Julia wrapper for the Data Retriever software
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README.md

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Retriever

Julia wrapper for the Data Retriever software.

Data Retriever automates the tasks of finding, downloading, and cleaning up publicly available data, and then stores them in a local database or as .csv files. Simply put, it's a package manager for data. This allows data analysts to spend a majority of their time in analysing rather than in cleaning up or managing data.

Installation

To use Retriever, you first need to install Retriever, a core python package.

Database Management Systems

Depending on the database management systems you wish to use, follow the Setting up servers documentation of the retriever. You can change the credentials to suit your server settings.

The Retriever Julia package depends on a few Julia packages that will be installed automatically.

Ensure that Pycall is using the same Python path where the retriever Python package is installed.

You can change that path to a desired path as below.

julia> ENV["PYTHON"]="Python path where the retriever python package is installed"
# Build Pycall to enable the use of the new path
Pkg.build("PyCall")

To install Retriever Julia package

julia> Pkg.add("Retriever")

To install from Source, download or checkout the source from the github page.

Go to Retriever.jl/src. Run Julia.

julia> include("Retriever.jl")

To create docs

julia --color=yes make.jl

or simply

julia make.jl

(Note: If you want help in installing Julia you can follow this tutorial

Acknowledgments

Development of this software is funded by the Gordon and Betty Moore Foundation's Data-Driven Discovery Initiative through Grant GBMF4563 to Ethan White and started as Shivam Negi's Google Summer of Code