scvi-tools
Deep probabilistic analysis of single-cell and spatial omics data (by scverse)
rwrap
Seamlessly integrate R packages into Python. (by kpj)
| scvi-tools | rwrap | |
|---|---|---|
| 2 | 3 | |
| 1,131 | 21 | |
| 2.6% | - | |
| 9.4 | 1.9 | |
| 6 days ago | about 1 year ago | |
| Python | Python | |
| BSD 3-clause "New" or "Revised" 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.
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.
scvi-tools
Posts with mentions or reviews of scvi-tools.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-10-03.
- Error with scvi
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python for bioinformatics
I use both but I prefere python, its much easier for huge datasets, and a lot of useful tools are only available on python: https://github.com/YosefLab/scvi-tools
rwrap
Posts with mentions or reviews of rwrap.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-02-18.
-
python for bioinformatics
R? Python? why not both? https://github.com/kpj/rwrapthere are many wrappers on both sides. Programming language is a tool and it should be a matter of choice, not a restriction.
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For computational biology/bioinformatics, do I really need to be proficient in both Python and R? Or can I just pick one (I'm thinking Python 3) and then just specialize in it?
rwrap could potentially help simplify writing these rpy2 wrappers. Here's an example of how it can work.
What are some alternatives?
When comparing scvi-tools and rwrap you can also consider the following projects:
seurat - R toolkit for single cell genomics
disentangling-vae - Experiments for understanding disentanglement in VAE latent representations
benchmark_VAE - Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
DALLE-mtf - Open-AI's DALL-E for large scale training in mesh-tensorflow.
sanbomics_scripts - scripts and notebooks from sanbomics
Roundtrip - Roundtrip: density estimation with deep generative neural networks