Search Results for "engineering" - Page 6
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Showing 3689 open source projects for "engineering"
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Akamai Application Platform (for LKE)
App Platform for Linode Kubernetes Engine
apl-core is the open source heart of Akamai’s App Platform for Linode Kubernetes Engine, packaging a curated set of Kubernetes building blocks into a turnkey “platform engineering” layer. Instead of assembling ingress, certificates, GitOps, secrets, and observability by hand, you install a single Helm chart and get a consistent, production-oriented baseline on LKE or any conformant Kubernetes cluster. The project provides a guided path after installation, post-install setup, and hands-on labs, so teams can go from a fresh cluster to shipping services with guardrails in place. ... -
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JeecgBoot
Low-code enterprise web development platform
...Multi-tenancy, API scaffolding, and pluginable modules make it suitable for both monolith and microservice deployments. In practice, it shortens the path from schema to usable back-office systems, leaving custom logic and integrations as the primary engineering focus. -
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Chili3D
A browser-based 3D CAD application for online model design
...Chili3D includes a comprehensive set of modeling capabilities, such as parametric shape creation, boolean operations, extrusion, and surface manipulation, making it suitable for engineering, prototyping, and design workflows. It also features an intuitive interface with snapping, tracking, and hierarchical object management, which enhances precision and usability during complex modeling tasks. -
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Tegon
Tegon is an open-source, AI-first alternative to Jira, Linear
...Issue tracking tools serve as a task database, directing engineers on what to work on but not aiding in faster task completion. Existing tools don't effectively assist Engineering Managers in the real-time task, feature, or bug prioritization. -
Forever Free Full-Stack Observability | Grafana CloudBuilt on open standards like Prometheus and OpenTelemetry, Grafana Cloud includes Kubernetes Monitoring, Application Observability, Incident Response, plus the AI-powered Grafana Assistant. Get started with our generous free tier today.
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Simorgh
The BBC's Open Source Single Page Application
...Simorgh provides a fast and accessible web experience used by millions of people around the world each month (see list of websites using Simorgh). It is regularly maintained and well documented, and we welcome open-source contributors. Simorgh is primarily maintained by the BBC News Web Engineering teams. It delivers highly trusted news to readers all over the world, currently in (41 languages). We support a wide range of devices and care deeply about scale, performance, and accessibility. We work in agile, flexible teams, and have an exciting roadmap for future development. -
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Cucumber
Cucumber for Ruby
It’s simple. Whether open source or commercial, our collaboration tools will boost your engineering team's performance by employing Behavior-Driven Development (BDD). And with our world-class training, take it to places it’s never been. Cucumber is a tool for running automated tests written in plain language. Because they're written in plain language, they can be read by anyone on your team. Because they can be read by anyone, you can use them to help improve communication, collaboration and trust on your team. ... -
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Tidal
Pattern language
...Tidal is embedded in the Haskell language, although you don't have to learn Haskell to learn Tidal. You can learn Tidal through experimentation and play, most Tidal coders have little or no experience in software engineering. -
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Quint Code
Structured reasoning framework for Claude Code, Gemini, and Cursor
Quint Code is a structured reasoning and decision-support framework aimed at making AI-assisted software engineering and decision workflows more rigorous and auditable. It implements the First Principles Framework (FPF) to guide users and AI tools through hypothesis generation, logical verification, evidence gathering, and documented decision making, reducing reliance on ad hoc or “vibe” coding. Instead of accepting the first plausible answer generated by an AI assistant, Quint Code encourages generating multiple competing hypotheses, verifying them, and validating them against real evidence stored in a structured “knowledge base” within your project. ... -
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Recursive Language Models
General plug-and-play inference library for Recursive Language Models
RLM (short for Reinforcement Learning Models) is a modular framework that makes it easier to build, train, evaluate, and deploy reinforcement learning (RL) agents across a wide range of environments and tasks. It provides a consistent API that abstracts away many of the repetitive engineering patterns in RL research and application work, letting developers focus on modeling, experimentation, and fine-tuning rather than infrastructure plumbing. Within the framework, you can define custom agents, environments, policy networks, and reward structures while leveraging built-in dataset utilities, logging, and checkpointing for reproducible experiments. ... -
Custom VMs From 1 to 96 vCPUs With 99.95% UptimeLive migration and automatic failover keep workloads online through maintenance. One free e2-micro VM every month.
