danbooru-tags VS scCODA

Compare danbooru-tags vs scCODA and see what are their differences.

danbooru-tags

An analysis of tags and metadata on Danbooru (by nanoskript)

scCODA

A Bayesian model for compositional single-cell data analysis (by theislab)
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danbooru-tags scCODA
1 1
5 134
- 3.7%
4.1 2.2
11 months ago about 1 year ago
Jupyter Notebook Jupyter Notebook
MIT License BSD 3-clause "New" or "Revised" 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.

danbooru-tags

Posts with mentions or reviews of danbooru-tags. We have used some of these posts to build our list of alternatives and similar projects.

scCODA

Posts with mentions or reviews of scCODA. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-05.

What are some alternatives?

When comparing danbooru-tags and scCODA you can also consider the following projects:

imgbrd-grabber - Very customizable imageboard/booru downloader with powerful filenaming features.

popscle - A suite of population scale analysis tools for single-cell genomics data including implementation of Demuxlet / Freemuxlet methods and auxilary tools

DeepDanbooru - AI based multi-label girl image classification system, implemented by using TensorFlow.

miloR - R package implementation of Milo for testing for differential abundance in KNN graphs

datadoubleconfirm - Simple datasets and notebooks for data visualization, statistical analysis and modelling - with write-ups here: http://projectosyo.wix.com/datadoubleconfirm.

Network-Intrusion-Detection-Using-Machine-Learning - A Novel Statistical Analysis and Autoencoder Driven Intelligent Intrusion Detection Approach