This project is created to visualize the system statistics such as memory usage, CPU usage, memory accessible by process and much more using Kibana Dashboard with Elasticsearch.

Last update: Feb 06, 2022

Overview

System Stats Visualizer

This project is created to visualize the system statistics such as memory usage, CPU usage, memory accessible by process and much more using Elasticsearch with Kibana.

Installation

Requirements: Python, Elasticsearch, Kibana

Create a Virtual Environment:

pip install pyenv
pyenv install 3.9.7
pyenv virtualenv system-stats-env
pyenv local system-stats-env

Install requirements using: pip install -r requirements.txt

Install Elasticsearch for your system, click here to check the instruction for your system.

Install Kibana for your system, click here to check the instruction for your system.

Starting the project

Start elasticsearch and kibana service dependig on your OS.

Go to project folder and execute: python system-info.py

Now visit kibana service at http://localhost:5601

Go to Menu > Stack Management > Saved Object and click import to import dashbord preset from your project folder named export.ndjson

To view the dashboard go to Menu > Dashboard > System_Info

Stats update every 5 seconds, click refresh to check the latest stats.

You can modify the dashboard by clicking create visualization.

This project is created to visualize the system statistics such as memory usage, CPU usage, memory accessible by process and much more using Kibana Dashboard with Elasticsearch.

Related tags

Overview

System Stats Visualizer

Installation

Starting the project

Dashboard Preview

Hope you like it.

Owner

Vishal Teotia

Generate a 3D Skyline in STL format and a OpenSCAD file from Gitlab contributions

EPViz is a tool to aid researchers in developing, validating, and reporting their predictive modeling outputs.

A workshop on data visualization in Python with notebooks and exercises for following along.

🎨 Python3 binding for `@AntV/G2Plot` Plotting Library .

nptsne is a numpy compatible python binary package that offers a number of APIs for fast tSNE calculation.

Bar Chart of the number of Senators from each party who are up for election in the next three General Elections

Statistical data visualization using matplotlib

The open-source tool for building high-quality datasets and computer vision models

Complex heatmaps are efficient to visualize associations between different sources of data sets and reveal potential patterns.

Glue is a python project to link visualizations of scientific datasets across many files.

DrawBot lets you draw images taken from the internet on Skribbl.io, Gartic Phone and Paint

Practical-statistics-for-data-scientists - Code repository for O'Reilly book

Piglet-shaders - PoC of custom shaders for Piglet

I've demonstrated the working of the decision tree-based ID3 algorithm. Use an appropriate data set for building the decision tree and apply this knowledge to classify a new sample. All the steps have been explained in detail with graphics for better understanding.

Visualization of hidden layer activations of small multilayer perceptrons (MLPs)

Python library that makes it easy for data scientists to create charts.

Data aggregated from the reports found at the MCPS COVID Dashboard into a set of visualizations.

A Jupyter - Three.js bridge

A Python package for caclulations and visualizations in geological sciences.

Learning Convolutional Neural Networks with Interactive Visualization.