Environmental Footprint Data
Aims to reference as much data as possible to help organizations to evaluate the environmental footprint of their information systems, applications and digital services.
https://github.com/boavizta/environmental-footprint-data
Category: Consumption
Sub Category: Computation and Communication
Keywords
carbon-emissions carbon-footprint digital-sustainability environment footprint ghg-emissions sustainability
Last synced: about 17 hours ago
JSON representation
Repository metadata
💾 Boavizta.org Data repository
- Host: GitHub
- URL: https://github.com/boavizta/environmental-footprint-data
- Owner: Boavizta
- Created: 2020-12-30T15:01:59.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2023-02-23T10:26:29.000Z (about 2 years ago)
- Last Synced: 2025-03-16T18:46:53.566Z (about 1 month ago)
- Topics: carbon-emissions, carbon-footprint, digital-sustainability, environment, footprint, ghg-emissions, sustainability
- Language: Python
- Homepage:
- Size: 16.7 MB
- Stars: 119
- Watchers: 13
- Forks: 34
- Open Issues: 22
- Releases: 0
-
Metadata Files:
- Readme: README.md
README.md
Boavizta Project - Environmental Footprint Data
This data repository is maintained by Boavizta and is complementary to Boavizta's environmental footprint evaluation methology. It aims to reference as much data as possible to help organizations to evaluate the environmental footprint of their information systems, applications and digital services.
Boavizta database is quite exclusively derived from PCF (Product Carbon Footprint) sheets provided by the manufacturers. Methodologies used by manufactureres are not transparent and have very large margins of error and the purpose of making these data available is mainly to give ideas of orders of magnitude and to compare different models from the same manufacturer.
Therefore WE RECOMMAND NOT USING THESE DATA TO MAKE ACCURATE IMPACTS EVALUATIONS or to compare the impacts of devices from different manufacturers.
In addition, most manufacturers rely on the PAIA evaluation method developed by MIT. This method is based on data from non-public studies and Boavizta was therefore unable to evaluate its relevance.
To browse data, you can use https://dataviz.boavizta.org.
License
This dataset is made available under the Open Database License: http://opendatacommons.org/licenses/odbl/1.0/. Any rights in individual contents of the database are licensed under the Database Contents License: http://opendatacommons.org/licenses/dbcl/1.0/This data can be freely used for any purpose including without using Boavizta's methodology.
Data sets
At this time, we provide two CSV files grouping together data collected from manufacturers (mainly Product Carbon Footprint reports) publicly avaiblable :
boavizta-data-fr.csv
: French version (;
used as a delimiter, comma as a decimal separator)boavizta-data-us.csv
: English version (,
used as a delimiter, dot as a decimal separator)
We encourage all manufacturers to provide us with similar data or to correct potential errors in these files.
Boavizta working group works actively to enrich these files with new data :
- from manufacturers
- resulting from its analyzes and intended to provide ratios or average values that would simplify the evaluation
Please refer to sources.md for a complete list of sources.
Contribute
People are encouraged to contribute to these files.
You can easily contribute by :
- forking this repo and submitting PRs
- sending us an email to [email protected]
- submitting data through dedicated form on Boavizta's website
If any manufacturers wish to share data with us, we will be happy to discuss with them how we can efficiently synchronize this data.
Running the code
Download Chromedriver for your version of Chrome: https://chromedriver.chromium.org/downloads and move it to a folder that belongs to your path.
For Mac you can also run
brew install chromedriver
and restart Chrome.
Then create a python3.9 virtual environment, run
pip install -r tools/requirements.txt
to install the required packages and follow the instructions on the spiders README.md to run a spider and parse the pdfs of the associated brand.
When developing a new parser you can also follow the instructions on the parsers README.md.
Data format
manufacturer
: Manufacturer name, e.g. "Dell" or "HP"name
: Product namecategory
:- Workplace: product commonly used in a workplace
- Datacenter: product commonly used in a data center (e.g. server, network switch, etc.)
