30-day-map-challenge VS geospatialdatascience

Compare 30-day-map-challenge vs geospatialdatascience and see what are their differences.

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30-day-map-challenge geospatialdatascience
2 14
69 449
- -
8.2 0.0
4 months ago 11 months ago
Jupyter Notebook Jupyter Notebook
- Creative Commons Attribution 4.0
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

30-day-map-challenge

Posts with mentions or reviews of 30-day-map-challenge. We have used some of these posts to build our list of alternatives and similar projects.

geospatialdatascience

Posts with mentions or reviews of geospatialdatascience. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing 30-day-map-challenge and geospatialdatascience you can also consider the following projects:

CardMap - Code to plot cardmarket orders on a map to show where my MtG cards ended up

landuse_without_buildings - OpenStreetMap: Find residential areas with too few buildings in them

adjustText - A small library for automatically adjustment of text position in matplotlib plots to minimize overlaps.

geospatial-data-catalogs - A list of open geospatial datasets available on AWS, Earth Engine, Planetary Computer, NASA CMR, and STAC Index

machine_learning_complete - A comprehensive machine learning repository containing 30+ notebooks on different concepts, algorithms and techniques.

osmnx-examples - Gallery of OSMnx tutorials, usage examples, and feature demonstations.

chicago-trees-analysis - How many trees has Chicago planted? And where?

app - Prototype toolkit for sustainable urban design at the speed of thought.

PythonDataScienceHandbook - Python Data Science Handbook: full text in Jupyter Notebooks

felicette - Satellite imagery for dummies.

prettymaps - A small set of Python functions to draw pretty maps from OpenStreetMap data. Based on osmnx, matplotlib and shapely libraries.

osmnx - OSMnx is a Python package to easily download, model, analyze, and visualize street networks and other geospatial features from OpenStreetMap.