Analysis updated 2026-05-18
Cram for an exam using digital flashcards that automatically resurface the ones you find hardest.
Import a ready-made JSON deck of study material to start reviewing immediately.
Keep a private study tool that never sends your data anywhere, since everything is stored in the browser.
| adcbueno/flashcards | abduznik/portfolio-dumper | codyschneiderx/seo-ai-search-dashboard | |
|---|---|---|---|
| Stars | 19 | 19 | 19 |
| Language | HTML | HTML | HTML |
| Setup difficulty | easy | easy | moderate |
| Complexity | 1/5 | 2/5 | 3/5 |
| Audience | general | developer | pm founder |
Figures from each repo's GitHub metadata at analysis time.
No installation needed, just open index.html in a browser.
FlashLearn is a simple, browser-based flashcard study app designed for exam preparation. It works like a digital version of paper flashcards: you create a deck, add question-and-answer cards, then flip through them and rate each one as Easy, Medium, or Hard. Cards you rate as Hard automatically float to the top of future sessions, so you spend more time on what you actually struggle with. The app requires no installation, no account, and no server. You just open a single HTML file in any modern browser and start studying. All your decks and progress are saved in your browser's local storage, meaning the data never leaves your computer. You can also import ready-made decks from a JSON file, which is useful for sharing study sets with classmates, and a sample deck on software metrics is included to try it out immediately. You would use this for straightforward exam cramming when you want something lightweight and private that starts instantly. It includes search and filtering, per-deck progress stats, and a clean, keyboard-friendly interface. The tech stack is React 18 and Tailwind CSS, both loaded from a content delivery network so there is no build step required, since everything lives in one HTML file. Spaced repetition, which schedules cards at optimal review intervals, is on the roadmap but not yet included, the current algorithm is a simpler priority queue that always resurfaces the hardest cards first. The project is released under the MIT license.
FlashLearn is a single-file, local-first flashcard study app that runs in any browser with no install, prioritizing cards you rate as hard so you review your weak spots first.
Mainly HTML. The stack also includes React, Tailwind CSS, JavaScript.
MIT license: use, modify, and distribute freely, including commercially, as long as you keep the copyright notice.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.