Hi Daniel, a warm welcome to the mailing list!
You can start developing on the UI using the cli tool in our installer [1]. (Currently in the dev branch) I’d suggest you use the lite version (‘sp set-template lite') and run a local StreamPipes instance on your computer (‘sp set-template lite'). The code for the UI is in [2] in the ui folder. Check out the repository and navigate to the folder. Then run ’npm install’ and ’npm start’. (This might take a while) Afterwards you can navigate to ‘localhost:8082’ in your browser and you can start developing. Cheers, Philipp [1] https://github.com/apache/incubator-streampipes-installer <https://github.com/apache/incubator-streampipes-installer> [2] https://github.com/apache/incubator-streampipes <https://github.com/apache/incubator-streampipes> On 2020/03/24 10:54:12, Daniel Ebi <e...@fzi.de> wrote: > Hey there,> > my name is Daniel and I would like to contribute to Apache StreamPipes > project. Therefore I recently joined this dev mailing list.> > > About me> > I study Information Engineering and Management in the Master's program - with > focus on Machine Learning and Artificial Intelligence - at Karlsruhe > Institute of Technologie (KIT). Additionally, I work as a student assistant > at the FZI in Karlsruhe in order to gain some practical experience in > research. There I got in contact with StreamPipes and became interested in > the project. In the course of my studies I already gathered much experience > in the Machine Learning and Data Science domain.> > > What are my current ideas for Apache StreamPipes?> > Specifically, I would like to develop a labeling feature for Apache > StreamPipes that allows users to label time series data easily and > intuitively (like the image labeling tool of Johannes [1]). My idea is to > extend the line chart of the data explorer in such a way that one or more > labels can be added by simply marking the data points of interest. The > visualization of the data is thereby used as a basis for the labeling, and > the labelled data can be afterwards illustrated with colored overlays, too. > The long-term goal is to ensure that the data labelled in this way can be > used as a starting point for machine learning procedures.> > > I will be very happy to hear about your suggestions about my plans. Thanks in > advance.> > > Best regards,> > Daniel Ebi> > > ________________________________> > [1] > https://issues.apache.org/jira/projects/STREAMPIPES/issues/STREAMPIPES-78?filter=allopenissues> > > >
