232 Sustainable IT tools indexed in the toolbox
Welcome to the INR tool box that presents a list of Sustainable IT tools. Our goal for 2022 is to optimize this list: to improve the methodology for selecting tools and to cover all Sustainable IT themes.
If you have any suggestions for Sustainable IT tools or would like to get involved with us to help us optimize the toolbox, please write to us: outils-nr [@] institutnr.org
Explore a quickview of indexed tools in the Sustainable IT toolbox
Sustainable business canvas
Tool to set up workshops and to assess environmental costs and benefits
#Design #Environmental costs #Measurement
Software management plans
Checklist for a software management plan. This checklist will help you write an SMP. It consists of sections that cover the key elements that an SMP should include. A software management plan (SMP) can help you define a set of structures and goals for understanding your research software, including what you will develop; who is the software for (even if it's just for you); how you will deliver your software to the users it is intended for; how it will help them; and how you will assess whether it has helped them and contributed to the research, as you intended. An SMP also helps you understand how you can support those who want or use your research software; how your software relates to other artifacts in your research ecosystem; and how you will ensure that your software remains available beyond the lifespan of your current project.
#Software management plan #Management plan
Adelia
Tool offering assessments, white papers and other best practices to verify the ethics of your approaches
Green web foundation
This service informs you if the hosting of the DataCenter used for your website uses green energy
Carbontracker
Carbontracker is a tool for monitoring and predicting the energy consumption and carbon footprint of learning models (AI)
Tfjs-models
This repository hosts a set of pre-trained models that have been ported to TensorFlow.js. The templates are hosted on NPM and unpkg so they can be used in any out-of-the-box project. They can be used directly or in a transfer learning setting with TensorFlow.js.