Search Results for "low level" - Page 5
Sort By:
Showing 783 open source projects for "low level"
View related business solutions-
$300 Free Credits to Build on Google CloudPut your $300 in credit toward real workloads, then keep building with free monthly usage for 20+ products. No commitment and no charge until you upgrade.
-
Ship Agents FasterGemini Enterprise Agent Platform lets you rapidly build, scale, govern and optimize production-ready agents grounded in your organization's data. The platform enables developers to build custom or pre-built agents for virtually any use case. New customers get $300 in free credits.
-
1
SkyEmu
Game Boy Advance, Game Boy, Game Boy Color, and DS Emulator
SkyEmu is a modern, multi-system handheld emulator that supports Game Boy, Game Boy Color, Game Boy Advance, and experimental Nintendo DS emulation, with a strong focus on balancing accuracy, performance, and usability. It is designed as a low-level emulator that accurately reproduces hardware behavior while still offering a smooth and accessible user experience across a wide range of platforms. The emulator is highly portable, supporting desktop operating systems, mobile devices, and even web browsers through WebAssembly builds. SkyEmu includes advanced visual enhancements such as upscaling shaders, color correction, and screen effects that mimic original hardware displays. ... -
2
hls4ml
Machine learning on FPGAs using HLS
hls4ml is an open-source framework that enables machine learning models to be implemented directly on hardware such as FPGAs and ASICs using high-level synthesis techniques. The system converts trained neural network models from common machine learning frameworks into hardware description code suitable for ultra-low-latency inference. This approach allows machine learning algorithms to run directly on specialized hardware, making them suitable for applications that require extremely fast response times and minimal power consumption. ... -
3
Rainbond
A container platform that needs no Kubernetes learning
Rainbond is an open-source container platform that helps teams build, deploy, upgrade, operate, and deliver applications on Kubernetes without requiring deep Kubernetes expertise. It focuses more on application delivery than low-level cluster resource management. The platform brings source code, container images, templates, dependencies, access management, upgrades, and rollbacks into a standardized graphical workflow. Rainbond is built for complex enterprise delivery scenarios such as private deployment, offline delivery, internal-network environments, Xinchuang adaptation, ARM migration, and AI application privatization. ... -
4
Ferrum
Headless Chrome Ruby API
...The library communicates directly with Chrome through the DevTools Protocol, providing access to advanced browser functionality such as DOM manipulation, network inspection, and page automation. Because of this low-level access, Ferrum offers greater flexibility and performance compared to traditional WebDriver-based automation tools. It is commonly used for tasks such as web scraping, automated testing, crawling, and screenshot or PDF generation. -
Train ML Models With SQL You Already KnowBuild and deploy ML models using familiar SQL. Automate data prep with built-in Gemini. Query 1 TB and store 10 GB free monthly.
-
5
Cython
The most widely used Python to C compiler
...Write Python code that calls back and forth from and to C or C++ code natively at any point. Easily tune readable Python code into plain C performance by adding static type declarations, also in Python syntax. Use combined source code level debugging to find bugs in your Python, Cython, and C code. Interact efficiently with large data sets, e.g. using multi-dimensional NumPy arrays. Quickly build your applications within the large, mature, and widely used CPython ecosystem. Integrate natively with existing code and data from legacy, low-level or high-performance libraries and applications. ... -
6
quiche
Savoury implementation of the QUIC transport protocol and HTTP/3
Cloudflare quiche is an open-source Rust implementation of the QUIC transport protocol and HTTP/3 designed to give developers a performant, flexible foundation for building modern networked applications and services, especially where low latency and efficient multiplexed streams matter. It is a “sans-io” library, meaning it implements the core QUIC and HTTP/3 state machines and logic without assuming how input/output should be done, so applications remain responsible for socket handling,... -
7
crun
A fast and lightweight fully featured OCI runtime and C library
A fast and low-memory footprint OCI Container Runtime fully written in C. While most of the tools used in the Linux containers ecosystem are written in Go, I believe C is a better fit for a lower-level tool like container runtime. runc, the most used implementation of the OCI runtime specs written in Go, re-execs itself and uses a module written in C for setting up the environment before the container process starts. crun aims to be also usable as a library that can be easily included in programs without requiring an external process for managing OCI containers. -
8
netsniff-ng
A Swiss army knife for your daily Linux network plumbing
netsniff-ng is a free Linux networking toolkit, a Swiss army knife for your daily Linux network plumbing if you will. Its gain of performance is reached by zero-copy mechanisms, so that on packet reception and transmission the kernel does not need to copy packets from kernel space to user space and vice versa. Our toolkit can be used for network development and analysis, debugging, auditing, or network reconnaissance. -
9
PETSc.jl
Julia wrappers for the PETSc library
This package provides a low level interface for PETSc and allows combining julia features (such as automatic differentiation) with the PETSc infrastructure and nonlinear solvers. -
Build Securely on AWS with Proven FrameworksMoving to the cloud brings new challenges. How can you manage a larger attack surface while ensuring great network performance? Turn to Fortinet’s Tested Reference Architectures, blueprints for designing and securing cloud environments built by cybersecurity experts. Learn more and explore use cases in this white paper.
