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- The Microsoft community Windows Package Manager manifest repository
- Azure Data Studio is a data management and development tool with connectivity to popular cloud and on-premises databases. Azure Data Studio supports Windows, macOS, and Linux, with immediate capability to connect to Azure SQL and SQL Server. Browse the extension library for more database support options including MySQL, PostgreSQL, and MongoDB.
- Automatable GenAI Scripting
- 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. 🔗https://aka.ms/RD-Agent-Tech-Report
- VS Code extension for Azure API Management.
- This repo hosts the source for the DirectX Shader Compiler which is based on LLVM/Clang.
- LISA is developed and maintained by Microsoft, to empower Linux validation.
- This repository holds the source code of Microsoft.Testing.Platform (MTP), a lightweight alternative to VSTest, as well as MSTest adapter and framework.
- Contributor tools and guides for fluentui charting library
- Automated Azure Arc, Azure Local, IoT, and Kubernetes environments
- Garnet is a remote cache-store from Microsoft Research that offers strong performance (throughput and latency), scalability, storage, recovery, cluster sharding, key migration, and replication features. Garnet can work with existing Redis clients.
- Designed to help customers transition their SQL queries to new environments quickly and efficiently. This accelerator is particularly useful for organizations modernizing their data estates, as it simplifies the process of translating SQL queries from various dialects.
- VS Code Jupyter extension
- Locate Visual Studio 2017 and newer installations
- ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
- Azure Monitor for Containers
- Windows system utilities to maximize productivity