NIR Scan app icon

Apps Like NIR Scan for iPhone and iPad

Collect samples and send data for analysis

Collects sample data using Near-Infrared Spectroscopy to authenticate raw materials. It sends data to a server for machine learning model training. Users can predict material quality based on trained models.

by WAVY MEET S.a r.l.★ 0.00 ratingsUtilitiesFreeData updated 2026-09-06

NIR Scan screenshots

Ranked alternatives

Showing 541–560 of 1,000 ranked alternatives.

  1. Modbus Commander app icon

    Modbus Commander

    Andrew Webb

    Send messages and view hex responses

    Send TCP messages to any server with a single click. View request and response data in native hex format. Validate connectivity, troubleshoot devices, and demonstrate operations.

    ★ 0.00 ratingsUtilities$9.99Data updated 2026-09-06
  1. SqlProg Database Query Studio app icon

    SqlProg Database Query Studio

    Balasubramanian Ramanathan

    Execute queries and view results remotely

    Manage and databases remotely. Connect to MySql, SQL Server, Oracle, PostgreSQL, DB2, and Microsoft Access. View tables in tile or table format. Search, visualize, and script data. Execute queries and review results directly.

    ★ 1.01 ratingsProductivity$9.99Data updated 2026-09-08
  2. 3D Cost app icon

    3D Cost

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    ★ 1.01 ratingsProductivity$0.99Data updated 2026-09-06
  3. CropIQ app icon

    CropIQ

    JusPredict Inc.

    ★ 3.02 ratingsProductivityFreeData updated 2026-09-06
  4. In-Cube app icon

    In-Cube

    JANG SAS

    View materials, compare options, select samples

    Explore materials like tiles, wood, and stone a 2.5m cube space. View different shades and textures of each material. Compare options side by side. Save preferred selections. Share material details with clients.

    ★ 0.00 ratingsUtilitiesFreeData updated 2026-09-12
  5. IsoCal app icon

    IsoCal

    Emil Aerenlund

    ★ 5.01 ratingsUtilities$14.99Data updated 2026-09-06

How we rank alternatives

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