-
10
Phalcon
High performance, full-stack PHP framework delivered as a C extension
...Classes and functions provided by the extension are ready to use for any application. The code is compiled and isn't interpreted because it's already compiled to a specific platform and processor. Thanks to its low-level architecture and optimizations Phalcon provides the lowest overhead for MVC-based applications. Build single and multi-module applications with ease and pleasure. Using the file structure, scheme and patterns you already know. Phalcon is built upon a powerful yet easy to understand and use pattern called Dependency Injection. ... -
11
LWJGL
Java library that enables cross-platform access to popular native APIs
...This access is direct and high-performance, yet also wrapped in a type-safe and user-friendly layer, appropriate for the Java ecosystem. LWJGL is an enabling technology and provides low-level access. It is not a framework and does not provide higher-level utilities than what the native libraries expose. As such, novice programmers are encouraged to try one of the frameworks or game engines that make use of LWJGL, before working directly with the library. -
12
rustix
Safe Rust bindings to POSIX-ish APIs
...It uses Results for reporting errors, bitflags instead of bare integer flags, an Arg trait with optimizations to efficiently accept any Rust string type, and several other efficient conveniences. rustix is low-level and, and while the net API supports Windows Sockets 2 (Winsock), the rest of the APIs do not support Windows; for higher-level and more portable APIs built on this functionality, see the cap-std, memfd, timerfd, and io-streams crates. -
13
GLM.jl
Generalized linear models in Julia
...It is part of the JuliaStats ecosystem and is tightly integrated with StatsModels.jl for formula handling, and Distributions.jl for specifying error families. The package supports modeling through both formula-based (e.g. @formula) and matrix-based interfaces, allowing both high-level convenience and low-level control. Under the hood, GLM.jl separates the linear predictor and response objects, allowing flexible combinations of link functions, variance structures, and fitting methods. -
14
uvicorn
An ASGI web server, for Python
Uvicorn is an ASGI web server implementation for Python. Until recently Python has lacked a minimal low-level server/application interface for async frameworks. The ASGI specification fills this gap, and means we're now able to start building a common set of tooling usable across all async frameworks. Uvicorn currently supports HTTP/1.1 and WebSockets. -
15
ParallelStencil.jl
Package for writing high-level code for parallel stencil computations
ParallelStencil empowers domain scientists to write architecture-agnostic high-level code for parallel high-performance stencil computations on GPUs and CPUs. Performance similar to CUDA C / HIP can be achieved, which is typically a large improvement over the performance reached when using only CUDA.jl or AMDGPU.jl GPU Array programming. For example, a 2-D shallow ice solver presented at JuliaCon 2020 [1] achieved a nearly 20 times better performance than a corresponding GPU Array... -
16
Turbo
Turbo is a framework built for LuaJIT 2
Turbo.lua is a framework built for LuaJIT 2 to simplify the task of building fast and scalable network applications. It uses an event-driven, non-blocking, no-thread design to deliver excellent performance and minimal footprint to high-load applications while also providing excellent support for embedded uses. The toolkit can be used for HTTP REST APIs, traditional dynamic web pages through templating, open connections like WebSockets, or just as high-level building blocks for native speed... -
17
CUDA-QX
Accelerated libraries for quantum-classical computing built on CUDA-Q
...The libraries are intended to help researchers and developers leverage GPUs, CPUs, and quantum processing units together in a unified computational model. CUDA-QX focuses on key areas such as quantum error correction and hybrid solver algorithms, offering high-level APIs that simplify complex quantum workflows. By abstracting low-level details and providing ready-to-use components, it accelerates experimentation and development in quantum computing research. The project is part of NVIDIA’s broader effort to enable scalable quantum-classical computing systems through hardware-agnostic programming models. -
18
OpenChoreo
OpenChoreo is an open-source internal developer platform (IDP)
