An advanced system monitor utility written in Python and Qt
Project description
Obserware
An advanced system monitor utility written in Python and Qt
About
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
Installation
For development
Using Poetry
sudo dnf install python3-poetry
git clone https://gitlab.com/t0xic0der/obserware.git
cd obserware
virtualenv venv
source venv/bin/activate
poetry install
deactivate
For consumption
From Fedora COPR
sudo dnf install dnf-plugins-core -y
sudo dnf copr enable t0xic0der/obserware -y
sudo dnf install obserware -y
From PyPI
virtualenv venv
source venv/bin/activate
pip3 install obserware
deactivate
Usage
For development
If installed via Poetry
source venv/bin/activate
obserware
deactivate
For consumption
If installed from Fedora COPR
- Either, run
obserware
in a terminal - Or, invoke the created desktop entry
If installed from PyPI
source venv/bin/activate
obserware
deactivate
Screenshots
- Windows
- Performance tabscreen
Find here https://gitlab.com/t0xic0der/obserware/-/blob/main/screenshots/obsr_mainperf.png
- Processes tabscreen
Find here https://gitlab.com/t0xic0der/obserware/-/blob/main/screenshots/obsr_mainproc.png
- Connections tabscreen
Find here https://gitlab.com/t0xic0der/obserware/-/blob/main/screenshots/obsr_mainproc.png
- Partitions tabscreen
Find here https://gitlab.com/t0xic0der/obserware/-/blob/main/screenshots/obsr_mainpart.png
- Information tabscreen
Find here https://gitlab.com/t0xic0der/obserware/-/blob/main/screenshots/obsr_maininfo.png
- Contribute tabscreen
Find here https://gitlab.com/t0xic0der/obserware/-/blob/main/screenshots/obsr_maincntb.png
- Performance tabscreen
- Dialogs
- CPU cycles dialog
Find here https://gitlab.com/t0xic0der/obserware/-/blob/main/screenshots/obsr_cyclwind.png
- CPU times dialog
Find here https://gitlab.com/t0xic0der/obserware/-/blob/main/screenshots/obsr_cputwind.png
- Process information dialog
Find here https://gitlab.com/t0xic0der/obserware/-/blob/main/screenshots/obsr_procwind.png
- CPU cycles dialog
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
obserware-0.2.8.tar.gz
(1.3 MB
view details)
Built Distribution
File details
Details for the file obserware-0.2.8.tar.gz
.
File metadata
- Download URL: obserware-0.2.8.tar.gz
- Upload date:
- Size: 1.3 MB
- Tags: Source
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.1.8 CPython/3.10.2 Linux/5.15.16-200.fc35.x86_64
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 7b5e0ab33b8f86b4def06bf312c99865efb72eabe4ba26a8508fc729d76048fb |
|
MD5 | 43440bf8bb715ba1b414b93a22c0892f |
|
BLAKE2b-256 | 0ba65cd707feef53708188f3dea8fb965768c891c53e7133b1800a47892fa0b9 |
File details
Details for the file obserware-0.2.8-py3-none-any.whl
.
File metadata
- Download URL: obserware-0.2.8-py3-none-any.whl
- Upload date:
- Size: 1.4 MB
- Tags: Python 3
- Uploaded using Trusted Publishing? No
- Uploaded via: poetry/1.1.8 CPython/3.10.2 Linux/5.15.16-200.fc35.x86_64
File hashes
Algorithm | Hash digest | |
---|---|---|
SHA256 | 9038fccbfb4cf5e6681f6e987e7fd9921f37407799c305faea5cb0b4bebf8200 |
|
MD5 | ece4693820f2cd66562b6bf049fa2aa4 |
|
BLAKE2b-256 | ed7ee16ba3b642adfb2a18038153cf8dc103fc88c55fea59f249e44d54f263bf |