streamlit-geospatial VS geemap

Compare streamlit-geospatial vs geemap and see what are their differences.

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streamlit-geospatial geemap
8 17
806 3,207
1.7% 2.2%
0.0 9.2
21 days ago 5 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.

streamlit-geospatial

Posts with mentions or reviews of streamlit-geospatial. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-04-17.

geemap

Posts with mentions or reviews of geemap. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2023-05-22.

What are some alternatives?

When comparing streamlit-geospatial and geemap you can also consider the following projects:

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

traingenerator - 🧙 A web app to generate template code for machine learning

opentopodata - Open alternative to the Google Elevation API!

mapa-streamlit - Streamlit web app 🎈 for creating 3D-printable models of the earth 🌍 surface based on mapa

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

natural-earth-vector - A global, public domain map dataset available at three scales and featuring tightly integrated vector and raster data.

Awesome-GEE - A curated list of Google Earth Engine resources

component-template - Templates and example code for creating Streamlit Components

flood-sim - This repo simulates water flooding.

SecondBrain - SecondBrain is your second brain in the cloud, designed to easily store and retrieve unstructured information. It's like Obsidian but powered by generative AI.

awesome-spectral-indices - A ready-to-use curated list of Spectral Indices for Remote Sensing applications.