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SPECIFICTION
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gbajs3 vs LinguaCafe

gbajs3

github.com

LinguaCafe

github.com

Side by side

Figuregbajs3LinguaCafe
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WebYesYes
Windows—Yes
macOS—Yes
Linux—Yes
Self-hostedYesYes
Plans published11
Spec score · Game Boy Advance Emulators7.8 (#13)7.9 (#9)

Plans

gbajs3

  • FreeFree

gbajs3 pricing →

LinguaCafe

  • FreeFree

LinguaCafe pricing →

In their own words

gbajs3

gbajs3 is a free, browser-based Game Boy Advance emulator for modern browsers, with no plugins required. It offers interchangeable mGBA WebAssembly and pure JavaScript gbajs cores. Both cores support a realtime clock. Controls include remappable keyboard bindings and virtual controls for desktop and mobile, alongside mobile interface support and offline progressive web app support. Fast forward is included. Save states and cheat codes work with the mGBA core, while a surface-level assembly debugger is available with the gbajs core. The project also lists a Go server for logged-in users, an Nginx server for content, an admin interface and PostgreSQL support. Self-hosting uses an environment file and Docker Compose. The setup guide says the default admin password is admin and instructs changing it after login. The README marks debugger and server enhancements as unfinished, and GitHub lists no releases.

Visit github.com

LinguaCafe

LinguaCafe is a free, open-source web app for learning languages through reading and vocabulary review. It is self-hosted, so users can run it on their own machine or private web server and control their data. Reading material can come from plain text, text files, ebooks, YouTube subtitles, subtitle files, Jellyfin external subtitles, or webpages. Readers can look up words and phrases, save translations, mark items as known or ignored, and track vocabulary by learning level. Spaced-repetition reviews follow an approach similar to the Leitner system, and highlighted cards can be exported to Anki or other SRS software. DeepL translations are available for lookups when enabled. Text-to-speech uses browser SpeechSynthesis, with voices dependent on the browser. The project lists many supported languages and supports Progressive Web App installation on mobile devices; it works in browsers on screens at least 340 pixels wide. Setup uses Docker Compose. The project supports x64, with an additional step for Apple silicon, but other Armv8 devices such as Raspberry Pi 3 and newer do not currently work. One user per server is supported.

Visit github.com