#other #awesome #awesome_list #c #c_plus_plus #cpp #cpp_library #cppcon #libraries #list #lists #programming_tutorial #resources
You can access a vast, well-organized collection of C++ libraries, frameworks, and tools that cover almost every programming need—from standard libraries, GUI, networking, and machine learning to game engines, cryptography, and more. This curated list includes popular and high-quality options like Boost, Qt, OpenCV, and many specialized libraries for tasks such as asynchronous programming, audio processing, and serialization. Using these resources can save you time, improve code quality, and help you build efficient, robust applications by leveraging tested, peer-reviewed components instead of writing everything from scratch. It’s a one-stop reference to boost your C++ development productivity and capabilities.
https://github.com/fffaraz/awesome-cpp
You can access a vast, well-organized collection of C++ libraries, frameworks, and tools that cover almost every programming need—from standard libraries, GUI, networking, and machine learning to game engines, cryptography, and more. This curated list includes popular and high-quality options like Boost, Qt, OpenCV, and many specialized libraries for tasks such as asynchronous programming, audio processing, and serialization. Using these resources can save you time, improve code quality, and help you build efficient, robust applications by leveraging tested, peer-reviewed components instead of writing everything from scratch. It’s a one-stop reference to boost your C++ development productivity and capabilities.
https://github.com/fffaraz/awesome-cpp
GitHub
GitHub - fffaraz/awesome-cpp: A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired…
A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff. - fffaraz/awesome-cpp
#c_lang #cuda #cuda_driver_api #cuda_kernels #cuda_opengl
You can use the CUDA Samples from NVIDIA to learn and test CUDA Toolkit 12.9 features by downloading them from GitHub or as a ZIP file. These samples show how to use CUDA for GPU programming, including utilities, concepts, libraries, and performance optimization. You build them with CMake on Linux, Windows, or Tegra devices, and can run tests automatically with a provided Python script. This helps you understand CUDA programming, debug GPU code, and optimize your applications for better performance on NVIDIA GPUs. It’s a practical way to develop and improve GPU-accelerated software efficiently.
https://github.com/NVIDIA/cuda-samples
You can use the CUDA Samples from NVIDIA to learn and test CUDA Toolkit 12.9 features by downloading them from GitHub or as a ZIP file. These samples show how to use CUDA for GPU programming, including utilities, concepts, libraries, and performance optimization. You build them with CMake on Linux, Windows, or Tegra devices, and can run tests automatically with a provided Python script. This helps you understand CUDA programming, debug GPU code, and optimize your applications for better performance on NVIDIA GPUs. It’s a practical way to develop and improve GPU-accelerated software efficiently.
https://github.com/NVIDIA/cuda-samples
GitHub
GitHub - NVIDIA/cuda-samples: Samples for CUDA Developers which demonstrates features in CUDA Toolkit
Samples for CUDA Developers which demonstrates features in CUDA Toolkit - NVIDIA/cuda-samples
#c_lang #bluetooth #bluetooth_le #embedded #embedded_c #iot #mcu #microcontroller #real_time #rtos #zephyr #zephyr_rtos #zephyros
Zephyr is a free, open-source real-time operating system (RTOS) designed for small, resource-limited devices like sensors, wearables, and IoT gateways. It supports many hardware types such as ARM, Intel x86, and RISC-V, making it flexible for different projects. Zephyr is modular, so you can include only what you need, saving memory and power. It focuses on security with features like memory protection and secure boot. It also offers built-in networking and tools for easy development and testing. This helps you build reliable, fast, and secure embedded systems efficiently, especially for IoT and real-time applications[1][2][3].
https://github.com/zephyrproject-rtos/zephyr
Zephyr is a free, open-source real-time operating system (RTOS) designed for small, resource-limited devices like sensors, wearables, and IoT gateways. It supports many hardware types such as ARM, Intel x86, and RISC-V, making it flexible for different projects. Zephyr is modular, so you can include only what you need, saving memory and power. It focuses on security with features like memory protection and secure boot. It also offers built-in networking and tools for easy development and testing. This helps you build reliable, fast, and secure embedded systems efficiently, especially for IoT and real-time applications[1][2][3].
