DASHBOARD.log

Create a dynamic dashboard of your log files by selecting options from the given list of options.

Dashboard.log / LogBoard helps you to :

• Visualize system variables
• Helps to understand log file

LogBoard is built using Streamlit which is powered by Python and Altair.

Getting Started with LogBoard

Prerequisites

• An Operating System like Windows, OsX , Linux
• A Python Installation
• Git CLI

Installation

Clone the repo

git clone https://github.com/Cyber-Machine/dashboard.log.git

cd into the project root folder

cd dashboard.log

Create virtual environment

via python

Then you should create a virtual environment named streamlit

python -m venv streamlit

and activate the environment.

On Linux, OsX or in a Windows Git Bash terminal it's

source streamlit/Scripts/activate

or alternatively

source streamlit/bin/activate

In a Windows terminal it's

streamlit/Scripts/activate.bat

or via anaconda

Create virtual environment named streamlit

conda create -n streamlit python=3.7.4

and activate environment.

activate streamlit

Then you should install the local requirements

pip install -r requirements.txt

Build and run the Application Locally

streamlit run app.py

Contribute

The best way to contribute is via a Pull request and Github Issues

In the pull request you should make a brief description of changes made.

Thanks for your time.

Future Improvements

• Adding a Regex catcher to catch particular commands / errors in log file.
• Multi-file support, a way to integrate log reports of multi log file.