Open source SEO data and analytics platform
Open SEO offers an open source alternative to paid tools like Semrush and Ahrefs. This software, developed to analyze search engine optimization (SEO) data, aims to make processes transparent with its TypeScript-based infrastructure.
Updates
- November 7, 2026: Stars 26,550 → 26,659, latest release v0.1.26 (November 7, 2026).
- November 6, 2026: Stars 26,269 → 26,550, latest release v0.1.25 (November 6, 2026).
- November 4, 2026: Stars 25,796 → 26,269, latest release v0.1.24 (November 4, 2026).
- October 31, 2026: Stars 25,668 → 25,796, latest release v0.1.22 (October 31, 2026).
What you get
- Pay only for what you use, with no subscription fees
- Direct SEO data analysis with artificial intelligence agents
- Keyword tracking and technical site audit
Installation
npx skills add every-app/open-seo --skill '*'docker compose pull
docker compose up -dIf you don't write code
Conduct detailed keyword research for my website using OpenSEO capabilities and analyze my current ranking data to provide improvement suggestions.
Repository: https://github.com/every-app/open-seo. Follow the official instructions in the README of this repository for setup and execution.
Before starting, check which OS we are on and if the necessary tools (e.g., Python, Node.js, Git, Docker) are installed. Install any missing ones step-by-step according to this system.
Create a new, empty folder to work in. Do not touch any files outside this folder and do not delete anything. Tell me what you are going to do in one sentence before running each command.
Tell me what I should see on the screen at the end of each step. If an error occurs, I will paste the error message to you exactly as it is, and we will fix it together.
Related dictionary terms
Links
TreScout did not build this tool · we found it in GitHub trends and wrote it up. This page describes the repository as of 2026-06-26: The star count and our text belong to that day, the repository may have changed since. Check the repository link for the current state. The introductory text was prepared with AI from the repository's own documentation, and this page was machine-translated from the Turkish original · the Turkish version prevails.