mjhea0

So nice to see a new library written in JavaScript instead of TypeScript.

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/

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?

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...

Solid, learning by doing material

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. :)

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.

It's now on https://www.githubstatus.com.

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

I wrote one that works with Cypress.io > https://github.com/mjhea0/cypress-visual-regression

clickable - https://testdriven.io/courses/microservices-with-docker-flas...

Moving from the legacy checkout to elements was complex since you do not mention in the docs that validation checks no longer get checked on the client and instead have to happen on the sever.

I really wish you'd focus time and energy on documentation and examples for the current products. I wrote this blog post after a very frustrating experience with Stripe Connect: https://testdriven.io/blog/setting-up-stripe-connect-with-dj...

Cheers!