gwp_total
: GHG emissions (estimated as CO2 equivalent, the unit is kgCO2eq) through the total lifecycle of the product (Manufacturing, Transportation, Use phase and Recycling)gwp_use_ratio
: part of the GHG emissions coming from the use phase (the hypothesis for this use phase
are detailed in the other columns, especially thelifetime
and theuse_location
)yearly_tec
: Yearly estimated energy demand in kWhlifetime
: Expected lifetime (in years)use_location
: The region of the world in which the device usage footprint has been estimated.- US: United States of America
- EU: Europe
- DE: Germany
- CN: China
- WW: Worldwide
report_date
: the date at which the Product Carbon Footprint report of the device was publishedsources
: the original URLs from which the data for this row was sourcedgwp_error_ratio
: the datasheets commonly come with a diagram that shows the error margin for the footprintgwp_manufacturing_ratio
part of the GHG emissions coming from the manufacturing phaseweight
: product weight in kgassembly_location
: The region of the world in which the device is assembled- US: United States of America
- EU: Europe
- CN: China
- Asia: Asia
screen_size
: in inchesserver_type
: the type of serverhard_drive
: the hard drive of the device if anymemory
: RAM in GBnumber_cpu
: number of CPUsheight
: the height of the device in a datacenter rack, in Uadded_date
: the date at which this row was addedadd_method
: how was the data for this row collected
About Boavizta.org
Boavizta.org is a working group:
- Working to improve and generalize environmental footprint evaluation in organizations
- Federating and connecting stakeholders of the "environmental footprint evaluation" ecosystem
- Helping members to improve their skills and to carry out their own projects
- Leveraging group members initiatives
Owner metadata
- Name: Boavizta
- Login: Boavizta
- Email: [email protected]
- Kind: organization
- Description:
- Website: https://boavizta.org/en
- Location:
- Twitter:
- Company:
- Icon url: https://avatars.githubusercontent.com/u/74682393?v=4
- Repositories: 11
- Last ynced at: 2023-03-04T02:14:49.203Z
- Profile URL: https://github.com/Boavizta
GitHub Events
Total
- Issues event: 1
- Watch event: 3
- Issue comment event: 3
- Pull request event: 1
- Fork event: 6
Last Year
- Issues event: 1
- Watch event: 3
- Issue comment event: 3
- Pull request event: 1
- Fork event: 6
Committers metadata
Last synced: 7 days ago
Total Commits: 288
Total Committers: 14
Avg Commits per committer: 20.571
Development Distribution Score (DDS): 0.639
Commits in past year: 3
Committers in past year: 2
Avg Commits per committer in past year: 1.5
Development Distribution Score (DDS) in past year: 0.333
Name | Commits | |
---|---|---|
Airloren | r****n@c****o | 104 |
AirLoren | 7****n | 87 |
Gael Guennebaud | g****d@i****r | 39 |
Pascal Corpet | p****t | 28 |
sbaudoin | s****n@g****m | 10 |
Pablo Seminario | p****o@s****o | 9 |
Vincent Villet | v****t@g****m | 2 |
bpetit | b****t@h****g | 2 |
RedaPengam | 7****m | 2 |
Romain LORENZINI | r****n@M****l | 1 |
Boavizta-GH-API | 9****I | 1 |
Elena | 7****b | 1 |
Tristan Nitot | t****n@n****m | 1 |
Wynand Huizinga | w****a@e****m | 1 |
Committer domains:
- evision-software.com: 1
- nitot.com: 1
- hubblo.org: 1
- seminar.io: 1
- inria.fr: 1
- cmakers.io: 1
Issue and Pull Request metadata
Last synced: 1 day ago
Total issues: 32
Total pull requests: 62
Average time to close issues: 20 days
Average time to close pull requests: 3 days
Total issue authors: 13
Total pull request authors: 11
Average comments per issue: 1.16
Average comments per pull request: 0.31
Merged pull request: 32
Bot issues: 0
Bot pull requests: 0
Past year issues: 1
Past year pull requests: 1
Past year average time to close issues: N/A
Past year average time to close pull requests: N/A
Past year issue authors: 1
Past year pull request authors: 1
Past year average comments per issue: 2.0
Past year average comments per pull request: 1.0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0
Top Issue Authors
- AirLoren (13)
- ggael (6)
- Romain-Partouche (2)
- sashavor (2)
- adriens (1)
- mfoukette (1)
- alexandre-theve (1)
- trahay (1)
- pierreozoux (1)
- jasonkaisersmith (1)
- demeringo (1)
- Slasher007 (1)
- JacobValdemar (1)
Top Pull Request Authors
- Boavizta-GH-API (20)
- pcorpet (17)
- AirLoren (7)
- RedaPengam (7)
- pabluk (3)
- sbaudoin (2)
- bpetit (2)
- awesome-Leni (1)
- Elenaaab (1)
- wynandhuizinga (1)
- nitot (1)
Top Issue Labels
- hackathon (8)
- manual (3)
- documentation (1)
Top Pull Request Labels
Dependencies
- PyGithub ==1.55
- numpy ==1.21.2
- opencv-python-headless ==4.5.3.56
- pdfminer.six ==20211012
- pymupdf ==1.18.19
- pytesseract ==0.3.8
- scrapy ==2.5.1
- mypy ==0.910 test
- actions/checkout v2 composite
- actions/setup-python v2 composite
- dorny/paths-filter v2 composite
Score: 7.587817219993427