86 مستودعات
Low-level programming focused on performance and hardware control.
Distinguishing note: Focuses on high-performance systems, distinct from general application development.
Explore 86 awesome GitHub repositories matching operating systems & systems programming · Systems Programming. Refine with filters or upvote what's useful.
Bevy is a cross-platform game engine and framework built in Rust, designed for creating interactive simulations and graphical applications. It utilizes a data-oriented entity-component-system architecture to manage game state, organizing data into contiguous memory blocks to facilitate high-performance processing and massive parallelization of entities. The engine distinguishes itself through a modular plugin architecture and a system-based task scheduler that automatically parallelizes logic by analyzing data access patterns. By employing reactive change detection and deferred command buffer
Implements resource-intensive software that requires fine-grained control over memory and hardware utilization.
This framework provides a functional architecture for building interactive command-line applications. It utilizes a reactive runtime engine that synchronizes application state, user input, and visual output through a central event-driven message loop. By employing a unidirectional data flow pattern, the framework separates the definition of application state from the logic that processes updates and the declarative rendering process that transforms state into terminal-ready output. The framework distinguishes itself through its approach to side-effect management and terminal environment adapt
Creating reactive software that processes system signals and hardware events to trigger state changes and interface updates automatically.
Zig is a general-purpose systems programming language designed for high-performance applications that require manual memory management and direct control over hardware resources. It prioritizes predictable execution by enforcing explicit control flow and requiring functions to accept explicit memory allocators, ensuring that all heap operations and logic paths remain visible to the developer. The language distinguishes itself through a powerful compile-time metaprogramming engine that allows for arbitrary code execution during the build process, enabling advanced reflection and the generation
Provides a systems programming language with manual memory management and explicit control over hardware resources.
Vim is a keyboard-driven text editor designed for the high-speed manipulation of source code and plain text files. It utilizes a modal interface that interprets keystrokes as either text insertion or complex navigation and editing commands. Built on a portable C core, the software maintains a consistent experience across diverse operating systems and terminal emulators through an abstraction layer that manages text in memory-mapped buffers. The editor functions as a highly modular platform that supports extensive customization through a built-in scripting engine and a plugin-based architectur
The primary logic is implemented in highly portable C code to ensure consistent performance and behavior across diverse operating systems and hardware.
This project is a comprehensive technical reference and programming cheatsheet for the Python language. It serves as a curated catalog of language features, syntax patterns, and standard library functions designed to help developers identify and apply correct coding patterns. The documentation covers a broad range of functional areas, including language fundamentals such as object-oriented structuring, functional logic, and list comprehensions. It also provides guidance on utilizing the standard library for data analysis, file management, networking, and concurrent execution. The reference e
Covers low-level programming for backend systems, including file system management and shell execution.
This project is a comprehensive technical knowledge base designed to support developers in mastering systems programming and preparing for technical assessments. It provides a structured collection of fundamental computer science concepts, mapping high-level language constructs to low-level hardware memory layouts, runtime object lifecycles, and system-level operations. The repository distinguishes itself through a hierarchical approach that bridges the gap between theoretical principles and practical implementation. It offers detailed guidance on C++ language mechanisms, standard library usa
Maps high-level language constructs to hardware memory layouts and low-level system operations.
V is a statically typed, compiled programming language designed for high-performance systems development. It prioritizes memory safety and execution speed by enforcing strict type checking and immutable defaults, while generating native machine code for multiple hardware architectures. The language is built around an integrated toolchain that includes a compiler, package manager, formatter, and testing utilities within a single executable, facilitating rapid development cycles. What distinguishes V is its focus on developer productivity and interoperability. It provides a direct interface for
Building resource-efficient applications that require direct hardware access and predictable execution speeds without the overhead of a garbage collector.
Carbon is an experimental, compiled systems programming language designed as a successor to C++. It focuses on providing a high-performance environment for modern software development while prioritizing memory safety and expressive generic programming. The language is built to support performance-critical engineering, allowing for precise control over memory layout and execution flow. A primary differentiator of the project is its bidirectional interoperability with existing C++ codebases. This allows developers to call functions and share data between languages without manual wrappers, facil
Functions as an experimental high-performance systems programming language successor to C++.
SerenityOS is a complete, self-hosted desktop operating system built from the kernel up. It features a monolithic kernel architecture that manages system services, hardware drivers, and networking within a single address space. The system provides a full computing environment, including a proprietary windowing system and a suite of native desktop applications, all while maintaining a POSIX-compliant interface for standard system programming. The project is distinguished by its integrated development workflow, which relies on a cross-compilation build pipeline to generate system images from ho
Develops software adhering to standard Unix-like interfaces for environment portability.
This project is a technical reference and educational guide focused on the internal architecture of the Linux kernel. It serves as a low-level systems programming resource and documentation for operating system internals, detailing the implementation of core mechanisms within the kernel source code. The materials provide a detailed study of the Linux kernel, tracing behavior through actual C source and assembly. It specifically covers the progression from the bootloader and decompression to the final kernel entry point, alongside the management of hardware interrupts and symmetric multiproces
Traces the detailed execution flow from bootloader decompression and mode transitions to the final kernel entry point.
