Search Results for "project code for cloud computing" - Page 3
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Showing 133 open source projects for "project code for cloud computing"
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MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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Azure SDK for .NET
Active development of the Azure SDK for .NET
This repository is for active development of the Azure SDK for .NET. For consumers of the SDK we recommend visiting our public developer docs or our versioned developer docs. New wave of packages that we are announcing as GA and several that are currently releasing in preview. These libraries follow the Azure SDK Design Guidelines for .NET and share a number of core features such as HTTP retries, logging, transport protocols, authentication protocols, etc., so that once you learn how to use... -
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Appsmith
Low code project to build admin panels, internal tools, and dashboards
Low code project to build admin panels, internal tools, and dashboards. Integrates with 15+ databases and any API. Appsmith is an open-source platform to build, deploy, and maintain internal apps. You can build anything from simple CRUD apps, admin panels, dashboards to custom business apps and complicated multi-step workflows. Build your UI with our drag and drop UI builder. -
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Trivy
Find vulnerabilities, misconfigurations, secrets, SBOM in containers
Trivy is the most popular open source security scanner, reliable, fast, and easy to use. Use Trivy to find vulnerabilities & IaC misconfigurations, SBOM discovery, Cloud scanning, Kubernetes security risks,and more. Trivy is praised by professionals from organizations worldwide. Are you a Trivy fan as well? We’d love to hear from you! Trivy detects vulnerabilities from a wide array of operating systems and programming languages, across different versions, and vulnerability sources. Detect... -
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Particle Firmware for the Electron, P1
Device OS (Firmware) for particle devices
The Photon uses an ARM Cortex M3 CPU based microcontroller. All of the code is built around the GNU GCC toolchain offered and maintained by ARM. The build requires version 5.3.1 20160307 or newer of ARM GCC and will print an error message if the version is older than this. In order to turn your source code into binaries, you will need a tool called make. Windows users need to explicitly install make on their machines. Make sure you can use it from the terminal window. The entire Particle... -
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ElasticJob
Distributed scheduled job framework
ElasticJob is a distributed scheduling solution consisting of two separate projects, ElasticJob-Lite and ElasticJob-Cloud. ElasticJob-Lite is a lightweight, decentralized solution that provides distributed task sharding services. ElasticJob-Cloud uses Mesos to manage and isolate resources. It uses a unified job API for each project. Developers only need code one time and can deploy at will. Support job sharding and high availability in distributed system. ... -
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Azure SDK for Java
Active development of the Azure SDK for Java
This repository is for the active development of the Azure SDK for Java. For consumers of the SDK we recommend visiting our public developer docs or our versioned developer docs. To get started with a specific service library, see the README.md file located in the library's project folder. You can find service libraries in the /SDK directory. For a list of all the services, we support to access to our list of all existing libraries. New wave of packages that follow the Azure SDK Design... -
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ComputeSharp
.NET library to run C# code in parallel on the GPU through DX12
ComputeSharp is a .NET library to run C# code in parallel on the GPU through DX12 and dynamically generated HLSL compute shaders. The available APIs let you access GPU devices, allocate GPU buffers and textures, move data between them and the RAM, write compute shaders entirely in C# and have them run on the GPU. The goal of this project is to make GPU computing easy to use for all .NET developers! -
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AWS ParallelCluster Cookbook
The Chef cookbook used to build and bootstrap AWS ParallelCluster
AWS ParallelCluster is an AWS supported Open Source cluster management tool that makes it easy for you to deploy and manage High Performance Computing (HPC) clusters in the AWS cloud. Built on the Open Source CfnCluster project, AWS ParallelCluster enables you to quickly build an HPC compute environment in AWS. It automatically sets up the required compute resources and a shared filesystem and offers a variety of batch schedulers such as AWS Batch and Slurm. AWS ParallelCluster facilitates both quick start proof of concepts (POCs) and production deployments. ... -
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Spring Data MongoDB
Provide support to increase developer productivity in Java
The primary goal of the Spring Data project is to make it easier to build Spring-powered applications that use new data access technologies such as non-relational databases, map-reduce frameworks, and cloud-based data services. The Spring Data MongoDB project aims to provide a familiar and consistent Spring-based programming model for new datastores while retaining store-specific features and capabilities. The Spring Data MongoDB project provides integration with the MongoDB document... -
Host LLMs in Production With On-Demand GPUsDeploy your model, get an endpoint, pay only for compute time. No GPU provisioning or infrastructure management required.
