
Chartist.js
D3.js
Chart.js
AnyChart
Highcharts
ZingChart
Google Charts
CanvasJS
Cachely.dev
nxCloud
Cachely is the managed self-hosted remote cache for Nx and Turborepo - the cache backend you'd otherwise build and run yourself, hosted for you on Cloudflare's edge (R2). It's a drop-in replacement for a DIY @nx/s3-cache / S3 bucket setup: point your build tool at Cachely with a token and two environment variables, and share build cache across CI and every developer's laptop.
Unlike a self-hosted cache, Cachely enforces read-only tokens at the API, so pull-request and fork builds can read but never write - closing the Nx cache-poisoning attack (CVE-2025-36852). It adds ROI reporting (the real build minutes and dollars the cache saved), per-tool insights, and build-optimization suggestions on top.
Pricing is a flat per-workspace subscription with no per-seat fees - add every developer, bot, and CI actor without watching the bill. Cachely never stores your source code; it caches only task outputs and their content hashes. Nx and Turborepo today; Bazel on the roadmap.
Chartist.js
Cachely.devChartist.js is recommended for developers who are building web applications that require dynamic data visualization but need a simple, straightforward tool. It is particularly well-suited for projects where responsiveness and customization are important, and where the performance impact of additional libraries needs to be minimized.
Based on our record, Chartist.js seems to be more popular. It has been mentiond 13 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.
Chartist is an amazing JS include that is tiny (10kb), that makes it super simple to create SVG charts. Itโs way undervalued and rarely gets updates. https://gionkunz.github.io/chartist-js/. - Source: Hacker News / 11 months ago
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 / over 2 years 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: about 3 years 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 / almost 4 years 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 / almost 4 years ago
D3.js - D3.js is a JavaScript library for manipulating documents based on data. D3 helps you bring data to life using HTML, SVG, and CSS.
nxCloud - nxCloud is a commercial OwnCloud provider
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.
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!