draf VS open-grid-emissions

Compare draf vs open-grid-emissions and see what are their differences.

draf

Demand Response Analysis Framework (DRAF) (by DrafProject)
decarbonization decision-support demand-response flexibility-modeling Optimization energy-system-modeling
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open-grid-emissions

Tools for producing high-quality hourly generation and emissions data for U.S. electric grids (by singularity-energy)
carbon-accounting Climate electricity emissions ghg open-data eia epa power-systems Python ghg-emissions carbon-emissions climate-change decarbonization
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draf open-grid-emissions
1 1
12 66
- -
5.0 9.2
2 months ago 6 days ago
Python Python
GNU Lesser General Public License v3.0 only 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.

draf

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

open-grid-emissions

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

What are some alternatives?

When comparing draf and open-grid-emissions you can also consider the following projects:

MLBox - MLBox is a powerful Automated Machine Learning python library.

PyPSA - PyPSA: Python for Power System Analysis

pyomo - An object-oriented algebraic modeling language in Python for structured optimization problems.

ElectricPy - Electrical Engineering Formulas in Python

Ray - Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

meteostat-python - Access and analyze historical weather and climate data with Python.

BayesianOptimization - A Python implementation of global optimization with gaussian processes.

gridstatus - Extract data from ISOs and other energy grid sources

climatemind-backend - Your climate action is here 🌎 Our API is a source for learning how climate change personally affects you and the things you care about most. Additionally, it will teach a scientifically proven method for communicating to others that climate change is a personally relevant issue to inspire action.

CKAN - CKAN is an open-source DMS (data management system) for powering data hubs and data portals. CKAN makes it easy to publish, share and use data. It powers catalog.data.gov, open.canada.ca/data, data.humdata.org among many other sites.

equinox - Equinox is an open source platform that supports the holistic risk management of sustainable finance projects

draf vs MLBox open-grid-emissions vs PyPSA draf vs pyomo open-grid-emissions vs ElectricPy draf vs Ray open-grid-emissions vs meteostat-python draf vs BayesianOptimization open-grid-emissions vs gridstatus open-grid-emissions vs climatemind-backend open-grid-emissions vs CKAN open-grid-emissions vs equinox