psyicarus/quizlet-match-whisper — explained in plain English
Analysis updated 2026-05-18
Automatically complete Quizlet Match games in adjustable modes ranging from hints to full automation.
Use randomized click timing so the automation looks closer to natural human interaction.
Review past match sessions offline through a local web dashboard.
| psyicarus/quizlet-match-whisper | 23k65a1408/create-aeronautics-skywards | 8015238355/mm2-analytics-dashboard-2026 | |
|---|---|---|---|
| Stars | 185 | 185 | 185 |
| Setup difficulty | moderate | moderate | moderate |
| Complexity | 2/5 | 3/5 | 2/5 |
| Audience | general | general | general |
Figures from each repo's GitHub metadata at analysis time.
Requires Python 3.9+, Chrome or Firefox, and Selenium installed via pip.
Quizlet Match Whisper is an automation tool written in Python for the Quizlet Match game, where students match terms to their definitions against a timer. The idea presented by the README is to let the tool handle the repetitive clicking so the user can focus on understanding the material rather than racing against the clock, and to help students who find the speed based format stressful or hard to use. The tool works by scanning the game's page in the browser using Selenium, identifying which terms pair together, and then simulating mouse clicks to complete matches. It runs in three modes: an Eco mode that just highlights correct pairs after a delay, an Assist mode that auto matches when confidence is high, and a Zen mode that handles everything automatically. Users can configure how quickly actions happen through delay settings, and the tool adds randomized mouse movement and click timing intended to look more like natural human behavior rather than a fixed script. The README also describes optional integration with the OpenAI and Claude APIs, where a user's own API key can be used to help the tool recognize synonyms between terms, and a local web dashboard at localhost that shows session progress and lets you review past matches offline. You would use this if you want to get through Quizlet Match exercises quickly for review purposes, or if you find the speed based format inaccessible. Setup requires Python 3.9 or higher, Google Chrome or Firefox, and installing dependencies such as Selenium through pip. It runs on Windows, macOS, and several Linux distributions, and configuration is done through a YAML profile file or the local web dashboard. The project lists an MIT license.
A Python tool that automates matching terms in the Quizlet Match game by simulating browser clicks.
Use freely for any purpose, including commercial use, as long as you keep the copyright notice.
Setup difficulty is rated moderate, with roughly 30min to a first successful run.
Mainly general.
This repo across BitVibe Labs
Verify against the repo before relying on details.