panel VS Highcharts JS

panel – data exploration & web app framework for Python

https://panel.holoviz.org/ It's a web app framework for Python similar to what Dash does for plotly. It plays nicely with bokeh visuals and I think the front-end is built using bokeh css elements.

I'm following the Panel FastAPI example here: https://github.com/holoviz/panel/blob/main/examples/apps/fastApi/main.py

If you want to build Python dashboards, look at the solara (react-style lib, https://solara.dev/) and panel (https://panel.holoviz.org/).

panel

My suggestion is https://panel.holoviz.org/

Fully open sourced, makes it easy to make reactive apps with small changes, can even configured as a graphical REPL.

I am doing something like this in a [panel](https://panel.holoviz.org/) dashboard, which I am currently converting to nicegui. Maybe I can provide an example in some days.

Ill have to check it out and see how it compares to voilà and holoviz panel. What I like about Holoviz panel is you can create a data web app from code that resides in a notebook or create a completely standalone app from just plain py scripts, and it supports many different visualization backends. I have found it to be the more flexible and generalizable data web app framework among the others I have come across (like Voilà, Dash, Plotly, and Streamlit).

Like the previous three alternatives, Panel is an open-source Python library for creating interactive dashboard web apps. Panel is extremely flexible, allowing you to use any plotting library you like. Like Gradio but unlike Streamlit, you can use Panel in Jupyter notebooks. Panel dashboards can also be deployed as standalone web apps, but like Plotly Dash, you'll need to set up a server to deploy it yourself.

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.