Markitdown
Python tool for converting files and office documents to Markdown.
Professional software vendor delivering innovative solutions on the Softono platform. Specialized in both open-source and proprietary software development.
Python tool for converting files and office documents to Markdown.
Atlas Design System serves the Microsoft Learn design & engineering teams. We are a CSS-first design system that aspires to beautiful, accessible, themeable, reading-direction-agnostic components.
The Fluent UI token pipeline generates source code for Fluent UI libraries.
Fluent System Icons are a collection of familiar, friendly and modern icons from Microsoft.
A framework for building native Windows apps with React.
VSCode extension for React Native - supports debugging and editor integration
Microsoft Fluent UI Blazor components library. For use with ASP.NET Core Blazor applications
Integrate cutting-edge LLM technology quickly and easily into your apps
The absolute trainer to light up AI agents.
Research and development (R&D) is crucial for the enhancement of industrial productivity, especially in the AI era, where the core aspects of R&D are mainly focused on data and models. We are committed to automating these high-value generic R&D processes through R&D-Agent, which lets AI drive data-driven AI. 🔗
Build high-quality LLM apps - from prototyping, testing to production deployment and monitoring.
Windows Agent Arena (WAA) 🪟 is a scalable OS platform for testing and benchmarking of multi-modal AI agents.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
12 Weeks, 24 Lessons, AI for All!
Qlib is an AI-oriented Quant investment platform that aims to use AI tech to empower Quant Research, from exploring ideas to implementing productions. Qlib supports diverse ML modeling paradigms, including supervised learning, market dynamics modeling, and RL, and is now equipped with to automate R&D process.
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
Best Practices, code samples, and documentation for Computer Vision.
An open-source project for Windows developers to learn how to add AI with local models and APIs to Windows apps.
Research project. A Memory solution for users, teams, and applications.
The SQL AI Datathon Starter Repository is a guided learning platform designed to equip developers with skills for building AI-powered applications using Microsoft SQL. This comprehensive training program consists of four structured missions that progress from foundational concepts to full-stack application development. Participants will learn to create vector embeddings, implement semantic and hybrid search capabilities, deploy Data API Builder endpoints, and orchestrate Retrieval Augmented Generation agents using C or Python. The curriculum covers essential technologies such as SQL Server 2025 AI features, Azure SQL Database free tier resources, and intelligent application patterns. After mastering the four core missions, users are invited to submit an Open Hack project for evaluation by experts. Judging criteria include problem understanding, innovation, technical execution, and real-world impact. Successful completion and competition entry can qualify participants for awards including a ticket to SQLCon 20
Foundation Architecture for (M)LLMs
A Unified Semi-Supervised Learning Codebase (NeurIPS'22)
Microsoft AI for Good Lab — Biodiversity research hub. Open-source AI models, edge devices, and tools for biodiversity monitoring and conservation. Your source for MegaDetector, SPARROW, PytorchWildlife, Bioacoustics, and more.
MLOps using Azure ML Services and Azure DevOps
GenAIOps with Prompt Flow is a "GenAIOps template and guidance" to help you build LLM-infused apps using Prompt Flow. It offers a range of features including Centralized Code Hosting, Lifecycle Management, Variant and Hyperparameter Experimentation, A/B Deployment, reporting for all runs and experiments and so on.
Operationalize a video anomaly detection model with Azure ML
Support ML teams to accelerate their model deployment to production leveraging Azure
Providing tools and templates to facilitate modern MLOps practices
ML Ops Accelerator: Databricks & Azure Machine Learning Unification
A system for building labeling tools
Agents and skills for building Windows apps with WinUI 3 and the Windows App SDK
A set of tools to use in Microsoft Azure Form Recognizer and OCR services.
A highly-customizable web-based client for Azure Bot Services.
Supply Chain Integrity Transparency and Trust ledger application using Confidential Consortium Framework (CCF)
An simple and easy Url Shortener
An emulator for the Microsoft commercial marketplace SaaS Fulfillment APIs
Microsoft.Recognizers.Text provides recognition and resolution of numbers, units, date/time, etc. in multiple languages (ZH, EN, FR, ES, PT, DE, IT, TR, HI, NL. Partial support for JA, KO, AR, SV). Packages available at:
Source Code of NeurIPS21 and T-PAMI24 paper: Recognizing Vector Graphics without Rasterization
MSVBASE is a system that efficiently supports complex queries of both approximate similarity search and relational operators. It integrates high-dimensional vector indices into PostgreSQL, a relational database to facilitate complex approximate similarity queries.
