linqit VS awesome-spectral-indices

Compare linqit vs awesome-spectral-indices and see what are their differences.

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linqit awesome-spectral-indices
2 4
245 761
- 2.2%
3.5 5.9
12 months ago 6 days ago
Python Python
Apache License 2.0 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.

linqit

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

awesome-spectral-indices

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

What are some alternatives?

When comparing linqit and awesome-spectral-indices you can also consider the following projects:

PyPika - PyPika is a python SQL query builder that exposes the full richness of the SQL language using a syntax that reflects the resulting query. PyPika excels at all sorts of SQL queries but is especially useful for data analysis.

biodivMapR - biodivMapR: an R package for α- and β-diversity mapping using remotely-sensed images

Manga-Tagger - The only tool you'll need to rename and write metadata to your digital manga library

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

pytube - A lightweight, dependency-free Python library (and command-line utility) for downloading YouTube Videos.

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

fypp - Python powered Fortran preprocessor

detectree - Tree detection from aerial imagery in Python

smart-imports - smart imports for Python

TouchTerrain_for_CAGEO - Touch Terrain: A python app to create 3D printable terrain models (STL/OBJ) from only elevation data (via Google Earth Engine) or from a local geotiff. Has been used for CNC terrain models. Runs as a web app (http://touchterrain.org), as .py file (standalone.py) or as jupyter notebook. Docker image: https://github.com/ChHarding/TouchTerrain_jupyter_docker

forge - forge new function objects with reinit-ed default params

landsat8image - A simple python script that, given a location and a date, uses the Nasa Earth API to show a photo taken by the Landsat 8 satellite. The script must be executed on the command-line.