Hosted.MD
Forestry
Stackbit
Docpress
docwriter.io
markdown to web
Matplotlib
Pandas
NumPy
Seaborn
D3.js
Plotly
GnuPlot
Jupyter
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.
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Based on our record, Matplotlib seems to be a lot more popular than Hosted.MD. While we know about 114 links to Matplotlib, 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
In February, an AI agent named MJ Rathbun submitted a pull request to matplotlib โ the Python plotting library used by half the scientific computing world. Scott Shambaugh, a volunteer maintainer, rejected it. Standard code review. Nothing unusual. - Source: dev.to / 4 months ago
Numbers are useful, but sometimes itโs easier to spot patterns when you can actually see your data. Pandas works seamlessly with Matplotlib, a popular Python library for creating visualizations. Together, they make it easy to turn raw numbers into clear charts. - Source: dev.to / 7 months ago
We are storing the results in JSON files, which we combine, analyze and visualize using matplotlib in Python. Here's the structure of a benchmark result file:. - Source: dev.to / 8 months ago
NetworkX and Matplotlib were used to visualize the graph structure of the agent. - Source: dev.to / 9 months ago
The book introduces the core libraries essential for working with data in Python: particularly IPython, NumPy, Pandas, Matplotlib, Scikit-Learn, and related packages Familiarity with Python as a language is assumed; if you need a quick introduction to the language itself, see the free companion project, Aโฆ. - Source: dev.to / 10 months ago
Forestry - Business Tools, Support, Sales, and Marketing, and Self-Hosted Blogging / CMS
Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.
Stackbit - Build Modern JAMstack Websites in Minutes. Combine any Theme, Site Generator and CMS without complicated integrations.
NumPy - NumPy is the fundamental package for scientific computing with Python
Docpress - Painless Markdown publishing Documentation website generator.
Seaborn - Seaborn is a Python data visualization library that uses Matplotlib to make statistical graphics.
