Floraria Iris app icon

Apps Like Floraria Iris for iPhone and iPad

by Computer Fun SRL★ 0.00 ratingsShoppingFreeData updated 2026-09-06

Floraria Iris screenshots

Ranked alternatives

Showing 81–100 of 1,000 ranked alternatives.

  1. Planet Beauty app icon

    Planet Beauty

    Beena Beauty Holding, Inc

    Shop luxury products anytime

    Browse product categories including makeup, skincare, haircare, and body care. View product details, prices, and customer reviews. Place orders and track shipments. Access exclusive deals and promotions.

    ★ 4.91,047 ratingsShoppingFreeData updated 2026-09-06
  2. Mercaso app icon

    Mercaso

    Mercaso, Inc.

    Order groceries and bulk items delivered

    Shop for bulk groceries and household items from major brands. Compare prices and save on wholesale deals. Schedule deliveries and track shipments. View product details and read customer reviews. Manage orders and adjust delivery preferences.

    ★ 4.9646 ratingsFood & DrinkFreeData updated 2026-09-06
  3. Tiege Hanley app icon

    Tiege Hanley

    Tiege Hanley, Inc.

    Shop skincare products and track your routine

    Browse product categories and view detailed skincare ingredient information. Add items to a cart and proceed to checkout. Track order status and view past purchases. Access customer reviews and ratings.

    ★ 4.9761 ratingsShoppingFreeData updated 2026-09-06
  4. Real Foods app icon

    Real Foods

    Desquared Computing Services A.E.

    ★ 0.00 ratingsShoppingFreeData updated 2026-09-06
  5. Piese auto noi si dezmembrari app icon

    Piese auto noi si dezmembrari

    PieseAuto.ro Marketplace SRL

    Find parts, get offers, choose the price

    Search for car parts by name, receive price offers from sellers nationwide, select the offer, and ensure the lowest price. Compare offers from multiple sellers in one place, filter and sort options, and track order status directly within the .

    ★ 5.016 ratingsUtilitiesFreeData updated 2026-09-11

How we rank alternatives

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