joeseesun/qiaomu-seo is an open-source command-line tool for auditing, diagnosing, researching, planning, implementing, experimenting on, and verifying website SEO. It provides developers and SEO professionals with a programmatic approach to analyzing and improving search engine optimization factors directly from the terminal. The tool is designed to streamline the technical SEO workflow through automated checks and actionable insights.
What it is
joeseesun/qiaomu-seo is a Python-based application that operates as a command-line interface tool, enabling users to perform comprehensive SEO analysis on websites. It facilitates a full-cycle SEO process from initial audit and diagnosis through to research, planning, implementation, experimentation, and verification phases. The tool is particularly valuable for technical SEO tasks that benefit from automation and integration into development workflows.
The project is hosted on GitHub where it is actively maintained, with its most recent update pushed in August 2026. It can be installed using the provided npm command snippet, making it accessible to developers working in JavaScript/Node.js environments despite being implemented in Python. This cross-platform installation approach broadens its potential user base beyond traditional Python developers.
Key facts
| Attribute | Value |
|———–|——-|
| Developer | joeseesun |
| License | MIT |
| Type | Command-line tool |
| Language | Python |
| Availability | GitHub repository |
How it compares
joeseesun/qiaomu-seo occupies the space of open-source, developer-focused SEO tools alongside projects like Lighthouse CI and Screaming Frog SEO Spider. Unlike commercial SEO platforms that often provide graphical interfaces and hosted services, this tool emphasizes command-line operation and local execution, making it suitable for integration into automated development pipelines and continuous integration workflows. It differs from broader website analysis tools by specifically targeting the complete SEO lifecycle with capabilities for experimentation and verification.
FAQ
What programming language is joeseesun/qiaomu-seo written in?
The tool is implemented in Python, making it accessible to developers familiar with that language ecosystem. Despite being Python-based, it offers installation through an npm-compatible command, providing flexibility in how users incorporate it into their development environment.
How actively maintained is this SEO tool?
Based on GitHub activity, the project appears to be actively maintained with recent updates as of August 2026. The repository shows ongoing development with regular commits addressing issues and improvements, indicating current maintenance support.
What makes this tool different from other SEO analyzers?
joeseesun/qiaomu-seo distinguishes itself by covering the complete SEO lifecycle beyond just auditing, including capabilities for diagnosis, research, planning, implementation, experimentation, and verification. This comprehensive approach supports both initial analysis and ongoing SEO optimization processes in a single toolchain.