Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Open Sustainable Technology | 1,412 | 9 hours ago | 9 | cc0-1.0 | Jupyter Notebook | |||||
A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources. | ||||||||||
Awesome Open Geoscience | 1,058 | 2 months ago | 10 | cc0-1.0 | ||||||
Curated from repositories that make our lives as geoscientists, hackers and data wranglers easier or just more awesome | ||||||||||
Awesome Rseng | 25 | 10 months ago | 1 | Shell | ||||||
A curated list of GitHub organizations that primarily serve open source or academic software projects. | ||||||||||
Awesome Open Hydrology | 13 | 3 years ago | 1 | cc0-1.0 | ||||||
Curated list of open resources that make our lives as (eco-)hydrologists easier or just more awesome | ||||||||||
Geoscience Software | 3 | 4 years ago | cc0-1.0 | |||||||
open-geoscience |
A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources.
Your contribution is essential to keep this list alive. Read more about its origin and how you can participate in the contribution guide, presentation slides and related blog post. Please write an email to give feedback, hints and ideas considering OpenSustain.tech or create an issue.
If you're looking for an entry point into domains like renewable energy, climate change, or earth science, check out the collection of tutorials in the learning section. In the discovery section, you can search all projects by metadata such as used programming languages or topics.
Analysis
This database is used as part of the study Open Source in Enviromental Sustainability. For this purpose, meta data from the listed repositories are evaluated via the tool AwesomeCure. The CSVs file can be easily read into a Pandas DataFrame using the following code:
import pandas as pd
url = 'https://github.com/protontypes/open-sustainable-technology/raw/main/analysis/csv/projects.csv'
df = pd.read_csv(url)
df.head()
Animation created with An Animated Map of the Earth by Eleanor Lutz
The artwork included in this repository are shared under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
This work and all contributions to it are released into terms of the CC0 1.0 Universal Public Domain if not otherwise noted.