Image Credits: Shoho Sato, author of "Say Hello to Black Jack"
Manga Explorer is an iOS app for discovering new mangas of your choice. You can find detailed information like plot description, authors, alternative titles and characters. Mangas are ranked using data from Anime News Network. The ranking is based on a bayesian average of median, arithmetic and weighted mean of ratings provided by users. Character information is fetched from Ani List.
Manga Explorer does not sell mangas but you can add mangas to your Wish List or Favorites List for easy access when visiting a book shop or online store to look up which mangas you could consider buying based on the ranking and plot summary.
You can use Manga Explorer to discover new mangas using the Genre tab or search for your favorite mangas by title or author directly from the Search tab. You can also share beautiful snapshots of manga details with your friends.
Manga Explorer Home and Privacy Policy page
Upon first install, the app will load the database with pre-fetched records of manga (from Anime News Network) for a better user experience.
Upon first run of the app, it will fetch the latest mangas from Anime News Network. The user can later specify in Settings if latest available mangas should be fetched daily, weekly or monthly.
There are 5 tabs available:
Manga Details: Clicking on a Manga displays the details: Manga title, creators, plot summary, alternative titles, and manga characters. The characters are fetched live from AniList. Users can also add or remove a manga from their Wish List or Favorites. Users can also share mangas with their friends by clicking on the Action button in the navigation bar. Data source is also listed, clicking on the Anime News Network button will open the browser with the relevant manga information, whereas clicking on the Ani List button will show the manga browsing page at Ani List.
Anime News Network is the most reliable source of manga information that we have been able to find. Their ratings system is very good and they have a large collection of mangas in their database (over 7,900). But their API is very limited, for example it doesn't allow search or browse by genres. To overcome this limitation we pre-fetched information from Anime News Network and pre-load the app with this information upon first install. Later the app updates itself with the latest available mangas that get added to Anime News Network on daily, weekly or monthly basis as set by the user. The initialization screen uses NSProgress. Anime News Network API fetches XML data.
The other source of manga information is Ani List where manga character information is fetched. The combination of information from Anime News Network and Ani List provides richer manga content. Ani List API fetches JSON data.
The app uses custom Collection and Table View Cells, UIButtons and a custom UISegmented Control.
All manga information is stored in Core Data, user settings are stored through NSUserDefaults and manga images are stored in the user documents directory.
The Manga Details view combines static table view cells with a collection view that displays manga characters.
The search feature uses the more modern UISearchController class.
The model contains the following entities: manga, genre, staff, alternative title, and character.
The app uses an open source class IJReachabilityType to detect network availability.