We used ECharts to build our charting library at Evidence and it’s been a great experience overall (https://evidence.dev).
We started with D3 and a few other tools, but felt that we get a lot more out of the box with ECharts, like interactivity and an events API. ECharts is also a lot more extensible than people give it credit for.
We're trialing ECharts on a couple dashboards at the moment and it's improved velocity a lot over previous D3-based approaches. This has been my experience in other companies too, where a purist developer will come along and start building yet another custom D3 solution which takes so long to deliver that the users just build a pipeline to dump the data and hack their own charts together in a different tool instead.
My feeling is that D3 just isn't worth it unless you are building a bespoke visualization for a unique dataset. For most everything else, ECharts is so much faster to deliver value to the users. The ease-of-use of ECharts reminds me of Highcharts back in the day, except it's free! I'm not sure it has a very strong support network behind it, but perhaps that will improve as more popular tools switch (Gitlab, Superset etc).
Yes, Evidence was my intro to ECharts. I’m more on the building datasets side of things lately, but on the occasions that I do need to produce some analyses Evidence is the model I want to use. Thank you.
We started with D3 and a few other tools, but felt that we get a lot more out of the box with ECharts, like interactivity and an events API. ECharts is also a lot more extensible than people give it credit for.
If anyone is curious, we documented the process of selecting a charting library after assessing several options: https://github.com/evidence-dev/evidence/issues/136