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Tom Forbes

@orf

https://tomforb.es/
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Make large-scale analysis of Python code several orders of magnitude quicker

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Make large-scale analysis of Python code several orders of magnitude quicker
🐌

Tom Forbes

about 1 year ago

Final report

Description of subprojects and results, including major changes from the original proposal

Python code is mirrored to GitHub here: https://github.com/pypi-data

Auto updates website is here: https://py-code.org/
secrets are being reported to the PSF.

Spending breakdown

Domain name: 10$

GitHub subscription for increased CI capacity: 50$

Server costs for initial development: 300$

Make large-scale analysis of Python code several orders of magnitude quicker
🐌

Tom Forbes

about 1 year ago

Progress update

What progress have you made since your last update?

The project is now complete! All PyPI code is mirrored to GitHub, and new uploads are automatically added as well.

Make large-scale analysis of Python code several orders of magnitude quicker
🐌

Tom Forbes

almost 2 years ago

Update: This project was pretty delayed due to unrelated personal issues, but I completed the first stage last week: https://github.com/pypi-data

All the Python code up until the 8th of July is within this organisation. It's not currently live updating but the infrastructure is all there.

I'm working with https://www.gitguardian.com/ to scan the contents for credentials, then produce some analysis on the contents, documentation and finally publicity.

Thank you for your funding Austin! This helped pay for some infrastructure to set up the project and begin scoping out a way to do this as well as give me motivation to continue.

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ForDateTypeAmount
Manifund Bankabout 2 years agowithdraw1000
Make large-scale analysis of Python code several orders of magnitude quickerabout 2 years agouser to user trade+900
Make large-scale analysis of Python code several orders of magnitude quickerabout 2 years agouser to user trade+100