pip install metatab==0.8.2

Data format for storing structured data in spreadsheet tables

Source
Among top 50% packages on PyPI.
Over 1.9K downloads in the last 90 days.

Commonly used with metatab

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

ttp

Template Text Parser

pandas-td

Pandas extension for Treasure Data

friendlysam

Toolbox for optimization-based modelling and simulation.

pywikibase

Python package to handle Wikibase DataModel

poretools

A toolset for working with nanopore sequencing data

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.

mysqltsv

TSV Reader for the MySQL dialect.

dialog-watson-client

Client for dialog watson module

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

skggm

Gaussian graphical models for scikit-learn.

pypwt

Python package for generating the Penn World Tables data set.

jupyterlab-git

A server extension for JupyterLab's git extension

matminer

matminer is a library that contains tools for data mining in Materials Science

jupyterlab-widgets

A JupyterLab extension.

mwreverts

A set of utilities for detecting reverts in MediaWiki revisions.

DataSpyre

Spyre makes it easy to build interactive web applications,and requires no knowledge of HTML, CSS, or Javascript.

Version usage of metatab

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

0.8.2

8.82%

0.8.0

4.57%

0.8.1

4.36%

0.7.16

3.68%

0.7.9

3.57%

0.7.11

3.57%

0.7.14

3.52%

0.7.12

3.52%

0.7.6

3.52%

0.7.5

3.47%

0.7.15

3.47%

0.6.10

3.41%

0.7.7

3.41%

0.7.4

3.41%

0.6.14

3.41%

0.6.15

3.41%

0.6.16

3.41%

0.6.9

3.36%

0.7.3

3.36%

0.7.10

3.36%

0.7.0

3.36%

0.6.13

3.36%

0.6.18

3.36%

0.6.11

3.36%

0.6.19

3.31%

0.6.12

3.31%

0.7.1

3.31%