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We recommend LibHunt Ruby for discovery and comparisons of trending Ruby projects. Also, to find more open-source ruby alternatives, you can check out libhunt.com/r/rails
Ruby on Rails
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.
Based on our record, Ruby on Rails should be more popular than Plotly. It has been mentiond 151 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.
Phoenix is a framework for Elixir, the same way Rails is a framework for Ruby. Its mission is to be a productive framework that doesn't compromise on speed or maintainability. - Source: dev.to / 3 months ago
Laravel, Rails, and Django remain the most battle-tested full-stack frameworks in 2026. - Source: dev.to / 5 months ago
"Empty barrels always make the most sound" says my co-national Alborosie in Poser, and I thought this would not apply to DHH, the creator of Ruby on Rails, because he is not only noisy about his opinions, he is friggin loud as f***. - Source: dev.to / 7 months ago
Kamal is a deployment tool created by DHH, the creator of Ruby on Rails. As stated in their website:. - Source: dev.to / 7 months ago
Django needs a marketing push. I opened the website and immediately it smells like a 2011 web framework. Like CakePHP. Like Zend. Like Kohana. The site makes the project feel extremely dated, which of course I have no idea how true that is, I've never used Django! Just my 2c from an outsider. I compare it to Phoenix and Rails. (again, talking PURELY marketing here dudes!) https://www.phoenixframework.org/... - Source: Hacker News / 8 months 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 / 5 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
Django - The Web framework for perfectionists with deadlines
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.
Laravel - A PHP Framework For Web Artisans
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
ASP.NET - ASP.NET is a free web framework for building great Web sites and Web applications using HTML, CSS and JavaScript.
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.