explaingit

testedmedia/seo-command-center

Analysis updated 2026-05-18

7PythonAudience · developerComplexity · 3/5LicenseSetup · moderate

TLDR

A self-hosted SEO dashboard for rank tracking, keyword research, and competitor audits that runs on pay-per-use API credits instead of a monthly subscription.

Mindmap

mindmap
  root((repo))
    What it does
      Rank tracking
      Keyword research
      Competitor gaps
      Site audits
    Tech stack
      Python
      SQLite
      Cloudflare Pages
    Use cases
      Track rankings cheaply
      Research keywords
      Audit backlinks
      Local map grids
    Audience
      Site owners
      Developers
    License
      MIT permissive

Code map

Detail Auto

An interactive map of this repo's files and how they connect — its source is parsed live in your browser. Click Visualize to build it.

filefunction / class

What do people build with it?

USE CASE 1

Track daily search rankings for your own sites without paying a monthly SEO subscription.

USE CASE 2

Research keyword ideas and competition levels using pay-per-use API credits.

USE CASE 3

Audit a competitor's backlinks, traffic estimates, and content gaps.

USE CASE 4

Monitor your local Google map-pack ranking across dozens of points around a city.

What is it built with?

PythonSQLiteCloudflare PagesDataForSEO API

How does it compare?

testedmedia/seo-command-centeralx-code/lingbot-video-1.3b-fp8andrewbergman/kuma-importer
Stars777
LanguagePythonPythonPython
Setup difficultymoderatemoderate
Complexity3/52/5
Audiencedeveloperdeveloperops devops

Figures from each repo's GitHub metadata at analysis time.

How do you get it running?

Difficulty · moderate Time to first run · 30min

Needs a DataForSEO account (pay-as-you-go) for live data, the demo mode works without one.

Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

In plain English

SEO Command Center is a self-hosted SEO platform built to replace expensive subscription tools like Semrush or Ahrefs. Instead of paying a monthly seat fee, you connect it to DataForSEO, a pay-per-use API that provides the same kind of search engine data those bigger platforms are built on. The README reports a real deployment tracking 570 keywords across 5 sites, updated daily, plus weekly local map grids and brand checks, costing about $3.55 a month in API fees. The dashboard has eight sections. Rankings shows daily search positions with history charts and exports to CSV. Research surfaces keyword ideas from seed terms or a competitor's domain, including search volume and competition data. Site Explorer gives an Ahrefs style breakdown of any domain: backlinks, referring domains, traffic estimates, and content gaps compared to your own site. Competitors shows who outranks you and for which keywords. AI Visibility checks whether your pages get cited in Google's AI Overview answers. Site Health is a free technical crawler that flags broken links, duplicate titles, and thin content. Link Gap finds sites linking to your competitors but not to you. Map Grid tracks your local map-pack ranking from dozens of points around a city, similar to tools like Local Falcon. Under the hood, each report is a single Python file with no external dependencies, using only the Python standard library, and everything is stored in one SQLite file so your full ranking history stays on your own machine. There is no framework and no traditional backend server. You can run it entirely locally to browse read-only reports, or optionally deploy a hosted version through free Cloudflare Pages, which adds a login-protected dashboard where you can refresh reports and add keywords straight from the browser. Setup needs Python 3.9 or newer and a DataForSEO account for the paid data pulls, Cloudflare and Google Search Console integration are both optional. The project builds in cost controls too, capping how many manual refreshes and research pulls can run per day so a shared dashboard cannot unexpectedly rack up a large bill. It's released under the MIT license.

Copy-paste prompts

Prompt 1
Help me run the quickstart demo for this SEO Command Center project locally.
Prompt 2
Walk me through setting up my DataForSEO account and connecting it to this tool.
Prompt 3
Explain how the Map Grid feature tracks local search rankings in this repo.
Prompt 4
Show me how to deploy the hosted dashboard version to Cloudflare Pages using worker.py.
Prompt 5
Help me understand the SQLite database schema this project uses to store ranking history.

Frequently asked questions

What is seo-command-center?

A self-hosted SEO dashboard for rank tracking, keyword research, and competitor audits that runs on pay-per-use API credits instead of a monthly subscription.

What language is seo-command-center written in?

Mainly Python. The stack also includes Python, SQLite, Cloudflare Pages.

What license does seo-command-center use?

Use freely for any purpose, including commercial use, as long as you keep the copyright notice.

How hard is seo-command-center to set up?

Setup difficulty is rated moderate, with roughly 30min to a first successful run.

Who is seo-command-center for?

Mainly developer.

Open on GitHub → Explain another repo

This repo across BitVibe Labs

Verify against the repo before relying on details.