gw VS hap.py

Compare gw vs hap.py and see what are their differences.

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gw hap.py
2 2
132 392
- 1.0%
9.5 0.0
2 days ago 5 months ago
C++ C++
MIT License 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.

gw

Posts with mentions or reviews of gw. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-03-21.

hap.py

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

What are some alternatives?

When comparing gw and hap.py you can also consider the following projects:

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

megahit - Ultra-fast and memory-efficient (meta-)genome assembler

constraints - Tools for programming with ConstraintKinds in GHC

GenomicSQLite - Genomics Extension for SQLite

scat - Password scatterer. Eliminates password reuse by generating deterministically unique passwords for each service (website, email address, etc.), all from a single password.

seq - A high-performance, Pythonic language for bioinformatics

deeplabel - A cross-platform desktop image annotation tool for machine learning

truvari - Structural variant toolkit for VCFs

sbv - SMT Based Verification in Haskell. Express properties about Haskell programs and automatically prove them using SMT solvers.

Vcflib - C++ library and cmdline tools for parsing and manipulating VCF files with python and zig bindings

yolo_annotation_tool - Annotation tool for YOLO in opencv