SubMOA 6.2

Haiyuan Wang – Freeware – iOS
out of 43 votes

SubMOA is a mobile application tailored for shooting sports enthusiasts, specifically catering to precision rifle shooters.

Utilizes the phone's back camera to accurately capture scaled target images
Enables users to select target images from their device library
Allows manual adjustment of actual size on target images
Offers the ability to re-analyze targets
Provides calculations such as group size and point of impact through target image analysis
Generates analyzed target images for convenient record-keeping and sharing
Logs equipment setups alongside target images
Documents shooting conditions like temperature and wind conditions
Manages shooting results records efficiently
Facilitates sharing of target images directly from the Camera Roll
Permits the analysis and recording of multiple groups on a single target
Allows users to customize font sizes for labels
Supports the metric system for measurements
Gives users the option to choose between MOA or MIL as accuracy units
Caculates group mean radius for precision assessment
Enables users to attach equipment images to targets for comprehensive documentation

Overview

SubMOA is a Freeware software in the category Games & Entertainment developed by Haiyuan Wang.

The latest version of SubMOA is 6.2, released on 02/23/2024. It was initially added to our database on 02/23/2024.

SubMOA runs on the following operating systems: iOS.

Users of SubMOA gave it a rating of 3 out of 5 stars.

Highly intuitive user interface that simplifies complex molecular analysis.
Supports a wide range of molecular structures and formats.
Advanced visualization tools for better understanding of molecular interactions.
Regular updates and improvements to add new features and enhance performance.
Strong community support and documentation available online for troubleshooting.

Limited support for certain specialized molecular formats compared to competitors.
Certain advanced features may require a steep learning curve for new users.
Performance may be sluggish on older hardware or with very large molecular datasets.
Pricing structure can be confusing, especially for academic users on a budget.
Not as widely adopted as some other similar software, which may impact collaboration with other researchers.

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