
GoRails
Vidrio
Ruby on Rails
Screencastify
Ruby Weekly
Scrimba
Laracasts
SketchCasts
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Plotly 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.
GoRails might be a bit more popular than Plotly. We know about 41 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.
GoRails: https://gorails.com/ Beyond just tutorials, GoRails provides high-quality screencasts and guides on modern Rails development, including Hotwire, Turbo, Stimulus.js, and PostgreSQL. It’s an excellent platform for staying current with cutting-edge Ruby on Rails web development practices. - Source: dev.to / about 1 year ago
Can only encourage you, I'm mostly working with Go but all my side projects are with Rails which I've only started a few years ago. It's a lot of fun. I'm not a big fan of watching tutorials, but more of learning by doing but I signed up for https://gorails.com when I started out and it was very helpful to get an overview. - Source: Hacker News / over 1 year ago
I'd recommend a https://gorails.com subscription and just start building something. You'll get up to speed in no time. - Source: Hacker News / about 2 years ago
So there you have it, folks! With Rails Guides, GoRails, and RubyCademy by your side, you'll be slinging code like a seasoned pro in no time. - Source: dev.to / over 2 years ago
- [GoRails](https://gorails.com/) - the annual plan is 36% off Regarding the GH repos you mentioned, these list many other deals:. - Source: Hacker News / almost 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 / 6 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 / almost 2 years 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
Vidrio - Holographic screencasting app for Mac. Free for COVID-19
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.
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Screencastify - Free screen recorder extension for Chrome. Capture, edit and share screencasts. No software download required. Works on Mac, Windows and Chromebooks. Screen RecorderFree screen recorder for Chrome.
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.