Backend analytics to link together disparate data

Here’s a list of Python platforms that are officially supported.

• Python 3.5 (Latest)
• Python 3.4

$ git clone https://github.com/qadium-memex/linkalytics.git

This repository contains some large filed stored using Git (Large File System) LFS.

Git Large File Storage (LFS) replaces large files such as audio samples, videos, datasets, and graphics with text pointers inside Git, while storing the file contents on a remote server.

Instructions for installing Git LFS

After installing LFS, to retrieve the text pointers with the actual files runha.

$ git lfs pull

$ pip3 install -r requirements.txt

Also it is necessary to install the dependencies pandas and scipy

$ pip3 install scipy pandas

Currently we utilize Disque as a distributed work queue.

To install disque, ensure that you have a proper C Compiler installed and grab the repository

$ git clone https://github.com/antirez/disque.git

Make and install binaries

make && make install

Or use sudo if necessary

make && sudo make install

See Qadium's credstmpl github repository for installation instructions.

Also, please note this requires AWS credentials.

$ credstmpl linkalytics/environment/*.j2

$ gem install foreman

$ foreman run

Interactive documentation for the Linkalytics API can be found here.

For more information about generating a client or server, check out swagger project