screenshot-to-code vs Tabby

A side-by-side comparison of two self-hosted self-hosted ai options — licensing, setup difficulty, resource needs, and what each one replaces.

Not the right match-up?
Featurescreenshot-to-codeTabby
CategorySelf-Hosted AISelf-Hosted AI
LicenseMITApache-2.0
LanguagePythonRust
Setup difficultyEasyMedium
Min. RAM1,024 MB8,192 MB
Deploymentdocker, bare-metaldocker, binary, bare-metal
GitHub stars★ 73,884★ 33,822
First released20232023
ReplacesVercel v0GitHub Copilot

Why pick each one

Choose screenshot-to-code if…

  • Released under the MIT license
  • Easy to set up — beginner-friendly
  • First-class Docker support for quick deployment
  • Mature project with 73.9k GitHub stars
screenshot-to-code details

Choose Tabby if…

  • Released under the Apache-2.0 license
  • First-class Docker support for quick deployment
  • Mature project with 33.8k GitHub stars
  • Written in Rust
Tabby details

Frequently asked questions

Is screenshot-to-code or Tabby better?

screenshot-to-code is the stronger all-round pick: it has both the larger community and the simpler easy setup. Consider Tabby if its specific feature set fits your needs better.

Are screenshot-to-code and Tabby free and open-source?

Yes. screenshot-to-code is licensed under MIT and Tabby under Apache-2.0. Both can be self-hosted at no software cost.

Can I run screenshot-to-code and Tabby with Docker?

screenshot-to-code: yes. Tabby: yes.

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