Binder VS D3.js
Compare Binder VS D3.js and see what are their differences
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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.
BinderBased on our record, D3.js should be more popular than Binder. It has been mentiond 159 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.
The closest Python equivalent to RStudio is the JupyterLab Desktop app[1,2], which I highly recommend. I've entirely switched to using it for teaching, and it is a godsend, since it works the same way across platforms (win/mac/linux), installs its own Python interpreter independent of any system Python the student might have, and even comes with NumPy/SciPy/Pandas/Seaborn/statsmodels already installed, which... - Source: Hacker News / about 2 months ago
Binder - Turn a Git repo into a collection of interactive notebooks. It is a free public service. - Source: dev.to / 3 months ago
I would use https://mybinder.org/ if you can't install anything. It's supported by NumFocus but otherwise runs on donations. You specify requirements in code and they build a docker image from your github repository. I think they should be able to download their notebook and submit it to you - it's been awhile since I used it. But I think they need to have a single person doing the typing. Source: 6 months ago
You can use Binder https://mybinder.org . If the students have Gmail account, try Google Colab. Pretty easy to use. - Source: Hacker News / 7 months ago
Do you have an example of how this works with another tool/language? I don't know if I understood it correctly but maybe you could: - Upload your notebook to Github, then create a url with Binder (part of the jupyter ecosystem) directly to an editing/fiddling playground: https://mybinder.org/ - If by user-local you mean on their own machine, they can clone your repo and run their own jupyterlab to fiddle - If... - Source: Hacker News / 11 months 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 / 19 days ago
d3 - very power visualization library enabling dynamic visualizations. docs. - Source: dev.to / about 1 month 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 / 3 months ago
They are images so it could be any number of things, datawrapper, charts.js, d3.js to name a few options. Source: 5 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
Jupyter - Project Jupyter exists to develop open-source software, open-standards, and services for interactive computing across dozens of programming languages. Ready to get started? Try it in your browser Install the Notebook.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Workomo - Find out everything about people before you meet
Plotly - Low-Code Data Apps
nbviewer.org - Rackspace server host Jupyter Notebooks from your github repo
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application