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MooseStack
The developer framework for building analytical backends
MooseStack is an opinionated starter stack that assembles a modern web application foundation—project structure, build tooling, and deployment scripts—so teams can get from “blank repo” to a working product quickly. It provides a coherent layout for server and client code, standardizes environment configuration, and includes scripts to run the app locally with the same conventions you’ll use in staging or production. The stack favors convention over configuration: common decisions around linting, testing, and packaging are prewired so developers can focus on features rather than wiring. ... -
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AWS Toolkit for Azure DevOps
AWS Toolkit for Azure DevOps
The AWS Toolkit for Azure DevOps adds tasks to easily enable build and release pipelines in Azure DevOps (formerly VSTS) and Azure DevOps Server (previously known as Team Foundation Server (TFS)) to work with AWS services including Amazon S3, AWS Elastic Beanstalk, AWS CodeDeploy, AWS Lambda, AWS CloudFormation, Amazon Simple Queue Service and Amazon Simple Notification Service, and run commands using the AWS Tools for Windows PowerShell module and the AWS CLI. This is an open source project... -
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Kata Containers
Build a standard implementation of lightweight Virtual Machines (VMs)
Kata Containers is an open source container runtime, building lightweight virtual machines that seamlessly plug into the container ecosystem. Kata Containers is an open source community working to build a secure container runtime with lightweight virtual machines that feel and perform like containers, but provide stronger workload isolation using hardware virtualization technology as a second layer of defense. Since launching in December 2017, the community successfully merged the best parts... -
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AWS ParallelCluster Node
Python package installed on the Amazon EC2 instances
aws-parallelcluster-node is the python package installed on the Amazon EC2 instances launched as part of AWS ParallelCluster. AWS ParallelCluster is an AWS-supported Open Source cluster management tool that makes it easy for you to deploy and manage High-Performance Computing (HPC) clusters in the AWS cloud. Built on the Open Source CfnCluster project, AWS ParallelCluster enables you to quickly build an HPC compute environment in AWS. It automatically sets up the required compute resources and a shared filesystem and offers a variety of batch schedulers such as AWS Batch and Slurm. AWS ParallelCluster facilitates both quick start proof of concepts (POCs) and production deployments. ... -
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mslearn-tailspin-spacegame-web
Code used in Microsoft Learn modules to support Azure DevOps
The Tailspin Space Game Web project is a sample application created by Microsoft as part of its learning resources. It’s a web-based game application used in Microsoft Learn modules and documentation to demonstrate concepts such as Azure App Services, continuous integration and delivery (CI/CD) pipelines, and DevOps practices with GitHub Actions and Azure Pipelines. The project is intentionally lightweight and easy to deploy so learners can quickly experiment with cloud deployment, testing,... -
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webR
The statistical language R compiled to WebAssembly via Emscripten
webR is a project that compiles the R statistical programming language into WebAssembly, enabling it to run entirely within web browsers or JavaScript environments without requiring a server-side installation. By using Emscripten to adapt R’s C, C++, and Fortran codebase, webR creates a fully functional runtime that can execute R scripts directly in the browser. The project includes a web-based integrated development environment that uses tools like xterm.js and CodeMirror, allowing users to... -
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OpenJ9
A Java Virtual Machine for OpenJDK
A Java Virtual Machine for OpenJDK that's optimized for small footprint, fast start-up, and high throughput. Builds on Eclipse OMR and combines with the Extensions for OpenJDK for OpenJ9 repo. We're not sure which route you might have taken on your way here, but we're really pleased to see you! If you came directly from our website, you've probably already learned a lot about Eclipse OpenJ9 and how it fits into the OpenJDK ecosystem. Eclipse OpenJ9 is an independent implementation of a Java... -
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DNSControl
Synchronize your DNS to multiple providers from a simple DSL
