google-maps-at-88-mph VS felicette

Compare google-maps-at-88-mph vs felicette and see what are their differences.

google-maps-at-88-mph

Google Maps keeps old satellite imagery around for a while – this tool collects what's available for a user-specified region in the form of a GIF. (by doersino)
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google-maps-at-88-mph felicette
4 1
122 1,774
- -
2.6 0.7
over 2 years ago about 2 years 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.
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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.

felicette

Posts with mentions or reviews of felicette. 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 felicette you can also consider the following projects:

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

opentopodata - Open alternative to the Google Elevation API!

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

whitebox-python - WhiteboxTools Python Frontend

red-dot

pylandtemp - Algorithms for computing global land surface temperature and emissivity from NASA's Landsat satellite images with Python.

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

Redistricting - QGIS Plugin containing tools for electoral delimitation

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

mapa - Create 3d-printable STLs from satellite 🌍 elevation data