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A Monitoring Tool for TOR Network

Project description


TrackTor is a platform independent tool that provides statistical and analytical data tracked from the tor services exercised by the end user. Some of the highlighting features of TrackTor include detailed Bandwidth, Connections and Resources usage information, Event Logs details and many more. TrackTor finds its significance and wide usage with respect to professional commercial and research work ongoing in the field of Deep/Dark web. It is an enhanced and versatile Graphical User Interface (GUI) based implementation, providing it an edge over the previously existing contemporary monitoring tools.

TrackTor Features

General Features

  1. Graphical User Interface
  2. Platform Independent
  3. User Friendly


  1. Relay Information
  2. Node Information
  3. Bandwidth Graph (Uploads & Downloads Data)
  4. Connections Graph (Inbound & Outbound Connections)
  5. Resources Graph (CPU & RAM Usage)
  6. Logging of Events and Option to Save Selected Log Information
  7. New Identity Creation
  8. Edit and Configure Torrc (Tor's Configuration File)
  9. Setting Configurations
  10. Connect/ Disconnect Tor

Features in Detail

  1. Detailed Connections Information
  2. Detailed Resources Information

Technologies Used in Development

  1. Frontend (GUI) - PyQT5, Pyqtgraph

  2. Backend - Python3, Stem API

    Python Modules & Libraries Used

    1. psutil,
    2. getpass
    3. sqlite3
    4. threading
    5. numpy
    6. collections
    7. functools
    8. argparse
    9. pycountry
    10. time, datetime, Calendar

Getting Started with TrackTor

Step 1 : Download and Setup Python on System (Python3+ Recommended)

Step 2 : Download Tor Browser from It is the easiest and most common method to exercise TOR Network.

Step 3 : Copy the following command and run it in your native Terminal (CMD for Windows), Replace 'x' with your pip version (pip/pip3),

$ pipx install TrackTor

Step 4 : Open/Run Tor Browser

Step 5 : Type and Run the following on Terminal,

$ TrackTor

Step 6 : Hurray! You have successfully setup TrackTor on your system.

About the Developers

Institute : Malaviya National Institute of Technology

Department : Computer Science & Engineering


  1. Harsh Gandhi -
  2. Ritu Karela -
  3. Parul Agrawal -

Mentor : Dr. Pilli Emmanuel Shubhakar -

Project details

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TrackTor-2.0.1.tar.gz (1.9 MB view hashes)

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Built Distribution

TrackTor-2.0.1-py3-none-any.whl (1.9 MB view hashes)

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