...Use macros and variables for easier updates. Upload your zones to multiple DNS providers. We make it easy to contribute by using GitHub, you can make code changes with confidence thanks to extensive integration tests. The project is newbie-friendly so jump right in! Maintain your DNS data as a high-level DS, with macros, and variables for easier updates. -
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DreamFactory
DreamFactory API Management Platform
DreamFactory can run on private, public, or hybrid cloud infrastructure. DreamFactory is easy to deploy with Docker, Kubernetes, or directly from GitHub using our automated installers. Eliminate the biggest bottleneck in modern IT. Launch your project in weeks rather than months. DreamFactory instantly creates a secure, standardized, reusable, fully documented, and live REST API. Connect Salesforce to SQL Server, or your ERP to AWS S3. Transform and mask data along the way. Create reports,... -
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Ignite UI for jQuery
Ignite UI for jQuery by Infragistics
Ignite UI for jQuery™ helps you build powerful, high-performance web-based applications. Inside Ignite UI for jQuery you'll find user experience controls and components for creating engaging line-of-business web applications that target the browsers for both mobile & desktop environments. Ignite UI for jQuery is built on jQuery and jQuery UI and ties in seamlessly with the jQuery core model and conventions including all styling support via jQuery UI Theme Roller. Beyond jQuery Ignite UI for... -
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Bot Framework Emulator
Locally test and debug chat bots built with the Bot Framework SDK
Bot Framework Emulator is a desktop application that allows bot developers to test and debug bots, either locally or remotely. Using the Emulator, you can chat with your bot and inspect the messages that your bot sends and receives. The Emulator displays messages as they would appear in a web chat UI and logs JSON requests and responses as you exchange messages with your bot. Before you deploy your bot to the cloud, run it locally and test it using the Emulator. You can test your bot using... -
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newRPL
The classic RPL programming language reimplemented and reimagined.
This project reimplements from scratch the RPL language made popular by HP programmable calculators, in portable C/C++. The main goal is to release a complete computing environment for various targets. There's currently 4 active targets: the HP 50g, HP39gs and HP40gs calculators and a PC simulator (see the downloads section!). Other ports are planned for the future. -
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[OFFICIAL] tinyfiledialogs C C++ v3.21.5
inputbox password WIN OSX GTK QT Console VCPKG C# Lua R Fortran Pascal
one C/C++ file & header ==> 8 functions: - beep - tray notify popup - message & question - input & password - save file - open file(s) - select folder - color picker complements OpenGL Vulkan GLFW GLUT GLUI VTK SFML TGUI SDL Ogre Unity3d ION OpenCV CeGui MathGL GLM CPW GLOW Open3D ImGui MyGui GLT NGL STB Nuklear Fenster MicroUi & head-less programs NO INIT NO MAIN LOOP NO LINKING NO INCLUDE win (XP to 11) ASCII MBCS UTF-8 UTF-16 (wchar_t) - native dialogs osx/unix... -
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Orbi
Issue-to-release coding agent with independent PR review
Orbi takes a GitHub Issue from label to release. When an Issue is marked ai-ready, Orbi builds the change in a dedicated worktree and opens a pull request. A reviewer agent, separate from the one that wrote the code, compares the PR with the Issue's acceptance criteria and repairs it. Orbi then merges only that reviewed head and publishes a tagged GitHub release. It is installed from the GitHub repo, with the CLI on PyPI as orbi-cli and Docker images on GHCR and Docker Hub, and can also be used as the hosted Orbi Cloud. Project site: https://orbi.build/?... -
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Faast.js
Serverless batch computing made simple
Serverless batch computing made simple. Serverless function architectures are optimized for event-driven systems. Faast.js simplifies serverless batch applications by automating infrastructure, code packaging, invocation, and cleanup. Combine the power of scalable serverless functions with the ease-of-use and familiarity of ordinary async functions. Go from zero to a thousand cores in seconds. -
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CloudI is an open-source private cloud computing framework for efficient, secure, and internal data processing. CloudI provides scaling for previously unscalable source code with efficient fault-tolerant execution of ATS, C/C++, Erlang/Elixir, Go, Haskell, Java, JavaScript/node.js, OCaml, Perl, PHP, Python, Ruby, or Rust services. The bare essentials for efficient fault-tolerant processing on a cloud!
