and is maintained and developed by the community.
4. rhcp011235/A12_Bypass_OSS
📊 Data Metrics:
⭐ stars : 113 | 🍴 forks : 58
🔗 https://github.com/rhcp011235/A12_Bypass_OSS
Project Overview
Core Functionality
The iOS Activation Tool Suite is an end-to-end iOS device activation management solution designed to automate the device activation process. It works by coordinating between the client and server to provide remote configuration and activation support for connected devices.
Client Component
The client is developed in Python and runs on macOS or Linux systems, utilizing libimobiledevice and pymobiledevice3 libraries to communicate with iOS devices via USB. Its main functionalities include device lifecycle control (such as rebooting), system log analysis, and file system operations (AFC), automatically detecting device status and triggering the corresponding activation process.
Server Architecture
The server is built with PHP, serving as the core distribution center for activation configurations, dynamically generating device-specific activation payloads. It provides configuration data on demand through SQLite database templates and SQL scripts, and serves externally from the public directory as the web root.
Deployment and Usage
The project provides a one-click packaging script to generate release packages. During deployment, the server code must be deployed to a web server with correctly configured permission paths, and after setting the server address in the client, the activation program can be run. The overall process is simple and efficient, suitable for batch device activation scenarios.
5. vicinaehq/vicinae
📊 Data Metrics:
⭐ stars : 4.3k | 🍴 forks : 100
🔗 https://github.com/vicinaehq/vicinae
Project Overview
High-Performance Desktop Launcher
Vicinae is a native high-performance desktop launcher built on C++ and Qt, designed for developers and advanced users. It provides a fast, keyboard-centric system interaction experience, supporting common functionalities such as application launching, file searching, window focusing, and clipboard history management, significantly enhancing daily work efficiency.
Rich Extension Ecosystem
It includes a built-in React/TypeScript extension SDK, supporting the construction of complex search-oriented UI interfaces. It is compatible with the Raycast extension API, allowing direct installation and use of many existing extensions, and has an independent global extension store. Since version 0.16.0, it supports one-click installation of official Raycast extensions, continuously improving the ecosystem.
Highly Customizable
It offers a theme system, dmenu compatibility mode, multi-backend calculators, and quick opening of web links, supporting deep personalization configurations. Although still in the pre-1.0 stage, there may be breaking changes between versions, but the project documentation is comprehensive, development is active, and it aims to create the most powerful launcher solution for Linux.
6. francescopace/espectre
📊 Data Metrics:
⭐ stars : 3.2k | 🍴 forks : 214
🔗 https://github.com/francescopace/espectre
🛜 ESPectre
Project Overview
ESPectre is a device-free motion detection system based on Wi-Fi Channel State Information (CSI), capable of sensing movement in the environment without the need for cameras or microphones. The project utilizes ESP32-S3 or ESP32-C6 development boards to capture CSI data and analyzes signal changes in real-time through mathematical signal processing algorithms, achieving privacy-friendly action recognition.
Technical Features
The system employs pure mathematical methods to extract 10 statistical and spatiotemporal features, including variance, skewness, spatial gradient, etc., completing motion detection without machine learning training. The processing flow includes Moving Variance Segmentation (MVS), various filter noise reduction, and optional feature extraction modules, ensuring low-latency operation on embedded devices.
Applications and Integration
ESPectre supports sending detection results to Home Assistant via MQTT protocol, enabling smart home interactions such as automatic lighting, energy control, and elder care. Each sensor independently publishes topics, supporting multi-room deployment and localized automated management, suitable for various scenarios such as home security and energy optimization.
7. ZyperWave/ZyperWinOptimize
📊 Data Metrics:
⭐ stars : 5.2k | 🍴 forks : 282
🔗 https://github.com/ZyperWave/ZyperWinOptimize
ZyperWin++ 4.1 Project Introduction
Lightweight System Optimization Tool
ZyperWin++ 4.1 is a lightweight system optimization tool designed for Windows 7 to Windows 11, developed based on .NET Framework 4 and C#, using the AntDUI interface framework, with a beautiful interface and smooth operation. The software does not require additional runtime libraries (except for Win7), is compact, easy to carry, and suitable for quick system optimization in personal or educational scenarios.
Comprehensive Optimization and Personalization
It supports performance optimization, service item simplification, junk cleaning, Defender disabling, and various other functions, using a batch selection operation, allowing users to clearly choose optimization items and view descriptions for each. A new configuration import/export feature is added, automatically saving settings after optimization, supporting one-click restoration, enhancing flexibility and safety of use.
