StatDataViewer app icon

Apps Like StatDataViewer for iPhone and iPad

by Xiaoguang Yan★ 0.00 ratingsProductivityFreeData updated 2026-09-06

StatDataViewer screenshots

Ranked alternatives

Showing 721–740 of 1,000 ranked alternatives.

  1. Pinchy app icon

    Pinchy

    Jason Polak

    ★ 0.00 ratingsDeveloper ToolsFreeData updated 2026-09-06
  1. CodeBlue 6 app icon

    CodeBlue 6

    Tomoyuki Okawa

    Manage code snippets with groups and ratings

    Allows users to manage code snippets with grouping and importance ratings. Snippets can be searched across groups or individually. Each snippet has a unique identifier for tracking. Users can run content searches within groups or all groups.

    ★ 0.00 ratingsDeveloper ToolsFreeData updated 2026-09-06
  2. Reference Miner app icon

    Reference Miner

    Sonny Software, LLC

    Search Internet reference sites easily.

    The app searches PubMed, Library of Congress, Google Scholar, Google Books, JSTOR, and Amazon for reference information. It offers single or multi-column display, a built-in browser, PDF downloads, book cover art, and email citation options.

    ★ 0.00 ratingsProductivityFreeData updated 2026-09-17
  3. TeamShaker app icon

    TeamShaker

    actyvyst GmbH

    Generate balanced teams for any game.

    The app generates teams for various sports. Users can input player data, optionally rating individual player power for balanced teams.

    ★ 3.01 ratingsUtilities$0.99Data updated 2026-09-18
  4. Memodori app icon

    Memodori

    晓晖 王

    Organize notes with a timeline interface

    Organize thoughts and memories with a timeline interface. Add, edit, and categorize notes. View notes by date with visual indicators for importance. Group notes into time periods for easier navigation. Set reminders and sync across devices.

    ★ 5.01 ratingsLifestyleFreeData updated 2026-09-06
  5. CineUp app icon

    CineUp

    Hunter McLaughlin

    ★ 0.00 ratingsProductivityFreeData updated 2026-09-06

How we rank alternatives

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