D3.js
Chart.js
Highcharts
Plotly
Google Charts
AnyChart
RAWGraphs
CanvasJS
ToDesktop
Electron
Fluid
Unite for macOS
Coherence X
Appmaker
WebCatalog
Electron Toolkit
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. D3โs functional style allows code reuse through a diverse collection of official and community-developed modules.
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Based on our record, D3.js seems to be a lot more popular than ToDesktop. While we know about 175 links to D3.js, we've tracked only 4 mentions of ToDesktop. 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.
A third option for building stripes is a vector pattern employing D3. - Source: dev.to / 3 months ago
Libraries like D3.js (ISC license) and Chart.js (MIT license) render to SVG because charts need to be sharp at any zoom level and interactive โ tooltips on hover, clickable segments, animated transitions. A chart exported as PNG loses all of that. - Source: dev.to / 4 months ago
This is exactly the goal of the project-graph-generator project: scanning your sources to deduce a dependency graph and produce a simple HTML page using D3.js to display it. - Source: dev.to / 4 months ago
If you wanted to take this one step further, you could instead export the data and build an entire app around it using something like ApexCharts or D3 to create more interactive visualisations. You could even build a dashboard that tracks your performance over time across multiple races. Lots of interesting possibilities here as the data set is pretty rich. I highly recommend checking out the pyrox-client... - Source: dev.to / 4 months ago
That idea stuck with me: build the algorithm in a language where rendering the data structure is easy, then step through the construction visually. JavaScript and D3.js are a natural fit: the algorithm produces a tree, and D3 is very good at drawing trees. - Source: dev.to / 4 months ago
You may checkout todesktop.com if you want to offload these tasks. Source: over 3 years ago
We're looking to create something like todesktop.com with some additions. Source: over 4 years ago
Write a Rails app and wrap it with https://todesktop.com. Source: almost 5 years ago
I also came across flask-desktop, and todesktop.com which claim to be able to convert a flask app into a desktop app. I'm not sure how an https request would work there, but I'm considering looking into that as well. Source: about 5 years ago
Chart.js - Easy, object oriented client side graphs for designers and developers.
Electron - Build cross platform desktop apps with web technologies
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
Fluid - Turn Your Favorite Web Apps into Real Mac Apps.
Plotly - Low-Code Data Apps
Unite for macOS - Turn websites into native apps on your Mac.
