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Canonry vs OneGlanse

Learn how Canonry and OneGlanse differ in their key features, development activity, technology stack and community adoption, so you can decide which of these ai visibility tracking is best for you.

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Canonry

AI
Tracks how often AI tools like ChatGPT, Claude, and Perplexity mention or cite your brand, then fixes the gaps through AEO strategy and content work.
193stars+31(+19%)

Last 30 days

  • Last commit

    11 hours ago
  • Repository age

    8 months
  • Version

    v7.50.0
  • License

    MIT
  • Self-hosted

    Yes
  • Repository

    canonry/canonry
Screenshot of Canonry

OneGlanse

AI
Runs prompts through ChatGPT, Perplexity, Gemini, Claude, and Google AI Overview interfaces via browser automation, then analyzes captured responses and citations with a model endpoint you configure.
233stars+35(+18%)

Last 30 days

Screenshot of OneGlanse

Detailed Comparison

Both Canonry and OneGlanse have their unique strengths and serve similar purposes effectively. Consider your specific needs regarding popularity, growth, activity, technology, maturity, licensing and features when making your decision.

Comparable
Community & Popularity

Both tools have similar popularity levels, with Canonry having 193 stars and OneGlanse having 233 stars on GitHub. In terms of developer contributions, OneGlanse has 41 forks, indicating growing developer engagement.

Canonry wins
Growth Momentum

Canonry is growing faster, adding 31 stars in the last 30 days (+19%) against adding 35 stars for OneGlanse (+18%). Canonry is the smaller project of the two, so it is closing the gap rather than extending a lead.

Comparable
Development Activity

Both projects show recent activity, with Canonry last updated 11 hours ago and OneGlanse 22 days ago.

Comparable
Technology Stack

Both tools share common technology foundations, being built with JavaScript, CSS, Bash, Typescript, JSX. However, they differ in their additional technology choices: Canonry uses PHP while OneGlanse leverages Next.js.

Comparable
Project Maturity

Both projects started around the same time, with Canonry beginning 8 months ago and OneGlanse 1 year ago.

Comparable
Licensing

Both projects use the MIT license, providing identical terms for usage and distribution.

Comparable
Use Cases & Features

Both tools serve similar use cases in AI Visibility Tracking. However, they also have distinct specializations: Canonry also focuses on SEO Tools.

Comparable
Hosting & Deployment

Both Canonry and OneGlanse offer self-hosting capabilities, giving you full control over your data and infrastructure.