ASP.NET
Ruby on Rails
Django
Node.js
Laravel
ExpressJS
Flask
Meteor
Plotly
D3.js
RAWGraphs
Tableau
Google Charts
Highcharts
Bokeh
Chart.js
ASP.NET
Plotly{"enterprises" => "Ideal for enterprise-level applications requiring high security, performance, and scalability.", "developers_with_c#" => "Highly suitable for developers with a background in C#, offering seamless integration with existing .NET applications.", "large_web_applications" => "Perfect for developing large web applications, API services, and microservices.", "teams_using_microsoft_stack" => "Best for development teams already using the Microsoft technology stack, including Azure services."}
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.
Plotly might be a bit more popular than ASP.NET. We know about 34 links to it since March 2021 and only 26 links to ASP.NET. 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.
Based on libuv, the library that significantly influenced Node.js, Microsoft modernized the aging ASP.NET with ASP.NET Core starting in 2014. Later, Kestrel, a .NET-based engine, was added as a modern foundation. Minimal APIs marked ASP.NET Coreโs arrival in modern web development in 2021. - Source: dev.to / 8 months ago
Learn how to integrate n8n workflows into ASP.NET Core applications. API integration guide for triggering automations from your C# backend. - Source: dev.to / 8 months ago
In the Microsoft world, it is the direct equivalent of ASP.NET Core. Phoenix is known for high developer productivity and exceptional application performance. - Source: dev.to / 9 months ago
Why Use .NET for Microservices? There are many reasons why .NET is a solid choice for microservices development. Cross-platform support: Using .NET Core and the newer .NET versions (6, 7, and 8), you can deploy your services across Windows, Linux, and macOS platforms. This is useful when deploying to cloud environments like Azure, AWS, or even on-premises. Performance: .NET is known for its high performance. It... - Source: dev.to / about 1 year ago
Most of the books teach C# and .NET, ASP.NET, Blazor, or T-SQL. I also found some .NET-specific coverage of wider topics: architecture and design, concurrency, automated tests, functional programming, and dependency injection. - Source: dev.to / over 1 year ago
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
Ruby on Rails - Ruby on Rails is an open source full-stack web application framework for the Ruby programming...
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.
Django - The Web framework for perfectionists with deadlines
RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...
Node.js - Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications
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.