Carbonify

Open source library for carbon accounting and Lifecycle analysis

Manipulating carbon data is complex and requires both climate expertise and the knowledge of the right data source to make valid hypothesis.

The Carbonify python library and tools are aimed to democratize data manipulation of carbon data to facilitate accounting and lifecycle analysis.

!!! warning "Experimental" This library is extremely experimental, under active development and alpha-release Don't expect the documentation to be up-to-date or all features to be tested Please contact us if you have any question

Features

Current features

• Easy access to Base Carbone by ADEME with data indexing
• Data visualization and search functionalities to easily find carbon ratios

Installation

Install from PyPi

The library is available on PyPi via

pip install carbonify

For developers

• You can clone the github repo / fork and develop locally
• Poetry is used for environment management, dependencies and publishing, after clone you can run

# To setup the environment
poetry install

# To run Jupyter notebook or a python console
poetry run jupyter notebook
poetry run python

Contributors

• Ekimetrics

Project Structure

- carbonify/ # Your python library
- data/
    - raw/
    - processed/
- docs/
- tests/                            # Where goes each unitary test in your folder
- scripts/                          # Where each automation script will go
- requirements.txt                  # Where you should put the libraries version used in your library

References

Base Carbone

• Base Carbone by ADEME - Documentation
• Agribalyse by ADEME - Documentation
• https://www.hellocarbo.com/blog/calculer/base-carbone/

LCA

• CarbonFact.co
• https://www.carbonify.app/products/apple-iphone-12-us-64gb

EDA components

• https://blog.streamlit.io/the-streamlit-agraph-component/
• https://github.com/ChrisChross/streamlit-agraph