Getting Started with pydoover

Welcome to pydoover, the official Python package for interacting with the Doover platform. This guide will help you get up and running quickly.

• Installation - Install pydoover and doover-cli
• Quick Start - Create your first application using the CLI wizard
• Swagger - Interactive API documentation for the Doover Control API
• Applications Overview - Build IoT applications with the pydoover Docker framework
• Doover CLI Overview - Create, deploy, and manage applications from the command line
• Configuration Overview - Define application settings with JSON Schema validation
• UI Components Overview - Build rich, interactive user interfaces for devices
• Cloud API Overview - Python interface for programmatic platform access
• Device Infrastructure Overview - Hardware abstraction through device bridges
• Utilities Overview - Utility functions for async, signal processing, and state management
• pydoover CLI Overview - Interact with running gRPC servers on devices

pydoover is a Python package that provides a comprehensive interface for building applications on the Doover platform. It enables developers to:

• Build and deploy applications that run on Doover devices
• Communicate with the Doover cloud and other devices
• Interact with hardware interfaces (digital/analog I/O, Modbus)
• Create user interfaces for device management
• Manage configuration and state through a tag-based system

The Doover ecosystem includes two complementary tools:

• pydoover - The Python library for building applications that run on Doover devices
• doover-cli - The command-line interface for creating, deploying, and managing applications

See the Doover CLI documentation for the developer workflow tools.

pydoover provides a robust Application base class that handles:

• Device agent communication for cloud connectivity
• Platform interface for hardware I/O operations
• Modbus interface for industrial protocol communication
• UI management for user interface elements
• Configuration management through schemas

Connect your applications to the Doover cloud for:

• Remote device monitoring and control
• Data logging and analytics
• Over-the-air updates and configuration

Access device hardware through simple APIs:

• Digital inputs and outputs
• Analog inputs and outputs
• Modbus register reading and writing

• Python 3.11 or higher is required to use pydoover
• An active Doover account and device

pydoover is currently at version 0.4.18.

• Doover Website
• Documentation
• Contact the Doover Team