https://github.com/zephyrproject-rtos/zephyr
GitHub
GitHub - zephyrproject-rtos/zephyr: Primary Git Repository for the Zephyr Project. Zephyr is a new generation, scalable, optimized…
Primary Git Repository for the Zephyr Project. Zephyr is a new generation, scalable, optimized, secure RTOS for multiple hardware architectures. - zephyrproject-rtos/zephyr
#ocaml #c #go #java #javascript #python #r2c #ruby #sast #semgrep #static_analysis #static_code_analysis #typescript
Semgrep is a fast, open-source tool that scans your code to find bugs and security issues in over 30 programming languages. It works locally on your computer or in your build system, so your code stays private. Semgrep’s rules are easy to write and understand, helping you catch problems early in development, whether in your IDE, pre-commit checks, or CI/CD pipelines. For stronger security, the Semgrep AppSec Platform offers advanced analysis, AI-powered triage, and detailed fix guidance, reducing false alarms and helping developers fix issues quickly without slowing down. This improves code quality and security efficiently.
https://github.com/semgrep/semgrep
Semgrep is a fast, open-source tool that scans your code to find bugs and security issues in over 30 programming languages. It works locally on your computer or in your build system, so your code stays private. Semgrep’s rules are easy to write and understand, helping you catch problems early in development, whether in your IDE, pre-commit checks, or CI/CD pipelines. For stronger security, the Semgrep AppSec Platform offers advanced analysis, AI-powered triage, and detailed fix guidance, reducing false alarms and helping developers fix issues quickly without slowing down. This improves code quality and security efficiently.
https://github.com/semgrep/semgrep
GitHub
GitHub - semgrep/semgrep: Lightweight static analysis for many languages. Find bug variants with patterns that look like source…
Lightweight static analysis for many languages. Find bug variants with patterns that look like source code. - semgrep/semgrep
#c_lang
You can find detailed guides for Linux kernel developers and users in the Documentation/ folder, which includes files in formats like HTML and PDF. To build these documents yourself, use commands like `make htmldocs` or `make pdfdocs`. The documentation covers important topics such as kernel building, running requirements, and upgrade issues. You can also view the latest formatted docs online. Additionally, the kernel source uses a special comment style called kernel-doc to embed documentation directly in the code, making it easier to understand functions and structures. This helps you learn, build, and maintain the Linux kernel more effectively.
https://github.com/raspberrypi/linux
You can find detailed guides for Linux kernel developers and users in the Documentation/ folder, which includes files in formats like HTML and PDF. To build these documents yourself, use commands like `make htmldocs` or `make pdfdocs`. The documentation covers important topics such as kernel building, running requirements, and upgrade issues. You can also view the latest formatted docs online. Additionally, the kernel source uses a special comment style called kernel-doc to embed documentation directly in the code, making it easier to understand functions and structures. This helps you learn, build, and maintain the Linux kernel more effectively.
https://github.com/raspberrypi/linux
GitHub
GitHub - raspberrypi/linux: Kernel source tree for Raspberry Pi-provided kernel builds. Issues unrelated to the linux kernel should…
Kernel source tree for Raspberry Pi-provided kernel builds. Issues unrelated to the linux kernel should be posted on the community forum at https://forums.raspberrypi.com/ - raspberrypi/linux
#c_lang
You can build C projects using only a C compiler without needing tools like make or cmake by using the "nob" library, which lets you write build instructions in C itself. This makes your build process very portable across many systems (Linux, Windows, MacOS, etc.) because it depends only on the C compiler, which is widely available. It also lets you reuse code between your project and build system since both use C. However, it requires comfort with C programming and is mainly useful for simpler C/C++ projects, not complex ones with many dependencies. You just include the single header file "nob.h" to start using it. This approach simplifies building and increases control if you prefer coding your build steps in C directly.
https://github.com/tsoding/nob.h
You can build C projects using only a C compiler without needing tools like make or cmake by using the "nob" library, which lets you write build instructions in C itself. This makes your build process very portable across many systems (Linux, Windows, MacOS, etc.) because it depends only on the C compiler, which is widely available. It also lets you reuse code between your project and build system since both use C. However, it requires comfort with C programming and is mainly useful for simpler C/C++ projects, not complex ones with many dependencies. You just include the single header file "nob.h" to start using it. This approach simplifies building and increases control if you prefer coding your build steps in C directly.
https://github.com/tsoding/nob.h
GitHub
GitHub - tsoding/nob.h: Header only library for writing build recipes in C.
