Comment by rcpt
For magnet levitation project I am dumping data to a csv on a rpi and then reading it over ssh onto matplotlib on my desktop. It works but it choppy. Probably because of the ssh.
Could I drop rerun into this to improve my monitoring?
For magnet levitation project I am dumping data to a csv on a rpi and then reading it over ssh onto matplotlib on my desktop. It works but it choppy. Probably because of the ssh.
Could I drop rerun into this to improve my monitoring?
From "Show HN: We open-sourced our [rpi CSV] compost monitoring tech" https://news.ycombinator.com/item?id=42201207 :
Nagios, Collectd, [Prometheus], Grafana
From "Preview of Explore Logs, a new way to browse your logs without writing LogQL" https://news.ycombinator.com/item?id=39981805 :
> Grafana supports SQL, PromQL, InfluxQL, and LogQL.
From https://news.ycombinator.com/item?id=40164993 :
> But that's not a GUI, that's notebooks. For Jupyter integration, TIL pyqtgraph has jupyter_rfb, Remote Frame Buffer: https://github.com/vispy/jupyter_rfb
pyqtgraph: https://github.com/pyqtgraph/pyqtgraph
Matplotlib can generate GIF and WEBM (and .mp4) animations, but not realtime.
ManimCE might work in notebooks, but IDK about realtime
Genesis is fast enough by FPS for faster than realtime 3D with Python (LuisaRender) and a GPU: https://github.com/Genesis-Embodied-AI/Genesis
Yes! Rerun can definitely make your life a lot easier!
Rerun natively supports the server and the viewer being on different devices (https://rerun.io/docs/reference/sdk/operating-modes). In your case, in the script you are dumping data into csv, I'd add the relevant lines to log data to rerun.
On the desktop side, you can spawn a viewer that can listen to the stream and visualize it.