Based on our record, Plotly seems to be a lot more popular than JSPM. While we know about 30 links to Plotly, we've tracked only 2 mentions of JSPM. 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've been working on some updates that will allow Deno to easily import npm packages and make the vast majority of npm packages work in Deno within the next three months. This is really huge and will be a huge boost to the Deno ecosystem. On the other hand, I quite enjoyed that it wasn't jacked into NPM. There were reasonable alternatives like https://jspm.org/. This is a big swing at Node and I'll be watching... - Source: Hacker News / almost 2 years ago
But I really want to make it clear that I'm so incredibly proud of this project and the people who have contributed to it. Snowpack meaningfully pushed the entire web development industry forward, and that's pretty cool. Even if you never use Snowpack directly, the work that we pioneered around npm package handling for ESM is already being built on and improved on across the entire web tooling landscape in... - Source: dev.to / almost 3 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 / 6 days 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
RequireJS - RequireJS is a JavaScript file and module loader.
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.
npm - npm is a package manager for Node.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Webpack - Webpack is a module bundler. Its main purpose is to bundle JavaScript files for usage in a browser, yet it is also capable of transforming, bundling, or packaging just about any resource or asset.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application