Apps Like TrekStar for iPhone and iPad
Ranked alternatives
Showing 301–320 of 1,000 ranked alternatives.
![[Packing List]-Packify Packers app icon](https://is1-ssl.mzstatic.com/image/thumb/Purple221/v4/64/13/bb/6413bb93-e014-a9d1-eae2-2f6b9cf40088/AppIcon-0-0-1x_U007epad-0-1-85-220.png/512x512bb.jpg)
[Packing List]-Packify Packers
BOLDSCAP
Personalized packing list
Create a personalized packing list based on destination, trip length, and planned activities. Track packed and unpacked items to avoid losing valuables. Include preloaded checklists for clothing, toiletries, and travel essentials.








List'd
Aleksander MacIver
Share lists, rank favorites, connect with others
Create and publish custom Top 5 lists on any topic. Add optional notes to each item. Browse personalized feeds based on interests and followed accounts. View daily prompts for inspiration. Share lists publicly or with specific audiences.

Itinerary Maker for Vacations
Brightwood Apps LLC
Plan trips, share itineraries, track documents
Organize trip details with shared itineraries, collaborative planning, and centralized document storage. Track packing lists, set reminders, and sync updates in real time across multiple users.




Editorialist Private Client
Editorialist, LLC
Style your look, shop smart, manage
Create personalized outfits using existing wardrobe items and curated selections. Manage a digital closet with item categorization and tagging. Schedule styling sessions with dedicated stylists.


GetPacked: packing list
Lucas Van Schaik
Customized packing lists for every trip.
The app creates a customized packing list based on user needs and travel destination. It helps users save time and money by avoiding forgotten items and overpacking.

Suddath's Moving Guru
The Suddath Companies
Moving tasks, tips, and tracking.
The app adds moving tasks to a calendar up to 10 weeks before a move. It provides tips for domestic, international, or government moves and offers packing advice and videos.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.