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Higlights | Sustainable IT Tools ( 18 / 232)⚲
Welcome to the INR tool box that presents a list of Sustainable IT tools. Our goal is to optimize this list in the coming months: 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
Allows you to view the quantity of CO₂ emitted to produce your electricity, in real time. The regions of the world are colored according to the carbon intensity (including all greenhouse gases) of the electricity consumed there.
Checklist for mobile accessibility
Allows you to test the performance of a website with an evaluation of the elements of security, cache, CDN, image optimization, transfer compression etc.
Python script that estimates the carbon footprint of all Cloud Foundry (CF) applications in an organization. The script uses basic "cf cli" commands to count the number of running containers per space. This is then multiplied by an estimated average energy consumption
PowerTOP is a Linux tool used to diagnose power consumption and power management issues. In addition to being a diagnostic tool, PowerTOP also has an interactive mode that you can use to experiment with various power management settings, in cases where the Linux distribution has not enabled these settings.
This calculator will give you 2 figures: the gross carbon emissions produced and the approximate offset carbon emissions. The latter number depends on the grid used by the cloud provider and we are open to updating our estimates if anything seems inaccurate or out of date.
To learn to understand the challenges and problems of accessibility
Records energy data on a Raspberry Pi and allows you to plot graphs of your energy consumption.
Calculates carbon emissions based on battery usage, car travel, and other factors. The information is displayed to the user, promoting environmental awareness.
Open-source library of techniques for detecting and mitigating biases in machine learning models throughout the lifecycle of AI applications. The AI Fairness 360 package is available in Python and R.
Used to test the compatibility with the enriched results. This functionality makes it possible to guarantee an enriched referencing in the search engines to promote a fair display of your page with regard to the other pages. It also allows better navigation from a mobile.
It is common to hear that digital technology is “green”, that is to say that it has little or no ecological impact, or even that it reduces the ecological impacts of the rest of our economy. . In this MOOC, these two ideas will be questioned. Indeed, digital technology has on the contrary real and growing ecological impacts: greenhouse gas emissions, pollution, production of toxic waste, etc. In addition, its ability to reduce the ecological impacts of the rest of our economy is questionable (rebound effect, planned obsolescence, etc.).
Excel media used by the working group to carry out the calculations presented in the report “Lean ICT - Pour une Sobriété Numérique” published on October 4, 2018 by The Shift Project.
Course offered by the University of Lausane presented by Dominique Bourg and Grabriel Salerno
Evaluate and improve the environmental and social impact of mobile applications by automatic analysis of the source code (SonarQube plugin)