Real-time CPU and memory monitor to measure and visualize resources consumption in homemade projects. This is a simple project inspired by a question from StackOverflow: https://stackoverflow.com/questions/41133281/better-way-to-implement-matplotlib-animation-with-live-data-from-cpu

How to run

1. Make sure that you have Python and virtualenv installed
2. Run virtualenv into project's folder and use pip to install requirements.txt
3. pip install -r requirements
4. Run the script as depicted below.

Usage

python monitor.py <memory_notation> <pid_file>

where memory_notation:

k = kilobytes

m = megabytes

g = gigabytes

otherwise = bytes

Example for self-saving PID in Java 8 or before

// this snippet was tested only on Linux
int savePid(String filepath) {
  int pid = Integer.parseInt(new File("/proc/self").getCanonicalFile().getName());
  File tmp = new File(filepath);
  tmp.write(pid);
  return pid;
}