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Installation

datatools is a collection of command line programs run from a shell like Bash.

Compiled version

This is generalized instructions for a release.

Compiled versions are available for Mac OS X (amd64 and M1 processor, macos-amd64 and macos-arm64), Linux (amd64 process, linux-amd64), Windows (amd64 and arm64 processor, windows-amd64 and windows-arm64) and Rapsberry Pi (arm7 processor, raspbian-arm7)

VERSION_NUMBER is a symantic version number (e.g. v0.1.2)

For all the released version go to the project page on Github and click latest release

https://github.com/caltechlibrary/datatools/releases/latest

Platform Zip Filename
Windows datatools-VERSION_NUMBER-windows-amd64.zip
Windows datatools-VERSION_NUMBER-windows-arm64.zip
Mac OS X datatools-VERSION_NUMBER-macos-amd64.zip
Mac OS X datatools-VERSION_NUMBER-macos-arm64.zip
Linux/Intel datatools-VERSION_NUMBER-linux-amd64.zip
Raspbery Pi OS datatools-VERSION_NUMBER-raspberry_pi_os-arm7.zip

The basic recipe

Mac OS

  1. Download the zip file
  2. Unzip the zip file
  3. Copy the executables to $HOME/bin (or a folder in your path)
  4. Make sure the new location in in our path
  5. Test

Here’s an example of the commands run in the Terminal App after downloading the zip file.

Intel (amd64) Hardware

    cd Downloads/
    unzip datatools-*-macos-amd64.zip
    mkdir -p $HOME/bin
    mv -v bin/* $HOME/bin/
    export PATH=$HOME/bin:$PATH
    csvfind -version

ARM64 (arm64) Hardware

    cd Downloads/
    unzip datatools-*-macos-arm64.zip
    mkdir -p $HOME/bin
    mv -v bin/* $HOME/bin/
    export PATH=$HOME/bin:$PATH
    csvfind -version

Windows

(Assumes you’re working from Bash as provided by Linux Subsystem for Windows)

  1. Download the zip file
  2. Unzip the zip file
  3. Copy the executables to $HOME/bin (or a folder in your path)
  4. Test

Here’s an example of the commands run in from the Bash shell on Windows 10 after downloading the zip file.

Intel (amd64) Hardware

    cd Downloads/
    unzip datatools-*-windows-amd64.zip
    mkdir -p $HOME/bin
    mv -v bin/* $HOME/bin/
    export PATH=$HOME/bin:$PATH
    csvfind -version

ARM64 (arm64) Hardware

    cd Downloads/
    unzip datatools-*-windows-arm64.zip
    mkdir -p $HOME/bin
    mv -v bin/* $HOME/bin/
    export PATH=$HOME/bin:$PATH
    csvfind -version

Linux

  1. Download the zip file
  2. Unzip the zip file
  3. Copy the executables to $HOME/bin (or a folder in your path)
  4. Test

Here’s an example of the commands run in from the Bash shell after downloading the zip file.

    cd Downloads/
    unzip datatools-*-linux-amd64.zip
    mkdir -p $HOME/bin
    cp -v bin/* $HOME/bin/
    export PATH=$HOME/bin:$PATH
    csvfind -version

Raspberry Pi

Released version is for a Raspberry Pi 2 or later use (i.e. requires ARM 7 support).

  1. Download the zip file
  2. Unzip the zip file
  3. Copy the executables to $HOME/bin (or a folder in your path)
  4. Test

Here’s an example of the commands run in from the Bash shell after downloading the zip file.

    cd Downloads/
    unzip datatools-*-raspberry_pi_os-arm7.zip
    mkdir -p $HOME/bin
    cp -v bin/* $HOME/bin/
    export PATH=$HOME/bin:$PATH
    csvfind -version

Compiling from source

datatools is “go gettable” if you have previously gotten xlsx v1.0.5 package from github.com/tealeg/xlsx. The datatools package does not support versions v2.x and greater of xlsx. Below are the steps I use today with “go get” command to download the dependant packages as well as datatools’s source code.

Setting up the right version of xlsx for datatools

    cd
    go get github.com/tealeg/xlsx
    cd src/github.com/tealeg
    git checkout v1.0.5
    cd

Using go get to install datatools using v1.0.5 of xlsx.

    go get github.com/caltechlibrary/datatools/...

Or clone the repository and then compile

    cd
    git clone https://github.com/caltechlibrary/datatools src/github.com/caltechlibrary/datatools
    cd src/github.com/caltechlibrary/datatools
    make
    make test
    make install