
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Plotly.js
D3.js
Highcharts
Chart.js
Matplotlib
Google Charts
amCharts
Chartist.js
Plotly
Plotly.jsPlotly 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, Plotly should be more popular than Plotly.js. 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 / 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
Plotly.js - Open-source JavaScript charting library behind Plotly and Dash. - Source: dev.to / over 1 year ago
Well, MathML[1] support is (nearly) everywhere now, and as the docs say: MathML Core is a subset with increased implementation details based on rules from LaTeX and the Open Font Format. It is tailored for browsers and designed specifically to work well with other web standards including HTML, CSS, DOM, JavaScript. I don't have a lot of experience working with this stuff (yet) but if you can script your... - Source: Hacker News / about 3 years ago
Plotly offers multiple options (python, R, javascript). The weby stuff is done with plotly.js and uses d3.js underneath - https://github.com/plotly/plotly.js. - Source: Hacker News / over 3 years ago
So you didn't use Django DRF as the backend? I'm just curious how Dash communicated with Django - did it communicate via plain HTTP calls? I guess you ran non-React Plotly.js (https://github.com/plotly/plotly.js)? Source: about 5 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.
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application
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.
Chart.js - Easy, object oriented client side graphs for designers and developers.
Google Charts - Interactive charts for browsers and mobile devices.