Carbon Python Packages

graphyte

Python 3 compatible library to send data to a Graphite metrics server (Carbon)

aio-statsd

an asyncio-based client for send metric to StatsD, Graphite.carbon and DogStatsD.

aiocarbon

Asynchronous client for carbon.

carbon-intensity-uk

Carbon Intensity Simple Client Library

cbsyst

Python module for calculating carbon and boron solution chemistry.

carbonsh

carbon.now.sh python module

py-carbon

Fully asynchronous Python library for carbon.now.sh ✨🚀

carbonintensity

Home Assistant Client library for Carbon Intensity API

pyfia

pyFIA provides a programmatic API for working with Forest Inventory and Analysis (FIA) data. It leverages modern Python data science tools like Polars and DuckDB for efficient processing of large-scale national forest inventory datasets while maintaining exact statistical compatibility with FIA EVALIDator.

climate-aware-task-scheduler

🐈 CATS: the Climate-Aware Task Scheduler 🌍

canyonbpy

A Python library to perform CANYON-B neural networks implementation.

carbon-client

graphite/carbon udp client for sending metrics

makeimpact

Make an impact with a single API call — plant trees, clean oceans, capture CO₂, and donate to global causes.

earthshot

Earthshot Lab's central python package and repository

momentpy

A Carbon-like datetime library for Python inspired by Laravel's Carbon

carbonpy

An Organic Chemistry module

smew

Soil Model for Enhanced Weathering (SMEW): a dynamic, depth-averaged ecohydrological and biogeochemical model for enhanced weathering dynamics in the upper soil layers.

carbonferret

A Python package to quickly fetch carbon reservoir records at the Marine Reservoir Correction database (http://calib.org/marine/).

energy-grid-mcp-server

MCP Server for energy grid data — CO2 intensity, power mix, prices and green time windows for AI tasks

mobility-tools

A tool to simulate the mobility behaviours of the inhabitants of a given region.

hisser

Fast TSDB backend for graphite

gracehpc

Python package for estimating the carbon footprint of jobs run on high-performance computing (HPC) clusters.