Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
JSHint
RequireJS
npm
GNU Make
Ender
SonarQube
Webpack
MakeMe
Plotly
JSHintPlotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
JSHint is recommended for developers and teams seeking a lightweight and easy-to-configure linter for JavaScript projects. It is particularly useful for small to medium-sized projects and developers who prefer a quick setup without extensive configuration. However, for projects that require more sophisticated analysis or support for newer JavaScript features, exploring other tools like ESLint might be beneficial.
Based on our record, Plotly should be more popular than JSHint. It has been mentiond 34 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.
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 4 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / over 1 year 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 / about 2 years ago
Emerging as a fork of JSLint, JSHint was introduced to offer developers more configuration options. Despite this, it remains less flexible than ESLint, particularly in terms of rule customization and plugin support, limiting its adaptability to diverse project needs. The last release dates back to 2022. - Source: dev.to / almost 2 years ago
JSHint is a code-checking tool that'll save you loads of time finding stupid errors. Find a plugin for your text editor that will automatically run it on your code. - Source: dev.to / about 2 years ago
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: about 3 years 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: about 3 years ago
If you are coding for this sheet and you do not know about jshint.com ... Source: about 3 years ago
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.
RequireJS - RequireJS is a JavaScript file and module loader.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
npm - npm is a package manager for Node.
Tableau - Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
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.