There are 18 repositories under goodreads topic.
A comprehensive list of books on Software Architecture.
一个综合了豆瓣,goodreads综合评分的计算机书籍书单
[UNMAINTAINED] A goal, task & habit tracker + personal dashboard to focus on what matters
Ten thousand books, six million ratings
A chrome extension to download ebooks directly from Goodreads.
🧩 a self-hosted server tracking what you read/watch/listen/play, powering a global distributed community federating via ActivityPub and (a bit of) ATProto.
An Alternative Private Goodreads Front-End.
Book Recommendation System built for Book Lovers📖. Simply Rate ⭐ some books and get immediate recommendations🤩
A plugin to connect your Goodreads shelves to your Obsidian vault.
Scrape data from Goodreads using Scrapy and Selenium :books:
🩺 Track, visualize, and embed your health and life data — location, health, work, play, and more
ReaDB is your private digital bookshelf. Read. Review. Remember.
Goodreads API wrapper for node.js
9 tools for Goodreads.com, for finding people based on the books they’ve read, finding books popular among the people you follow, following new book reviews, etc
A personal project to help me retain information from books
Export your (or other people's) Goodreads data to SQLite
export mac ibook annotations/hightlights to obsidian vault
Piecelet for NeoDB App - Track and share your books, movies, music, games, performances, a pure SwiftUI client.
Small tool to add additional data to .csv library exports from goodreads
Search Goodreads.com from Alfred
A Jupyter notebook where I play with my Goodreads data
:books: Goodreads .NET API Client Library
Скрипт для экспорта прочитанного на Livelib в CSV-файл
Gathering dataset from Goodreads website
Find books on Goodreads and share them quickly in Telegram chats.
Web app to display detailed statistics of users reading habits from their goodreads data.
:books: A GoodReads.com Scraper script to get books reviews including text and rating.
This project implements an ELT (Extract - Load - Transform) data pipeline with the goodreads dataset, using dagster (orchestration), spark (calculation) and dbt (transformation)