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webgl-plot
A high-Performance real-time 2D plotting library based on native WebGL
webgl-plot is a high-performance plotting library for real-time data visualization in the browser using WebGL. Unlike traditional canvas or SVG-based charting libraries, webgl-plot is optimized for streaming and dynamic updates, making it ideal for oscilloscope-style data, biomedical signals, or any application where data updates hundreds of times per second. Its minimal memory footprint and GPU acceleration ensure excellent performance even with tens of thousands of data points, and its... -
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JavaFamily
Java Interview + Java Study Guide
JavaFamily is a large educational repository that aggregates knowledge, tutorials, and resources related to Java development and backend engineering. It covers a wide range of topics including core Java, Spring framework, microservices, distributed systems, and performance optimization. The project is designed to help developers build a strong foundation while also exploring advanced concepts used in enterprise environments. It includes explanations, code samples, and curated resources that guide learners through different aspects of the Java ecosystem. ... -
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Courses (Anthropic)
Anthropic's educational courses
Anthropic’s courses repository is a growing collection of self-paced learning materials that teach practical AI skills using Claude and the Anthropic API. It’s organized as a sequence of hands-on courses—starting with API fundamentals and prompt engineering—so learners build capability step by step rather than in isolation. Each course mixes short readings with runnable notebooks and exercises, guiding you through concepts like model parameters, streaming, multimodal prompts, structured outputs, and evaluation. Assignments emphasize realistic tasks such as building small utilities, testing prompts against edge cases, and measuring quality so you learn to ship things that work. ... -
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Introduction to Programming Principles
Categorized overview of Programming Principles & Patterns
...Because it’s on GitHub, it can evolve as the community suggests new principles, clarifications, and real-world examples. The repository is especially useful for onboarding junior developers or creating internal engineering handbooks. It also serves as a companion to code-quality projects by giving the “why” behind refactoring and architectural choices. -
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CodeBehind Framework
CodeBehind is a modern back-end framework under ASP.NET Core.
CodeBehind is a modern back-end framework under ASP.NET Core. CodeBehind was developed by Elanat in 2023 and competes with Microsoft's default web frameworks (ASP.NET Core MVC and Razor Pages and Blazor). CodeBehind is an engineering masterpiece that simultaneously provides the possibility of development based on MVC, Model-View, Controller-View, only View, and Web-Forms. The type of structure and naming in CodeBehind is nostalgia and reminds me of former Microsoft Web-Forms. The aspx extension is the files of the view section in the CodeBehind framework and they support standard syntax (<%=Standard%>) and Razor syntax (@Razor). ... -
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The Swift Programming Language Chinese
The Swift Programming Language in Chinese
The Chinese version of Apple's official Swift tutorial "The Swift Programming Language" Swift is a fantastic way to write software, whether it’s for phones, desktops, servers, or anything else that runs code. It’s a safe, fast, and interactive programming language that combines the best in modern language thinking with wisdom from the wider Apple engineering culture and the diverse contributions from its open-source community. The compiler is optimized for performance and the language is optimized for development, without compromising on either. Swift is friendly to new programmers. It’s an industrial-quality programming language that’s as expressive and enjoyable as a scripting language. ... -
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EQUINOX PROJECT
Full ASP.NET Core 5 application with DDD, CQRS and event sourcing
...Full architecture with responsibility separation concerns, solid and clean code. Booking application with domain model pattern, CQRS and ES concepts. Maybe you don't need a lot of implementations that is included, try avoid the over-engineering. -
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Keychron Hardware Design
Industrial design files for Keychron keyboards and mice
