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nivo
nivo provides a rich set of dataviz components, built on top of the awesome d3 and React libraries
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SurveyJS
Open-Source JSON Form Builder to Create Dynamic Forms Right in Your App. With SurveyJS form UI libraries, you can build and style forms in a fully-integrated drag & drop form builder, render them in your JS app, and store form submission data in any backend, inc. PHP, ASP.NET Core, and Node.js.
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unovis
Modular data visualization framework for React, Angular, Svelte, Vue, and vanilla TypeScript or JavaScript
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InfluxDB
Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.
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ripl
Ripl provides a unified API for 2D graphics rendering in the browser with a focus towards high performance and interactive data visualization.
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echarts
Apache ECharts is a powerful, interactive charting and data visualization library for browser
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evidence
Business intelligence as code: build fast, interactive data visualizations in pure SQL and markdown
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SaaSHub
SaaSHub - Software Alternatives and Reviews. SaaSHub helps you find the best software and product alternatives
Another alternative - I haven't tried this but bookmarked that one:
https://nivo.rocks (https://github.com/plouc/nivo)
I like Vega-Lite: https://vega.github.io/vega-lite/
It’s built by folks from the same lab as D3, but designed as “a higher-level visual specification language on top of D3” [https://vega.github.io/vega/about/vega-and-d3/]
My favorite way to prototype a dashboard is to use Streamlit to lay things out and serve it and then use Altair [https://altair-viz.github.io/] to generate the Vega-Lite plots in Python. Then if you need to move to something besides Python to productionize, you can produce the same Vega-Lite definitions using the framework of your choice.
I like Vega-Lite: https://vega.github.io/vega-lite/
It’s built by folks from the same lab as D3, but designed as “a higher-level visual specification language on top of D3” [https://vega.github.io/vega/about/vega-and-d3/]
My favorite way to prototype a dashboard is to use Streamlit to lay things out and serve it and then use Altair [https://altair-viz.github.io/] to generate the Vega-Lite plots in Python. Then if you need to move to something besides Python to productionize, you can produce the same Vega-Lite definitions using the framework of your choice.
+1 for chart.js - use it for most charting needs and even created a Wagtail app[1] that uses Chart.js on the frontend to render charts based on user input.
[1] https://github.com/overcastsoftware/wagtailcharts
Chartjs looks great, but I've never used it so can't recommend personally. I've used https://recharts.org a lot with success.
I'm build dashboards in Jupyter Lab. My plotting libraries are Altair, matplotlib, seaborn, Plotly - all work well in notebook.
My favorite is Altair. It provides interactivity for charts, so you can move/zoom your plots and have tooltips. It is much lighter than Plotly after saving the notebook to ipynb file. Altair charts looks much better than in matplotlib. One drawback, that exporting to PDF doesn't work. To serve notebook as dashboard with code hidden, I use Mercury framework, you can check example https://runmercury.com/tutorials/vega-altair-dashboard/
disclaimer: I'm author of Mercury framework https://github.com/mljar/mercury
We use echarts at https://evidence.dev and have been quite happy with it. We do a lot of embedded analytics and it's worked well for us.
Plotly is based on D3. Has both open-source version and paid option.
https://plotly.com/javascript/