Search Results for "azure"
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Showing 89 open source projects for "azure"
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Azure Data Studio
A data management tool that enables working with other SQL tools
Azure Data Studio is a cross-platform database tool for data professionals who use on-premises and cloud data platforms on Windows, macOS, and Linux. Azure Data Studio offers a modern editor experience with IntelliSense, code snippets, source control integration, and an integrated terminal. It's engineered with the data platform user in mind, with the built-in charting of query result sets and customizable dashboards. -
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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 these features in one client library, you will know how to use them in other client libraries. ... -
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Azure SDK for Java
Active development of the Azure SDK for Java
...New wave of packages that follow the Azure SDK Design Guidelines for Java 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 these features in one client library, you will know how to use them in other client libraries. These libraries can be easily identified by folder, package, and namespaces names starting with azure-, e.g. azure-key vault. -
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Azure SDK for Python
Active development of the Azure SDK for Python
...A new set of management libraries that follow the Azure SDK Design Guidelines for Python are now available. -
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 JavaScript
This repository is for active development of the Azure SDK for JS
This repository is for the Azure SDK for JavaScript (Node.js & Browser). It contains libraries for the breadth of Azure services. Management libraries are packages that you would use to provision and manage Azure resources. Client libraries are packages that you would use to consume these resources and interact with them. The readme for each package contains code samples and package information. -
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Azure Quantum Development Kit
Azure Quantum Development Kit
Azure Quantum Development Kit, including the Q# programming language, resource estimator, and Quantum Katas. The playground is a small website that loads the Q# editor, compiler, samples, katas, and documentation for the standard library. It's a way to manually validate any changes you make to these components. The easiest way to develop in this repo is to use VS Code. -
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AutomatedLab
Framework that lets you deploy complex labs on HyperV and Azure
AutomatedLab is a provisioning solution and framework that lets you deploy complex labs on HyperV and Azure with simple PowerShell scripts. It supports all Windows operating systems from 2008 R2 to 2019, some Linux distributions and various products like AD, Exchange, PKI, IIS, etc. AutomatedLab (AL) enables you to setup test and lab environments on Hyper-v or Azure with multiple products or just a single VM in a very short time. There are only two requirements you need to make sure: You need the DVD ISO images and a Hyper-V host or an Azure subscription. ... -
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Microsoft Authentication Library .NET
Microsoft Authentication Library (MSAL) for .NET
MSAL.NET (Microsoft.Identity.Client) is an authentication library that enables you to acquire tokens from Azure AD, to access protected Web APIs (Microsoft APIs or applications registered with Azure Active Directory). MSAL.NET is available on several .NET platforms (Desktop, Universal Windows Platform, Xamarin Android, Xamarin iOS, Windows 8.1, and .NET Core). The MSAL library for .NET is part of the Microsoft identity platform for developers (formerly named Azure AD) v2.0. ... -
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Git Credential Manager
Secure, cross-platform Git credential storage with authentication
...It aims to provide a consistent and secure authentication experience, including multi-factor auth, to every major source control hosting service and platform. GCM supports (in alphabetical order) Azure DevOps, Azure DevOps Server (formerly Team Foundation Server), Bitbucket, GitHub, and GitLab. Compare to Git's built-in credential helpers (Windows: wincred, macOS: osxkeychain, Linux: gnome-keyring/libsecret), which provide single-factor authentication support for username/password only. GCM replaces both the .NET Framework-based Git Credential Manager for Windows and the Java-based Git Credential Manager for Mac and Linux. ... -
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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, monitoring, and scaling scenarios while focusing on modern DevOps workflows. -
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Bot Framework SDK for .NET
Welcome to the Bot Framework SDK for .NET repository
...This SDK enables developers to model conversation and build sophisticated bot applications using .NET. SDKs for JavaScript, Python and Java (preview) are also available. To get started building bots using the SDK, see the Azure Bot Service Documentation. -
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OpenCost
Cost monitoring for Kubernetes workloads and cloud costs
...Flexible, customizable cost allocation and cloud resource monitoring for accurate showback, chargeback, and ongoing reporting. Dynamic asset pricing, through integrations with AWS, Azure, and GCP billing APIs as well as support for on-prem Kubernetes clusters using custom pricing. Monitor costs outside the Kubernetes cluster from the cloud provider, resources like object storage, databases, and other managed services. -
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SFTPGo
Fully featured and highly configurable SFTP server with optional HTTP
Fully featured and highly configurable SFTP server with optional HTTP/S, FTP/S and WebDAV support. Several storage backends are supported: local filesystem, encrypted local filesystem, S3 (compatible) Object Storage, Google Cloud Storage, Azure Blob Storage, SFTP. SFTPGo is an Open Source project and you can of course use it for free but please don't ask for free support as well. Support for serving local filesystem, encrypted local filesystem, S3 Compatible Object Storage, Google Cloud Storage, Azure Blob Storage or other SFTP accounts over SFTP/SCP/FTP/WebDAV. Virtual folders are supported: a virtual folder can use any of the supported storage backends. ... -
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Bot Framework Web Chat
A highly-customizable web-based client for Azure Bot Services
...This repo is part of the Microsoft Bot Framework, a comprehensive framework for building enterprise-grade conversational AI experiences. Create a bot with the ability to speak, listen, understand, and learn from your users with Azure Cognitive Services. Benefit from open source SDK and tools to build, test, and connect bots that interact naturally with users, wherever they are. Build secure, global, scalable solutions that integrate with your existing IT ecosystem. Create an AI experience that can extend your brand and keep you in control of your own data. -
