plotly VS Strapi

Github: https://github.com/plotly/plotly.py

First we need to install the Plotly. To create some very dynamic graphics, this tool helps a lot.

my good dude wake up and smell the plotly. Knowing the ins and outs of matplotlib is helpful but doing interactive stuff with jupyter I always use plotly.

Plotly documentation (https://plotly.com/python/)

I don´t know your workflow, but I use 2 markdown based presentations: obsidian advance slides and Quarto presentations. The former is a plugin for Obsidian, which is the software I use to take all my notes, write my thesis, etc., so It makes it extremely easy to make presentations since all my information is in Obsidian. In the other hand, Quarto is a publishing system (articles, presentations, websites books) that can be easily integrated with python and R. This makes it supper convenient for showing my data to my PI since I can analyze my data and at the same time make a presentation for the data. Besides this, Quarto also integrates with my Zotero library, so I can insert citations. Lastly, one thing that made my Quarto presentations infinitely better that the powerpoints, Is that I can insert interactive graphs with plotly, so when I'm showing my data, my PI is able to explore the data inside the presentation.

Plotly GitHub repository: https://github.com/plotly/plotly.py

I'm using plotly.py now. This is why I love this community.

Depending on the nature of your reporting requirements, you could output a formatted Excel document with Python and a library such as openpyxl, and shove that into your SharePoint environment. This would be less dynamic than PBI reports can be, but may be sufficient. If you want viz as well, you can use something like ggplot or Plotly. Again, less dynamic than PBI for the same effort.

https://prisma.io is popular as I understand it. I've been trying out https://strapi.io the last week and am thoroughly impressed.

They both do much more than build queries. One big thing both do is automate database migration calculations. Strapi goes further and gives you a CMS and admin UI on top, as well as doing a lot more of the complex query building from a json object. Both still require a fundamental understanding of the data model and SQL

As of April 2024, Strapi's GitHub repository has garnered 59.7k stars and 7.5k forks, showcasing its widespread adoption. The project has also secured a substantial $45+ million in funding, cementing its position as a prominent player in the headless CMS space.

const pages = await client.GET("/pages", { params: { query: { filters: { // @ts-ignore - openapi generated from strapi results in Record // https://github.com/strapi/strapi/issues/19644 path: { $eq: path, }, }, // @ts-ignore populate: { blocks: { populate: "*" }, }, }, }, });

On a side note. Where do all these endpoints come from? Strapi is open source. We can read the source code. All these endpoint come from the Users and permissions plugin. So, if we go to Strapi on github and browse around the files a bit eventually you will find the auth.js file that contains all of the routes. You can also find the Strapi controllers in there if you're interested.

Strapi

Strapi: The Code Anarchist

Strapi - Open source Node.js Headless CMS 🚀

https://strapi.io/ https://prismic.io/ https://bubble.io/ https://hygraph.com/ https://www.sanity.io/