gql VS Chart.js

An example of a Snowflake API request using Python. This example uses Python’s built-in urllib.request library for issuing the GraphQL request, so it doesn’t require additional dependencies; however, in production, you could use a library like gql for stronger typing.

As the maintainer of graphql-python/gql, I am disappointed it is not on the list... or did you want to restrict it to Javascript GraphQL clients only?

You should take a look at graphql-python/gql and its websockets transport

But did you consider using graphql-python/gql.

Here is link number 1 - Previous text "gql"

You can use a package named gql https://github.com/graphql-python/gql . The only thing you need to do is create a client and use it to send your queries and mutations.

ChartsJS for inspiring me with the pie chart.

Most of frontend libraries are made with Vanilla JS. An example of library that you might frequently use is "Chart.js". But React is not compatible with Chart.js so here it comes "React-chartjs-2" A wrapper library to work with Chart.js in React ecosystem. Oh you want to use "three.js" for some cool 3D? you will need "React-three/fiber". In my case, I need to implement "telegram-web-app", not so fast, I have to create my own wrapper to be able to use it.

Chart.js

Chart.js is a free, open-source JavaScript library for data visualization, which supports eight chart types: bar, line, area, pie, bubble, radar, polar and scatter. It's licensed under the permissive MIT license and is renowned for being flexible, lightweight, easy to use and extendible.

They are images so it could be any number of things, datawrapper, charts.js, d3.js to name a few options.

Charts.js for creating diagrams

Connie Leung wrote a tutorial to demonstrate how these new hooks work, integrating an Angular app with the Chart.js library: "DOM reading and writing with new lifecycle hooks in Angular"

Thanks to all who participated in our 2023 Self-Host User Survey! Below is a link to the results, which we've visualized using Chart.js.

Chart.js