sarusso/timeseria repository overview

⁠Timeseria

Timeseria is an object-oriented time series processing library which aims at making it easy to manipulate time series data and to build statistical and machine learning models on top of it. Check out the GitHub project for more info: Timeseria on GitHub⁠.

This Docker container comes with all Timeseria dependencies and a Jupyter Notebook server as default entry-point.

To run it:

docker run -it -p8888:8888 sarusso/timeseria

Then, as usual with Jupyter, head to localhost:8888 in your favourite web browser.

You will find the container preloaded with the notebooks from the Timeseria-notebooks repository. To use your own ones, run:

docker run -it -p8888:8888 -v$PWD:/notebooks sarusso/timeseria

...which will use your current location as notebooks folder.

You can customize the default directory for notebooks inside the container wiht the BASE_DIR environment variable, e.g. BASE_DIR=/ will cause the Jupyter Notebook server to show all the contents from the root folder (inside of the container). Also the port where the Jupyter Notebook server is started on can be customized, using the BASE_PORT environment variable.

If you instead want to us this Docker container as an environment without using Jupyter, you can override the default entry-point by just adding a command of your choince as first argument of the container. For opening a bash shell, for example:

docker run -it -p8888:8888 sarusso/timeseria /bin/bash

You can get started with Timeseria by reading the quickstart⁠ or the welcome⁠ notebooks, or you can run them interactively from the Timeseria-notebooks⁠ repository, where other example notebooks are provided as well. Also the reference documentation⁠ might be useful.