Apps Like Divy - A Flock App for iPhone and iPad
Ranked alternatives
Showing 101–120 of 1,000 ranked alternatives.
Pennyworth Expense Tracker App
Jack Xuan
Track expenses, set goals, manage budgets
Track expenses, create budgets, and set financial goals. View spending reports and charts. Monitor progress toward savings targets. Manage multiple accounts and categorize transactions. Receive alerts for budget limits. Sync data across devices.
Multiset
Benjamin Ng
Split bills by item or total amount
Track expenses and split costs among groups. Log individual payments, split bills by item or total, and calculate owed amounts automatically. View spending trends and receive notifications for pending payments.
Home Budget Tracker & Planner
takaaki ono
Track expenses and share budgets
Track monthly spending with real-time balance updates and set spending limits. Customize income and expense categories for shared budgeting without linking bank accounts. Assign and manage to-do tasks with customizable completion conditions.
Splitara - Smart Settlement
馨杭 虞
Track group expenses across different currencies.
The app handles complex group expense splitting across multiple currencies and activities. It automatically calculates balances and allows for fund management, with cloud sharing and home screen widgets for convenience.
Kittysplit: Split Group Costs
Kittysplit UG (haftungsbeschrankt)
Bills instantly with friends
And track shared expenses with friends or family. Create events to divide bills, assign payments, and view balances. Share links for others to contribute. No registration or passwords required. Sync across devices and browsers.
BestTracker - 百事AA记账
Beijing BaiShiChuangYi Technology Co., Ltd.
Share ledgers, split expenses, track money
Create and share multiple ledgers with others for collaborative financial management. Split expenses and revenue among trips, housemates, friends, or business partners using equal sharing, proportion, shares, or exact amounts.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.