Description
Data Crow is open-source software for collection management, developed to organize, catalog, and manage various types of items, such as books, movies, music, games, software, comics, wines, contacts, and much more. It is customizable and aimed at collectors, librarians, or anyone who needs to maintain a detailed catalog of their assets or data.
Main Features:
- Multiple Collection Management:
- Supports a range of predefined categories, including:
- Books
- Movies
- Music (CDs, vinyl)
- Games
- Software
- Comics
- Images
- Wines
- Generic objects (custom items)
- Contacts
- Allows creating custom categories for any type of collection.
- Automatic Cataloging:
- Integration with online services for automatic information filling, such as:
- IMDb (movies)
- Amazon (books, movies, music)
- Discogs (music)
- Comic Vine (comics)
- MobyGames (games)
- Among others.
- Just enter a title, ISBN, UPC, or another identifier, and Data Crow downloads details like descriptions, covers, ratings, and metadata.
- Interface and Customization:
- User-friendly graphical interface with list, table, card, or tree views.
- Customizable fields: you can add, remove, or edit fields (e.g., author, year, genre) for each type of item.
- Support for filters and advanced searches to locate items quickly.
- Custom reports in PDF, HTML, or other formats.
- Media Management:
- Stores and organizes digital files associated with items (e.g., PDFs of books, MP3s, images).
- Viewing images and covers directly within the software.
- Loan support: tracks who borrowed items and when they should be returned.
- Import and Export:
- Imports data from CSV, XML files, or existing databases.
- Exports collections to HTML (to create websites), PDF, or other formats.
- Backup and restore data to protect your collections.
- Additional Features:
- Support for additional modules to expand functionality.
- Contact management, useful for libraries or collectors who trade items.
- Statistical tools to analyze collections (e.g., count of items by category, estimated value).