Analysis updated 2026-07-17 · repo last pushed 2021-05-24
Watch a live graph of sensor readings (like temperature or humidity) streamed over serial from an Arduino
Plot a robot's actual motor speed against its target speed to debug motor control code
Visualize real-time data from any microcontroller or embedded device without writing your own plotting code
Debug hardware projects faster by seeing live data instead of reading raw numbers in a console
| peng-zhihui/serialchart | dipodidae/resume | ruanyf/notes | |
|---|---|---|---|
| Stars | 636 | 25 | 22 |
| Language | Makefile | Makefile | Makefile |
| Last pushed | 2021-05-24 | — | 2026-06-07 |
| Maintenance | Dormant | — | Maintained |
| Setup difficulty | easy | moderate | easy |
| Complexity | 2/5 | 2/5 | 1/5 |
| Audience | developer | general | general |
Figures from each repo's GitHub metadata at analysis time.
Prebuilt binaries are available in the Release folder, no compilation required to get started.
SerialChart is a tool that lets you visualize real-time data from hardware devices on your computer screen. If you're working with microcontrollers, sensors, or any device that sends data over a serial connection (like an Arduino or Raspberry Pi), this app displays that incoming data as live, moving graphs, like an oscilloscope you'd find in an electronics lab, but for your serial data stream. The software is built using Qt, a framework for creating desktop applications that work smoothly across Windows, Mac, and Linux. You don't need to compile anything yourself, there are ready-to-use versions in the project's Release folder that you can download and run immediately. The project also includes a PDF guide explaining how to configure the tool to work with your specific setup. This would be useful for anyone debugging hardware or experimenting with embedded systems. For example, if you're building a sensor that reads temperature and humidity, you could pipe that data to SerialChart and watch the temperature graph spike up and down in real time as you move the sensor around. Or if you're tuning a robot's motor control, you could plot the actual motor speed against the target speed to see how well your code is working. It's the kind of tool that saves hours of frustration by letting you see what your device is actually doing, rather than just guessing based on raw numbers printed to a console. The readme mentions this is a port of an earlier open-source project, built on top of existing work to make a more polished version. It's straightforward to get started, extract the downloaded file and run it.
SerialChart is a cross-platform desktop app that plots real-time data from serial-connected hardware like Arduinos as live moving graphs, like an oscilloscope for your serial data.
Mainly Makefile. The stack also includes C++, Qt, Makefile.
Dormant — no commits in 2+ years (last push 2021-05-24).
License terms are not described in the explanation, check the repository directly before use.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.