MNSTR V2 app icon

Apps Like MNSTR V2 for iPhone and iPad

by Michael Christenson★ 0.00 ratingsGamesFreeData updated 2026-09-06

Ranked alternatives

Showing 281–300 of 1,000 ranked alternatives.

  1. Doodle Creatures™ Alchemy HD app icon

    Doodle Creatures™ Alchemy HD

    JoyBits Co Ltd.

    Create creatures by combining animals

    Create and combine animals to design unique creatures. Use DNA scanning to mix traits from different species. Play as a doctor to analyze and combine animal features for new creations. Share and compare custom creatures with others.

    ★ 2.935 ratingsGamesFreeData updated 2026-09-09
  1. Knit Master 3D: wool sort game app icon

    Knit Master 3D: wool sort game

    Arcloom., Ltd.

    Create art by matching yarn balls

    Match yarn balls to unlock paints and create pixel art. Rescue balls by matching 3 or more. Use the holding bar to manage collected items. Complete challenges featuring animals and landscapes. Enjoy ASMR sounds and strategic gameplay.

    ★ 4.3266 ratingsGamesFreeData updated 2026-09-06
  2. Doodle Creatures™ HD app icon

    Doodle Creatures™ HD

    JoyBits Co Ltd.

    Combine animals to create creatures.

    The app allows users to combine animal DNA to create hundreds of unique creatures. Users can build and upgrade a genetic laboratory to expand their creature universe.

    ★ 3.929 ratingsGames$2.99Data updated 2026-11-02
  3. Tamer Quest app icon

    Tamer Quest

    Giby Games Oyun Teknolojileri Anonim Sirketi

    ★ 0.00 ratingsGamesFreeData updated 2026-09-06
  4. Monster Buster: World Invasion app icon

    Monster Buster: World Invasion

    Tag of Joy, UAB

    Fight monsters in real- locations

    Fight monsters in real- locations using augmented reality. Capture and collect rare creatures from parallel universes. Engage in battles using your smartphone's camera. Track progress and explore new areas to find more monsters.

    ★ 4.8170 ratingsGamesFreeData updated 2026-09-12

How we rank alternatives

Apps are ranked by functional similarity, category fit, rating confidence, and popularity.