pip install pug-nlp==0.1.14

Python Natural Language Processing by and for the Python User Group in Portland, OR

Source
Among top 50% packages on PyPI.
Over 2.4K downloads in the last 90 days.

Commonly used with pug-nlp

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

trackpy

particle-tracking toolkit

ConcurrentPandas

Download data using pandas with multi-threading and multi-processing.

poretools

A toolset for working with nanopore sequencing data

ttp

Template Text Parser

metatab

Data format for storing structured data in spreadsheet tables

pandas-td

Pandas extension for Treasure Data

friendlysam

Toolbox for optimization-based modelling and simulation.

nteract-scrapbook

A library for recording and reading data in Jupyter and nteract Notebooks

pandera

A light-weight and flexible validation package for pandas data structures.

pywikibase

Python package to handle Wikibase DataModel

baostock

A tool for obtaining historical data of China stock market

jupyter_dashboards

Extension for Jupyter Notebook for laying out, viewing, and deploying notebooks as dynamic dashboards

jupyter_cms

Extension for Jupyter Notebook 4.0.x with experimental content management features

jupyter_declarativewidgets

Jupyter extensions for supporting declarative widgets

cmdstanpy

Python interface to CmdStan

jupyterlab-git

A server extension for JupyterLab's git extension

Mesa

Agent-based modeling (ABM) in Python 3+

jupyterlab-widgets

A JupyterLab extension.

bhtsne

Python module for Barnes-Hut implementation of t-SNE (Cython)

Version usage of pug-nlp

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

0.1.14

8.85%

0.1.9

6.66%

0.1.7

5.13%

0.1.5

5.00%

0.1.6

4.96%

0.1.4

4.88%

0.1.7a1

4.43%

0.1.7a0

4.18%

0.1.10

3.31%

0.1.8

2.89%

0.1.1

2.52%

0.1.2

2.48%

0.1.3

2.48%

0.0.10

2.40%

0.0.8

2.40%

0.0.5

2.40%

0.0.19

2.40%

0.0.21

2.40%

0.0.17

2.40%

0.0.13

2.36%

0.1.0

2.36%

0.0.12

2.36%

0.0.9b

2.36%

0.0.2

2.32%

0.0.14

2.32%

0.0.15

2.32%

0.0.16

2.32%

0.0.20

2.32%

0.0.4

2.27%

0.0.3

2.27%

0.0.18

2.27%