Header only library for writing build recipes in C. - GitHub - tsoding/nob.h: Header only library for writing build recipes in C.
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#c_lang
The CDP System Software Release 8, updated in October 2023, is free and open-source software for creative sound design, offering about 80 new sound-processing programs including multichannel support, waveset distortion, and speech/voice tools. It supports the PVOCEX (.pvx) analysis file format used in Csound, enhancing compatibility and playback options. The system runs on Mac, Windows, and Linux, and includes updated graphical interfaces and scripting capabilities for advanced sound manipulation. This release benefits you by providing powerful, flexible tools to transform and create unique sounds, with ongoing development opportunities if you want to contribute or customize the software.
https://github.com/ComposersDesktop/CDP8
The CDP System Software Release 8, updated in October 2023, is free and open-source software for creative sound design, offering about 80 new sound-processing programs including multichannel support, waveset distortion, and speech/voice tools. It supports the PVOCEX (.pvx) analysis file format used in Csound, enhancing compatibility and playback options. The system runs on Mac, Windows, and Linux, and includes updated graphical interfaces and scripting capabilities for advanced sound manipulation. This release benefits you by providing powerful, flexible tools to transform and create unique sounds, with ongoing development opportunities if you want to contribute or customize the software.
https://github.com/ComposersDesktop/CDP8
GitHub
GitHub - ComposersDesktop/CDP8: New version of CDP software
New version of CDP software. Contribute to ComposersDesktop/CDP8 development by creating an account on GitHub.
#c_lang #infiniband #iwarp #kernel_rdma_drivers #linux_kernel #rdma #roce #userspace_libraries
You can use RDMA Core, a set of Linux userspace libraries and daemons, to work with RDMA devices for high-speed network communication. It supports many kernel drivers and provides tools and libraries like libibverbs and librdmacm to manage RDMA devices and connections. You can build it easily with cmake and install required packages depending on your Linux distribution. Using RDMA Core lets you set up software RDMA interfaces and verify them with commands like `ibv_devices` or `rdma link`. This helps you achieve faster, low-latency data transfer, which is useful for high-performance computing and networking tasks.
https://github.com/linux-rdma/rdma-core
You can use RDMA Core, a set of Linux userspace libraries and daemons, to work with RDMA devices for high-speed network communication. It supports many kernel drivers and provides tools and libraries like libibverbs and librdmacm to manage RDMA devices and connections. You can build it easily with cmake and install required packages depending on your Linux distribution. Using RDMA Core lets you set up software RDMA interfaces and verify them with commands like `ibv_devices` or `rdma link`. This helps you achieve faster, low-latency data transfer, which is useful for high-performance computing and networking tasks.
https://github.com/linux-rdma/rdma-core
GitHub
GitHub - linux-rdma/rdma-core: RDMA core userspace libraries and daemons
RDMA core userspace libraries and daemons. Contribute to linux-rdma/rdma-core development by creating an account on GitHub.
#c_lang
You can find detailed guides for Linux kernel developers and users in the Documentation/ folder, with files in formats like HTML and PDF. To build these documents yourself, use commands like `make htmldocs` or `make pdfdocs`. The documentation covers important topics such as kernel building, running requirements, and upgrade issues. Reading these helps you understand how to work with the Linux kernel safely and effectively, avoiding common problems when upgrading or modifying it. This makes managing and developing the kernel easier and more reliable for you.
https://github.com/torvalds/linux
You can find detailed guides for Linux kernel developers and users in the Documentation/ folder, with files in formats like HTML and PDF. To build these documents yourself, use commands like `make htmldocs` or `make pdfdocs`. The documentation covers important topics such as kernel building, running requirements, and upgrade issues. Reading these helps you understand how to work with the Linux kernel safely and effectively, avoiding common problems when upgrading or modifying it. This makes managing and developing the kernel easier and more reliable for you.
https://github.com/torvalds/linux
GitHub
GitHub - torvalds/linux: Linux kernel source tree
Linux kernel source tree. Contribute to torvalds/linux development by creating an account on GitHub.
