Software Alternatives, Accelerators & Startups

Plotly VS ASP.NET Core

Compare Plotly VS ASP.NET Core and see what are their differences

Plotly logo Plotly

Low-Code Data Apps

ASP.NET Core logo ASP.NET Core

With ASP.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • ASP.NET Core Landing page
    Landing page //
    2023-08-18

Plotly features and specs

  • Interactivity
    Plotly offers highly interactive plots that allow users to pan, zoom, and hover over data points for more information. This enhances the user experience and provides deeper insights.
  • High-quality visualizations
    It provides aesthetically pleasing and highly customizable charts, making it suitable for publication-quality visuals.
  • Versatility
    Plotly supports multiple chart types including line charts, scatter plots, bar charts, and 3D plots, making it suitable for a wide range of applications.
  • Python integration
    Plotly is well-integrated with Python and works seamlessly with other popular data science libraries like Pandas, NumPy, and Scikit-learn.
  • Web-based
    The plots can be easily embedded in web applications or dashboards, making it ideal for sharing insights over the internet.
  • Open-source
    Plotly offers an open-source version, which allows users to create and share visualizations without any cost.

Possible disadvantages of Plotly

  • Performance
    Rendering very large datasets can sometimes be slow, which may not be suitable for real-time data visualization requirements.
  • Learning curve
    Even though the library is well-documented, the extensive range of features can have a steep learning curve for beginners.
  • Cost for advanced features
    While the basic functionality is free, more advanced features, such as export to certain formats and additional customizable options, require a paid subscription.
  • Dependency management
    Plotly has a number of dependencies that need to be managed properly, which can sometimes complicate the setup process.
  • Complexity
    For simple visualizations, Plotly might be overkill and simpler libraries like Matplotlib or Seaborn could be more appropriate.

ASP.NET Core features and specs

  • Cross-Platform Support
    ASP.NET Core is a cross-platform framework, which means you can run your applications on Windows, macOS, and Linux. This flexibility allows developers to target a wider range of environments without being locked into a single operating system.
  • High Performance
    ASP.NET Core is known for its high performance, being built from the ground up to optimize speed and scalability. It uses a modular framework architecture and supports asynchronous programming, making it suitable for modern, high-traffic applications.
  • Unified MVC and Web API Frameworks
    In ASP.NET Core, MVC and Web API frameworks are unified into a single framework, simplifying the development model for building web and API-based applications.
  • Dependency Injection
    Built-in support for dependency injection simplifies the management of dependencies across the application, promoting cleaner architecture and testability.
  • Open Source and Community Support
    ASP.NET Core is open source and has a strong community around it. This means that developers have access to the source code and can contribute to its development. It also benefits from continuous improvements driven by community feedback.
  • Cloud Integration
    ASP.NET Core is designed with cloud deployment in mind, providing features and templates for streamlined integration with cloud platforms such as Azure.

Possible disadvantages of ASP.NET Core

  • Learning Curve
    While powerful, ASP.NET Core can have a steep learning curve for developers new to the framework or web development in general, due to its comprehensive set of features and tools.
  • Maturity of Third-Party Libraries
    Compared to the .NET Framework, some third-party libraries may not be fully mature or offer as many features, given that ASP.NET Core is a more recent platform.
  • Frequent Updates
    ASP.NET Core has a fast release cycle, which can be challenging for developers to keep up with. Frequent updates can mean regular changes to the framework that might require adjustments in application code.
  • Limited Windows-Specific Technology Support
    Some Windows-specific technologies and libraries might have limited or no support in ASP.NET Core, which can be a disadvantage for applications heavily reliant on those technologies.

Analysis of Plotly

Overall verdict

  • Overall, Plotly is a strong choice for those looking to create dynamic and interactive data visualizations, thanks to its range of features and ease of integration with web technologies.

Why this product is good

  • Plotly is considered good because it offers a comprehensive suite of tools for creating interactive visualizations that can be used in web applications, reports, and dashboards. It supports many different types of plots, is easy to use for both beginners and experienced developers, and integrates well with popular programming languages like Python, R, and JavaScript.

