pip install varcode==1.0.3

Variant annotation in Python

Source
Among top 10% packages on PyPI.
Over 7.6K downloads in the last 90 days.

Commonly used with varcode

Based on how often these packages appear together in public requirements.txt files on GitHub.

mhctools

Python interface to running command-line and web-based MHC binding predictors

serializable

Base class with serialization helpers for user-defined Python objects

pyensembl

Python interface to ensembl reference genome metadata

mhcnames

Python library for MHC nomenclature parsing

typechecks

Helper functions for runtime type checking

tinytimer

Tiny Python benchmarking library

sercol

Rich collection class with grouping and filtering helpers

datacache

Helpers for transparently downloading datasets

isovar

Determine mutant protein sequences from RN using assembly around variants

mhcflurry

MHC Binding Predictor

pyviz

How to solve visualization problems with Python tools.

geoindex

Simple library for perform quick nearby search for geo spatial data.

matplotlib-scalebar

Artist for matplotlib to display a scale bar

cfchecker

The NetCDF Climate Forecast Conventions compliance checker

negspy

Python NGS tools

pybbi

Python bindings to UCSC Big Binary (bigWig/bigBed) file library

pyanyzip

pyanyzip is a module to help with dealing with compressed files transparently

shellinford

Wavelet Matrix/Tree succinct data structure for full text search (using shellinford C++ library)

sunpy-sphinx-theme

The sphinx theme for the SunPy website and documentation.

Version usage of varcode

Proportion of downloaded versions in the last 3 months (only versions over 1%).

1.0.3

11.72%

1.0.2

2.36%

1.0.1

2.32%

1.0.0

2.15%

0.9.2

2.15%

0.9.4

2.15%

0.9.3

2.12%

0.9.0

2.11%

0.8.0

2.10%

0.9.1

2.08%

0.5.15

1.98%

0.7.0

1.74%

0.6.3

1.73%

0.5.12

1.73%

0.6.6

1.73%

0.5.11

1.70%

0.5.9

1.70%

0.5.10

1.70%

0.5.13

1.70%

0.5.14

1.69%

0.5.4

1.57%

0.5.8

1.56%

0.5.7

1.56%

0.4.16

1.56%

0.5.3

1.56%

0.4.12

1.56%

0.4.18

1.56%

0.4.15

1.54%

0.4.17

1.54%

0.4.19

1.54%

0.4.7

1.54%

0.5.1

1.54%

0.5.0

1.54%

0.4.14

1.53%

0.3.18

1.53%

0.4.3

1.52%

0.4.0

1.50%

0.4.5

1.50%

0.4.6

1.50%

0.4.1

1.50%

0.5.2

1.49%

0.4.4

1.49%

0.4.2

1.48%