Y Pellets app icon

Apps Like Y Pellets for iPhone and iPad

by Cranmore Consulting Limited★ 0.00 ratingsUtilitiesFreeData updated 2026-09-06
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Ranked alternatives

Showing 181–200 of 1,000 ranked alternatives.

  1. Decibel Meter-Noise monitoring app icon

    Decibel Meter-Noise monitoring

    Mirarobot Science & Technology Co., Ltd.

    Measure noise, track decibels, generate reports

    Measure ambient noise levels in real time and save data locally. Generate visual reports from collected data. Record noise changes with camera forensics.

    ★ 4.214 ratingsUtilitiesFreeData updated 2026-09-06
    App details
  4. dBMeter - Decibelmeter app icon

    dBMeter - Decibelmeter

    Ramon Palacios Saez

    Measure sound intensity in real time

    Measures sound intensity in real time with decibel accuracy. Displays minimum, maximum, and average noise levels. Shows noise-time graphs for analysis. Allows microphone calibration for precise readings. Supports background and screen-off operation.

    ★ 3.47 ratingsUtilitiesFreeData updated 2026-09-06
    App details
  5. Glide app icon

    Glide

    Glide Utilities Ltd.

    ★ 1.06 ratingsUtilitiesFreeData updated 2026-09-06
    App details
  10. Stûv Pellets app icon

    Stûv Pellets

    ATLANSE Portugal Solucoes de Tecnologias de Informacao, Lda.

    ★ 0.00 ratingsUtilitiesFreeData updated 2026-09-06
    App details
  11. Linker-EK app icon

    Linker-EK

    Guangdong Euroklimat Air-Conditioning & Refrigeration Co.,Ltd

    ★ 0.00 ratingsUtilitiesFreeData updated 2026-09-06
    App details
  16. M2 Carpet Calculator app icon

    M2 Carpet Calculator

    Measure Square Corp.

    Calculate materials for rooms and surfaces

    Calculate material needs for flooring, walls, and ceilings. Draw rectangles or L-shapes to measure spaces. Account for installation standards like seams and tile centering. Estimate product usage based on real layouts.

    ★ 4.04 ratingsUtilities$2.99Data updated 2026-09-12
    App details

How we rank alternatives

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