#cplusplus #c_plus_plus #cpp #datachannel #libdatachannel #libnice #p2p #peer_to_peer #peerconnection #rfc_8831 #rfc_8834 #rtcdatachannel #rtcpeerconnection #sctp #webrtc #webrtc_datachannel #webrtc_video #websocket
libdatachannel is a lightweight, easy-to-use C/C++ library that lets you add real-time peer-to-peer data, media, and WebSocket communication to your apps across many platforms like Linux, Windows, macOS, Android, and iOS. It simplifies WebRTC by providing a smaller, simpler alternative to Google's library, with compatibility for browsers like Firefox and Chrome. You can use it to connect native apps directly to web browsers with minimal dependencies, supporting secure connections via GnuTLS, Mbed TLS, or OpenSSL. It also supports compiling to WebAssembly for browser use, making it flexible for cross-platform real-time communication development[1][4]. This helps you build fast, efficient apps for video, audio, or data sharing without heavy libraries.
https://github.com/paullouisageneau/libdatachannel
libdatachannel is a lightweight, easy-to-use C/C++ library that lets you add real-time peer-to-peer data, media, and WebSocket communication to your apps across many platforms like Linux, Windows, macOS, Android, and iOS. It simplifies WebRTC by providing a smaller, simpler alternative to Google's library, with compatibility for browsers like Firefox and Chrome. You can use it to connect native apps directly to web browsers with minimal dependencies, supporting secure connections via GnuTLS, Mbed TLS, or OpenSSL. It also supports compiling to WebAssembly for browser use, making it flexible for cross-platform real-time communication development[1][4]. This helps you build fast, efficient apps for video, audio, or data sharing without heavy libraries.
https://github.com/paullouisageneau/libdatachannel
GitHub
GitHub - paullouisageneau/libdatachannel: C/C++ WebRTC network library featuring Data Channels, Media Transport, and WebSockets
C/C++ WebRTC network library featuring Data Channels, Media Transport, and WebSockets - paullouisageneau/libdatachannel
#c_lang #bk7231 #bk7231n #bk7231t #bl602 #home_assistant #iot #ln882h #mqtt #smart_home #tasmota #tuya #w600 #w601 #w800 #w801 #wifi #xr809
OpenBeken is a free Tasmota-like firmware for Tuya devices with chips like BK7231T/N, BL602, W600, ESP32, and 20+ others, adding MQTT, Home Assistant auto-discovery, OTA updates, scripting, sensors, power metering, and RGB LED control. Download ready binaries, flash easily via GUI tools or UART, and use a 700+ device database with guides. You gain cloud-free smart home control, easy local setup without AP mode, lower power use, and full customization for reliable automation.
https://github.com/openshwprojects/OpenBK7231T_App
OpenBeken is a free Tasmota-like firmware for Tuya devices with chips like BK7231T/N, BL602, W600, ESP32, and 20+ others, adding MQTT, Home Assistant auto-discovery, OTA updates, scripting, sensors, power metering, and RGB LED control. Download ready binaries, flash easily via GUI tools or UART, and use a 700+ device database with guides. You gain cloud-free smart home control, easy local setup without AP mode, lower power use, and full customization for reliable automation.
https://github.com/openshwprojects/OpenBK7231T_App
GitHub
GitHub - openshwprojects/OpenBK7231T_App: Open source firmware (Tasmota/Esphome replacement) for BK7231T, BK7231N, BL2028N, T34…
Open source firmware (Tasmota/Esphome replacement) for BK7231T, BK7231N, BL2028N, T34, XR809, W800/W801, W600/W601, BL602, LN882H, Realtek chips and more - openshwprojects/OpenBK7231T_App
#c_lang
stackplz is an eBPF tool for Android (arm64, root, kernel 5.10+) that traces syscalls, uprobes in libraries, and hardware breakpoints, printing params, stacks, and registers with filters for PIDs/threads. Push binary to /data/local/tmp, chmod +x, run like
https://github.com/SeeFlowerX/stackplz
stackplz is an eBPF tool for Android (arm64, root, kernel 5.10+) that traces syscalls, uprobes in libraries, and hardware breakpoints, printing params, stacks, and registers with filters for PIDs/threads. Push binary to /data/local/tmp, chmod +x, run like
./stackplz -n app --syscall open -o log. It helps you debug apps, hook functions, dump memory on hits (e.g., --kill SIGSTOP), and analyze traces undetected, saving time on reverse engineering without attaching processes.https://github.com/SeeFlowerX/stackplz
GitHub
GitHub - SeeFlowerX/stackplz: 基于eBPF的堆栈追踪工具
基于eBPF的堆栈追踪工具. Contribute to SeeFlowerX/stackplz development by creating an account on GitHub.
