A pioneer in the world of data visualization, ZingChart is a powerful JavaScript library built with big data in mind. With more than 50 chart types and easy integration with your development stack, ZingChart allows you to create interactive and responsive charts with ease.
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Straightforward JSON configuration, documentation & demos make it easy to get started with ZingChart without too much initial overhead, even for entry-level devs. For example, here's how to build an animated line chart in a minute.
For those looking for more advanced features, ZingChart's API lets devs create interactions, leverage and interact with the chart autonomously, and allows for the extension of chart types. There are quite a few API demos available upon which to base new interactivity or functionality.
Full disclosure: I work on the ZingSoft team, which includes ZingChart and ZingGrid 🖖🏽
Based on our record, Evidence.dev seems to be more popular. It has been mentiond 15 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Https://opensource.com/article/20/4/plot-data-python gives some common options. What kind of plots are you trying to achieve? Interactive? Jupyter notebooks? Reporting? SVG or HTML output? You might also like to look at things like https://evidence.dev. - Source: Hacker News / about 1 month ago
I'll ask another of the "how is this different" questions - how is this different from https://evidence.dev/ ? Quary seems a little like dbt + Evidence from what I can see. - Source: Hacker News / about 1 month ago
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. - Source: Hacker News / about 2 months ago
It’s interesting to me how far you have pushed the SQL language in this framework, such that it truly is “SQL only”. The challenge as I see it with enabling analysts to build websites is that you need to build abstractions to get from familiar (SQL, yaml) - the language of analytics, to new (HTML, CSS, JS) - the language of the web browser As one of the maintainers of Evidence ( - Source: Hacker News / 3 months ago
Dataclips was my first experiences writing SQL. Writing code was a markedly better DX that building dashboards in Tableau, which is why I'm now working on https://evidence.dev - a SSG for creating data from SQL and markdown Previous HN discussions:. - Source: Hacker News / 4 months ago
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