Apps Like Wangrin for iPhone and iPad
Wangrin screenshots
Ranked alternatives
Showing 501–520 of 1,000 ranked alternatives.
Contacts Duster - Cleaner
MyClickapps.com LLC
Dust messy address books since 2010.
The app helps users clean their address books by finding duplicates, merging repeated contacts, and removing empty entries. It also organizes contact groups and provides backup and restore functionality through iCloud.
Caller ID & Reverse Lookup
Yurii Piechkurov
Identify calls, block spam, reveal details
Identify unknown callers and block spam numbers. Access call logs and contacts to manage call history. Search for unknown numbers and reveal details. Prevent unwanted messages and texts. Organize calls and protect personal information.
Fraud Scanner
Internet Police B.V.
Alert for unsafe websites
Detects and blocks suspicious websites in real time. Provides automatic alerts for unsafe URLs. Helps prevent phishing and online by identifying potential threats. Blocks access to malicious sites. Offers security features to enhance browsing safety.
aHomeIcon
Mokten Pty Ltd
Create custom icons launch selected.
The app allows users to create custom icons and launch selected from the home screen. Users can save time and hassle by quickly launching contacts, playlists, websites, and more with personalized icons.
Telnames Mobile Website Builder
Telnames Limited
Manage your
Manage a -friendly using an iPhone. Edit content, update pages, and share your .tel domain. Control settings and preview changes directly from the .
Ruckus SWIPE
Ruckus Wireless International Inc.
Install and manage Ruckus Access Points
The app simplifies Ruckus Access Point (AP) installation and management. Users can register APs by scanning barcodes, naming them, taking photos, and selecting profiles.
PassDiary Password Manager
Epicomm Technologies Ltd
Securely store all account information.
The app securely stores account information in a vault. Passdiary does not access user data and stores nothing on servers.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.