
CodeMirror
ACE (Ajax Code Editor)
ProseMirror
Monaco Editor
ACE
Monaco
Sublime Text
Eloquent JavaScript
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
CodeMirror
PlotlyPlotly 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.
CodeMirror might be a bit more popular than Plotly. We know about 50 links to it since March 2021 and only 34 links to Plotly. 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.
The query editor in the Trigger.dev dashboard is built on CodeMirror 6 and uses a dual-parser architecture. - Source: dev.to / 5 months ago
CodeMirror โ lighter than Monaco, still powerful. - Source: dev.to / 7 months ago
CodeMirror is amazing these days, super lightweight compared to Monaco, and pretty extensible: https://codemirror.net/ For something non-browser, Iโm currently using Zed and itโs pretty good: https://zed.dev/. - Source: Hacker News / about 1 year ago
Scrappy co-creator here. Scrappy is local-first, so data is stored locally in your browser, and optionally replicated to a lightweight sync server, to help coordinate syncing between peers. In other words, Scrappy is almost entirely front-end. The only third-party dependencies are Yjs and CodeMirror . We donโt use any other libraries or frameworks like React. Thereโs no... - Source: Hacker News / about 1 year ago
Scrappy co-creator here. It was a surprise to us that this blew up on HN. We've hurriedly added an FAQ to the write-up. In regards to this question about the "Scrappy backend": Scrappy is local-first, so data is stored locally in your browser, and optionally replicated to a lightweight sync server, to help coordinate syncing between peers. In other words, Scrappy is almost entirely front-end. The only third-party... - Source: Hacker News / about 1 year 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 / 5 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
ACE (Ajax Code Editor) - Focused and built towards coders, web designers, and web builders, ACE (Ajax Code Editor) can help...
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.
ProseMirror - A toolkit for building rich-text editors on the web
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Monaco Editor - A browser based code editor
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.