This repository is a CLI tool for translating books (EPUB, TXT, PDF, SRT, Markdown) into bilingual versions (original + translation side-by-side) using large language models (OpenAI, Anthropic, Gemini, etc.) and free machine translation engines. It supports multiple translation backends, a provider configuration system, and a PDF-to-EPUB pipeline using docling for PDF extraction and Pandoc for EPUB export. The architecture is modular: loaders parse input formats, translators handle API calls with session context and capability probing, and a pipeline orchestrates PDF-to-EPUB conversion with figure rendering and classification. Key entry points are `make_book.py` and the installed command `bbook_maker`. The tool includes features like plan mode for selective translation, glossary support, resume, progress bars, and Docker support. It has extensive tests covering CLI contract, loaders, translators, pipeline stages, and documentation. External dependencies include LLM APIs, docling, pypdfium2, Pandoc, and various SDKs. The codebase demonstrates careful engineering decisions around capability degradation, session compaction, glossary learning, and structured output ladder. It is a well-maintained application with active development and low technical drift.

A full-stack personal running activity dashboard that syncs workout data from over a dozen platforms (Strava, Garmin, Nike, Keep, Coros, etc.) via Python scripts, stores it in SQLite, and renders interactive web visualizations (React + Mapbox) and SVG posters (grid, heatmap, year summaries). It also includes a terminal UI (Textual) and an optional AI-powered share image generator. The architecture is a hybrid monolith: a shared SQLite database backs both the frontend (exported as JSON) and SVG generation. The frontend is themeable with two built-in themes (classic, dashboard). While the sync scripts are tightly coupled to each provider's API, the SVG poster drawer library and the terminal UI's data aggregation layer are well-isolated and potentially reusable. The project is actively maintained with frequent commits, CI/CD pipelines, and Docker support, though it carries moderate technical drift due to many unpinned dependencies and reliance on third-party APIs that may change.