process-monitoring
There are 2 repositories under process-monitoring topic.
- nvitop
XuehaiPan / nvitop
An interactive NVIDIA-GPU process viewer and beyond, the one-stop solution for GPU process management.
Language:Python 4022 - Language:C 769
- Language:C++ 318
- Language:C 231
- Language:C 57
ColinIanKing / pagemon
Pagemon is an interactive memory/page monitoring tool allowing one to browse the memory map of an active running process.
Language:C 30EaseFilterSDK / mini-filter-driver-framework
A mini filter driver development framework allows you to develop minit filter driver with different features.
Language:C# 28winwinashwin / PySleuth
Advanced spyware controlled by email/telegram. Includes keylogging, mouse activity with position and screenshot, screenshots and processes running.
Language:Python 28- Language:OCaml 25
cheap-glitch / why-is-node-still-running
🏃 Find out exactly why Node is still running.
Language:TypeScript 23- Language:Vue 20
sensu-plugins / sensu-plugins-process-checks
This plugin provides native process instrumentation for monitoring and metrics collection, including: process status, uptime, thread count, and others.
Language:Ruby 20- Language:C 17
File security filter driver SDK, implemented with a Windows file system filter driver framework. It allows you to implement file audit, file access control, file protection and encryption Windows applications.
Language:C# 13antonfisher / utop
CLI tool for single process monitoring written in Node.js
Language:JavaScript 10Code-XYZxyz / real-time-interferometric-measurement-control-for-photopolymer-additive-manufacturing
This is a comprehensive MATLAB-based software platform developed for real-time measurement and feedback control of a custom mask-projection photopolymerization based additive manufacturing system (referred as "ECPL", i.e., Exposure Controlled Projection Lithography) using a lab-built interferometry (referred as "ICM&M", i.e., Interferometric Curing Monitoring and Measurement). A graphical user interface using the graphical user interface development environment (GUIDE) of MATLAB was created to implement the ICM&M method for the ECPL process. The software interfaces with the hardware of the ECPL system’s ultraviolet lamp and DMD, and the ICM&M system’s camera. It was designed to streamline the operation of the ECPL process with the aid of parallel computing that implements online both the ICM&M acquisition and measurement analysis as well as the feedback control method. The application logs the acquired interferogram video data, performs numerical computations for the ICM&M measurement algorithms and control law, saves the real-time data and measurement results for all voxels in the region of interest. Meanwhile, it displays interferogram frames and visualize the photocuring process without a substantial sacrifice in temporal performance of other key functions such as data acquisition and measurement & control analysis. The software could be extended to real-time process measurement and control for other additive manufacturing systems, for example, metal based additive manufacturing aided by in-situ thermal images analysis.
Language:MATLAB 8ML-PSE / Fluid-Catalytic-Cracking-Unit-Dataset-for-Process-Monitoring-Evaluation
Datasets from a fluid catalytic cracking unit to evaluate FDD techniques
Language:Jupyter Notebook 8abdulkadir-gungor / Process_Monitoring_Tools
It is a program written in Python3 in order to facilitate process analysis and to easily access Windows process tools. In this way, it facilitates malware analysis processes. In addition, processes running in the background can be detected. After the program is started, it continues to run in the background. Afterwards, the tools can be accessed on the system tray.
Language:Python 7vigneashpandiyan / Additive-Manufacturing-Transfer-Learning
Deep transfer learning of additive manufacturing mechanisms across materials in metal-based laser powder bed fusion process
Language:Python 7Intika-Linux-Firewall / Tomoyo-Application-Firewall
Tomoyo Akari CCS Queryd Gui - Using Zenity - Ask Question With Gui Window (ccs-queryd-gui)
Language:C 5LegendaryB / ProcessMonitoring
Library to monitor process starts and stops on Windows powered by C#
Language:C# 5Vulnware / GPM
GPM (Go Processes Manager) is a command-line tool for managing processes on your server or local machine. With GPM, you can start, stop, restart, and monitor processes.
Language:Go 5alexanderjeurissen / tmux-process-indicator
Tmux plugin that enables displaying process indicators in the tmux status line.
Language:Shell 3manciuszz / Auto-PowerConfig
A tool written (FOR POWER USERS) in AutoHotkey to programmatically control PC performance using popular tools such as 'ThrottleStop', 'RivaTuner Statistics Server' and the less popular 'SilentOption' (Exclusive for MSI laptops).
Language:AutoHotkey 3- Language:Python 3
archd3sai / Multivariate-Phase-1-Analysis
Objective of this project is to identify the in-control data points and eliminate out of control data points to set up distribution parameters for manufacturing process monitoring. I utilized PCA for dimension reduction and Hotelling T2 and m-CUSUM control charts to established mean and variance matrices.
Language:HTML 2shyamjos / supervisor.py
A simple supervisord like python script for monitoring a process
Language:Python 2In Situ Quality Monitoring in Direct Energy Deposition Process using Co-axial Process Zone Imaging and Deep Contrastive Learning
Language:Python 2amithkoujalgi / sys-stats
An open-source Python tool to provide system stats over a web interface.
Language:HTML 1hsujeremy / ios-activity-monitor
An iOS app that displays device process information
Language:Swift 1Integrate Tomoyo CCS Into KDE KSystemGuard And SystemMonitor
Language:C++ 1ivanDonadello / LTL-prescriptive-process-monitoring
A prescriptive (outcome-based) process monitoring system that provides users with temporal recommendations among activities to perform in an ongoing process
Language:Python 1mpokojovy / TS.chart.1D
Univariate Fast Initial Response Statistical Process Control with Taut Strings
Language:MATLAB 1Sensor selection for process monitoring based on deciphering acoustic emissions from different dynamics of the Laser Powder Bed Fusion process using Empirical Mode Decompositions and Interpretable Machine Learning
Language:Python 1Deep learning-based monitoring of laser powder bed fusion process on variable time-scales using heterogeneous sensing and operando X-ray radiography guidance
Language:Python 1franziskusz / dodge-r
Part of a project to evaluate the Rust bindings for the Godot Engine (gdext)
Language:Rust
