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An advanced system monitor utility written in Python and Qt

Project description


An advanced system monitor utility written in Python and Qt


Obserware makes monitoring of advanced metrics accessible with the use of interactive graphs and charts. It is built on free and open-source technologies such as Python, Psutil, PyCPUinfo, Distro and Qt5. With the use of the utility, you can monitor

  • Advanced overview of the system health by monitoring CPU usage, memory utilization and swapping rate
  • Granular counts of context switches, system calls and interrupts of both natures, software and hardware
  • Per-core/per-thread CPU utilization, measured in both stress percentage and active clock speeds
  • Per-core/per-thread CPU state times, measured in both occupancy percentage and duration in seconds
  • Usage/availability information, measured in both occupancy percentage and active size in megabytes
  • Storage counters, measured in unit counts, size in bytes, duration in seconds, merge counts and busy time in seconds
  • Global network statistics gathered from all network interface cards, measured in packet count rate and size rate
  • Statistics of uploads and downloads made since boot, measured in packet counts and size in bytes
  • Per-NIC activity, transfer rate in packet counts and bytes, total transmission, dropped transfers and more
  • Per-unit metrics in both, occupancy percentage and active size of physical and logical partitions
  • Static information about mount location, file system, unit name and much more of physical and logical partitions
  • Dynamic listing of processes in process IDs, names, terminal, usernames, states, CPU and memory usage and thread counts
  • Per-process information with process IDs, CPU and memory usage, CPU/thread counts, context switches and more
  • Per-process control with options to kill, resume, terminate or suspend those on demand
  • Static software information on operating system and kernel as well as dependency versions for the application
  • Static hardware information on CPU name, vendor, frequency, available feature flags and more
  • While adapting to the global system-wide theming options on Qt-based desktop environments like KDE Plasma or LXQt

Find it on

  1. PyPI
    PyPI version
  2. Fedora COPR
    Copr build status
  3. Product Hunt
    1. Vote
    2. Review


For development

Using Poetry

  1. sudo dnf install python3-poetry
  2. git clone
  3. cd obserware
  4. virtualenv venv
  5. source venv/bin/activate
  6. poetry install
  7. deactivate

For consumption

From Fedora COPR

  1. sudo dnf install dnf-plugins-core -y
  2. sudo dnf copr enable t0xic0der/obserware -y
  3. sudo dnf install obserware -y

From PyPI

  1. virtualenv venv
  2. source venv/bin/activate
  3. pip3 install obserware
  4. deactivate


For development

If installed via Poetry

  1. source venv/bin/activate
  2. obserware
  3. deactivate

For consumption

If installed from Fedora COPR

  1. Either, run obserware in a terminal
  2. Or, invoke the created desktop entry

If installed from PyPI

  1. source venv/bin/activate
  2. obserware
  3. deactivate


  1. Windows
    1. Resources tabscreen
      Find here
    2. Activities tabscreen
      Find here
    3. Performance tabscreen
      Find here
    4. Connections tabscreen
      Find here
    5. Partitions tabscreen
      Find here
    6. Information tabscreen
      Find here
    7. Contribute tabscreen
      Find here
  2. Dialogs
    1. Process information dialog
      Find here
  3. Logging
    1. Sample log outputs
      Find here

Project details

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Source Distribution

obserware-0.2.9.tar.gz (1.3 MB view hashes)

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Built Distribution

obserware-0.2.9-py3-none-any.whl (1.4 MB view hashes)

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