google-maps-at-88-mph VS basemap

Compare google-maps-at-88-mph vs basemap 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)

basemap

Plot on map projections (with coastlines and political boundaries) using matplotlib (by matplotlib)
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google-maps-at-88-mph basemap
4 1
122 763
- 0.7%
2.6 9.4
over 2 years ago about 2 months 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.
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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.

basemap

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

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

pynimate - Python package for statistical data animations

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

plotai - PlotAI - Your Ultimate Plotting Assistant! 📊🤖 Use ChatGPT-3.5 to create plots in Python and Matplotlib directly in your Python script or notebook.

googlemaps-scraper - Google Maps reviews scraping

chartify - Python library that makes it easy for data scientists to create charts.

red-dot

MapTilesDownloader - A super easy to use map tiles downloader built using Python

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

mini-map-maker - A tool for automatically generating 3D printable STLs from freely available lidar scan data.

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

bokeh - Interactive Data Visualization in the browser, from Python