Homer3 VS dipy

Compare Homer3 vs dipy and see what are their differences.

Homer3

MATLAB application for fNIRS data processing and visualization (by BUNPC)

dipy

DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging. (by dipy)
InfluxDB - Power Real-Time Data Analytics at Scale
Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
www.influxdata.com
featured
SaaSHub - Software Alternatives and Reviews
SaaSHub helps you find the best software and product alternatives
www.saashub.com
featured
Homer3 dipy
2 3
81 669
- 1.0%
1.6 9.9
8 days ago 4 days ago
MATLAB Python
- GNU General Public License v3.0 or later
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.

Homer3

Posts with mentions or reviews of Homer3. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-06-13.

dipy

Posts with mentions or reviews of dipy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-02-09.
  • How to find diffusion tensor images?
    1 project | /r/neuro | 5 Oct 2022
    I thought I would get the colorful photos and use this python library (dipy)[https://dipy.org/] to transfer the picture to a matrix. So I now I'm kind confused how I'd get the "numbers"/color in the legend next to the matrix photo I linked. Cause it sounds like the colors have no significance to how many neurons are in that portion rather it sounds like the colors or a way to differentiate on section of the brain from another when just looking at the photos.
  • how to convert dti data to matrix?
    1 project | /r/neuro | 15 Sep 2022
  • Jupyter refuses C++
    2 projects | /r/Jupyter | 9 Feb 2022

What are some alternatives?

When comparing Homer3 and dipy you can also consider the following projects:

Kilosort - Fast spike sorting with drift correction for up to a thousand channels

pySBD - 🐍💯pySBD (Python Sentence Boundary Disambiguation) is a rule-based sentence boundary detection that works out-of-the-box.

Brain-Tumor-Segmentation-And-Classification - Brain Tumor Segmentation And Classification using artificial intelligence

PaddleHelix - Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集

xeus-cling - Jupyter kernel for the C++ programming language

albumentations - Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

NIPY - Workflows and interfaces for neuroimaging packages

MONAILabel - MONAI Label is an intelligent open source image labeling and learning tool.