Based on our record, Hugo seems to be a lot more popular than Plotly. While we know about 354 links to Hugo, we've tracked only 29 mentions of 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.
At one point though I realized there is a scaling problem with my build minutes. I knew that golang has considerably faster builds and in my case the easy fix is swapping over to Hugo. - Source: dev.to / 23 days ago
This blog is running on Hugo. It had previously been running on Jekyll. Both these SSGs ship with the ability to create excerpts from your markdown content in 1 line or thereabouts. - Source: dev.to / 2 months ago
We also take a look into static site generators, covering Astro, Nuxt, Hugo, Gatsby, and Jekyll. We take a detailed look into their usability, performance, and community support. - Source: dev.to / 3 months ago
In that case, what we need would be closer to a static site generator (like Gatsby, Hugo, Jekyll). But, static site generators aren't the best choice either because we would have to build a lot of documentation-focused functionality (like versioning, search, and code blocks) ourselves. - Source: dev.to / 3 months ago
Hugo is a popular static site generator specifically designed to create websites and documentation lightning-fast. Its minimalist approach, emphasis on speed, and ease of use have made it popular among developers, technical writers, and anybody looking to construct high-quality websites without the complexity of typical CMS platforms. - Source: dev.to / 3 months ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 6 months ago
If your CEO wants you to solo build an alternative to Tableau, PowerBi, or even Plotly then consider him/her delusional. Source: 12 months ago
Python's pandas, NumPy, and SciPy libraries offer powerful functionality for data manipulation, while matplotlib, seaborn, and plotly provide versatile tools for creating visualizations. Similarly, in R, you can use dplyr, tidyverse, and data.table for data manipulation, and ggplot2, lattice, and shiny for visualization. These packages enable you to create insightful visualizations and perform statistical analyses... Source: about 1 year ago
I use plotly and like it a lot. It is slower though. Noticeable if you want to batch-generate a bunch of images and dump them into a folder. But that probably isn't the case most times. Source: about 1 year ago
Plotly Dash is a great framework for developing interactive data dashboards using Python, R, and Javascript. It works alongside Plotly to bring your beautiful visualizations to the masses. - Source: dev.to / over 1 year ago
Jekyll - Jekyll is a simple, blog aware, static site generator.
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.
Ghost - Ghost is a fully open source, adaptable platform for building and running a modern online publication. We power blogs, magazines and journalists from Zappos to Sky News.
Chart.js - Easy, object oriented client side graphs for designers and developers.
WordPress - WordPress is web software you can use to create a beautiful website or blog. We like to say that WordPress is both free and priceless at the same time.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application