Source code for tabular data annotator webapp hosted on Heroku, built using plotly dash.
It was originally intended for time series data, hence the repo's name.
Countless times a business expert or myself had to annotate tabular data, this solution made it faster.
- Load data from a csv (make sure csv is comma-separeted) or xlsx
- Select x-axis (datetime or numeric dtype) and y-axis (numeric dtype) to plot
- Input label value and select form color
- Draw rectangle or closed freeform in the graph to assign label
- Download results as csv file
First step to run locally is to clone the repo:
git clone https://github.com/FBruzzesi/ts-annotator.git
Install requirements.txt and then serve gunicorn server:
pip install -r requirements.txt
gunicorn --bind 127.0.0.1:8080 --pythonpath app index:server
To run the app using docker after cloning the repo, one should build the docker image and then run it:
docker build . -t ts-annotator
docker run -p 8080:8080 ts-annotator
Then go to http://localhost:8080/
Issues and feedbacks are more than welcome
