Plotly might be a bit more popular than Hexo. We know about 29 links to it since March 2021 and only 20 links to Hexo. 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.
There's also hexo [1]. I saw that on Matt Klein's website [2] and the theme looked pretty clean. [1] https://hexo.io [2] https://mattklein123.dev/2020/03/08/2020-03-07-new-website/. - Source: Hacker News / 4 months ago
In my case, the latter is not possible because this blog is a static site, generated via Hexo and hosted on GitHub. It simply lacks a modifiable active server component. - Source: dev.to / 6 months ago
Previously I've used Nuxt2 and even sooner - hexo.io. Source: over 1 year ago
To make their creation easier, numerous open-source static websites generators are available: Jekyll, Hugo, Gatsby, Hexo, etc. Most of the time, the content is managed through static (ideally Markdown) files or a Content API. Then, the generator requests the content, injects it in templates defined by the developer and generates a bunch of HTML files. - Source: dev.to / over 1 year ago
There are also many alternatives for selecting Static-Side Generating blog framework such as Hexo, Gatsby, Next.js (more details here). We will pick Hexo as our framework because it is a fast, simple & powerful blog framework. - Source: dev.to / about 2 years 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: about 1 year 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
Hugo - Hugo is a general-purpose website framework for generating static web pages.
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.
GatsbyJS - Blazing-fast static site generator for React
Chart.js - Easy, object oriented client side graphs for designers and developers.
Jekyll - Jekyll is a simple, blog aware, static site generator.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application