# Estimate and track the environmental footprint of GenAI models at inference > Source: > Published: 2026-10-31 10:19:08+00:00 ## Project **EcoLogits** is a suite of **open source tools** for estimating the **environmental footprint of generative AI models at inference**. Based on **life-cycle assessment principles**, the project raises awareness about the direct environmental impacts of AI while empowering developers and organizations to build **more sustainable AI-powered applications**. - **Open & transparent** – Code, methodology, and data are openly accessible. - **Ease of use** – Emphasizes on seamless integration and user experience. - **Community-driven** – Continuously built and improved collaboratively. ## Tools ### EcoLogits Calculator ### EcoLogits A **Python library** to track environmental impacts of AI requests made through official client SDKs.[Learn more](../get_started) ### EcoLogits.js A **JavaScript and TypeScript library** to estimate the environmental impacts of generative AI.[Learn more](https://www.npmjs.com/package/@ecologits/ecologits.js) ### EcoLogits API An **API service** enabling integrations of our impact assessment methodology into your applications.[Learn more](https://api.ecologits.ai/docs) ### CodeCarbon Local compute Track the **energy use and CO₂ emissions** of code running on your own hardware or cloud VMs.[Learn more](https://docs.codecarbon.io/latest/) ## Contributors People who contribute significantly to the project. ## Sponsors Organizations who make this project possible. ## Acknowledgements EcoLogits is part of the [CodeCarbon](https://codecarbon.io/) non-profit. Together aim to build open and robust tools to assess and reduce the environmental footprint of AI. We extend our gratitude to [Data For Good](https://dataforgood.fr/) and [Boavizta](https://boavizta.org/en) for supporting the development of this project. Their contributions of tools, best practices, and expertise in environmental impact assessment have been invaluable.