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a build tool for data

Project description

make for your data.

An automation tool for data manipulation.

Inspired by Open Refine.

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


Install databuild:

$ pip install databuild


For more details, see the Extended Documentation.

$ buildfile.json

buildfile.yaml contains a list of operations to be performed on data. Think of it as a script for a spreadsheet.

An example of build file could be:

- operation: sheets.import_data
  description: Importing data from csv file
    sheet: dataset1
    format: csv
    filename: dataset1.csv
    skip_last_lines: 1
- operation: columns.add_column
  description: Calculate the gender ratio
    sheet: dataset1
    name: Gender Ratio
      language: python
      content: "return float(row['Totale Maschi']) / float(row['Totale Femmine'])"
- operation: sheets.export_data
  description: save the data
    sheet: dataset1
    format: csv
    filename: dataset2.csv

JSON buildfiles are also supported. databuild will guess the type based on the extension.


Licensed under BSD 3-clauses.

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