google-maps-at-88-mph VS awesome-spectral-indices

Compare google-maps-at-88-mph vs awesome-spectral-indices and see what are their differences.

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google-maps-at-88-mph awesome-spectral-indices
4 4
122 763
- 2.5%
2.6 5.9
over 2 years ago 9 days ago
Python Python
MIT License MIT License
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.

google-maps-at-88-mph

Posts with mentions or reviews of google-maps-at-88-mph. We have used some of these posts to build our list of alternatives and similar projects.

awesome-spectral-indices

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

What are some alternatives?

When comparing google-maps-at-88-mph and awesome-spectral-indices you can also consider the following projects:

dotwiz - A blazing fast dict subclass that supports dot access notation.

biodivMapR - biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images

ODM - A command line toolkit to generate maps, point clouds, 3D models and DEMs from drone, balloon or kite images. 📷

geemap - A Python package for interactive geospatial analysis and visualization with Google Earth Engine.

googlemaps-scraper - Google Maps reviews scraping

wxee - A Python interface between Earth Engine and xarray for processing time series data

red-dot

detectree - Tree detection from aerial imagery in Python

goestools - 📡 LRIT demodulator from weather satellite GEO-KOMPSAT-2A (GK-2A).

linqit - Extend python lists operations using .NET's LINQ syntax for clean and fast coding.

localtileserver - 🌐 dynamic tile server for visualizing rasters in Jupyter with ipyleaflet or folium

TouchTerrain_for_CAGEO - Touch Terrain: A python app to create 3D printable terrain models (STL/OBJ) from only elevation data (via Google Earth Engine) or from a local geotiff. Has been used for CNC terrain models. Runs as a web app (http://touchterrain.org), as .py file (standalone.py) or as jupyter notebook. Docker image: https://github.com/ChHarding/TouchTerrain_jupyter_docker