Practical Additional Features
It integrates powerful uninstallation of Edge browser, Appx application management, quick installation of Office, and C2R uninstallation functions, with fully automated operations and no residuals. The software includes a troubleshooting page, providing references for basic issues. It is free of bundling, does not upload data online, and verifies safety through multi-engine virus scanning, ensuring users can use it with confidence.
8. microsoft/agent-framework
📊 Data Metrics:
⭐ stars : 5.3k | 🍴 forks : 789
🔗 https://github.com/microsoft/agent-framework
Project Overview
Framework Overview
Microsoft Agent Framework is a cross-language AI agent development framework launched by Microsoft, supporting Python and .NET platforms. This framework aims to simplify the construction, orchestration, and deployment processes from simple chatbots to complex multi-agent workflows, providing a unified API interface and development experience.
Core Features
The framework supports graph-structured workflow orchestration, with data flow control, streaming responses, checkpoints, human-machine collaboration, and “time rewind” debugging capabilities. It includes a built-in DevUI developer interactive interface for easy testing and debugging. It also integrates OpenTelemetry, providing complete observability support, covering distributed tracing and monitoring.
Multi-Language and Extension Ecosystem
It supports both Python and C#/.NET, is compatible with various LLM service providers, and provides a middleware mechanism to extend the request processing flow. The AF Labs module includes cutting-edge experimental features such as benchmarking and reinforcement learning, helping developers explore the latest technological directions.
9. s1t5/mail-archiver
📊 Data Metrics:
⭐ stars : 1.1k | 🍴 forks : 36
🔗 https://github.com/s1t5/mail-archiver
📧 Mail-Archiver Project Introduction
Core Functionality
Mail-Archiver is an email archiving system built on ASP.NET Core 8, supporting automatic archiving of sent and received emails from multiple email accounts. The system uses PostgreSQL to store email content and attachments, and ensures data integrity through a scheduled synchronization mechanism. It supports IMAP, Microsoft 365 (via Graph API), and import-type accounts, meeting diverse access needs.
Search and Management
It provides powerful full-text search capabilities, supporting filtering by sender, subject, date, and other conditions. Users can preview emails online and view attachment lists, supporting exporting the entire mailbox as mbox or ZIP format EML files, as well as batch or single email exports. The system features multi-user permission management, allowing each user to be assigned independent email accounts and operational permissions.
Security and Operations
The system includes access logs that detail login, export, delete, and restore operations, ensuring audit tracking. It supports configuring global and account-level retention policies, allowing setting server email automatic cleanup days and local archiving retention periods. Quick deployment via Docker, combined with reverse proxy for HTTPS encrypted access, ensures production environment security.
User Experience
The front end is built on Bootstrap 5, adapting to mobile and desktop, supporting dark mode and multi-language interfaces. It provides a visual dashboard displaying storage usage, statistical charts, and sender analysis, enhancing management efficiency.
10. codykociemba/NoLongerEvil-Thermostat
📊 Data Metrics:
⭐ stars : 1.3k | 🍴 forks : 69
🔗 https://github.com/codykociemba/NoLongerEvil-Thermostat
Project Overview
Overview
NoLongerEvil Thermostat is an open-source firmware project aimed at freeing first and second-generation Nest thermostats from dependence on Google cloud services. By flashing a custom bootloader and kernel, the device connects to the independent NoLongerEvil platform, achieving localized control and data autonomy.
Functional Features
The project utilizes the OMAP’s DFU (Device Firmware Upgrade) interface to write modified x-load, u-boot, and Linux kernel images to Nest devices. After flashing, the device’s network communication is redirected to a community-maintained reverse-engineered API server, masquerading as interacting with the official Nest service, thus maintaining full functionality while severing ties with Google.
Usage Instructions and Precautions
Users need to run the installation script in a Linux, macOS, or compatible environment, first starting install.sh and then putting the device into DFU mode for flashing. The process involves low-level system operations, posing a risk of bricking, and is only recommended for technical enthusiasts to test on non-critical devices. The project promises to open all server-side code in the future, supporting self-hosted deployment and promoting the right to repair movement.
11. OHF-Voice/piper1-gpl
📊 Data Metrics:
⭐ stars : 1.7k | 🍴 forks : 178
🔗 https://github.com/OHF-Voice/piper1-gpl
Project Overview
High-Performance Localized Voice Synthesis Engine
Piper is a fast and locally running neural network text-to-speech (TTS) engine, dedicated to providing high-quality, low-latency voice synthesis experiences. It incorporates espeak-ng for phoneme conversion, ensuring accurate pronunciation of multilingual texts.
