
Cairo-Dock
DockbarX
Synapse
Gnome-Pie
RocketDock
Gnome Do
Launchy
Ulauncher
Plotly
D3.js
RAWGraphs
Tableau
Highcharts
Google Charts
Bokeh
Chart.js
Cairo-Dock
PlotlyCairo-Dock is recommended for Linux users who prefer customizable desktop environments. It is particularly suitable for users who enjoy tweaking and personalizing their user interfaces. It is also a good choice for those who want to replicate the dock experience found in macOS on their Linux systems.
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.
Based on our record, Plotly seems to be a lot more popular than Cairo-Dock. While we know about 34 links to Plotly, we've tracked only 3 mentions of Cairo-Dock. 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.
Have you tried Cario-Dock? Its not a native KDE app, but it does support KDE integration. I installed it on KDE Neon after the Latte Dock announcement. No crashes, and it has a lot of features. Source: over 3 years ago
If you like Macs, the dock program Cairo-Dock has a bunch of built in themes, including one to look like the OSX style dock with the cool reflections: https://glx-dock.org. Source: over 3 years ago
The closest thing you can do this is with cairo dock. It take some time, to customize it to make it look like what you see in the picture. It was a trend a decade ago, but not sure how much the package is maintained right now. For alternative you can check out docky which works pretty well with Gnome and its cousins, and if you are using KDE I better advice you to stick with latte dock. Source: over 4 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
DockbarX - DockbarX is a standalone dock that groups and launches applications.
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.
Synapse - Synapse is a semantic launcher written in Vala that you can use to start applications as well as find and access relevant documents and files by making use of the Zeitgeist engine.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Gnome-Pie - Gnome-Pie is a circular application launcher for Linux.
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.