mlco2/ecologits
🌱 EcoLogits tracks the energy consumption and environmental footprint of using generative AI models through APIs.
EcoLogits helps you understand the environmental impact of using large language models. It takes your generative AI API calls (like those to OpenAI or Anthropic) and outputs estimated energy consumption and greenhouse gas emissions. This is for professionals managing AI projects who need to report on their ecological footprint.
266 stars.
Use this if you are developing or deploying generative AI solutions and need to measure or track the carbon emissions associated with your model usage.
Not ideal if you need to calculate the environmental footprint of on-premise AI training or inference, or for non-generative AI models.
Stars
266
Forks
26
Language
Python
License
MPL-2.0
Category
Last pushed
Mar 12, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/generative-ai/mlco2/ecologits"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related tools
NIH-NEI/IAN
IAN: An Intelligent System for Omics Data Analysis and Discovery
GURPREETKAURJETHRA/AI-Data-Visualization-Agent
This Streamlit application creates an interactive Data Visualization Assistant that can...
Roriz/active_genie
The Lodash for GenAI: Real Value + Consistent + Model-Agnostic
alessandro9110/Speech-To-Text-With-Databricks
An end-to-end, scalable STT solution on Databricks that transcribes audio into structured text...
alchaplinsky/gen-ai
✨ Generative AI toolset for Ruby ✨