#c_lang #driver #flash #jedec #jedec_sfdp #qspi #sfdp #sfdp_flash #spi_flash #universal_driver
**SFUD** is an open-source library that drives many SPI/QSPI Flash chips from brands like Winbond and Macronix. It auto-detects chip specs via the **SFDP** standard or a built-in table, letting you read, write, erase, and init with simple APIs after easy config. This helps you avoid risks from Flash shortages or upgrades, boosts software reuse across projects, cuts dev time, and enables tools like programmers—saving effort on varied hardware.
https://github.com/armink/SFUD
**SFUD** is an open-source library that drives many SPI/QSPI Flash chips from brands like Winbond and Macronix. It auto-detects chip specs via the **SFDP** standard or a built-in table, letting you read, write, erase, and init with simple APIs after easy config. This helps you avoid risks from Flash shortages or upgrades, boosts software reuse across projects, cuts dev time, and enables tools like programmers—saving effort on varied hardware.
https://github.com/armink/SFUD
GitHub
GitHub - armink/SFUD: An using JEDEC's SFDP standard serial (SPI) flash universal driver library | 一款使用 JEDEC SFDP 标准的串行 (SPI)…
An using JEDEC's SFDP standard serial (SPI) flash universal driver library | 一款使用 JEDEC SFDP 标准的串行 (SPI) Flash 通用驱动库 - armink/SFUD
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#csharp #algorithm #algorithmic_trading_engine #c_sharp #finance #forex #lean_engine #options #python #quantconnect #stock_indicators #trading #trading_algorithms #trading_bot #trading_platform #trading_strategies
LEAN is a free, open-source platform for building, backtesting, and live-trading algorithms across stocks, forex, crypto, options, and more. Install the CLI with `pip install lean` to easily create projects, run research in Jupyter, backtest strategies, optimize, or deploy live trades from your terminal using Docker. Its modular design lets you customize everything. This saves you time by streamlining development, avoiding biases, and enabling fast, realistic testing to profit from better trading strategies.
https://github.com/QuantConnect/Lean
LEAN is a free, open-source platform for building, backtesting, and live-trading algorithms across stocks, forex, crypto, options, and more. Install the CLI with `pip install lean` to easily create projects, run research in Jupyter, backtest strategies, optimize, or deploy live trades from your terminal using Docker. Its modular design lets you customize everything. This saves you time by streamlining development, avoiding biases, and enabling fast, realistic testing to profit from better trading strategies.
https://github.com/QuantConnect/Lean
GitHub
GitHub - QuantConnect/Lean: Lean Algorithmic Trading Engine by QuantConnect (Python, C#)
Lean Algorithmic Trading Engine by QuantConnect (Python, C#) - QuantConnect/Lean
#c_lang
Vanilla is an alpha-stage, open-source Wii U gamepad clone that lets you use devices like Steam Deck, Linux PCs, Nintendo Switch, Android phones, Windows, or Raspberry Pi as a replacement controller with touchscreen, needing 5GHz Wi-Fi (check compatibility). Download official builds from GitHub releases or distro packages; use keyboard mappings (e.g., Z=A, Enter=Plus) or controllers, with shortcuts like F5 for recording. It benefits you by fixing broken gamepads, enabling off-TV play, and preserving Wii U games cheaply without Nintendo hardware.
https://github.com/vanilla-wiiu/vanilla
Vanilla is an alpha-stage, open-source Wii U gamepad clone that lets you use devices like Steam Deck, Linux PCs, Nintendo Switch, Android phones, Windows, or Raspberry Pi as a replacement controller with touchscreen, needing 5GHz Wi-Fi (check compatibility). Download official builds from GitHub releases or distro packages; use keyboard mappings (e.g., Z=A, Enter=Plus) or controllers, with shortcuts like F5 for recording. It benefits you by fixing broken gamepads, enabling off-TV play, and preserving Wii U games cheaply without Nintendo hardware.
https://github.com/vanilla-wiiu/vanilla
GitHub
GitHub - vanilla-wiiu/vanilla
Contribute to vanilla-wiiu/vanilla development by creating an account on GitHub.
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