ClimateEconomics
A Python package to evaluate the effect of energy way of production on climate change and macro-economy.
https://github.com/os-climate/witness-core
Category: Sustainable Development
Sub Category: Sustainable Investment
Last synced: about 5 hours ago
JSON representation
Repository metadata
Evaluate climate change impact
- Host: GitHub
- URL: https://github.com/os-climate/witness-core
- Owner: os-climate
- License: apache-2.0
- Created: 2022-01-13T16:01:42.000Z (about 4 years ago)
- Default Branch: main
- Last Pushed: 2026-01-19T08:01:03.000Z (about 1 month ago)
- Last Synced: 2026-01-21T04:22:03.384Z (about 1 month ago)
- Language: Python
- Homepage:
- Size: 206 MB
- Stars: 18
- Watchers: 3
- Forks: 13
- Open Issues: 2
- Releases: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
- Notice: NOTICE
README.md
[!IMPORTANT]
On June 26 2024, Linux Foundation announced the merger of its financial services umbrella, the Fintech Open Source Foundation (FINOS), with OS-Climate, an open source community dedicated to building data technologies, modeling, and analytic tools that will drive global capital flows into climate change mitigation and resilience; OS-Climate projects are in the process of transitioning to the FINOS governance framework; read more on finos.org/press/finos-join-forces-os-open-source-climate-sustainability-esg
ClimateEconomics - witness-core
Description
ClimateEconomics is the Python package to evaluate the effect of energy way of production on climate change and macro-economy.
Prerequisite
In order to satisfy dependencies, following prerequisites need to be satisfied:
- deployment of gems package and its requirements (see requirements.txt of gems package)
- deployment of energy_models package and its requirements (see requirements.txt of energy_models package)
- deployment of sostrades_core_package and its requirements (see requirements.txt of sostrades_core_package package)
- libraries in requirements.txt
The following command can be used to install the package listed in requirements.txt
$$pip install -r requirements.txt --trusted-host pypi.org --trusted-host files.pythonhosted.org$$
Overview
This package contains the following disciplines:
- agiculture, to determine the area taken by food to feed humanity
- resources (coal, gas, oil, uranium), to evaluate to quantity left and the extraction price of resources.
- carboncycle, to take into account the natural cycle of carbon
- carbonemissions, to evaluate the quantity of CO2 emitted
- damagemodel, to evaluate the impact of environmental damage on the economy
- macroeconomics, the evaluate different indicator of the global economy
- policymodel, to evaluate the price of the CO2 taxes
- population, to evaluate the global population
- tempchange, to evaluate the change of temperature
- utility, to evaluate the utility
For more information, please look at the documentation associated.
Models are in core folder. Disciplines and associated documentations are in sos_wrapping folder.
To create a documentation associated to a discipline, create a documentation folder in sos_wrapping/discipline_folder and name the documentation file as the discipline file, disc_file_name.markdown.
Processes(couple several disciplines) and usecases(process with specific inputs) are in sos_processes folder.
To run a usecase, run usecase.py file as Python run.
Associated tests are in tests folder.
l0 tests are unitary tests. They are used for stand alone disciplines and models.
l1 tests are used to test gradient computation of disciplines and usecases.
l2 tests are used to test gradient computation of process.
To run a test, run test.py file as Python unit-test.
To run all test, use the command nose2 .
documentation folder gives details about the optimisation problem formulation.
Contributing
Communicating with the SoSTrades team
Looking at the future
Regionalisation
At the moment, results given by Witness process and the different models are global results which are an average over the world.
In order to have more accuracy, we want to add regionalisation aspect. The first step is to propose a regionalisation continent by continent.
License
The witness-core source code is distributed under the Apache License Version 2.0.
A copy of it can be found in the LICENSE file.
The witness-core product depends on other software which have various licenses.
The list of dependencies with their licenses is given in the CREDITS.rst file.
