cloud-radar VS streamlit

I'm the author of Cloud-Radar, a Cloudformation testing framework written in Python. I just released v0.7.0 which had some major user experience improvements and I wanted to share it with all of you.

But I think it's okay if you like Cloudformation. In fact, I have another project that you will love. I created a testing framework for Cloudformation templates called Cloud-Radar. It allows you to test your templates locally without credentials. https://github.com/DontShaveTheYak/cloud-radar

Final follow up ;)

If you like Cloudformation, you might be interested in my Cloudformation testing library.

https://github.com/DontShaveTheYak/cloud-radar

It's the most powerful Cloudformation testing framework that exists.

It allows you to unit test your Templates locally with out deploying resources. That also means you don't need valid AWS creds while unit testing.

If you are using cloudformation, I have a python testing library https://github.com/DontShaveTheYak/cloud-radar

It allows unit testing of cloudformation templates locally without needing aws credentials or deploying anything.

It also supports functional testing of cloudformation stacks once they are deployed.

Full guide on my blog https://la-tech.co/post/hypermodern-cloudformation/getting-s...

https://github.com/DontShaveTheYak/jenkins-std-lib A Jenkins shared library with a couple cool things like running GitHub Actions on Jenkins.

https://github.com/DontShaveTheYak/cloud-radar Unit and Functional testing of AWS Cloudformation templates. The unit testing part allows you to test locally without needing AWS creds.

https://github.com/DontShaveTheYak/sebs Stateful Elastic Block Storage was created so that you could make sure that a AWS ec2 instance always had the same EBS volume mounted to it. Really handy for a Ec2 instance in an ASG with a count of 1.

I created a tool called cloud-radar that would allow me to test the logic that is inside of a Cloudformation templates. Things like the conditionals and intrinsic functions. This all happens locally without deploying and worrying about credentials or assuming roles. You can take a template like this and test it like this:

Streamlit (https://streamlit.io/)

Does it need to be live (i.e when database or underlying spreadsheet updates does it need to be reflected in real time on the dashboard) or are you ok with static display.

Live updating data is a pain I've messed around using javascript to force refresh html iframes on a timer. But I was never really satisfied with this. I've heard you can do things with websockets but that is starting to get too complicated for me (I'm not a programmer).

For static stuff one of the data scientists in my org pointed me to Streamlit (https://streamlit.io/) it's a python package I found very easy to use. Can easily combine SQL with CSV imports and display them all on one dashboard. Can use forms toggle butotns etc to control the display.

Note that there are many tools that make this easier/simpler to prototype, including chainlit, streamlit, etc… The backend API we built is amenable to interacting with them as well.

2.-Go to https://streamlit.io, log in, and create a new app from your GitHub repository.

Developed using Langchain and Streamlit technologies for enhanced performance.

Hello,

Have you ever seen the https://streamlit.io/ ? I think this is what you are looking for.

While building dashboards in Streamlit, I found myself really missing Buefy's (Bulma) modern web components.

Specially due to the inability to add new values to Streamlit's multiselect [1], some missing controls like a polished image carousel [2] or a highly customizable data table.

Long story short, we put together streamfy (Streamlit + Buefy) as an MIT licensed project in GitHub to bring Buefy to Streamlit.

Demo: https://streamfy.streamlit.app

All the form components are implemented, missing half of other non-form UX components. There is plenty of room for PRs, testing, feedback, documentation, example, etc.

Please send issues and contributions to GitHub project [3] and general feedback to X / Twitter [4]

Thanks!

[1] https://github.com/streamlit/streamlit/issues/5348

Here's your savior, let's welcome Streamlit.

Looks cool. How do you see this differing from streamlit? https://streamlit.io/

Imagine you have an AI-powered personal alerting chat assistant that interacts using up-to-date data. Whether it's a big move in the stock market that affects your investments, any significant change on your shared SharePoint documents, or discounts on Amazon you were waiting for, the application is designed to keep you informed and alert you about any significant changes based on the criteria you set in advance using your natural language. In this post, we will learn how to build a full-stack event-driven weather alert chat application in Python using pretty cool tools: Streamlit, NATS, and OpenAI. The app can collect real-time weather information, understand your criteria for alerts using AI, and deliver these alerts to the user interface.