arthurdjn / geoserver-py

Unofficial GeoServer python client. Manage workspaces, permissions, upload vectors, rasters and more.

hei, I'm arthurdjn 🍁

I'm Arthur Dujardin, a deep learning engineer specialized in computer vision based in Paris, FR. I enjoy experimenting from latest research papers and designing engaging and creative AI applications.

I am interested in computer vision, natural language processing, reinforcement learning, and generative models applied to healthcare, space or arts. I contribute to open source projects or sometimes I build my own during my free time.

geoserver-py's Issues

Split tests in multiple files

We should split tests in multiple files so that it is easier to read, maintain or add new tests without blowing the file size. Currently all tests are in one file but it is not so convenient if we want to cover more test cases.

Deleted package detected

I'm a Cyber Security researcher and developer of PackjGuard [1] to address open-source software supply chain attacks.

Issue

During my research, I detected a deleted package in this repository.

Details

Specifically, the package geoserver-py mentioned in file README at line 70 does not exist on the public PyPI registry. A bad actor can hijack this package to propagate malicious code.

Impact

Not only your apps/services using https://github.com/arthurdjn/geoserver-py repo code are vulnerable to this attack, but the users of your open-source Github repo could also fall victim.

You could read more about such attacks here: https://medium.com/@alex.birsan/dependency-confusion-4a5d60fec610

Remediation

Please highlight this in file README and register a placeholder package for geoserver-py on public PyPI soon to remediate.

To automatically fix such issues in future, please install PackjGuard Github app [1].

Thanks!

1. PackjGuard is a Github app that monitors your repos 24x7, detects vulnerable/malicious/risky open-source dependencies, and creates pull requests for auto remediation: https://github.com/marketplace/packjguard

Add advanced tutorials for styling

Add advanced tutorials with ready to use data to style rasters (color ramps, values, etc.) automatically through python.