geospatialdatascience VS 30-day-map-challenge

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

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geospatialdatascience 30-day-map-challenge
14 2
460 71
- -
0.0 8.2
11 months ago 4 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.

geospatialdatascience

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

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.

What are some alternatives?

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

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

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

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

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

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

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

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

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

felicette - Satellite imagery for dummies.

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

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

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