Variables Import plugin for Figma
A community showcase of projects built with Azure Static Web Apps 🎉
Azure Static Web Apps extension for VS Code
AI-in-One Dashboard Power BI template for comprehensive AI usage analytics
10 Weeks, 20 Lessons, Data Science for All!
Responsible AI Toolbox is a suite of tools providing model and data exploration and assessment user interfaces and libraries that enable a better understanding of AI systems. These interfaces and libraries empower developers and stakeholders of AI systems to develop and monitor AI more responsibly, and take better data-driven actions.
Office 365 and Azure Active Directory plugins for Moodle
PowerShell module to export a local copy of an Entra (Azure AD) tenant configuration.
The IQ Series is a hands-on learning experience for Microsoft IQ: Microsoft's unified intelligence layer for the enterprise, spanning Foundry IQ, Work IQ, and Fabric IQ. The series includes video episodes, Jupyter notebooks, and Azure deployment templates.
react-native-test-app provides an app for all supported platforms as a package
Azure Functions extension for VS Code
FeatureFlightingManagement is a centralized feature flag management system built on Azure App Configuration. It enables controlled feature rollout through feature toggles, supporting A/B testing, canary releases, and ring-based deployment strategies. The service provides REST APIs for evaluating and managing feature flags with full CRUD operations, multi-tenancy support without additional infrastructure, and integration with Microsoft Graph for group-based flag evaluation. It also offers HTTP-based integration for custom workflows. Designed for enterprise applications, it allows teams to enable or disable features dynamically without full system deployments, making it suitable for staged rollouts and operational flexibility.
PowerShell module containing a Feature Flags implementation based on a local config file.
Power Platform Build Tools automates common build and deployment tasks for Power Platform. It enables synchronization of solution metadata between development environments and source control, generates build artifacts, deploys to downstream environments, and supports provisioning and de-provisioning of environments. The tools also perform static analysis checks on solutions using the PowerApps checker service. Each task wraps the existing Power Platform CLI, making it suitable for integrating Power Platform development into CI/CD pipelines and DevOps workflows.
Tools supporting continuous integration and deployment for NLU services.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
Microsoft Application Insights SDK for JavaScript
ApplicationInsights-dotnet
Aspire Samples is a collection of sample applications showcasing Aspire, a developer-first toolset for integrating frontends, APIs, containers, and databases. The repository provides ready-to-run examples demonstrating how Aspire orchestrates multi-language and multi-service application architectures. Samples cover full-stack JavaScript and TypeScript apps with React, Vue, and Angular frontends, polyglot full-stack projects combining C, JavaScript, Python, and Go, and backend integrations including Node.js, Go with Gin, Python with FastAPI and PostgreSQL, and Python OpenAI agents for AI workloads. Additional scenarios illustrate Azure Functions deployment, image processing with Azure Blob and Queues, RAG-based document Q&A with Qdrant and OpenAI, and event-driven architectures using RabbitMQ task queues. Each sample includes an AppHost configuration in C or TypeScript and supports local running or Docker Compose deployment. The collection serves as a practical reference for developers exploring Aspire's capab
Microsoft Application Insights SDK for Node.js
Application Insights for Java
Visual Studio Code Remote Development: Open any folder in WSL, in a Docker container, or on a remote machine using SSH and take advantage of VS Code's full feature set.
Terraform Azure DevOps provider
Transform any HTTP endpoint into an MCP server. Aggregate multiple MCP servers, manage configuration profiles, and serve them through a unified gateway with multi-tenant isolation.
Validate infrastructure as code (IaC) and DevOps repositories using Azure Pipelines.
Automated deployment of REDCap with Azure Blob storage as the storage back-end
FASTER is a Microsoft project that provides two high-performance artifacts for managing large application state in the cloud. FASTER Log is a concurrent persistent recoverable log, iterator, and random reader library in C that supports frequent low-latency commits, saturates disk bandwidth, and offers sync and async interfaces with disk error handling and checksums. FASTER KV is a concurrent key-value store and cache available in both C and C++, designed for point lookups and heavy updates. It supports data larger than memory by leveraging fast local or cloud external storage and provides consistent recovery through fast non-blocking checkpointing, allowing applications to trade off performance for commit latency. Both components deliver orders-of-magnitude higher performance than comparable solutions on standard workloads.
An optimized logging library for Python
Azure Monitor for Containers
Microsoft Application Insights SDK for Go
PostgreSQL in-database durable execution
Azure Cosmos DB extension for VS Code
Utility that converts an .etl file containing a Windows network packet capture into .pcapng format.
Microsoft Fabric Real-time Analytics flight streaming
Manage Java projects in Visual Studio Code.
Collaboration, alignment and engineering discipline into the agentic development workflow
A highly extensible software stack to empower everyone to build practical real-world live video analytics applications for object detection and counting with cutting edge machine learning algorithms.