Skip to main content

Tracarbon is a Python library that tracks your device's energy consumption and calculates your carbon emissions.

Project description

Alt text

doc pypi example workflow

📌 Overview

Tracarbon is a Python library that tracks your device's energy consumption and calculates your carbon emissions.

It detects your location and your device automatically before starting to export measurements to an exporter. It could be used as a CLI with already defined metrics or programmatically with the API by defining the metrics that you want to have.

📦 Where to get it

# Install Tracarbon
pip install tracarbon
# Install one or more exporters from the list
pip install 'tracarbon[datadog]'

🔌 Devices: energy consumption

Devices Description
Mac ✅ Global energy consumption of your Mac (must be plugged into a wall adapter).
Linux ❌ Not yet implemented.
Windows ❌ Not yet implemented.
Cloud Provider Description
AWS ✅ Used the CPU usage with the EC2 instances carbon emissions datasets of cloud-carbon-coefficients.
GCP ❌ Not yet implemented.
Azure ❌ Not yet implemented.

📡 Exporters

Exporter Description
Stdout Print the metrics in Stdout.
Datadog Send the metrics on Datadog.

🗺️ Locations

Location Description Source
Europe Static file of the European Environment Agency Emission for the co2g/kwh for European countries. EEA website
France Get the co2g/kwh in near real-time using the RTE energy consumption. RTE API
AWS Static file of the AWS Grid emissions factors. cloud-carbon-coefficients

⚙️ Configuration

Parameter Description
TRACARBON_API_ACTIVATED The activation of the real-time data collection of the carbon emission factor.
TRACARBON_METRIC_PREFIX_NAME The prefix to use in all the metrics name.
TRACARBON_INTERVAL_IN_SECONDS The interval in seconds to wait between the metrics evaluation.
TRACARBON_LOG_LEVEL The level to use for displaying the logs.

🔎 Usage

Command Line

tracarbon run

API

from tracarbon import CarbonEmission
from tracarbon.exporters import Metric, StdoutExporter

metric = Metric(
    name="co2_emission",
    value=CarbonEmission().run,
    tags=[],
)
exporter = StdoutExporter(metrics=[metric])
exporter.start()
# Your code
exporter.stop()

with exporter:
    # Your code

💻 Development

Local: using Poetry

make setup
make unit-test

🛡️ Licence

Apache License 2.0

📚 Documentation

The documentation is hosted here: https://fvaleye.github.io/tracarbon/documentation

Project details


Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

tracarbon-0.2.2.tar.gz (39.2 kB view details)

Uploaded Source

Built Distribution

tracarbon-0.2.2-py3-none-any.whl (42.2 kB view details)

Uploaded Python 3

File details

Details for the file tracarbon-0.2.2.tar.gz.

File metadata

  • Download URL: tracarbon-0.2.2.tar.gz
  • Upload date:
  • Size: 39.2 kB
  • Tags: Source
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.11 CPython/3.8.12 Linux/5.13.0-1022-azure

File hashes

Hashes for tracarbon-0.2.2.tar.gz
Algorithm Hash digest
SHA256 abb2b4dfa84af0293644362ed47896daf556b2c03a70b90f2500640b04b481e8
MD5 6489eaee5dc1c995b8de0a8e62cfea3b
BLAKE2b-256 7008033539586fd63a05338ba68745e6dc9f9c1f86655d26e45d84a22950858b

See more details on using hashes here.

Provenance

File details

Details for the file tracarbon-0.2.2-py3-none-any.whl.

File metadata

  • Download URL: tracarbon-0.2.2-py3-none-any.whl
  • Upload date:
  • Size: 42.2 kB
  • Tags: Python 3
  • Uploaded using Trusted Publishing? No
  • Uploaded via: poetry/1.1.11 CPython/3.8.12 Linux/5.13.0-1022-azure

File hashes

Hashes for tracarbon-0.2.2-py3-none-any.whl
Algorithm Hash digest
SHA256 9e0854e8d60833283ff8131ef1b0b250f4de8dd4534bad45c46e81a0c31f42bb
MD5 e2791ef76a4dc31851b9bd802b19e505
BLAKE2b-256 c8d833644f74f797420883ec69dc6878ae09860f1cafe4e6a4aa34ab6217942c

See more details on using hashes here.

Provenance

Supported by

AWS AWS Cloud computing and Security Sponsor Datadog Datadog Monitoring Fastly Fastly CDN Google Google Download Analytics Microsoft Microsoft PSF Sponsor Pingdom Pingdom Monitoring Sentry Sentry Error logging StatusPage StatusPage Status page