Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
Trizen
Yay
pikaur
Aura Soundscape Player
paru
Pakku
aurutils
pacman (package manager)
Plotly
TrizenPlotly 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, Plotly seems to be a lot more popular than Trizen. While we know about 34 links to Plotly, we've tracked only 1 mention of Trizen. 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.
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
As a side note, I use the trizen AUR helper program to install AUR packages because one of it's nice features over yay, etc, is that it by default shows the content of the PKGBUILD and any other files (patches etc) for an AUR package, so you can see or edit them before installing a package. Source: about 5 years ago
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.
Yay - Yay is an AUR helper written in go, based on the design of yaourt, apacman and pacaur.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
pikaur - AUR helper with minimal dependencies. Review PKGBUILDs all in once, next build them all without user interaction.Inspired by pacaur, yaourt and yay.
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.
Aura Soundscape Player - Modern tools for modern applications.