
Challonge
smash.gg
Score7
BinaryBeast
BracketPrint
SportsEngine
Competize
Tournament Bracket Management Service
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
Challonge
PlotlyPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
Challonge might be a bit more popular than Plotly. We know about 44 links to it since March 2021 and only 34 links to Plotly. 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.
I've had success with https://challonge.com/. Source: almost 3 years ago
There is now an exporter for two common esports tournament websites https://challonge.com and https://start.gg . To try out the exporter, check out the link in our latest tweet. Source: almost 3 years ago
Checkout https://challonge.com/ Everyone can check in from their phone browser and see their standings. Not sure if they have an app or not, but I've used this in the past and it bangs. Source: almost 3 years ago
There's a site called Challonge that I've used before. Source: about 3 years ago
Donโt bother with grafanaโฆ use this https://challonge.com/. Source: about 3 years ago
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
smash.gg - An esports platform empowering bottoms-up growth of competitive communities with value-add services...
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.
Score7 - Score7.io is an easy, fast, and fair tournament management tool that lets anyone create, run, and share sports or esports competitions, brackets, leagues, schedules, live scores; without complexity, so organizers can focus on the game, not the admin
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
BinaryBeast - BinaryBeast is the premiere tournament management platform enabling gamers to create, manage and...
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.