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