Highcharts JS VS dash

Highcharts.js

For background, our environment is hosted in AWS and our data warehouse is in redshift. We currently use [High Charts](https://www.highcharts.com/) to render simple, in-app reports. We are pretty happy with High Charts, it is highly preferred over the other solutions by our dev team. We use [SciSense](https://www.sisense.com/) for the more advanced dashboards/reports both in-app and in a reporting app. I will simply say we are not happy with SciSense for a multitude of reasons. Finally for internal facing dashboarding and reporting we use MS Power BI. We will not use this solution for customer facing applications due to it's numerous UX "paper cuts" (a bunch of little things that combined make it a less than ideal UX, in our opinion).

Yep, the JS package is owned and maintained by Highsoft (www.highcharts.com), while the Python package is owned and maintained by one of my companies (HCP LLC). I’ve partnered with Highsoft, which means that you can get both the JS libraries and the Python package (which is a paid add-on for commercial use) from them ( https://shop.highcharts.com ).

My team plans to use High Charts https://www.highcharts.com/ . I don't believe they are Angular native, but easily wrapped with Angular.

Hey u/philthenin, thanks for the reply, yeah highcharts is also a cool library. Seems it is open source: https://github.com/highcharts/highcharts

its not php/composer, but if you can send the data to an html file, you can use HighCharts to turn the json data model into various nifty charts. It's javascript.

I would recommend Highcharts. It can be a bit overwhelming to begin with but it lets you build whatever kind of chart you want.

I am searching this repository

https://github.com/highcharts/highcharts

for Series.drawPoint and expecting a direct hit for

https://github.com/highcharts/highcharts/blob/29d2a83a5a997b...

practically I tried "Series" and "drawPoint" also.

Of course there are valid use cases for splitting frontend and backend technologies. NiceGUI is for those who don’t want to leave the Python ecosystem and like to reap the benefits of having all code in one place. There are other options like Streamlit, Dash, Anvil, JustPy, and Pynecone. But we initially created NiceGUI to easily handle the state of external hardware like LEDs, motors, and cameras. Additionally, we wanted to offer a gentle learning curve while still providing the ability to go all the way down to HTML, CSS, and JavaScript if needed.

You could use something like Streamlit or Dash. In any case you will be accessing your app through the browser.

Useful list. Dash & bokeh as two more in the space

https://github.com/plotly/dash

I also heard of Dash which serves the same purpose I guess, but I think it has more to offer.

Plotly is a plotting library, and Dash is their open-source framework for building data apps with Python, R or Julia. (Dash also has an Enterprise version, but we'll focus on the open-source library here.)

Of course there are valid use cases for splitting frontend and backend technologies. NiceGUI is for those who don’t want to leave the Python ecosystem and like to reap the benefits of having all code in one place. There are other options like Streamlit, Dash, Anvil, JustPy, and Pynecone. But we initially created NiceGUI to easily handle the state of external hardware like LEDs, motors, and cameras. Additionally, we wanted to offer a gentle learning curve while still providing the ability to go all the way down to HTML, CSS, and JavaScript if needed.

looks like you can get it manually (albeit with a loss of interactivity) https://github.com/plotly/dash/issues/145

Shiny is a framework that makes it easy to build interactive web applications. Shiny was introduced 10 years ago as an R package. In his 10th anniversary keynote speech, Joe Cheng announced Shiny for Python at the 2022 RStudio Conference. Python programmers can now try out Shiny to create interactive data-driven web applications. Shiny comes as an alternative to other frameworks, like Dash, or Streamlit.