Based on our record, Plotly should be more popular than JSHint. It has been mentiond 29 times since March 2021. 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.
Also, if you are going to code for this sheet and do not know about the website jshint.com, you need to know about jshint.com. Source: 11 months ago
There is an error in some file. Or maybe some wine shenanigans (never used it). You can try searching for the file item-possessionLimit.js and paste it into something like https://jshint.com/ to get an analysis and try to fix it. But it might give you further errors or file might be packed somewhere. Source: 11 months ago
If you are coding for this sheet and you do not know about jshint.com ... Source: about 1 year ago
I came across a problem where I had to find the ES6 features used by any javascript project and other data regarding their use. When I reached out to stackoverflow, I could find only one relevant post which asks you to use linters like jshint/jshint or compilers like babel. Jslint didn't seem to report anything specific to ES6 and Babel converts all the ES6+ features to ES5 but doesn't report anything regarding... - Source: dev.to / over 1 year ago
Javascript Linting parses and checks if any syntax is violating the rule. If a violation occurs, a warning is shown explaining unexpected behavior. Use the online version for small projects: JSLint, ESLint or JSHint. For larger projects, it is recommended to use a task runner like Gulp or Grunt. Linters ensure developers are following the best practices as a result of which few bugs appear during project development. - Source: dev.to / over 1 year ago
For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: 5 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
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.
GNU Make - GNU Make is a tool which controls the generation of executables and other non-source files of a program from the program's source files.
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application