ecologits
Energy tracking API
Tracks energy consumption and environmental impacts of generative AI models through APIs
🌱 EcoLogits tracks the energy consumption and environmental footprint of using generative AI models through APIs.
103 stars
10 watching
10 forks
Language: Python
last commit: 2 months ago
Linked from 1 awesome list
genaigenerative-aigreen-aigreen-softwarellmllm-inferencepythonsustainabilitysustainable-ai
Related projects:
Repository | Description | Stars |
---|---|---|
| A Python library for monitoring and estimating CO2 emissions from energy consumption during code execution. | 237 |
| A tool to measure energy and carbon consumption of software throughout its life cycle | 180 |
| A collection of Generative AI examples on iOS | 80 |
| A toolkit for calculating environmental impact of digital services by modeling their exhaustively | 19 |
| A tool to track energy usage and environmental impact of computer systems | 277 |
| Develops guidelines and best practices to reduce environmental impact of AI research and development | 81 |
| A demo project showing how to integrate Generative AI with an Angular app using Google Gemini and SignalR for real-time updates | 9 |
| A GenAI framework that provides an interface to multiple AI providers and models through a standardized API | 19 |
| Calculates carbon footprint of computation by considering factors like energy consumption and computational complexity. | 92 |
| A tool for estimating energy consumption in continuous integration environments. | 70 |
| Automates and optimizes machine learning experiments to capture run results and improve models | 872 |
| A collection of tools and extensions to the Google Earth Engine Python API for geospatial processing | 531 |
| Extracts and stores information from various sources using AI models to generate answers. | 283 |
| A framework to model, measure, simulate and monitor the environmental impacts of software applications | 159 |
| Provides tools and data to track power sector emissions by reconciling grid data and computing consumption-based emissions. | 38 |