cloud-carbon-footprint VS oxigraph

Stumbled upon this GitHub repo that seems to be only usable for JavaScript / typescript type use cases. (https://github.com/cloud-carbon-footprint/cloud-carbon-footprint) was wondering if anyone knew of a similar package for python to calculate carbon emissions for AWS resources

I'm not sure if the AWS SDK has any integration with that service, but there are some open source projects already doing a similar thing. https://github.com/cloud-carbon-footprint/cloud-carbon-footprint

ThoughtWorks made an app that does this: https://github.com/cloud-carbon-footprint/cloud-carbon-footp... but mainly works with aws, azure, and gcp

You might be interested in the methodology page cloudcarbonfootprint.org/docs/methodology/

The emissions are derived from billing. The billing-to-CO2 coefficients are debated by the Cloud Carbon Footprint community (and overridable if needed). You can find more infos on the project methodology page, and contribute to their Github project or Google Group.

See also https://github.com/cloud-carbon-footprint/cloud-carbon-footp...

There are a lot of open-source projects where one can contribute; I like the list maintained at https://opensustain.tech/. It’s a long list, so might make sense to focus on a specific sector one might be interested in and projects that can use your existing experience (e.g. in a particular language). A few projects that I think are amazing are OpenAQ which maintains an open API and open data on air quality and levels of pollutants; the Linux Foundation Energy projects like Grid eXchange Fabric that has a lot of applications in green energy (e.g. solar microgrids, load management, etc.); and the Cloud Carbon Footprint tool mentioned in another question, used to estimate the carbon emissions of cloud applications.

oxigraph

I am currently building a single-node graph database implementing the SPARQL query language. It is written in Rust and is named Oxigraph: https://github.com/oxigraph/oxigraph

I would love to get help, I have a working MVP but there are a lot of work left to get good performances for which I would love help. Some current problems are:

I've recently had to use KDE from Ubuntu 18.04 (Plasma 5.12) and my daily driver is Arch Linux with the current 5.24 beta. Improvement in Plasma is really incredible. Kudos to everyone contributing to make it better. It's such a stable and powerful system.

What's still lacking is unfortunately the application side: baloo indexer ist still a mess that hogs cpu and likes to corrupt itself every other day. Replaced it with mlocate. KDE Mail, Organizer, Akonadi are very powerful concepts and ideas and I hope some talented devs take on them and make them more stable and robust. The approach to use PostgreSQL/MySQL on the desktop has failed maybe there is a lighter way i.e. something like oxigraph (https://github.com/oxigraph/oxigraph) for implementing the Nepomuk/ Semantic Desktop ideas in a fast and stable way. For now I'm using evince and evolution for mail and reading PDFs.

Still hugs and love to everyone involved in Plasma I can't imagine using anything else and lately I'm replacing GNOME with Plasma everywhere I'm allowed to.

Oxigraph might be suitable https://github.com/oxigraph/oxigraph. It has bindings for Python and JavaScript.

I am currently working on an embeddable graph database. It uses the SPARQL query language. It's still WIP but I believe some people already use it on Android. https://github.com/oxigraph/oxigraph