
RVM
asdf-vm
RubyGems
ApexCharts
Ruby on Rails
Redis
Bootstrap
Tailwind CSS
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
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.
Plotly might be a bit more popular than RVM. We know about 34 links to it since March 2021 and only 28 links to RVM. 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.
Ruby (Installed using RVM, but you can use any other version manager, or compile yourself ruby). - Source: dev.to / almost 2 years ago
I checked build logs and found that bundle install was not working the same as it did on my machine. I installed rvm, tried multiple versions of ruby, attempted to upgrade various gems. Nothing worked. - Source: dev.to / about 2 years ago
One suggestion would be to setup your install based on a development environment using git and a Ruby version manager like rvm or rbenv to allows you to setup a user controlled gemset and execution path. Source: about 3 years ago
For my local machine, I use RVM (head). Other options are rbenv and asdf. Source: over 3 years ago
You can use tools like rbenv(https://github.com/rbenv/rbenv) and rvm(https://rvm.io/) to be able install and easily switch between different ruby versions. Source: over 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 / 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
asdf-vm - An extendable version manager
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.
RubyGems - RubyGems. org is the Ruby community's gem hosting service. Instantly publish your gems and then install them. Use the API find out more about available gems. Become a contributor and improve the site yourself.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
ApexCharts - Open-source modern charting library ๐
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.