Question 1

How do I find the best Python GIS library in Awesome GIS?

Accepted Answer

Navigate to the 'Geospatial Library' section and look under 'Python' for a curated list of libraries like GDAL, GeoPandas, and Rasterio, but note that you'll need to research each one separately for suitability.

Question 2

What's the difference between Awesome GIS and the GIS tools listed in Awesome Python?

Accepted Answer

Awesome GIS is a comprehensive, geospatial-specific directory covering software, data, and learning resources across all languages, while Awesome Python's GIS section is limited to Python tools and lacks broader categories like remote sensing or spatial databases.

Question 3

How can I contribute a new tool to Awesome GIS?

Accepted Answer

Follow the Contributing Guidelines linked in the README, which involve submitting a pull request on GitHub with the resource added to the appropriate category, ensuring it meets the project's quality standards.

Question 4

Are there free satellite imagery datasets in this list?

Accepted Answer

Yes, check the 'Data' section for open data sources, and the 'Deep Learning Datasets' subsection includes links to satellite imagery collections for machine learning, though availability and formats vary.

Question 5

How often is Awesome GIS updated?

Accepted Answer

Updates depend on community contributions; the GitHub badge shows the last commit date, but there's no fixed schedule, so some sections may be more current than others.

Question 6

Does Awesome GIS include mobile GIS SDKs for cross-platform development?

Accepted Answer

Yes, the 'Mobile Develop Tools' section lists SDKs for Android, iOS, and cross-platform frameworks like React Native, but you'll need to evaluate compatibility and features for your specific use case.

Awesome GIS

What is Awesome GIS?

Overview

Use Cases

Best For

Related Projects

Found a gem we're missing?

Not Ideal For

Pros & Cons

Pros

Cons

Frequently Asked Questions