
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
Orchard
Cowriter
Portfolio CMS
DEV.to
Lavalite
Grammarly
VuePress
Winkl
Plotly 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 Orchard. 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 / 6 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 / almost 2 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 / about 2 years ago
Have you looked into https://orchardcore.net ? Source: over 2 years ago
So I would look at https://orchardcore.net/ or https://www.oqtane.org/#home. Both are asp.net core, multiple DB support, open source, and have admin pages for user/role management. Oqtane uses Blazor for UI. Source: almost 4 years ago
I also tried the trials for Orchard Core (next to dotCMS) and I was not able to add additional "customers". However, this might be the case since some features are disabled during the demo. Source: almost 4 years ago
Maybe check this out https://orchardcore.net/. Source: about 4 years ago
Check out Orchard or just their Core libraries depending on what you need https://orchardcore.net/. 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.
Cowriter - Your AI buddy for speeding up creative writing
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Portfolio CMS - Portfolio CMS is an open-source, highly customized blog and CMS written in Redux and Rails API.
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.
DEV.to - Where software engineers connect, build their resumes, and grow.