ims VS causaldag

Compare ims vs causaldag and see what are their differences.

ims

📚 Introduction to Modern Statistics - A college-level open-source textbook with a modern approach highlighting multivariable relationships and simulation-based inference. For v1, see https://openintro-ims.netlify.app. (by OpenIntroStat)

causaldag

Python package for the creation, manipulation, and learning of Causal DAGs (by uhlerlab)
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ims causaldag
2 1
827 133
0.2% 0.0%
9.4 0.0
1 day ago about 1 year ago
JavaScript JavaScript
GNU General Public License v3.0 or later 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.

ims

Posts with mentions or reviews of ims. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-10-12.

causaldag

Posts with mentions or reviews of causaldag. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-01-31.
  • Any methods or tools for virtual gene knock-out in single cell RNA seq data?
    2 projects | /r/bioinformatics | 31 Jan 2022
    I am interested in finding out bioinformatically, a causal relationship between an upstream gene (Notch2) and a transcription factor downstream. Is there any other tool other than scTenifoldpy, to perform a virtual knock-down of genes of interest and see which other genes are affected? Is there also any other tool than causaldag that can help infer causal relationships between gene expressions?

What are some alternatives?

When comparing ims and causaldag you can also consider the following projects:

android_ims

causalnex - A Python library that helps data scientists to infer causation rather than observing correlation.

infernal-engine - A Tool to Build NodeJS and Web Based Expert Systems

scTenifoldpy - A python package implements scTenifoldnet and scTenifoldknk

stat-cookbook - :orange_book: The probability and statistics cookbook

doubango - Doubango VoIP framework

tests-as-linear - Common statistical tests are linear models (or: how to teach stats)

jasp-desktop - JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS

statistical-rethinking - A repository for working through the Bayesian statistics book "Statistical Rethinking" by Richard McElreath.

textbook - The textbook Computational and Inferential Thinking: The Foundations of Data Science