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Monitaur | https://www.monitaur.ai/ | Full-Time | Remote

Monitaur is the premier model governance software that helps highly regulated enterprises build better AI and models that businesses, regulators, and consumers can trust.

- Senior Full Stack Software Engineer: https://jobs.ashbyhq.com/monitaur/9352b476-43ed-4669-83da-ae...

- Principal Backend Software Engineer: https://jobs.ashbyhq.com/monitaur/a26e3230-5c18-4fd0-9e4c-9a...


I'm guessing you're looking more for a dev tool, but I co-founded a company that deals with this very thing (among others) from a governance perspective. https://www.monitaur.ai/



Thx. Also. Yikes!


I love the simplicity of these types of things. It's a bit pricey, but things like this can save a lot of time. I built one specific to my needs, which integrates the key metrics I look for in both Stripe and GA:

https://github.com/testdrivenio/google-analytics-stripe-dash...


This is awesome and I like it already because it's developed using Python. One more thing you're calling all of the Google API in a single view and I believe that will take quite some time to load. I have used htmx to solve this. After the page loads htmx will fire the API call to fetch the template response.


Thanks!

I do load the GA and Stripe data asynchronously via XHR requests. The initial load does take quite a bit of time. After that, I cache the results to the database and load from there first so subsequent loads are much quicker.

Do you think htmx would help with this still?


For beginner Django materials, I highly recommend William Vincent's work:

1. Django for Beginners: https://djangoforbeginners.com/ 2. Django for APIs: https://djangoforapis.com/

I helped edit the second book. :)


Solid, learning by doing material


Interesting.

Have any interest in expanding this into a blog post? I've been working on a similar post. Maybe we can compare notes. I'm at michael at testdriven dot io, if interested.




Big fan of this library. I think Celery is overkill for most projects. RQ is nice for the majority projects and it can scale right along with your project.

Quick tutorial of Flask + RQ: https://testdriven.io/blog/asynchronous-tasks-with-flask-and...


Most people are probably using scrapers and crawlers to collect data on sites that either don't have an open API or the API is difficult to use.

Examples:

Ancestry.com scraper - https://github.com/mjhea0/ancestry-scraper

Indeed job scraper - https://github.com/mjhea0/indeed-scraper

Craigslist housing scraper - https://github.com/mjhea0/craigslist-housing-scraper

https://github.com/ThaWeatherman/scrapers

What can you then do with the data?

Monitor competition or your own brand

Sentiment Analysis

Gather sales leads

Machine learning

Generate content (blog posts, building a custom job board) Find cheap flights


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