httptoolkit VS orange

HTTP Toolkit, you will need to install one in your PC and another one in the emulator.

Maybe not exactly what you're looking for, but if you could side-load on windows this app should work. https://httptoolkit.com/

use https://httptoolkit.com/ but it's getting a bit off-topic :)

I run HTTP Toolkit (https://httptoolkit.com) which passed $2k a couple of years back. No longer a side project, as it's made enough money for me to work on it full time for a fair while now, but it certainly started that way, and it's still a one-man show (plus many wonderful open-source contributors).

I suspect that'll be a common theme in answers here though: if you have a side project making $2k a month, in most of the world that's enough for you to go full-time and try to take it further. If you can make $2k/month on something working only part-time, you can definitely make a lot more if you focus on it.

On your questions: HTTP Toolkit is a desktop app (plus a mobile app and other components for integrations) but it's an Electron app that effectively functions as a SaaS (with a freemium subscription model) that just happens to have a component that runs on your computer. And actually getting to $2k wasn't overnight at all - it took a couple of years of slow steady slog. A few inflection points that made a notable difference (releasing rewriting support & Android support particularly) but mostly it was a matter of "just keep pushing", trusting the trajectory would keep going, and steadily grinding upwards. It's great where it is now, but it's hard work - a solo business is not for the faint of heart!

you can use tools like https://httptoolkit.com/ to check the requests

I know I've tooted its horn before, but Orange3 is a pretty neat Python-based GUI platform that makes this and a metric buttload of other statistical/ML techniques available to non-programmer types.

Just watch out for null character `x00` in the corpus. That always seems to kill it stone dead.

https://orangedatamining.com/

https://orange3.readthedocs.io/projects/orange-visual-progra...

For all you folks who aren't ace programmer types, the Orange3[1] platform gives you a very miniaturized[2] ability to turn out these sorts of visualizations very rapidly. It's not the most stable thing in the world, but the node-based ML workflow designer is worth the price of admission all by itself.

[1] https://orangedatamining.com/

[2] The Wikipedia extension in Text limits each search result to 25 articles, so sucking all of Wikipedia is . . well, Orange text analytics crashes when I look at it sideways with a null character, so let's not think about what would happen.

First is identifying the "similar" things in a corpus. Best way I know to do that, for non-programmer audiences, is the Orange Data Mining tool, which gives you a node-based text mining interface to perform statistical analysis on text. Hierarchical Clustering shows - very rapidly - how similar your "modules" are, which ones are most similar. There's many other techniques (semantic viewer, similarity hash, etc) as well - the right one will depend on how your content is laying about.

Both tools are ripoffs of a data mining framework named Orange 3

You should also check out Orange Data Mining, it allows to create a lot of charts, filter data from a chart to another, build ML models, predictions and a lot more. And you can do it with zero code.

You can start with a free GUI based tool Orange. It is a component based data science workflow tool, which you can use to handle 60-75% of the traditional data science tasks from classification, regression, to basic neural networks.