geemap VS flood-sim

Compare geemap vs flood-sim and see what are their differences.

Our great sponsors
  • InfluxDB - Power Real-Time Data Analytics at Scale
  • WorkOS - The modern identity platform for B2B SaaS
  • SaaSHub - Software Alternatives and Reviews
geemap flood-sim
17 1
3,196 4
2.5% -
9.2 0.0
4 days ago over 2 years ago
Python Python
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.

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.

flood-sim

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

What are some alternatives?

When comparing geemap and flood-sim you can also consider the following projects:

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

dsm2dtm - Generates DTM (Digital Terrain Model) from DSM (Digital Surface Model).

opentopodata - Open alternative to the Google Elevation API!

whitebox - WhiteboxTools Python Frontend [Moved to: https://github.com/giswqs/whitebox-python]

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

rasterio - Rasterio reads and writes geospatial raster datasets

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

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

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

geoparquet - Specification for storing geospatial vector data (point, line, polygon) in Parquet