DDNS is a dynamic DNS client that automatically synchronizes DNS records to the current IPv4 or IPv6 address of a machine.
The tool solves the problem of maintaining DNS records for devices with changing IP addresses, which is common for home servers, NAS devices, and edge deployments. It works by periodically detecting the current IP address from various sources—including local network interfaces, public IP services, custom URLs, or shell commands—and updating DNS records at the configured provider. The approach requires no external runtime dependencies beyond Python's standard library, making it lightweight and portable across platforms.
The tool suits users who need to keep DNS records synchronized with dynamic IPs and want to avoid third-party services or complex infrastructure. It works well for self-hosted setups, NAS devices, and servers where you control the DNS provider. The project supports over fifteen DNS providers spanning both domestic Chinese services and international options like Cloudflare, along with custom webhook callbacks. It offers four deployment methods: Docker containers, standalone binaries, pip installation, or direct source execution, allowing users to choose based on their environment. The tool handles multiple domains, multiple providers, and multiple configuration files simultaneously, with features like local caching to reduce unnecessary API calls, TTL and routing policy configuration where supported, and built-in web console scheduling.
The project maintains active development with regular updates addressing both new DNS provider integrations and operational improvements. The codebase shows consistent attention to cross-platform compatibility and deployment flexibility, evidenced by support for multiple installation methods and scheduling systems. Documentation includes a browser-based configuration tool for generating and validating settings, reducing setup friction. The project demonstrates responsiveness to user needs through its extensive provider support and configuration options for different network scenarios.