Apps Like MUD Realm for iPhone and iPad
Ranked alternatives
Showing 121–140 of 1,000 ranked alternatives.
簡錢 Symoney® - Personal Finance
FuzzyEra Softworks LLC
Log expenses and view budgets
Track income and expenses with fast logging for quick entries. View real-time exchange rates for multi-currency transactions. Analyze spending trends and categories through charts and insights. Set budgets and monitor progress over time.
Budgey: Simpler Budget App
Budgey Platforms, LLC
Track expenses, plan budgets, manage bills
Track expenses by category and set monthly budgets. Add transactions manually or scan receipts for auto-fill. Manage recurring bills and plan spending without bank integration. View detailed spending reports and adjust budgets as needed.
Expense Track: AIxpense
DELIX SOFTWARE SH.P.K
Track expenses and categorize income
Track income and expenses with AI-powered categorization. Set and adjust budgets. Receive spending insights and alerts. Sync transactions across devices. Generate reports and export data. Manage recurring bills and savings goals.
Drilling Hydraulics (Basic)
Carlos Moura
Calculate mud properties and gradients
Calculate hydraulic parameters for oil well . Input unit systems and decimal settings. Perform capacity and volume calculations. Determine mud properties, pressure gradients, and hydrostatic pressure. Compute mud pump output and friction losses.
Expense Track – Budget & Spend
Sayem Hossain
Expenses, set budgets, share insights
Log expenses instantly via tap, voice, or receipt photo. Automatically categorize transactions or create custom tags. Set category-specific spending limits and receive real-time notifications.
SubMan - Subscription Tracker
TILICHO LABS LLP
Track subscriptions and manage budgets
Track expenses by adding recurring payments manually or linking accounts. View monthly totals, set budget limits, and receive notifications when bills are due. Export spending data and categorize expenses for better financial oversight.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.