OpenLayers3 VS Highcharts JS

You probably know this, but in Google Maps at least, you can use browser zoom (ctrl/cmd +/-) to change the size of labels without zooming into the actual map.

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Speaking of maps, I got to work a fun zoom project a few years ago: https://map.fieldmuseum.org/

We used https://openlayers.org/ and thought long and hard about how to best handle zooming and variable levels of information density & visual hierarchy. If you zoom all the way out, we just highlight where the building is relative to the surroundings. As you start to zoom in, we start to highlight major exhibitions and entrances. Then as you zoom in more, we start showing recommended paths, smaller exhibitions, etc. The label sizes try to scale up and down at each level, smoothly, in order to balance readability and density.

Eventually you can reach the max zoom level and the labels will just grow bigger and bigger, but the SVGs dynamically shrink so they remain pictograms and not just contextless-lines.

Then if you keep going, you eventually find microscopic easter eggs :)

The code is pretty jank (and abandoned), but it's FOSS vanilla JS/HTML/CSS, and the only dependency is on OpenLayers: https://github.com/arcataroger/openlayers_indoor_map

In order to display the GeoJSON features on a map, we will use OpenLayers, which is a very powerful open-source mapping library that is also very simple to use.

OpenLayers is available via the ol npm package, offering developers a powerful toolkit for creating sophisticated maps. Here is a JavaScript implementation that utilizes OpenLayers to showcase a map:

Official Website: https://openlayers.org/

For web maps I'd strongly recommend using OpenLayers. While it's less convenient to get started with compared to the alternatives it's also much more feature-complete and you'll likely hit a ceiling in terms of functionality much later than you would with the others.

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.