mlco2/codecarbon

• highreadme#1

  Reposition README H1 and opening sentence to specify software/ML focus

  原因：

  当前

  # Track & reduce CO₂ emissions from your local computing
  Estimate and track carbon emissions from your computer, quantify and analyze their impact.

  复制粘贴的修复

  复制

  # Track & reduce CO₂ emissions from your local software & ML computations
  Estimate and track carbon emissions from your software and machine learning workloads running on your local computer, and quantify their environmental impact.

  待办完成忽略
• mediumreadme#2

  Add a 'Comparison' section to the README

  原因：

  复制粘贴的修复

  复制

  ## How CodeCarbon Compares
  CodeCarbon focuses on estimating carbon emissions directly from your software and machine learning workloads running on local hardware. Unlike generic hardware monitoring tools (e.g., Intel Power Gadget, AMD uProf) which provide raw power consumption metrics, CodeCarbon translates these into CO₂ emissions and provides a Pythonic API for easy integration into your development workflow. It also complements grid intensity APIs (e.g., Electricity Maps API, WattTime API) by providing the computation-specific usage data, allowing for a more complete picture of your carbon footprint.

  待办完成忽略
• lowtopics#3

  Add more specific topics for ML and green software

  原因：

  当前

  ai-ethics, carbon-emissions, carbon-footprint, co2-emissions, energy-consumption, energy-efficiency, fairness, sustainability

  复制粘贴的修复

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  ai-ethics, carbon-emissions, carbon-footprint, co2-emissions, energy-consumption, energy-efficiency, fairness, sustainability, machine-learning-sustainability, green-software

  待办完成忽略

本次扫描解析到的品类 GEO 通道：google/gemini-2.5-flash, deepseek/deepseek-v4-flash

• 品类问题

  How can I monitor and reduce the carbon footprint of my local machine learning computations?

  你：第 1 位
  AI 推荐顺序：

  1. CodeCarbon ← 你
  2. Green Algorithms
  3. Intel Power Gadget
  4. AMD uProf
  5. Electricity Maps API
  6. WattTime API
  7. NVIDIA Management Library (NVML)
  8. AMD ROCm System Management Interface (SMI)
  9. PyJoules
  10. MobileNet
  11. EfficientNet
  12. Google Cloud
  13. AWS
  14. AWS Cost Explorer
  查看 AI 完整回答
• 品类问题

  What tools help developers measure and optimize energy consumption for sustainable software development?

  你：第 3 位
  AI 推荐顺序：

  1. Intel Power Gadget
  2. Scaphandre
  3. CodeCarbon ← 你
  4. Green Metrics Tool (GMT)
  5. Perf (Linux Performance Events)
  6. AWS CloudWatch
  7. Azure Monitor
  8. Google Cloud Operations
  9. Joule (by Microsoft Research)
  查看 AI 完整回答

• Metadata completeness

  pass

• README presence

  pass

• Compared to common alternatives in this category, what is the core differentiator of mlco2/codecarbon?

  pass
  ✓AI 明确点名了 mlco2/codecarbon

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• If a team adopts mlco2/codecarbon in production, what risks or prerequisites should they evaluate first?

  pass
  ✓AI 明确点名了 mlco2/codecarbon

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？

• In one sentence, what problem does the repo mlco2/codecarbon solve, and who is the primary audience?

  pass
  ✓AI 明确点名了 mlco2/codecarbon

  AI 的回答可能信誓旦旦却是错的。请按事实核对：技术栈、目标人群、差异化点是不是和你实际的对得上？