pip install pyani==0.2.11

pyani provides a package and script for calculation of genome-scale average nucleotide identity.

Source
Among top 50% packages on PyPI.
Over 3.0K downloads in the last 90 days.

Commonly used with pyani

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

pystackreg

Python implementation of the ImageJ/FIJI Plugin TurboReg/StackReg

lineup-widget

Wrapper around the LineUp.js library for multi attribute rankings

sidecar

A sidecar output widget for JupyterLab

perspective-python

Python bindings and JupyterLab integration for Perspective

tribad

Python binding to the triangle library

gFlex

One- and two-dimensional plate bending, designed for Earth's lithosphere

pvl

Python implementation of PVL (Parameter Value Language)

gapi

Simple utilties to explore the Gnip search API

pyvistaqt

pyvista qt plotter

vecstack

Python package for stacking (machine learning technique)

sklearn-deap

Use evolutionary algorithms instead of gridsearch in scikit-learn.

pygccxml

Python package for easy C++ declarations navigation.

cooltools

Analysis tools for genomic interaction data stored in .cool format

ipycache

Defines a %%cache cell magic in the IPython notebook to cache results of long-lasting computations in a persistentpickle file.

knowledge-repo

A workflow for contributing company knowledge, in the form of RMarkdowns, iPythons, and Markdowns, rendered and organized to magnify research impact across teams and time

catboost

Catboost Python Package

panedr

Read and manipulate Gromacs energy files

illumina-utils

A library and collection of scripts to work with Illumina paired-end data (for CASAVA 1.8+).

pyvista

Easier Pythonic interface to VTK

Version usage of pyani

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

0.2.11

24.04%

0.2.10

19.58%

0.2.0.post1

5.88%

0.2.3

5.88%

0.2.9

5.04%

0.2.7

4.50%

0.2.8

4.16%

0.2.5

3.96%

0.2.6

3.93%

0.1.3.2

3.90%

0.2.4

3.90%

0.2.0

3.90%

0.1.3.1

3.83%

0.2.1

1.95%

0.2.2

1.91%

0.2.0.dev0

1.85%

0.2.1.dev0

1.81%