Philosophy

Databuild is an alternative to more complex and complete packages like pandas, numpy, and R.

It’s aimed at users that are not necessarily data scientist and are looking to a simpler alternative to such softwares.

It’s admittely less performant than those and is not optimized for huge datasets. But Databuild is much easier to get started with.

The general principles in Databuild are:

• Low entry barrier
• Easy to install
• Easy to grasp
• Extensible

Databuild can be useful for scenarios such as:

• Documenting data transformations in your infoviz project
• Automate data processing in a declarative way