Skip to main content

Digital service environmental footprint model

Project description

e-footprint model

A toolkit for exhaustively modeling the environmental impact of digital services.

The current perimeter is the carbon footprint associated with the fabrication and usage of servers, storage, network (usage only) and end-user devices necessary for the existence of a web digital service. It is also now possible to model the production of edge devices (like video game consoles, smartphones, servers, etc.) and describe the unitary usage by device over its usage phase, to get the environmental footprint of the deployed fleet.

Other environmental impacts (water, rare earth metals, etc.) will be added soon through an integration with the Boavizta API, and the lifecycle phases of device transportation and end of life are currently considered negligible.

Getting started

Installation

Check out INSTALL.md.

Documentation

Here is the link to the e-footprint documentation. There you will find a description of all the e-footprint objects, their parameters, the relationship between the objects and the calculated attributes and their graphs.

Graphical interface

You can explore the model’s graphical interface, which is also open source and found in the Boavizta e-footprint interface repository. Please send an email to e-footprint’s main maintainer, Vincent Villet if you wish to give feedback !

Modeling examples

Checkout our open source e-footprint modeling use cases.

Tutorial

pip install efootprint

You can then run the jupyter notebook tutorial to familiarize yourself with the object logic and generate an object relationship graph and a calculation graph as HTML files in the current folder.

object relationships graph
Object relationships graph: usage patterns in deep blue, user journey in blue, user journey steps in pale blue, jobs in gold, infra hardware in red. Hover over a node to get the numerical values of its environmental and technical attributes. For simplifying the graph the Network and Hardware nodes are not shown.
simple calculation graph
Calculation graph: user inputs in gold, hypothesis in darkred, and intermediate calculations in pale blue. Hover over a node to read the formula.

To launch jupyter:

# Todo once to setup jupyter kernel
poetry run ipython kernel install --user --name=efootprint-kernel
# Start Jupyter server with poetry
poetry run jupyter notebook tutorial.ipynb

Dev setup

Check out INSTALL.md.

Code logic

The code has been architectured to separate modeling from optimization from API logic. The goal is to make contribution to the modeling logic as straightforward as possible.

  • Modules that deal with modeling logic are located in efootprint/core.
  • Optimizations (having the model rerun the right calculations whenever an input attribute or a link between objects changes) are dealt with in efootprint/abstract_modeling_classes.
  • All json serialization / deserialization logic, that is essential for making the web interface work, are found in efootprint/api_utils.

Contributing

Check out CONTRIBUTING.md

License

GNU Affero General Public License v3.0

Project details


Release history Release notifications | RSS feed

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

efootprint-15.0.0.tar.gz (259.5 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

efootprint-15.0.0-py3-none-any.whl (305.8 kB view details)

Uploaded Python 3

File details

Details for the file efootprint-15.0.0.tar.gz.

File metadata

  • Download URL: efootprint-15.0.0.tar.gz
  • Upload date:
  • Size: 259.5 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.13.5 Darwin/24.6.0

File hashes

Hashes for efootprint-15.0.0.tar.gz
Algorithm Hash digest
SHA256 f0d05b778d7a9b4d6f9374def9990aa835ac07ca0ac4747efcaca84dde8558d9
MD5 e35a0c86ae78b517897fb16f020e7938
BLAKE2b-256 4625c1740dba9f0119d7b51985e511ec30c2e01981f1277302bba653525f741a

See more details on using hashes here.

File details

Details for the file efootprint-15.0.0-py3-none-any.whl.

File metadata

  • Download URL: efootprint-15.0.0-py3-none-any.whl
  • Upload date:
  • Size: 305.8 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/2.1.3 CPython/3.13.5 Darwin/24.6.0

File hashes

Hashes for efootprint-15.0.0-py3-none-any.whl
Algorithm Hash digest
SHA256 918ad843682d472c126e17bc28b579d91073de1e3b788612c88635142a397110
MD5 2d9bba3ce4ede1c1b4cc247d413095e2
BLAKE2b-256 d522c07b3f82b4617821090a84f2b79b2329fb340665b215d3bb58cf1d28bb4f

See more details on using hashes here.

Supported by

AWS Cloud computing and Security Sponsor Datadog Monitoring Depot Continuous Integration Fastly CDN Google Download Analytics Pingdom Monitoring Sentry Error logging StatusPage Status page