scanpy VS deepvariant

Compare scanpy vs deepvariant and see what are their differences.

deepvariant

DeepVariant is an analysis pipeline that uses a deep neural network to call genetic variants from next-generation DNA sequencing data. (by google)
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scanpy deepvariant
5 5
1,757 3,078
1.7% 0.9%
9.3 9.1
5 days ago about 1 month ago
Python Python
BSD 3-clause "New" or "Revised" 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.

scanpy

Posts with mentions or reviews of scanpy. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-05-23.

deepvariant

Posts with mentions or reviews of deepvariant. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-06.

What are some alternatives?

When comparing scanpy and deepvariant you can also consider the following projects:

scikit-learn - scikit-learn: machine learning in Python

galaxy - Data intensive science for everyone.

dash - Data Apps & Dashboards for Python. No JavaScript Required.

masurca

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transformers - 🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

dash-cytoscape - Interactive network visualization in Python and Dash, powered by Cytoscape.js

Biopython - Official git repository for Biopython (originally converted from CVS)

pagoda2 - R package for analyzing and interactively exploring large-scale single-cell RNA-seq datasets

af2complex - Predicting direct protein-protein interactions with AlphaFold deep learning neural network models.

getting-started-with-genomics-tools-and-resources - Unix, R and python tools for genomics and data science

slivar - genetic variant expressions, annotation, and filtering for great good.