Rich Interfaces and Integration Support
Piper offers various usage methods, including command-line tools, HTTP services, and Python and C/C++ APIs (libpiper), making it easy for developers to integrate in different scenarios. It also supports training custom voice models to meet personalized needs.
Wide Application Ecosystem
The project has been adopted by several well-known projects such as Home Assistant, NVDA, LocalAI, and is widely used in assistive technology, smart voice assistants, and edge computing scenarios, demonstrating strong compatibility and practicality.
12. Achuan-2/SlideSCI
📊 Data Metrics:
⭐ stars : 1.8k | 🍴 forks : 58
🔗 https://github.com/Achuan-2/SlideSCI
Project Overview
SlideSCI is a PowerPoint plugin designed for researchers, aimed at solving common formatting and content insertion pain points in research presentations. The developer created this efficient and practical tool based on their actual needs for making academic presentation PPTs weekly, utilizing AI-assisted development.
Core Features
The plugin supports batch adding image titles and tags, automatic arrangement of multiple images, copying and pasting element positions and formats, and unifying image sizes, significantly improving PPT production efficiency. It is particularly suitable for research scenarios that require frequent insertion of charts.
Content Enhancement Features
It supports direct insertion of highlighted code blocks (including various programming languages), LaTeX mathematical formulas (in text or SVG format), and complete Markdown notes, achieving one-click import of images, formulas, and code while preserving the original format structure.
Development and Usage Instructions
Developed using C# based on the VSTO framework, it only supports Microsoft PowerPoint on Windows systems. Installation is simple, with detailed configuration guidance provided, and the open-source code is hosted on GitHub, following the AGPL-3.0 license agreement.
13. X11Libre/xserver
📊 Data Metrics:
⭐ stars : 3.8k | 🍴 forks : 198
🔗 https://github.com/X11Libre/xserver
Project Overview
Overview
XLibre is an open-source display server implementation based on X.Org Server, following the X Window System protocol version 11 (X11). The project forked from X.Org in June 2025, aiming to maintain and modernize the X11 technology stack, ensuring its usability and competitiveness in the future. XLibre supports multiple platforms, including FreeBSD, NixOS, and embedded devices like RK3588, demonstrating good cross-platform capabilities.
Goals and Mission
XLibre is committed to cleaning up and strengthening the codebase while maintaining backward compatibility with existing applications. The project actively enhances Xserver functionality, integrating long-unreleased fixes and improvements, and bringing features previously limited to Xwayland back to the traditional X environment. The decision-making mechanism is centered around technical contributions, relying on an active community to promote the development of X technology.
Achievements
Since the fork, XLibre has completed several important updates: introduced the Xnamespace extension to isolate clients, enabled TearFree rendering by default, supported atomic mode settings, migrated Xnest to xcb, and improved automatic compatibility with Nvidia proprietary drivers. Additionally, the project has released its first official version, established a continuous integration process, and promoted multi-distribution packaging support.
Future Plans and Participation
Future plans include strengthening static code analysis, optimizing the testing system, improving documentation and branding, and publicly sharing the roadmap through GitHub Projects. The community welcomes various contributions, whether in development, testing, documentation writing, or packaging support, with participation opportunities available in public discussion areas or issues.
14. zinabhall/Aviator
📊 Data Metrics:
⭐ stars : 179 | 🍴 forks : 86
🔗 https://github.com/zinabhall/Aviator
Project Introduction
Software Features and Characteristics
Av1at0r is an intelligent tool that integrates advanced predictive algorithms and assistive features, supporting multi-platform use, including Windows, Mac, and Android systems. Through unique hack5 technology and a precise prediction engine (predictor), users can efficiently complete various tasks, enhancing the operational experience. The software design emphasizes practicality and convenience, suitable for various application scenarios.
Installation and Acquisition
Users need to click the download button on the page, redirecting to the official website to select the installation package for the corresponding device (such as PC version, Mac version, or Android APK). After downloading, run the installation program and follow the prompts to complete the configuration for use. The official provides a safe and stable download channel, ensuring users obtain genuine software.
15. DreamMaoMao/mangowc
📊 Data Metrics:
⭐ stars : 1.3k | 🍴 forks : 57
🔗 https://github.com/DreamMaoMao/mangowc