Viewers VS battlemath

Compare Viewers vs battlemath and see what are their differences.

Viewers

OHIF zero-footprint DICOM viewer and oncology specific Lesion Tracker, plus shared extension packages (by OHIF)
nci-itcr nci-qin quantitative-imaging imaging-informatics cancer-imaging-research Dicom image-analysis medical-image-processing medical-imaging ReactJS JavaScript HacktoberFest dicom-viewer Medical
Source Code
docs.ohif.org
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battlemath

A basic math game for children (by JesseRWeigel)
HacktoberFest cypress-io JavaScript ReactJS
Source Code
jesserweigel.github.io
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Viewers battlemath
2 2
2,909 34
1.6% -
9.7 0.0
6 days ago about 1 year ago
TypeScript TypeScript
MIT License MIT License
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

Viewers

Posts with mentions or reviews of Viewers. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2024-04-21.
  • Show HN: Volume rendering 3D data in Three.js and GLSL
    5 projects | news.ycombinator.com | 21 Apr 2024
    My app does not support DICOM files as input. Just Uint8 256x256x256 raw files that are scaled 1x1x1. Maybe if I had the chance to work on it full-time I'd have the time to add those features, but it's just a side project for now.

    Have you looked into Slicer3D[0] which is a multi-platform desktop app or Open Health Image Foundations dicom viewer[1] which is web-based? Perhaps one of these will help.

    [0] https://www.slicer.org/

    [1] https://github.com/OHIF/Viewers

  • [P] VinDr Lab - an open-source annotation platform for Medical AI
    2 projects | /r/MachineLearning | 2 Apr 2021
    On a side note, I noticed that a significant portion of this viewer is based on work done by folks at OHIF. Because of the incredible amount of work that went into creating those tools, it is worth citing them in the VinDR arxiv paper:

battlemath

Posts with mentions or reviews of battlemath. We have used some of these posts to build our list of alternatives and similar projects.
  • Adding new features
    1 project | dev.to | 26 Nov 2022
    For my final release for the course, I would be working with a repository that I worked on during hacktoberfest called battlemath. This one has a fairly simple goal in mind, and that is to teach children with math. My first feature that will be implemented is a "difficulty" selection. This is fairly similar to their already existing mode selection for the operators. The difference is that, it will change the values that will be used.
  • HacktoberFest: Week 1
    1 project | dev.to | 6 Oct 2022
    First Issue

What are some alternatives?

When comparing Viewers and battlemath you can also consider the following projects:

cornerstone - JavaScript library to display interactive medical images including but not limited to DICOM

novu - 🔥 The open-source notification infrastructure with fully functional embedded notification center 🚀🚀🚀

vindr-lab - A Data Platform for Medical AI that enables building high-quality datasets and algorithms with lean process and advanced annotation features.

plyr-react - A simple, accessible and customisable react media player for Video, Audio, YouTube and Vimeo

cornerstone3D - Cornerstone is a set of JavaScript libraries that can be used to build web-based medical imaging applications. It provides a framework to build radiology applications such as the OHIF Viewer.

sorry-cypress - Open-source, free, self-hosted alternative to Cypress Dashboard

dwv - DICOM Web Viewer: open source zero footprint medical image library.

dicomviewer - DICOM Viewer in Nextcloud

gonii - Standalone NIfTI file parser

image-size - Node module for detecting image dimensions

Phantom - Effective DICOM anonymization in Python

u-dicom-viewer - A simple web browser DICOM viewer for any device.

Viewers vs cornerstone battlemath vs novu Viewers vs vindr-lab battlemath vs plyr-react Viewers vs cornerstone3D battlemath vs sorry-cypress Viewers vs dwv Viewers vs dicomviewer Viewers vs gonii Viewers vs image-size Viewers vs Phantom Viewers vs u-dicom-viewer