Melbourne Pollen Count app icon

Apps Like Melbourne Pollen Count for iPhone and iPad

by AirHealth Pty Ltd★ 4.524 ratingsWeatherFreeData updated 2026-09-08

Melbourne Pollen Count screenshots

Ranked alternatives

Showing 721–740 of 1,000 ranked alternatives.

  1. CogState app icon

    CogState

    CogState Inc

    Testing cognition for academic researchers.

    The app provides academic researchers with a method for testing cognition. It utilizes culture-neutral stimuli to detect cognitive change in subjects.

    ★ 5.01 ratingsMedicalFreeData updated 2026-10-09
  2. Field Facts app icon

    Field Facts

    Centers for Disease Control and Prevention

    ★ 4.25 ratingsMedicalFreeData updated 2026-09-06
  1. SPIRO app icon

    SPIRO

    Universite Laval

    ★ 0.00 ratingsMedical$3.99Data updated 2026-09-11
  2. Water Storages app icon

    Water Storages

    Melbourne Water Corporation

    Melbourne dam and catchment levels.

    The app provides daily dam and catchment levels for Melbourne. Users can view storage levels, catchment rainfall data, and daily water usage information.

    ★ 4.01 ratingsWeatherFreeData updated 2026-09-14
  3. MedTablet app icon

    MedTablet

    Mobile MedSoft, LLC

    Track medications, prescribe, and chart patient care

    Access patient records, manage electronic medication administration, and process prescriptions. Document care activities in real-time. Communicate within facilities and track locations using GPS. Share data securely via cloud technology.

    ★ 5.04 ratingsMedicalFreeData updated 2026-09-08
  4. Health through Breath: Pranayama Lite for the iPad app icon

    Health through Breath: Pranayama Lite for the iPad

    Saagara LLC

    Balance life and reduce daily stress.

    The app guides users through deep breathing exercises using music and animated visuals. It helps reduce daily stresses and tensions by promoting a relaxed, meditative state.

    ★ 4.01 ratingsHealth & FitnessFreeData updated 2026-09-14

How we rank alternatives

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