Metadata-Version: 2.1
Name: chata
Version: 0.1.0
Summary: A library for analysis and visualization of WhatsApp chats
Home-page: https://github.com/kmaork/chata
Author: Maor Kleinberger
Author-email: kmaork@gmail.com
License: UNKNOWN
Description: # Chata
        Visualize WhatsApp chats and groups with ease 🏄
        
        ## Installation
        ```bash
        pip install chata
        ```
        
        ## How to use
        1. Export chat to text format
           1. Enter the chat thread that you want to export
           2. Tap the `More options` button, represented as three vertical dots, in the top right of your screen
           3. Then hit `More`
           4. Then tap `Export Chat`
           5. When asked, choose `WITHOUT MEDIA`
           6. After a moment, you'll be prompted to share the exported files.
             
              Get the .txt file to the device that will run chata (you can discard any other files)
        2. Run Chata
           - To show all visualizations, run `chata show <path_to_exported.txt>`
           - To save visualizations to a directory, run `chata save <path_to_exported.txt> <output_dir>`
        
        ## Example outputs
        ![](images/Leaderboard.png)
        ![](images/FrequentHours.png)
        ![](images/CommonIntervals.png)
        ![](images/FrequentDays.png)
        ![](images/PeopleOverTime.png)
        ![](images/MessagesPerDay.png)
        ![](images/MostActive.png)
        ![](images/AverageMessagesOverTimeInGroup.png)
        
Keywords: whatsapp library analysis visualization
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Programming Language :: Python :: 3.8
Classifier: Programming Language :: Python :: 3.9
Classifier: Topic :: Software Development :: Libraries :: Python Modules
Requires-Python: >=3.6
Description-Content-Type: text/markdown; charset=UTF-8
