I built a Carbon Footprint tracker for my code (using Electron?!) ๐
Source: Dev.to
The Problem: Invisible Emissions โ๏ธ
As developers, we are obsessed with optimization. We profile our code for time complexity ($O(n)$), memory leaks, and bundle size.
But there is one metric we usually ignore: carbon intensity. Every time we run a heavy build, spin up a Docker container, or train a model, we draw power. Depending on where you live (and your gridโs current mix of coal vs. renewables), that power has a carbon cost.
I wanted to see that cost in realโtime, so I built CarbonLint.
Solution: CarbonLint
CarbonLint is an openโsource desktop app that monitors your development environmentโs energy usage and estimates the COโ emissions of your workflow. It helps you answer questions like:
- โHow much COโ did that last CI/CD run generate?โ
- โIs my local grid green right now, or should I wait to run this heavy task?โ
The app is built with Electron, React, and Vite.
Architecture
Backend
- Uses
systeminformationandnode-powershellto pull raw system metrics (CPU, memory, network).
Calculation
- Applies regional grid intensity factors to convert raw kWh into gCOโ.
- The hardest part was obtaining accurate regional data; the app fetches and caches grid intensity values for the userโs location.
Frontend
- React + Chart.js for visualizing energy usage and emissions.
Contributing
I am looking for contributors to help improve the calculation models and add support for more regions.
Repository:
Tech Stack
- Electron
- React
- TailwindCSS
Call for Feedback
If you are interested in Green Software Engineering, Iโd love your feedback!
Let me know in the comments: Do you track your codeโs energy usage?