# dotnet/iot

> This repo includes .NET Core implementations for various IoT boards, chips, displays and PCBs.

## Fast Facts & Telemetry
- **Canonical URL**: https://githubrepo.cloud/repo/dotnet/iot
- **GitHub Source**: https://github.com/dotnet/iot
- **Global Rank**: #3,862 on GitHubRepo
- **Stars**: 2,416
- **Forks**: 630
- **Open Issues**: 90
- **Primary Language**: C#
- **Software License**: MIT
- **Last Commit / Push**: Oct 18, 2026

## Project Overview
iot is an open-source project written in C#: This repo includes .NET Core implementations for various IoT boards, chips, displays and PCBs.

Engineered for speed, consistency, and developer ease, it solves common hurdles in C#. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.

## Key Features
- Optimized execution pipeline written in C# for predictable speed.
- Zero-friction configuration with comprehensive sensible defaults out of the box.
- Cross-platform runtime support across Linux, macOS, and Windows environments.
- Strong typing and modular architecture designed for easy extension and maintainability.
- Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
- Active community maintenance with regular dependency updates and security patches.

## Installation & Quick Start
### Linux
```bash
git clone https://github.com/dotnet/iot.git
cd iot
```

### macOS
```bash
git clone https://github.com/dotnet/iot.git
cd iot
```

### Windows
```bash
git clone https://github.com/dotnet/iot.git
cd iot
```

## System Requirements & Architecture
- **Supported Platforms**: macOS, Linux, Windows
- **Runtime Dependencies**: C# environment and standard tooling
- **Architecture**: x86_64, ARM64 (Apple Silicon & Graviton)

## How It Works
iot coordinates its core functionality through a modular C# pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.

## Production Use Cases
### Production System Integration
Embed iot into C# backend services to handle core application logic.

### CI/CD Automated Pipelines
Run automated validation, builds, and integration suites during deployments.

### Developer Tooling & Workflows
Accelerate developer onboarding with pre-configured project utilities.

### Open Source Extension
Fork and customize internal modules under the repository's open MIT license.

## Target Audience
Developers and engineering teams building with C#, seeking reliable, tested, and actively maintained tooling for production workloads.

## Strengths
- Active community backing with 2,415 GitHub stars and verified adoption.
- Permissive open-source distribution under the MIT license.
- Built in C# for high execution speed and developer familiarity.
- Cross-platform compatibility across modern Linux, macOS, and Windows environments.
- Clean modular design allowing flexible configuration and pipeline integration.

## Considerations
- Requires familiarity with C# and modern CLI workflows.
- Ecosystem extensions may require manual configuration depending on environment constraints.
- Active development roadmap means breaking API changes may occur across major versions.

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