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tablib pythonic tabular datasets tablib 0 12 1 documentation navigation index modules next tablib 0 12 1 documentation tablib pythonic tabular datasets release v0 12 1 installation tablib is an mit licensed format agnostic tabular dataset library written in python it allows you to import export and manipulate tabular data sets advanced features include segregation dynamic columns tags filtering and seamless format import export data tablib dataset headers first name last name age for i in kenneth reitz 22 bessie monke 21 data append i print data export json last name reitz first name kenneth age 22 last name monke first name bessie age 21 print data export yaml age 22 first name kenneth last name reitz age 21 first name bessie last name monke data export xlsx censored binary data data export df first name last name age 0 kenneth reitz 22 1 bessie monke 21 testimonials national geographic digg inc northrop grumman discovery channel and the sunlight foundation use tablib internally greg thorton tablib by kennethreitz saved my life i had to consolidate like 5 huge poorly maintained lists of domains and data it was a breeze dave coutts it s turning into one of my most used modules of 2010 you really hit a sweet spot for managing tabular data with a minimal amount of code and effort joshua ourisman tablib has made it so much easier to deal with the inevitable i want an excel file requests from clients brad montgomery i think you nailed the python zen with tablib thanks again for an awesome lib user s guide this part of the documentation which is mostly prose begins with some background information about tablib then focuses on step by step instructions for getting the most out of your datasets introduction philosophy mit license tablib license pythons supported installation installing tablib download the source quickstart creating a dataset adding rows adding headers adding columns importing data exporting data selecting rows columns removing rows columns advanced usage dynamic columns filtering datasets with tags separators development design considerations source control adding new formats testing tablib continuous integration building the docs api reference if you are looking for information on a specific function class or method this part of the documentation is for you api dataset object databook object functions exceptions about tablib tablib is an mit licensed format agnostic tabular dataset library written in python it allows you to import export and manipulate tabular data sets advanced features include segregation dynamic columns tags filtering and seamless format import export feedback feedback is greatly appreciated if you have any questions comments random praise or anonymous threats useful links the tablib website tablib pypi tablib github issue tracker this page show source quick search