A simple WhatsApp Chat Analyzer ( for both Private & Group chats ), made with ❤️

Now with concurrency support !!!

Chat + Analyze = chanalyze

• I was interested in learning how much time I'm spending on WhatsApp or in which conversation I'm more or less involved/ attached or at which part of day I'm more involved in Chatting etc.
• So I'm writing these scripts for analyzing WhatsApp Chat ( both Private & Group ), which can easily be exported into a *.txt file from WhatsApp Mobile Application.
• That *.txt is parsed, cleaned & objectified, so that it can be analyzed with ease.
• Using this tool, now I can understand each minute I spent on a certain Chat ( or may be how someone else spent ) or how many times someone started a conversation ( which might be a good indicator of interest of participant(s) towards Chat )
• For sake of Privacy test data file(s), which were used for plotting following chart(s), are kept private. Also Contact Name(s)/ Number(s) are partially grayed.

• Install chanalyze from PyPI

$ python3 -m pip install --user chanalyze

• Make sure you've added $HOME/.local/bin to your $PATH environment variable
• Export target Whatsapp chat into *.txt file, while omitting media.
• Now analyze your exported WhatsApp chat(s), using chanalyze

• Total Contribution of Chat Participants
• Hourly Contribution of Chat Participants
• Activity of Chat Participants on every Minute of Day
• Activeness of Chat
• Conversation Initializing Chat Participant Identification ( using Mean & Median Delay ) - Reflecting Participant's interest towards Chat
• Top Emojis used in Chat
• Chat Activity HeatMap
• Word Cloud from Messages