mapa-streamlit VS hottest-panchayats-kerala

Compare mapa-streamlit vs hottest-panchayats-kerala and see what are their differences.

hottest-panchayats-kerala

Figuring out what the hottest villages in Kerala are with the help of Microsoft's Planetary Computer (by shijithpk)
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mapa-streamlit hottest-panchayats-kerala
1 1
13 10
- -
4.3 2.9
6 months ago about 1 year ago
Python Jupyter Notebook
MIT License The Unlicense
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.

mapa-streamlit

Posts with mentions or reviews of mapa-streamlit. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-03-17.

hottest-panchayats-kerala

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

What are some alternatives?

When comparing mapa-streamlit and hottest-panchayats-kerala you can also consider the following projects:

gedcom-to-visualmap - Using GEDCOM in Python, build a map using Folium (heat and line) or kml. It will Geocode different types of places and allow you to update those discovered addresses with GPS values. Includes GUI interface

gr-satellites - GNU Radio decoder for Amateur satellites

streamlit-geospatial - A multi-page streamlit app for geospatial

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

streamlit - Streamlit — A faster way to build and share data apps.

streamlit-folium - Streamlit Component for rendering Folium maps

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