Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Composer
jQuery
React Native
Babel
OpenSSL
Raven.js
Symfony
jQuery UI
Plotly
ComposerPlotly 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.
Based on our record, Composer should be more popular than Plotly. It has been mentiond 152 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 / 5 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
It's very confusing that they use the same name as the very well known PHP package manager, composer https://getcomposer.org/. - Source: Hacker News / 3 months ago
I'm embarrassed I never took the time to understand Composer until now. I have been preaching for a long time to start each PHP project with Composer, even when the project is not going end up on Packagist. - Source: dev.to / 3 months ago
Waaseyaa is a monorepo. The root composer.json defines 43 subpackages under packages/, each referenced as a path repository with @dev constraints. During development, this is convenient. Composer resolves everything locally, and you never think about versioning. - Source: dev.to / 5 months ago
(P)NPM is an outlier in this behavior compared to package managers of other languages. With package managers like Composer (PHP), pip (Python) and NuGet (.NET) dependencies are by default peer dependencies. That means that in those package managers it is not possible to have multiple versions of the same dependency in your application1. - Source: dev.to / 9 months ago
Download from getcomposer.org and follow installation instructions. - Source: dev.to / 10 months 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.
jQuery - The Write Less, Do More, JavaScript Library.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
React Native - A framework for building native apps with React
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.
Babel - Babel is a compiler for writing next generation JavaScript.