Chartist.js
Chart.js
AnyChart
Highcharts
ZingChart
Google Charts
Plotly
CanvasJS
D3.js
Chart.js
Plotly
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Pixi.js
ZingChart
D3 allows you to bind arbitrary data to a Document Object Model (DOM), and then apply data-driven transformations to the document. For example, you can use D3 to generate an HTML table from an array of numbers. Or, use the same data to create an interactive SVG bar chart with smooth transitions and interaction.
D3 is not a monolithic framework that seeks to provide every conceivable feature. Instead, D3 solves the crux of the problem: efficient manipulation of documents based on data. This avoids proprietary representation and affords extraordinary flexibility, exposing the full capabilities of web standards such as HTML, SVG, and CSS. With minimal overhead, D3 is extremely fast, supporting large datasets and dynamic behaviors for interaction and animation. D3’s functional style allows code reuse through a diverse collection of official and community-developed modules.
Chartist.js| Categories |
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| Website | gionkunz.github.io |
| Details $ | - |
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Based on our record, D3.js seems to be a lot more popular than Chartist.js. While we know about 159 links to D3.js, we've tracked only 12 mentions of Chartist.js. 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.
Here's a JS framework that seems to do almost everything you want (outside of not requiring a JS framework, of course). It's a Sass project and uses Node modules, so I wasn't able to get it running using vanila js. (I'm not much of a JS dev.) I'm also interested in other players in this space. SVG seems like the ideal way to make static plots. https://gionkunz.github.io/chartist-js/. - Source: Hacker News / 2 months ago
If you are sending the data to a website, or serving the website yourself, using JSON as the data format will be the easiest. Personally I never use cloud services and I just use a Javascript charting library like https://gionkunz.github.io/chartist-js/ (it supports real-time graphs) on a web page that is self-hosted (run a server on the ESP32). Source: 11 months ago
The author went through the effort of creating a marketing site with documentation and examples. https://gionkunz.github.io/chartist-js/. - Source: Hacker News / over 1 year ago
With django-controlcenter you can have all of your models on one single page and build beautiful charts with Chartist.js. Actually they don't even have to be a django models, get your data from wherever you want: RDBMS, NOSQL, text file or even from an external web-page, it doesn't matter. - Source: dev.to / over 1 year ago
Anyone here have some good suggestions for mature, easy to use graph libraries for Vue 3? Maybe I should write a wrapper around Chartist myself... Source: about 2 years ago
Yes this was done with a combination of GSAP Scrolltrigger https://gsap.com/docs/v3/Plugins/ScrollTrigger/ and https://d3js.org/. - Source: Hacker News / 4 days ago
d3 - very power visualization library enabling dynamic visualizations. docs. - Source: dev.to / 28 days ago
Yep, Evidence is doing good work. We were most directly inspired by VitePress; we spent months rewriting both D3’s docs (https://d3js.org) and Observable Plot’s docs (https://observablehq.com/plot) in VitePress, and absolutely loved the experience. But we wanted a tool focused on data apps, dashboards, reports — observability and business intelligence use cases rather than documentation. Compared to Evidence, I’d... - Source: Hacker News / 2 months ago
They are images so it could be any number of things, datawrapper, charts.js, d3.js to name a few options. Source: 4 months ago
I made this interactive visualization that attempts to show the real-time frequency and location of births around the world. A country’s annual births (i.e. The country’s population times its birthrate) were distributed across all of the populated locations in each country, weighted by the population distribution (i.e. More populated areas got a greater fraction of the births). Data Sources and... Source: 5 months ago
Chart.js - Easy, object oriented client side graphs for designers and developers.
AnyChart - Award-winning JavaScript charting library & Qlik Sense extensions from a global leader in data visualization! Loved by thousands of happy customers, including over 75% of Fortune 500 companies & over half of the top 1000 software vendors worldwide.
Plotly - Low-Code Data Apps
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
ZingChart - ZingChart is a fast, modern, powerful JavaScript charting library for building animated, interactive charts and graphs. Bring on the big data!
Google Charts - Interactive charts for browsers and mobile devices.
