Midnight Commander is highly recommended for users who are comfortable working in command-line environments. It is particularly suitable for system administrators, developers, and power users who need a reliable and efficient file management tool with advanced features like remote file system browsing.
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.
Plotly might be a bit more popular than Midnight Commander. We know about 33 links to it since March 2021 and only 28 links to Midnight Commander. 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.
Dired as a cross-platform file manager. I used to use Midnight Commander but I found it buggy in the end (on MacOS). Since investing time in learning dired it's good enough. - Source: dev.to / 6 months ago
Midnight Commander is a good TUI file manager. https://midnight-commander.org/. - Source: Hacker News / about 1 year ago
Was there something before https://midnight-commander.org/ or was that the OG? - Source: Hacker News / almost 2 years ago
Just use mc (midnight commander) it not only is a terminal based file manager but it will give you the command lines used to do so GNU MIDNIGHT COMMANDER. Source: about 2 years ago
Given that you can run shells in Emacs since those are text too, Emacs ends up becoming almost like a Lisp-powered tmux or mc. Source: about 2 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
Double Commander - Double Commander is a cross-platform open source file manager with two panels side by side.
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.
Total Commander - A Shareware file manager for Windows® 95/98/ME/NT/2000/XP/Vista/7, and Windows® 3.1.
Chart.js - Easy, object oriented client side graphs for designers and developers.
FreeCommander - FreeCommander is an easy-to-use alternative to the standard windows file manager. The program helps you with daily work in Windows. Here you can find all the necessary functions to manage your data stock.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...