pip install dna-features-viewer==3.1.0

Plot features from DNA sequences (e.g. Genbank) with Python

Source
Among top 50% packages on PyPI.
Over 4.8K downloads in the last 90 days.

Commonly used with dna-features-viewer

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

textdistance

Compute distance between the two texts.

fbs

Create cross-platform desktop applications with Python and Qt

cloudml-hypertune

A library to report Google CloudML Engine HyperTune metrics.

mem_top

Shows top suspects for memory leaks in your Python program.

MulticoreTSNE

Multicore version of t-SNE algorithm.

squarify

Pure Python implementation of the squarify treemap layout algorithm

lightgbm

LightGBM Python Package

vecstack

Python package for stacking (machine learning technique)

sklearn-deap

Use evolutionary algorithms instead of gridsearch in scikit-learn.

tensorflow-model-optimization

A suite of tools that users, both novice and advanced can use to optimize machine learning models for deployment and execution.

deepdish

Deep Learning experiments from University of Chicago.

ijroi

Reads ImageJ ROIs.

imgaug

Image augmentation library for deep neural networks

jupyter-lsp

Multi-Language Server WebSocket proxy for Jupyter notebook or lab server for Python 3.5+.

tdda

Test Driven Data Analysis

ipycache

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

tsfresh

tsfresh extracts relevant characteristics from time series

catboost

Catboost Python Package

mittens

Fast GloVe with optional retrofitting.

Version usage of dna-features-viewer

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

3.1.0

26.59%

3.0.3

24.84%

3.0.1

5.60%

3.0.2

4.25%

0.1.0

3.01%

0.1.3

1.85%

0.1.9

1.78%

1.0.0

1.76%

3.0

1.72%

2.5.0

1.68%

2.4

1.66%

2.2.0

1.66%

2.3.1

1.64%

2.0.0

1.64%

2.3.0

1.60%

2.0.1

1.60%

0.2.1

1.60%

0.1.5

1.58%

0.1.8

1.58%

2.0.2

1.58%

0.2.2

1.58%

0.1.1

1.58%

0.2.0

1.54%

0.1.7

1.54%

0.1.4

1.54%

0.1.6

1.54%

0.1.2a0

1.47%