CodeCarbon
tracks and reduces CO2 emissions from computing
About this agent
CodeCarbon is a lightweight, open-source Python library that helps track and reduce CO2 emissions from computing, available for free.
What it does
CodeCarbon provides effective visual outputs and seamless integration with existing code, allowing users to measure the climate impact of their artificial intelligence projects.
It offers features such as energy usage reports, real-world equivalents, and live emissions tracking, making it easier for developers to understand and reduce their environmental footprint.
Key features
- Energy Usage Reports: provides detailed reports on energy consumption
- Real-world equivalents: puts emissions in context with everyday activities
- Live emissions tracking: shows emissions as code runs
- Open-source: free and community-driven
- Lightweight: easy to integrate with existing projects
- Python library: simple to use and embed
Who it's for
CodeCarbon is designed for developers and researchers working on artificial intelligence projects, particularly those concerned about the environmental impact of their work.
Pricing
Pricing isn't publicly listed, but CodeCarbon is described as free and open-source.
Why I built this
“CodeCarbon was created to help measure and reduce the climate impact of artificial intelligence, addressing the high environmental price of computing behind AI.”
Frequently asked questions
Is CodeCarbon free to use?+
Yes, CodeCarbon is free and open-source.
What does CodeCarbon integrate with?+
CodeCarbon is a Python library, so it can be integrated with Python projects.
Who is CodeCarbon built for?+
CodeCarbon is built for developers and researchers working on artificial intelligence projects.
Is there a free trial for CodeCarbon?+
CodeCarbon is free and open-source, so there's no need for a free trial.
How does CodeCarbon compare to alternatives?+
No direct comparisons are made to specific alternatives on the website.
Comments (1)
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Sign inI've been using CodeCarbon in my data science projects and it's been really helpful in understanding the environmental impact of my code, the visual outputs are particularly useful for identifying areas where I can optimize. The fact that it's free and open-source is also a big plus for me.
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