Hosted.MD
Forestry
Stackbit
Docpress
docwriter.io
markdown to web
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
hosted.md is a simple, fast, and flexible static site hosting platform built around Markdown. It allows writers, bloggers, and small teams to turn plain Markdown files into beautiful, SEO-friendly websites with no coding required.
Users can write content using their favorite Markdown editor or through our web interface, then publish instantly. The platform handles everything from static site generation and theming to hosting and custom domains. Itโs designed to remove the complexity of traditional CMSs and the technical barrier of static site generators.
Whether you're creating a personal blog, a long-form writing project, or lightweight documentation, hosted.md gives you full control over your content and structure. Every site is served from a global CDN for speed and reliability, with clean URLs and optimized performance by default.
Our goal is to make independent publishing easier for everyone by combining the clarity of Markdown with a hosting experience that just works. With hosted.md, publishing on the web is no longer a technical hurdle-itโs as easy as writing.
Hosted.MD 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.
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Based on our record, Plotly seems to be a lot more popular than Hosted.MD. While we know about 34 links to Plotly, we've tracked only 1 mention of Hosted.MD. 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.
We're currently in a closed beta to ensure everything is perfect. Join our waitlist for early access and be one of the first to launch your site with hosted.md! - 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 / 4 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
Forestry - Business Tools, Support, Sales, and Marketing, and Self-Hosted Blogging / CMS
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.
Stackbit - Build Modern JAMstack Websites in Minutes. Combine any Theme, Site Generator and CMS without complicated integrations.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Docpress - Painless Markdown publishing Documentation website generator.
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.