The Keychron-Keyboards-Hardware-Design project is a source-available repository that provides production-grade industrial design files for a wide range of Keychron keyboards and mice. It includes over one hundred device models with detailed CAD assets, allowing users to explore real-world hardware engineering practices and understand how commercial peripherals are constructed. The repository contains multiple file formats such as STEP, DXF, DWG, and PDF, enabling compatibility with professional CAD software and fabrication workflows. It is designed both as an educational resource and as a foundation for creating compatible accessories, giving users the ability to measure, remix, and prototype hardware components. ... -
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GCP Config Connector
GCP Config Connector, a Kubernetes add-on for managing GCP resources
...Its central idea is that infrastructure objects such as Cloud Storage or Cloud Spanner resources can be described declaratively in manifests, after which Config Connector creates or updates the corresponding Google Cloud resources and continuously reconciles them to match the declared state. This makes the project highly valuable for teams practicing GitOps, platform engineering, or Kubernetes-centered operations, because it brings cloud resource management into the same control model used for application deployment. The repository also reflects an active emphasis on resource development and reconciliation reliability, including a newer direct development approach intended to provide a more Kubernetes-native authoring experience. -
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huihut interview
A summary of C/C++ technical interview basics
interview is a curated repository of technical interview questions, solutions, and explanations covering a wide range of topics in computer science and software engineering. It aims to help developers prepare for job interviews by providing sample problems in algorithms, data structures, system design, databases, and programming language intricacies, often with code snippets and discussion. The repo is designed so learners can practice real interview scenarios, compare approaches, and internalize foundational concepts that are frequently tested by tech companies. ... -
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repren
Rename anything
...It handles recursive directory walks, lets you filter which files to touch, and supports multiple patterns in a single run to keep transformations consistent. Because it’s script-friendly, it slots well into project maintenance, codebase migrations, or release engineering tasks. The goal is to give you a reliable, repeatable alternative to ad-hoc shell loops when large-scale text and filename changes are needed. -
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Android Interview Questions
Your Cheat Sheet For Android Interview
...The content favors concise, practical answers that interviewers expect, helping candidates rehearse concepts and trade-offs rather than memorize trivia. It’s equally useful for brushing up before an interview and for leveling up day-to-day Android engineering knowledge. -
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Node.js Best Practices
The Node.js best practices list (July 2024)
...It is designed for real-world constraints: production deployment, observability, CI/CD, containerization, and cross-functional collaboration. Because it’s continuously updated, the guide helps keep engineering standards aligned with evolving Node versions and tooling, turning tribal knowledge into a shared, documented baseline for teams. -
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iOS Interview Questions
iOS interview questions
This repository collects a broad, categorized list of interview questions (with expected answers) that are commonly asked in iOS or Swift engineering interviews. Topics range from language fundamentals (memory management, ARC, value vs. reference types), to UIKit/SwiftUI, concurrency, Grand Central Dispatch, background execution, networking, design patterns, system frameworks, and architecture decisions. Each question is usually backed by sample explanations or code snippets, helping candidates understand not just what to answer but why it matters and how to reason about tradeoffs. ... -
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APIAuto
The most advanced tool for HTTP API
...Support GET, POST, PUT, PATCH, DELETE, HEAD and other HTTP Method and Content-Type, URL /{Path}/{Variable}. Tencent's internal users include IEG Interactive Entertainment Business Group, TEG Technology Engineering Business Group, CSIG Cloud and Smart Business Group, etc. -
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applied-ml
Papers & tech blogs by companies sharing their work on data science
The applied-ml repository is a rich, curated collection of papers, technical articles, and case-study blog posts about how machine learning (ML) and data-driven systems are applied in real production environments by major companies. Instead of focusing solely on theoretical ML research, this repo highlights industry-scale challenges: data collection, quality, infrastructure, feature stores, model serving, monitoring, scalability, and how ML is embedded in product workflows. It acts as a...
