vembrane VS gwas2vcf

Compare vembrane vs gwas2vcf and see what are their differences.

vembrane

vembrane filters VCF records using python expressions (by vembrane)
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vembrane gwas2vcf
1 1
56 39
- -
8.9 0.0
about 1 month ago about 1 year ago
Python Python
MIT 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.

vembrane

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

gwas2vcf

Posts with mentions or reviews of gwas2vcf. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-09-01.
  • Nuitka: An extremely compatible Python compiler
    10 projects | news.ycombinator.com | 1 Sep 2021
    Here is the original repo I have tried to speed up using:

    python -m nuitka --clang --follow-imports main.py

    repo: https://github.com/MRCIEU/gwas2vcf

    If someone can make the program run faster by whatever means, it will make a bunch of people quite happy.

What are some alternatives?

When comparing vembrane and gwas2vcf you can also consider the following projects:

TileDB-VCF - Efficient variant-call data storage and retrieval library using the TileDB storage library.

truvari - Structural variant toolkit for VCFs

graalvm-ten-things - Top 10 Things To Do With GraalVM

pybenchmarks - Python Interpreters Benchmarks

sgkit - We've moved to https://github.com/sgkit-dev/sgkit

Hail - Cloud-native genomic dataframes and batch computing

py2many - Transpiler of Python to many other languages

Nuitka - Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 3.10, and 3.11. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.