OpenChoreo is an open-source internal developer platform (IDP) that simplifies how organizations operate on Kubernetes by abstracting infrastructure complexity into higher-level, reusable constructs. It provides a unified control plane that sits on top of one or more Kubernetes clusters, enabling platform engineers to define and enforce standards while giving application developers self-service workflows for building, deploying, and managing cloud-native applications. Concepts such as Projects, Components, Environments, and Cells let teams define applications in business-aligned terms rather than low-level Kubernetes primitives, improving clarity and productivity across the software lifecycle. ... -
19
Firecracker
Secure and fast microVMs for serverless computing
Firecracker is an open-source virtualization technology developed by AWS for deploying secure micro-VMs (microVMs) that offer strong isolation with minimal overhead. Designed for serverless workloads (e.g., AWS Lambda, Fargate), it combines VM-level security with container-like performance and startup speed. -
20
Axon
Nx-powered Neural Networks
Nx-powered Neural Networks for Elixir. Axon consists of the following components. Functional API – A low-level API of numerical definitions (defn) of which all other APIs build on. Model Creation API – A high-level model creation API which manages model initialization and application. Optimization API – An API for creating and using first-order optimization techniques based on the Optax library. Training API – An API for quickly training models, inspired by PyTorch Ignite. ... -
21
Thorium
High-performance, privacy-focused browser built as a fork of Chromium
Thorium is a high-performance, privacy-focused web browser built as a fork of Chromium. It is designed to deliver significantly faster browsing speeds through aggressive compiler optimizations such as SSE4.2 and AVX. These low-level enhancements allow Thorium to outperform standard Chrome and Chromium builds in responsiveness and efficiency. The browser removes much of Google’s built-in bloat to create a leaner browsing experience. Thorium also includes additional privacy features that reduce tracking and unnecessary background activity. Bug fixes and compatibility patches improve stability across Linux and other supported platforms. ... -
22
Toolpad Core
Full stack components and low-code builder for dashboards and internal
Toolpad is a self‑hosted, open‑source, low‑code admin/dashboard builder and a collection of full-stack React components tailored for building internal tools and dashboards. Created by the team behind Material‑UI (MUI), it enables rapid development by combining drag‑and‑drop UI construction with tight backend integration. Toolpad Core provides the component library for Next.js/Vite projects, while the deprecated Toolpad Studio offered a visual builder interface. -
23
GuitarPedal
Linus learns analog circuits
GuitarPedal is an experimental repository exploring a digital guitar-effects signal chain implemented with lean, low-level code. The project demonstrates how to read audio input, process it through simple transformations, and write the result out in real time with minimal latency. It emphasizes straightforward, inspectable DSP so developers can follow the math and tweak parameters without a giant framework in the way. The codebase favors portability and simplicity, focusing on a handful of canonical effects rather than a sprawling plugin architecture. ... -
24
Ludwig AI
Low-code framework for building custom LLMs, neural networks
Declarative deep learning framework built for scale and efficiency. Ludwig is a low-code framework for building custom AI models like LLMs and other deep neural networks. Declarative YAML configuration file is all you need to train a state-of-the-art LLM on your data. Support for multi-task and multi-modality learning. Comprehensive config validation detects invalid parameter combinations and prevents runtime failures. Automatic batch size selection, distributed training (DDP, DeepSpeed),... -
25
APITable
APITable, an API-oriented low-code platform for building apps
APITable is an API-oriented and easy-to-use visual database that empowers everyone to create endless software solutions on one platform. The best open-source alternative to Airtable with a more beautiful UI and more functionality that will optimize your work and life to a magical level. Unlike other Low Code Software, Apitable is not a "Base/App" structure. You can link unlimited and infinite tables in one space. Thousands of users and 100k+ Data Rows with real-time collaboration available. One-click, auto-generated, and extremely user-friendly Form. Full-stack API access, from Data to Metadata. Have APITable forever free and code on it to suit your own needs. ...