Apps Like Loch Ness Attack for iPhone and iPad
Survive the Loch Ness Monster attack.
The app challenges players to navigate a raft to shore while avoiding Loch Ness Monsters and swimmers. Players must complete all levels to win the game.
Loch Ness Attack screenshots
Ranked alternatives
Showing 401–420 of 1,000 ranked alternatives.
3D Garbage Truck Racing Game With Real City Racer Games And Police Cars FREE
uTappz Mobile Development LLC
Race monster garbage trucks and destroy opponents.
The app features four unlockable garbage trucks for racing. Players can destroy opponents, collect coins and power-ups, and experience endless play with increasing challenges.
Super Hungry Fish
Shamus Smith
Eat small , avoid big ones, grow
Play as a that swims through an ocean filled with other . Eat smaller to grow and avoid larger ones. Jellyfish can either help you grow or shrink you. The goal is to eat as many as possible before being eaten.
Sea Monster Simulator
Benjamin Satterwhite
Control a huge 3D sea monster.
The app allows users to control a 3D sea monster. Users can swim in the water or move on the beach to catch and eat people and sharks before the timer runs out.
Easter Egg Drop
JS Digital Productions, Inc.
Catch the falling Easter eggs now.
The app challenges users to catch falling Easter eggs in a basket before they reach the ground. Users must catch a specific number of eggs to finish each level, with increasing difficulty.
Ice Spiders Attack
JS Digital Productions, Inc.
Escape the Arctic Ice Spiders Now
The app places users in a Top Secret Government lab in the Arctic. Users must escape Giant Ice Spiders using a hovercraft before being caught.
Fantasy Dragon Hunting Game 3D
Muneeb Faisal
Fly dragons, battle enemies, survive challenges
Explore a 3D open-world environment with flying and combat mechanics. Battle enemies, collect resources, and upgrade skills. Survive challenges, hunt mythical creatures, and customize abilities. Navigate islands and jungles with interactive maps.
How we rank alternatives
Apps are ranked by functional similarity, category fit, rating confidence, and popularity.