A lightweight sensor data visualization and analysis tool.
Screenshot
Features
3D View and Filtering
2D View and Filtering
Dependence
Python modules
- dash
- dash-daq
- dash-bootstrap-components
- gunicorn
- flask
- numpy
- pandas
- redis
- kaleido
Redis
Usage
Save data as the .pkl
files under ./data
directory. See ./data/Example
.
Put the config.json
in the same directory, and sepcify the columns
of the data in config.json
. Check ./data/Example/config.json
.
Local
$ redis-server
$ python app.py
- Open
http://127.0.0.1:8050/
Docker
$ docker pull redis
$ docker pull rookeiepng/sensorview
$ docker run --name redis -d redis
$ docker run -it -p 8000:8000 -v <path/to/your/data>:/usr/src/app/data --link redis:redis rookiepeng/sensorview
- Open
http://127.0.0.1:8000/
2 Comments
Nkorni Katte · February 24, 2021 at 2:03 pm
Dear Dr. Peng,
I will like to test this software.
Kind regards,
N. Katte
Zhengyu Peng · February 24, 2021 at 7:55 pm
Hi, Nkorni,
I haven’t had time put a detail documentation on this, but this is an open source project and you can find the source code here: https://github.com/rookiepeng/sensorview
You can also find the docker build here: https://hub.docker.com/repository/docker/rookiepeng/sensorview