Owner metadata
- Name: OS-Climate
- Login: os-climate
- Email: admin@os-climate.org
- Kind: organization
- Description: Open Source Solutions to Enable Climate-Smart Investing
- Website: os-climate.org
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/85121681?v=4
- Repositories: 30
- Last ynced at: 2023-03-05T01:24:00.508Z
- Profile URL: https://github.com/os-climate
GitHub Events
Total
- Delete event: 8
- Pull request event: 2
- Watch event: 6
- Push event: 631
- Create event: 137
Last Year
- Delete event: 4
- Watch event: 3
- Push event: 256
- Create event: 75
Committers metadata
Last synced: 4 days ago
Total Commits: 4,462
Total Committers: 59
Avg Commits per committer: 75.627
Development Distribution Score (DDS): 0.841
Commits in past year: 72
Committers in past year: 6
Avg Commits per committer in past year: 12.0
Development Distribution Score (DDS) in past year: 0.458
| Name | Commits | |
|---|---|---|
| perrotcap | a****t@c****m | 711 |
| benherry | b****y@c****m | 287 |
| BEKKALI Yasser | N****3@e****p | 271 |
| Yasser BEKKALI | y****i@c****m | 256 |
| Marie MORERE | m****e@a****m | 234 |
| Valentin JONCQUIERES | v****l@a****m | 229 |
| Julien Souchard | N****2@T****p | 226 |
| Marie-Audrey Gueylard | m****l@a****m | 197 |
| b4pm-devops | b****s@c****m | 197 |
| FLORIO Thomas | N****C@e****p | 180 |
| Colin MIETKA | c****l@a****m | 166 |
| Nicolas Peuzin | n****l@a****m | 159 |
| BEKKALI | y****l@a****m | 134 |
| PEUZIN Nicolas | N****E@e****p | 122 |
| Anahid Ghazanfarpour | a****y@c****m | 114 |
| Simão Rodrigues | s****s@c****m | 109 |
| Carlos Ortega | c****l@c****m | 98 |
| Administrator Jenkins | j****s@a****m | 96 |
| GOYON Guillaume | g****n@c****m | 72 |
| SOUCHARD Julien | N****2@e****p | 71 |
| Magali Parrino | m****o@a****m | 59 |
| Valentin Joncquieres | v****s@c****m | 44 |
| Marie Morere | 9****e | 37 |
| carlin | c****l@a****m | 33 |
| fadwaouniss | f****s@c****m | 31 |
| Pierre-Jean Barjhoux | p****x@a****m | 30 |
| NG87A63 | N****3@T****p | 29 |
| FELLOUSSI | m****i@c****m | 23 |
| TCHUISSEU FONGANG Carlin | S****8@e****p | 21 |
| MORERE Marie | M****M@e****p | 18 |
| and 29 more... | ||
Committer domains:
- airbus.com: 17
- capgemini.com: 16
- eu.airbus.corp: 9
- sostrades.org: 2
- linuxfoundation.org: 1
- toll302045506.tls.fr.eu.airbus.corp: 1
- cap.com: 1
- tolx302087231.tls.fr.eu.airbus.corp: 1
- tolx302085985.tls.fr.eu.airbus.corp: 1
Issue and Pull Request metadata
Last synced: 2 months ago
Total issues: 3
Total pull requests: 20
Average time to close issues: N/A
Average time to close pull requests: 12 days
Total issue authors: 1
Total pull request authors: 9
Average comments per issue: 0.67
Average comments per pull request: 0.7
Merged pull request: 13
Bot issues: 0
Bot pull requests: 2
Past year issues: 0
Past year pull requests: 5
Past year average time to close issues: N/A
Past year average time to close pull requests: 3 days
Past year issue authors: 0
Past year pull request authors: 4
Past year average comments per issue: 0
Past year average comments per pull request: 0.2
Past year merged pull request: 1
Past year bot issues: 0
Past year bot pull requests: 1
Top Issue Authors
- MichaelTiemannOSC (2)
Top Pull Request Authors
- MichaelTiemannOSC (8)
- eloquet (4)
- simaosr (4)
- ModeSevenIndustrialSolutions (4)
- pre-commit-ci[bot] (3)
- perrotcap (2)
- cap-dpeltre (2)
- kmarinushkin (1)
- b4pm-devops (1)
Top Issue Labels
Top Pull Request Labels
- documentation (1)
Dependencies
- matplotlib ==3.4.3
- nose2 ==0.9.1
- numpy ==1.20.3
- pandas ==1.3.0
- plotly ==5.3.0
- scikit-learn >=0.24.2
- scipy ==1.7.1
- seaborn ==0.9.0
- matplotlib ==3.4.3
- nose2 ==0.9.1
- nose2 >=0.9.1
- numpy ==1.20.3
- pandas ==1.3.0
- plotly ==5.3.0
- scikit-learn >=0.24.2
- scipy ==1.7.1
- seaborn ==0.9.0
- sos-trades-core *
Score: 7.073269717459711