eo-learn vs styrofoam

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eo-learn		styrofoam
	Project
7	Mentions	1
1,078	Stars	2
0.5%	Growth	-
8.8	Activity	0.0
3 months ago	Latest Commit	about 3 years ago
Python	Language	Python
MIT License	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.

eo-learn

Posts with mentions or reviews of eo-learn. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2022-11-05.

What are examples of well-organized data science project that I can see on Github?
6 projects | /r/datascience | 5 Nov 2022

I like ours https://github.com/sentinel-hub/eo-learn but of course I am biased
Machine Learning free courses online for earth science - suggestions?
2 projects | /r/remotesensing | 18 Feb 2022

Sentinel Hub's eo-learn
World Mosaic Time-lapse 2020 [3020 × 1510] [OC]
3 projects | /r/earthfromabove | 13 Oct 2021

Overall description of used tools: - python: eo-learn and sentinelhub-py - gdal for GIS related stuff - ray for cluster computing
Transitioning from NLP to satellite and image based CV
1 project | /r/datascience | 4 Jun 2021

If you are joining a not small company they probably already have this, but an example is https://github.com/sentinel-hub/eo-learn which is specific to a certain set of satellite data products.
Land Cover Classification of Istanbul, Turkey [4965x 2512]
1 project | /r/earthfromabove | 5 May 2021

Yes, `eo-learn` is just a collection of the existing tools you mention, which harmonizes the workflow for a specific task. Feel free to open ticket on eo-learn github if you have any questions! :)
[OC] Vegetation of Africa 2019
1 project | /r/dataisbeautiful | 4 Feb 2021

* Python packages [sentinelhub-py](https://github.com/sentinel-hub/sentinelhub-py) and [eo-learn](https://github.com/sentinel-hub/eo-learn)
[OC] Earth in a year (2019 True-Color Sentinel-2 L2A data)
2 projects | /r/dataisbeautiful | 2 Feb 2021

Tools: - Python packages sentinelhub-py and eo-learn - GDAL 3.2

styrofoam

Posts with mentions or reviews of styrofoam. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-01-22.

Code i wrote when i was 13. All i remember is that i gave up
2 projects | /r/StackOverRoast | 22 Jan 2021

Opps that's the wrong one. Here's the correct one: https://github.com/dullbananas/styrofoam

What are some alternatives?

When comparing eo-learn and styrofoam you can also consider the following projects:

gdal - GDAL is an open source MIT licensed translator library for raster and vector geospatial data formats.

TF-Watcher - Monitor your ML jobs on mobile devices📱, especially for Google Colab / Kaggle

ml4eo-bootcamp-2021 - Machine Learning for Earth Observation Training of Trainers Bootcamp

flask - The Python micro framework for building web applications. [Moved to: https://github.com/pallets/flask]

Made-With-ML - Learn how to design, develop, deploy and iterate on production-grade ML applications.

phosphorus - Basic regex-based WSGI framework

cpython - Alternative StdLib for Nim for Python targets, hijacks Python StdLib for Nim

falcon - The no-magic web data plane API and microservices framework for Python developers, with a focus on reliability, correctness, and performance at scale.

pywsitest - PYthon WebSocket Integration TESTing framework

Flask - The Python micro framework for building web applications.

eemeter - An open source python package for implementing and developing standard methods for calculating normalized metered energy consumption and avoided energy use.