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Rules Engine
A Json based Rules Engine with extensive Dynamic expression support
...It provides a simple way of giving you the ability to put your rules in a store outside the core logic of the system, thus ensuring that any change in rules don't affect the core system. You need to store the rules based on the schema definition given and they can be stored in any store as deemed appropriate like Azure Blob Storage, Cosmos DB, Azure App Configuration, Entity Framework, SQL Servers, file systems, etc. For RuleExpressionType LamdaExpression, the rule is written as a lambda expression. Consuming Entity Framework and populating the Rules Engine is shown in the EFDemo class with Workflow rules populating the array and passed to the Rules Engine, The Demo App includes an example RulesEngineDemoContext. -
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Kubespray
Deploy a Production Ready Kubernetes Cluster
Can be deployed on AWS, GCE, Azure, OpenStack, vSphere, Equinix Metal (bare metal), Oracle Cloud Infrastructure (Experimental), or Baremetal. Highly available cluster. Composable (Choice of the network plugin for instance). Supports most popular Linux distributions. Continuous integration tests. The list of available docker versions is 18.09, 19.03, and 20.10. The recommended docker version is 20.10. -
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DVC
Data Version Control | Git for Data & Models
...It is designed to handle large files, data sets, machine learning models, and metrics as well as code. Version control machine learning models, data sets and intermediate files. DVC connects them with code and uses Amazon S3, Microsoft Azure Blob Storage, Google Drive, Google Cloud Storage, Aliyun OSS, SSH/SFTP, HDFS, HTTP, network-attached storage, or disc to store file contents. Version control machine learning models, data sets, and intermediate files. DVC connects them with code and uses Amazon S3, Microsoft Azure Blob Storage, Google Drive, Google Cloud Storage, Aliyun OSS, SSH/SFTP, HDFS, HTTP, network-attached storage, or disc to store file contents. ... -
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Pulumi
Developer-first infrastructure as code. Your cloud, your language
Pulumi's Infrastructure as Code SDK is the easiest way to create and deploy cloud software that use containers, serverless functions, hosted services, and infrastructure, on any cloud. Simply write code in your favorite language and Pulumi automatically provisions and manages your AWS, Azure, Google Cloud Platform, and/or Kubernetes resources, using an infrastructure-as-code approach. Skip the YAML, and use standard language features like loops, functions, classes, and package management that you already know and love. Pulumi is open source under the Apache 2.0 license, supports many languages and clouds, and is easy to extend. ... -
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Kubectl OpenAI plugin
Kubectl plugin for OpenAI GPT
This project is a kubectl plugin to generate and apply Kubernetes manifests using OpenAI GPT. -
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dotnet sdk
Core functionality needed to create .NET Core projects
...There are no fees or licensing costs, including for commercial use. .NET is open-source and cross-platform, with free development tools for Windows, Linux, and macOS. .NET is supported by Microsoft. Microsoft ships official releases that are built and tested on Microsoft-maintained servers in Azure and supported just like any Microsoft product. .NET is open source and we are very thankful for the many contributions it receives from the community. To test your locally built SDK, run eng\dogfood.cmd after building. That script starts a new Powershell with the environment configured to redirect SDK resolution to your build. -
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MetalLB
A network load-balancer implementation for Kubernetes
...Kubernetes does not offer an implementation of network load balancers (Services of type LoadBalancer) for bare-metal clusters. The implementations of network load balancers that Kubernetes does ship with are all glue code that calls out to various IaaS platforms (GCP, AWS, Azure…). If you’re not running on a supported IaaS platform (GCP, AWS, Azure…), LoadBalancers will remain in the “pending” state indefinitely when created. Bare-metal cluster operators are left with two lesser tools to bring user traffic into their clusters, “NodePort” and “externalIPs” services. Both of these options have significant downsides for production use, which makes bare-metal clusters second-class citizens in the Kubernetes ecosystem. ... -
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Foundatio
Pluggable foundation blocks for building distributed apps
Pluggable foundation blocks for building loosely coupled distributed apps. Includes implementations in Redis, Azure, AWS, RabbitMQ and in memory (for development). When building several big cloud applications we found a lack of great solutions (that's not to say there aren't solutions out there) for many key pieces to building scalable distributed applications while keeping the development experience simple. Wanted to build against abstract interfaces so that we could easily change implementations. ... -
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Infracost
Cloud cost estimates for Terraform in pull requests
...Infracost automatically creates detailed, shareable cost estimates which can be sent to clients and managers with different scenarios. Infracost supports over 230 Terraform resources across AWS, Azure and Google. Other IaC tools, such as Pulumi, AWS CloudFormation/CDK and Azure ARM/Bicep are on our roadmap. Infracost can also estimate usage-based resources such as AWS S3 or Lambda! Infracost has many CI/CD integrations so you can easily post cost estimates in pull requests. This provides your team with a safety net as people can discuss costs as part of the workflow. -
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GitHub Actions Runner Images
GitHub Actions runner images
This repository contains the source code used to create the VM images for GitHub-hosted runners used for Actions, as well as for Microsoft-hosted agents used for Azure Pipelines. To build a VM machine from this repo's source, see the instructions. -
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PAL MCP
The power of Claude Code / GeminiCLI / CodexCLI
PAL MCP is an open-source Model Context Protocol (MCP) server designed to act as a powerful middleware layer that connects AI clients and tools—like Claude Code, Codex CLI, Cursor, and IDE plugins—to a broad range of underlying AI models, enabling collaborative multi-model workflows rather than relying on a single model. It lets developers orchestrate interactions across multiple models (including Gemini, OpenAI, Grok, Azure, Ollama, OpenRouter, and custom/self-hosted models), preserving conversation context seamlessly as tasks evolve and substeps run across tools. By supporting conversation threading and context passing, pal-mcp-server helps maintain continuity during complex processes like code reviews, automated planning, implementation, and validation, allowing models to “debate” or weigh in on specific subtasks for better outcomes.
