Stellaris Data Visualization

Paradox's excellent game Stellaris data file viaualization project.

DDS to PNG

Stellaris use non-compressed .dds file to save image. I forked python package pilgrim and add functions to facilitate processing.

https://github.com/yiyuezhuo/pilgrim

then call dds_to_png.py as:

dds_to_png_map(input_path, output_path)

Technology Dependency Force Graph

Created by d3.js.

Update by yourself!

I may not always follow the update of Stellaris. If you enjoy the work and want to keep up-to-date to newest, you can do it by following steps:

0. You should install Python 3.x and Node.js (Well, Node is strange in this case since python is enough to do all stuffs compare to the confusing mixing. The reason is when I start to write the project, I try to practice Node skill at the same time. So a ugly separation may be done.).

1. Install python package pilgrim, sadly although I have pushed the update to pip maintainer and he merged it. But the pip version seems old and don't work in python3. You should install the newest version from GitHub(https://github.com/yiyuezhuo/pilgrim).

2. Run python dds_to_png_cli.py root_path root_output_path. (You can find help description by running python dds_to_png_cli --help.). You will get hundreds png files that will be used in the final graph.

3. Modify config.json. The attribution stellaris-path is your Stellaris installation root path. Another attribution localFile is localization file that you want to use. English is default value.

4. Running node jsonp.js that take config.json generate jsonpData.js that is a JSONP data file will be used in final graph.