Apps Like DotList for iPhone and iPad
Organize tasks, lists, and notes in one
Organize tasks, notes, and lists in one place. Create and manage multiple lists with customizable sorting options. Choose from themed interfaces to personalize your workspace. Add and edit items with personalized list controls.
Ranked alternatives
Showing 801–820 of 1,000 ranked alternatives.



DeleteContacts
ProtoTech Solutions and Services Pvt. Ltd.
Delete multiple iPhone contacts easily.
The app lists all contacts, allowing users to select multiple entries for deletion. Users can search for contacts and view additional details before confirming the removal.



KwikSHOP
Christopher king
Create and manage shopping lists easily.
The app offers a straightforward method for creating and managing shopping lists. Users can organize items into customizable categories and receive cost estimates.

MindPreview Lite
Kyungryul Kim
Visualize structure and classify ideas.
The app is a mind mapping tool that helps users generate, visualize, and structure ideas. It supports floating topics, sidebars, and photo attachments, and can export maps in multiple formats.


GroupsPro
Demodit GmbH
Organize contacts, manage groups, create lists.
The app allows users to organize contacts into groups and create mailing lists for SMS and email. It supports sending files and photos with mass emails, searching contacts, and exporting data to Excel and CSV files.





mfr - Field Service Management
Simplias GmbH
Coordinate technicians in the field easily.
The app provides field service management software to coordinate technicians. It offers features like cost control, service protocol creation, and offline capabilities.



MyMonolith Sales
SmartDigit - Unipessoal, Lda
Manage , update catalogs, process orders, track
Manage B2B operations by updating catalogs, price lists, and customer information. Create and modify orders. Track strategies and item details. Integrate with existing systems for real-time data synchronization.



How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.