D3.js
Chart.js
Highcharts
Plotly
Google Charts
AnyChart
RAWGraphs
CanvasJS
SofaScore
FlashScore
FotMob
LiveScore
365scores
Goal.com
LiveScore: Live Sport Updates
Eurosport
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.
SofaScoreBased on our record, D3.js seems to be a lot more popular than SofaScore. While we know about 175 links to D3.js, we've tracked only 8 mentions of SofaScore. 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 / 4 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 / 5 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 / 5 months ago
I'm pretty new to webscraping. I'm using selenium python to scrape sofascore.com for live sports scores. I'm only scraping one page (/favorites) and calling find_elements() about 15 times (I had planned for it to run every 30 seconds, but it could be less often if need be). I wrote all this last night and this morning found that my IP address was banned from sofascore. I hadn't taken any precautions to prevent... Source: almost 3 years ago
Nothing too crazy here, but I took the match ratings from sofascore.com (https://www.sofascore.com/tournament/football/world/world-cup/16), and averaged out every team to see who was must-see tv and who, uh, wasn't. This is less about finding out which teams were the best and more about finding out which teams were high-event/chaotic. Source: over 3 years ago
I used SofaScore as my source for red cards received during the last world cup tournaments from 1974, when red cards were officially used for the first time. There is also a complete list on Wikipedia. Source: over 3 years ago
Sofascore.com a good one. Always has the line ups out 1 hour before K.O. Source: over 4 years ago
I've looked up on sofascore.com for his heatmap and here's what I've found:. Source: over 4 years ago
Chart.js - Easy, object oriented client side graphs for designers and developers.
FlashScore - Flash Score offers live score service for 5000+ competitions from 30 sports.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
FotMob - The best LIVE-coverage available. News feed, tables and much more.
Plotly - Low-Code Data Apps
LiveScore - Application that comes directly from LiveScore Ltd.
