patrick 699a1a7fa2 feat: merge books from the duplicates screen and the toolbar
A workbench with the folded records in a rail, the survivor's fields live and
editable beside them, and per-field actions chosen by what kind of field it is.
Fields the records agree on stay out of the way. Reachable from a duplicate
group and from the selection toolbar, which is the only way to merge a pair the
detector never proposed.
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Chitai - eBook Library Management

eBook library management application.

  • Backend built with Python and Litestar
  • Frontend built with Svelte 5 and SvelteKit
Library Home Page

Key Features

  • Libraries: Organize your eBooks into customizable libraries.
  • Book Upload: Easily upload eBook files in common formats, with automatic metadata extraction.
  • Personalized Bookshelves: Create and manage custom bookshelves (lists) within your libraries to categorize your eBooks.
  • Built-in Readers: Integrated readers for EPUB and PDF files.
  • Progress Tracking: Monitor your reading progress within each book.
  • Search Functionality: Quickly find books based on title.

Getting Started

Prerequisites

  • Docker
  • Docker Compose
  • (Optional) A text editor for modifying the .env file.

Installation (Production Deployment)

  1. Clone the repository: git clone <repository_url> (Replace <repository_url> with the actual URL)
  2. Navigate to the project root: cd chitai
  3. Build the Docker images: docker compose build
  4. Copy the example environment file and configure: cp .env.prod-example .env
  5. Run the Docker containers in detached mode: docker compose up -d
  6. Access the frontend at: http://localhost:3000/

Development

NixOS Development Environment

To utilize the NixOS development environment:

  1. Navigate to the project root in your terminal: cd chitai
  2. Enter the Nix shell: nix-shell

Docker development containers are planned for a future release.

S
Description
A self-hosted eBook management application, with OPDS support and built-in EPUB and PDF readers.
Readme GPL-3.0
39 MiB
Languages
Python 52.7%
Svelte 33%
TypeScript 12.5%
Shell 0.5%
CSS 0.4%
Other 0.9%