Anonymization Tool

An open-source Dataset Anonymization Tool

How to Run Our Tool

1. Docker Compose Installation

NOTE: Docker must be installed on your computer/server for this tool.
Docker Installation Instructions: here.

*Operating Systems

1. If you are a Mac or Windows user:
   You are done! Docker compose in already installed along with your docker.
2. If you are a Linux user:
   Docker-compose Installation Instruction: here. (Only for Linux User)

2. Launch Our Tool

1. Make sure you have docker-compose installed
2. Download the code from our github repository
3. Go the the directory with docker-compose.yml, run docker-compose up
   Note that the initial attempt of running this command will take several minutes to build the image. After the first build, it will be faster.
4. Visit our tool at localhost:8000 with your browser.

Repository Directory

├── Dockerfile          # Docker configuration file.
├── LICENSE.txt         # License
├── README.md           # README File
├── app                 # Flask App Folder
│   └── code            
│       ├── boot.sh             # boot script of backend container
│       ├── db.py               # Database interfaces
│       ├── flaskapp_uwsgi.ini  # uwsgi Configure for Flask 
│       ├── log                 # Backend Logs Folder
│       ├── server.py           # Flask Backend web server
│       └── templates           # Frontend Files
├── config              # Configuration folder
│   ├── eps.conf                # Configuration file for nginx
│   └── requirements.txt        # Python Requirements file  
├── dataset         # Folder to put csv dataset
├── docker-compose.yml      # Docker compose configuration file
└── robots.txt      # Robot rule