StackEdit
Typora
Dillinger
Markdown by DaringFireball
MarkdownPad
iA Writer
Rentry.co
MacDown
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
StackEdit is highly recommended for writers, bloggers, developers, and students who frequently work with markdown files and need a powerful editor that can integrate with cloud storage services while providing collaboration features.
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, StackEdit should be more popular than Plotly. It has been mentiond 52 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.
- Not sure if I want auto-save (see above) This is another local-first editor I would prefer using (no install required): https://stackedit.io --- I also prefer installing via brew. Otherwise macOS doesn't allow you to run the app (because it's not signed?). I think homebrew signs the app for you. --- I don't think I would have tried MarkNote if it didn't have the free tier, given other editors are sufficient for... - Source: Hacker News / 6 months ago
Https://daringfireball.net/projects/markdown/syntax#philosophy "Markdown-formatted document should be publishable as-is, as plain text, without looking like it’s been marked up with tags or formatting instructions." Any text editor (Notepad, TextPad, (neo)vi(m), Emacs, TextMate, Apostrophe, GhostWriter, Typora, etc.) will do. Markdown-specific editors have either a real-time preview or the ability to edit as... - Source: Hacker News / over 1 year ago
StackEdit: An open-source, free Markdown editor based on PageDown. - Source: dev.to / almost 2 years ago
Alternatively, you can use an online markdown editor like StackEdit or HackMD. - Source: dev.to / over 2 years ago
Use https://stackedit.io/ in the browser :). Source: almost 3 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 / 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
Typora - A minimal Markdown reading & writing app.
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.
Dillinger - joemccann has 95 repositories available. Follow their code on GitHub.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Markdown by DaringFireball - Text-to-HTML conversion tool/syntax for web writers, by John Gruber
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.