NumPy is a foundational library for scientific computing in Python, providing a comprehensive framework for managing and manipulating large-scale numerical information. It centers on high-performance multidimensional array objects that serve as the primary data structure for complex mathematical operations and data analysis workflows. The library distinguishes itself through specialized mechanisms for handling multidimensional data, including advanced indexing, slicing, and broadcasting techniques that allow for efficient operations across arrays of varying shapes. It utilizes strided metadat
Provides a high-performance bridge between Python and compiled C/Fortran code for numerical processing.
This project is a native desktop application for Windows that functions as a mathematical calculation engine. It provides a graphical user interface for performing arithmetic and scientific operations, serving as an open-source reference implementation for standard system utilities. The application utilizes a declarative markup language to define its user interface, which is synchronized with the underlying data through an event-driven binding system. By employing a model-view-viewmodel pattern, the software separates presentation logic from business rules, while a native core handles mathema
Executes high-performance mathematical operations and state management within a compiled environment to ensure precision and speed.
This project is a structured Rust programming course and technical educational resource. It functions as an interactive coding tutorial and systems programming guide, providing a curriculum designed to teach the Rust language, its ecosystem, and advanced concepts like memory management and performance optimization. The resource is delivered as a markdown-based technical book and static website. It distinguishes itself through the integration of interactive coding tasks and executable code snippets, allowing learners to practice syntax and programming logic directly within the instructional co
Teaches low-level concepts including memory management and performance optimization in a systems programming context.
This project is an educational curriculum designed to teach the fundamentals of operating system development and low-level systems programming. It provides a structured sequence of lessons and code samples that guide users through building a functional kernel and bootloader from scratch, enabling a practical understanding of how software interacts directly with computer hardware. The repository distinguishes itself by focusing on the core mechanics of bare-metal execution. It covers the implementation of essential system components, including assembly-based bootloaders that transition process
Implements core system functionality using low-level languages like C and Assembly.
Zstandard is a lossless data compression library and archive format designed for high compression ratios and fast real-time processing. It functions as a real-time data compressor and multi-threaded compression engine capable of distributing workloads across multiple CPU cores to increase throughput. The system features a dictionary-based compressor that trains on sample data to improve the compression ratio and speed of small files. It also provides long distance pattern matching to identify repeated sequences across large files. The library covers a broad range of capabilities including st
Supports compiling source code into shared or static libraries using a build system to manage dependencies.
This project is a comprehensive educational resource and technical documentation suite for learning and developing deep learning models. It serves as an open-source textbook, implementation manual, and framework tutorial designed to guide users through the mathematical foundations and practical application of neural networks. The resource provides detailed instructional content on building various model architectures, including convolutional and recurrent neural networks. It includes a dedicated distributed training guide and a learning path that covers the fundamentals of tensors, automatic
Provides documentation on using Python-C interfaces to access high-performance backend components.
Crystal is a statically typed, compiled programming language designed for high performance and memory safety. It leverages an LLVM-based compiler to translate source code into optimized machine-executable binaries, while its type-inference-based static analysis enforces strict safety rules during the build process. The language distinguishes itself through a fiber-based concurrent runtime that manages lightweight execution units for asynchronous input and output without blocking the main process. It also features a powerful compile-time macro system that allows for the inspection and transfor
Enables development for embedded systems by disabling the standard library and providing direct hardware access.
This project is a cross-platform machine learning inference engine designed to execute pre-trained models across diverse operating systems and hardware environments. It functions as a standardized execution framework that manages the entire lifecycle of model inference, from loading and graph optimization to hardware-accelerated execution and generative sequence management. The runtime distinguishes itself through a highly modular architecture that decouples model logic from hardware-specific kernels. By utilizing an execution provider abstraction, it enables developers to offload computation
Enables the replacement of default library implementations with custom builds to support specific hardware execution providers.
Nim is a statically typed, compiled systems programming language designed for high performance and cross-platform development. It translates high-level source code into C, C++, or JavaScript, allowing developers to produce efficient native binaries or web-compatible scripts from a single codebase. The language emphasizes a clean, indentation-based syntax that simplifies code hierarchy while maintaining the power of a full-featured systems language. What distinguishes Nim is its robust metaprogramming framework, which allows developers to inspect, modify, and generate code structures during th
Produces dynamic or static shared libraries to allow integration with external host applications.
pybind11 is a header-only C++ binding library that exposes C++ functions and classes as Python modules. It serves as a language bridge, mapping native types, inheritance hierarchies, and lambda functions into compatible Python objects to enable high-performance native code execution. The library includes specialized integration for NumPy arrays, utilizing buffer protocols to bind native C++ data without copying memory. It provides a toolkit for mapping C++ standard library data structures and smart pointers into the Python environment while maintaining cross-language memory management. The p
Provides the low-level interface layer that maps Python calls to C++ native routines.