Data-Visualisation-Facebook-Chat | Python Script to visualise your facebook chat
kandi X-RAY | Data-Visualisation-Facebook-Chat Summary
kandi X-RAY | Data-Visualisation-Facebook-Chat Summary
Data-Visualisation-Facebook-Chat is a Python library. Data-Visualisation-Facebook-Chat has no bugs, it has no vulnerabilities and it has low support. However Data-Visualisation-Facebook-Chat build file is not available. You can download it from GitHub.
Python Script to visualise your facebook chat with your friend
Python Script to visualise your facebook chat with your friend
Support
Quality
Security
License
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Support
Data-Visualisation-Facebook-Chat has a low active ecosystem.
It has 14 star(s) with 9 fork(s). There are no watchers for this library.
It had no major release in the last 6 months.
Data-Visualisation-Facebook-Chat has no issues reported. There are no pull requests.
It has a neutral sentiment in the developer community.
The latest version of Data-Visualisation-Facebook-Chat is current.
Quality
Data-Visualisation-Facebook-Chat has 0 bugs and 0 code smells.
Security
Data-Visualisation-Facebook-Chat has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
Data-Visualisation-Facebook-Chat code analysis shows 0 unresolved vulnerabilities.
There are 0 security hotspots that need review.
License
Data-Visualisation-Facebook-Chat does not have a standard license declared.
Check the repository for any license declaration and review the terms closely.
Without a license, all rights are reserved, and you cannot use the library in your applications.
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Data-Visualisation-Facebook-Chat releases are not available. You will need to build from source code and install.
Data-Visualisation-Facebook-Chat has no build file. You will be need to create the build yourself to build the component from source.
Data-Visualisation-Facebook-Chat saves you 11 person hours of effort in developing the same functionality from scratch.
It has 33 lines of code, 2 functions and 2 files.
It has low code complexity. Code complexity directly impacts maintainability of the code.
Top functions reviewed by kandi - BETA
kandi has reviewed Data-Visualisation-Facebook-Chat and discovered the below as its top functions. This is intended to give you an instant insight into Data-Visualisation-Facebook-Chat implemented functionality, and help decide if they suit your requirements.
- Write chatdata to a csv file
- Count the number of messages grouped by date .
Get all kandi verified functions for this library.
Data-Visualisation-Facebook-Chat Key Features
No Key Features are available at this moment for Data-Visualisation-Facebook-Chat.
Data-Visualisation-Facebook-Chat Examples and Code Snippets
No Code Snippets are available at this moment for Data-Visualisation-Facebook-Chat.
Community Discussions
No Community Discussions are available at this moment for Data-Visualisation-Facebook-Chat.Refer to stack overflow page for discussions.
Community Discussions, Code Snippets contain sources that include Stack Exchange Network
Vulnerabilities
No vulnerabilities reported
Install Data-Visualisation-Facebook-Chat
You can download it from GitHub.
You can use Data-Visualisation-Facebook-Chat like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
You can use Data-Visualisation-Facebook-Chat like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.
Support
For any new features, suggestions and bugs create an issue on GitHub.
If you have any questions check and ask questions on community page Stack Overflow .
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