$ show ankitects/anki
Anki is a mature, cross-platform spaced-repetition flashcard application. While it is fundamentally an end-user product, it contains significant embedded algorithmic and data-analysis components (FSRS memory-state scheduling, revlog analytics, retention simulation) that make it a hybrid of application and computational research. The production system consists of a Rust backend that owns all core logic, scheduling, SQLite persistence, sync, and media management; a Python Qt desktop frontend (`aqt`); a TypeScript/Svelte web UI for modern editors, graphs, deck options, and image occlusion; and a standalone sync server binary. Communication between languages is driven by protobuf service definitions, with generated bindings for Rust, Python, and TypeScript.
The LLM identified 5 files worth highlighting for reuse:
Implements a configurable daily/weekly/monthly backup thinning algorithm with retention limits. The logic is generic enough to be extracted into any backup or snapshot system that must prune old artifacts while preserving evenly spaced recovery points.
Provides a deterministic iterator that evenly interleaves two sequences while maintaining relative order, used to mix new and review cards fairly. This is a standalone algorithmic utility that could be reused in task scheduling, playlist generation, or any load-balancing interleaving problem.
A tree-based formatting engine for applying styles to text ranges inside contenteditable elements. It handles overlapping formatting nodes, merge/ascend/extend operations, and caret preservation with a clean abstraction. Reusable in any modern browser-based rich-text editor without coupling to a specific framework.
The ThrottlingProgressHandler coalesces progress updates and provides cancellation tokens for long-running operations. The pattern is generic and can be extracted into any application needing UI-friendly progress reporting from background work.
TaskManager wraps Qt background thread execution with main-thread callbacks, progress dialog integration, and safe cancellation. It demonstrates a reusable pattern for keeping Qt UIs responsive while running blocking work, and can be adapted for any PyQt/PySide application.