
Neovim
VS Code
Vim
Notepad++
Sublime Text
GNU Emacs
Geany
VSCodium
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
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, Neovim should be more popular than Plotly. It has been mentiond 117 times since March 2021. 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.
Editors: I use Neovim with LazyVim as my default editor. I still use Visual Studio Code depending on the project and what I am testing. - Source: dev.to / 4 months ago
My toolkit involves Neovim, Sidekick and Opencode. Former two are not important for this article, but the latter is the real game changer. - Source: dev.to / 4 months ago
That sentence contains the entire argument for terminal agents. The editor is wherever you want it to be. It can be Neovim on a remote dev box, VS Code on a laptop, Helix in a tmux session, or no editor at all if you're doing a batch migration. The agent doesn't care. It operates on files, not on buffers. - Source: dev.to / 5 months ago
Learn and use Neovim. ❌ I tried, but then I switched to zed. - Source: dev.to / 8 months ago
Then came Vim a game changer. Learning Vim bindings wasn’t easy at first, but once I got the hang of them, I felt completely in control. Every movement, every edit all from the keyboard. It keeps me focused, fast, and deeply engaged in my work.After mastering Vim, I wanted to take things further. That’s when I discovered Neovim, a modern fork of Vim packed with colors, themes, and powerful plugins. I decided to... - Source: dev.to / 11 months 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 / 6 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 / almost 2 years 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
VS Code - Build and debug modern web and cloud applications, by Microsoft
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.
Vim - Highly configurable text editor built to enable efficient text editing
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Notepad++ - A free source code editor which supports several programming languages running under the MS Windows environment.
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.