Recommended for

    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 videos

Create Real-time Chart with Javascript | Plotly.js Tutorial

More videos:

  • Review - Introducing plotly.py 3.0
  • Review - Is Plotly The Better Matplotlib?
  • Tutorial - Plotly Tutorial 2021
  • Review - Data Visualization as The First and Last Mile of Data Science Plotly Express and Dash | SciPy 2021

ASP.NET Core videos

Intro to ASP.NET Core Razor Pages - From Start to Published

Category Popularity

0-100% (relative to Plotly and ASP.NET Core)
Data Visualization
100 100%
0% 0
Web Frameworks
0 0%
100% 100
Charting Libraries
100 100%
0% 0
Developer Tools
0 0%
100% 100

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Plotly and ASP.NET Core

Plotly Reviews

Best 8 Redash Alternatives in 2023 [In Depth Guide]
Plotly is specifically designed for companies who want to build and deploy analytic applications like dashboards using Python, Julia, or R without needing DevOps or Javascript developers.
Source: www.datapad.io
5 Best Python Libraries For Data Visualization in 2023
Plotly is a web-based data visualization toolkit that comes with unique functionalities such as dendrograms, 3D charts, and also contour plots, which is not very common in other libraries. It has a great API offering scatter plots, line charts, bar charts, error bars, box plots, and other visualizations. Plotly can even be accessed from a Python Notebook.
Top 8 Python Libraries for Data Visualization
Plotly is a free open-source graphing library that can be used to form data visualizations. Plotly (plotly.py) is built on top of the Plotly JavaScript library (plotly.js) and can be used to create web-based data visualizations that can be displayed in Jupyter notebooks or web applications using Dash or saved as individual HTML files. Plotly provides more than 40 unique...
5 top picks for JavaScript chart libraries
Plotly is a graphing library thatโ€™s available for various runtime environments, including the browser. It supports many kinds of charts and graphs that we can configure with a variety of options.

ASP.NET Core Reviews

Top 5 Flutter Alternatives for Cross-Platform Development
As for performance, both ASP.NET and Flutter perform really well. For ASP.NET Core, itโ€™s partly due to the lightweight and efficient Kestrel web server. Flutterโ€™s speed is thanks to the Dart VM and Ahead-of-Time (AOT) compilation.
Source: www.miquido.com
Exploring 15 Powerful Flutter Alternatives
ASP.NET Core is an open-source and cross-platform framework for building modern cloud-enabled web apps on Windows, Mac, and Linux. One unique capability ASP.NET Core introduces relates to scalability. The framework provides native integration with cloud platforms like Azure that allow web apps to scale up or out to potentially even millions of users with no code...

Social recommendations and mentions

Based on our record, Plotly should be more popular than ASP.NET Core. 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.

Plotly mentions (34)

  • How to Analyze 47 Million Hacker News Posts: A Data Scientist's Dream Dataset Just Got Better
    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
  • Python for Data Visualization: Best Tools and Practices
    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
  • Generative AI Powered QnA & Visualization Chatbot
    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
  • Build a Stock Dashboard in less than 40 lines of Python code!๐Ÿค“
    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
  • Essential Deep Learning Checklist: Best Practices Unveiled
    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
View more

ASP.NET Core mentions (5)

  • The Case For Go Backends
    However, usage of a C# framework like ASP .NET Core or a Java framework like OfficeFloor are more than capable in the right hands. The key is to understand the tradeoffs of each language and framework, and to choose the right tool for the job. - Source: dev.to / over 3 years ago
  • Exploring Xperience By Kentico: Introductions
    The administration UI is now built on React and ASP.NET Core which means it's fast ๐Ÿš€! - Source: dev.to / almost 4 years ago
  • Trying to learn ASP.NET core, but confused by the documentation
    Per https://dotnet.microsoft.com/en-us/learn/aspnet/what-is-aspnet-core, "ASP.NET Core is the open-source version of ASP.NET, that runs on macOS, Linux, and Windows. ASP.NET Core was first released in 2016 and is a re-design of earlier Windows-only versions of ASP.NET.". Source: almost 4 years ago
  • How can I convince my boss not to use Windows Server?
    But how about you both get your wishes: ASP.NET Core? Use a Linux server - with which you are familiar with, to host the live/production version. And the web application itself can be locally developed and tested in ASP.NET on a Windows server, which is what your boss wants? Source: over 4 years ago
  • 3 Different Hosting Models in Blazor
    Letโ€™s remember that ASP.NET Core is cross-platform and can run practically anywhere. If you find yourself using C # for all your development, this is probably the best scenario for you to use anyway. With it, you can deploy your web application, which would also contain your Blazor Wasm assets in the same location. - Source: dev.to / over 5 years ago

What are some alternatives?

When comparing Plotly and ASP.NET Core, you can also consider the following products

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.

B4X - Cross platform development tools for native iOS, Android, desktop and server applications.

RAWGraphs - RAWGraphs is an open source app built with the goal of making the visualization of complex data...

Django - The Web framework for perfectionists with deadlines

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.

ASP.NET - ASP.NET is a free web framework for building great Web sites and Web applications using HTML, CSS and JavaScript.