usaddress VS pyWhat

Usaddress https://github.com/datamade/usaddress

Assuming you’re working with addresses in the US, here’s a Python package that should help: https://github.com/datamade/usaddress

Some great probabilistic python libraries:

https://github.com/datamade/usaddress - "usaddress is a Python library for parsing unstructured address strings into address components, using advanced NLP methods."

https://github.com/datamade/probablepeople - "probablepeople is a python library for parsing unstructured romanized name or company strings into components, using advanced NLP methods."

For address parsing, I've had good luck with this package: https://github.com/datamade/usaddress

Is there a library written in Go similar to PyWhat? I want to use a subset of the functionality for a simple go program I'm writing. I could just call PyWhat, link to lemmeknow, or even write a simple go implementation myself, but I wanted to ask if there was a pure go implementation. Thanks!

Lemmeknow is basically used for identifying text as mentioned in README and video. It is Rust implementation of PyWhat. You can see various usecases there too.

For rarity, we have got the database from pyWhat and the wiki says:

This project was inspired by u/beesec 's pyWhat

Do you mean something like this: https://github.com/bee-san/pyWhat

pyWhat enables you to easily identify emails, IP addresses and more. Feed it a .pcap file or some mysterious text or hex of a file, and it will tell you what it is. The tool is recursive, so it can identify everything in text, files and more. A shout out to the tool's author for sharing his creation.