CodeCarbon

Introduction

• Motivation
• Methodology
  • Carbon Intensity
  • Power Usage
  • CPU hardware
  • RAPL Metrics
  • CPU metrics priority
  • References
  • Estimation of Equivalent Usage Emissions
• Model Comparisons
  • Impact of time of year and region
  • Comparisons
  • References
• Frequently Asked Questions

Getting Started

• Installing CodeCarbon
  • From PyPi repository
  • From conda repository
  • Dependencies
• Quickstart
  • Online Mode
  • Offline Mode
• Configuration
  • Configuration priority
  • Access internet through proxy server
• CodeCarbon API
  • CodeCarbon API
• Parameters
  • Input Parameters
  • Output parameters
  • Specific parameters for offline mode
  • @track_emissions
• Examples
  • Using the Decorator
  • Using the Context Manager
  • Using the Explicit Object
• Comet Integration
• Advanced Installation
  • Install CodeCarbon as a Linux service
  • Deploy CodeCarbon CLI as a Service using Ansible

Logging

• Output
  • CSV
  • Prometheus
  • Logfire
  • HTTP Output
  • CodeCarbon API
  • Logger Output
• Collecting emissions to a logger
  • Create a logger
• Visualize
  • Offline
  • Online

Indices and tables

• Index

• Module Index

• Search Page