freqbench
PyPSA
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| freqbench | PyPSA | |
|---|---|---|
| 1 | 2 | |
| 160 | 1,090 | |
| - | 5.0% | |
| 4.7 | 9.5 | |
| 3 days ago | 2 days ago | |
| Python | Python | |
| MIT License | MIT License |
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.
freqbench
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Roland Quandt on Twitter: Qualcomm goes 4 big cores for the midrange 765G sucessor (LPDDR5,UFS 3.1)
He's right. At a certain point, the big cores are more efficient than the LITTLE ones. See https://github.com/kdrag0n/freqbench.
PyPSA
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Young Australians Just Won a Human Rights Case Against an Enormous Coal Mine
This study about the European grid quantifies all this. If you want to go deeper into how they get these numbers, you'll need to read about PyPSA or other grid modelling tools. It's all open source and well documented.
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Solar panels set to be mandatory on all new buildings under EU plan New proposal aims to rapidly reduce dependence on Russian fossil and supercharge Europe’s transition to green energy
You need to know how energy models work, and I invite you to read about them. Check out PyPSA for instance (paper, Source code)). That would answer both points above and more. For instance, you need to know that they are based on real weather and consumption data, so they account for natural variability. They know the cost of producing synfuels, and they optimize around it to find the cheapest system overall given the input technologies and assumptions. These calculations would be impossible to do by hand.
What are some alternatives?
pyJoules - A Python library to capture the energy consumption of code snippets
open-grid-emissions - Tools for producing high-quality hourly generation and emissions data for U.S. electric grids
PaddlePaddle - PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）
snl-quest - An open source, Python-based software platform for energy storage simulation and analysis developed by Sandia National Laboratories.
linqit - Extend python lists operations using .NET's LINQ syntax for clean and fast coding.
co2-data - Data on CO2 and greenhouse gas emissions by Our World in Data
eemeter - An open source python package for implementing and developing standard methods for calculating normalized metered energy consumption and avoided energy use.
climate-change-assignment - A website explaining what is climate change
pathfinder.vim - Vim plugin to suggest better movements
gridstatus - Extract data from ISOs and other energy grid sources
gnv - An automation CLI tool to controls most of the features of GitHub in an automated look
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.