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 GNOME Terminal. While we know about 33 links to Plotly, we've tracked only 2 mentions of GNOME Terminal. 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.
So far I have only seen information that ncurses is a package you would use to write applications for various terminals; what about the terminals themselves? Not only terminal emulators but the actual terminal of something like Ubuntu Server, which I believe to be gnome-terminal. Source: almost 3 years ago
Iterm2, gnome terminal, xterm, Konsole, macos Terminal, powershell, command, etc.. these all provide a common API which we normally use curses to interface with. But all of them basically reach into something lower level (opengl, vulkan, directx, etc.) to render the text, which ultimately is still pixels on a screen. Source: over 3 years 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 / 3 months 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 / 5 months 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 / 7 months 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 1 year ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
MobaXterm - Enhanced terminal for Windows with X11 server, tabbed SSH client, network tools and much more
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.
PuTTY - Popular free terminal application. Mostly used as an SSH client.
Chart.js - Easy, object oriented client side graphs for designers and developers.
ConEmu - ConEmu-Maximus5 is a full-featured local terminal for Windows devs, admins and users. Get better console window with tabs, splits, Quake style, copy+paste, DosBox and PuTTY integration, and much more.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...