I will build a real time data visualization dashboard in pyqt or qt qml


About this gig
Turn raw data into a dashboard people actually want to look at.
Spreadsheets and log files don't tell a story. A well-built desktop dashboard does showing trends, flagging anomalies, and giving your team a single screen to monitor what matters.
I build data visualization and monitoring dashboards using Python (PyQt5/PyQt6, PyQtGraph, Matplotlib) and C++ (Qt/QML), designed for continuous, 24/7 operation without slowing down or freezing.
Good fit for:
- Lab and scientific monitoring tools
- Data logging and historical trend dashboards
- Business/operations dashboards for internal tools
- Test equipment and measurement interfaces
What you get:
- Clean interface built around your data, not a generic template
- Real-time charts and graphs that update without lag
- Optional historical logging and export (CSV/database)
- Stable, threaded architecture for long-running use
Why me :- Electronics & Computer Science graduate with hands-on factory automation experience I've built dashboards that ran continuously in production, not just demos.
Process :- confirm requirements, build with progress updates, deliver source code and usage notes.
Get to know Aruna W.
PCB Designer and Embedded GUI Developer
- FromSri Lanka
- Member sinceSep 2025
- Avg. response time1 hour
Languages
English
FAQ
Do I need to already have my data in a specific format?
No- CSV, JSON, database, or live data feeds all work. Tell me your source and I'll confirm the approach.
Can this connect to a live data source instead of static files?
Yes - that's typically a Standard or Premium scope depending on the source and update frequency.
Will it run on Windows, Mac, and Linux?
PyQt-based apps are cross-platform by default. I'll confirm target OS(es) with you before starting.
Can you match my company's branding/colors?
Yes, share a style reference or brand colors and I'll incorporate them.

