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Plotly VS Aspose.Drawing for .NET

Compare Plotly VS Aspose.Drawing for .NET and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

Aspose.Drawing for .NET logo Aspose.Drawing for .NET

Cross-platform complete 2D graphic library with System.Drawing API.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Aspose.Drawing for .NET Landing page
    Landing page //
    2022-08-29

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.

Aspose.Drawing for .NET features and specs

  • Comprehensive Graphics Library
    Aspose.Drawing for .NET offers a complete set of features for 2D graphics programming, similar to GDI+, providing developers with tools to create and manipulate vector graphics, images, and text with ease.
  • Cross-Platform Compatibility
    The library is designed to work across various platforms, including Windows and Linux, making it suitable for developing applications that need to run on multiple environments without code changes.
  • No Dependencies on System Libraries
    Aspose.Drawing does not depend on any native Windows components, allowing it to be used in a wider range of deployment scenarios, including cloud and server environments where installing additional software might be challenging.
  • Active Development and Support
    Aspose provides regular updates and professional support, offering an advantage in terms of receiving timely bug fixes, updates, and assistance as needed during development.
  • High Performance
    Designed for high performance, Aspose.Drawing handles graphics processing efficiently, which is crucial for applications requiring extensive image manipulation and generation.

Possible disadvantages of Aspose.Drawing for .NET

  • Licensing Costs
    Aspose.Drawing is a commercial product, and acquiring licenses can be costly, especially for smaller companies or individual developers working on a tight budget.
  • Learning Curve
    Developers who are unfamiliar with the Aspose family of products might find the initial learning curve steep, as they need to get accustomed to new classes and methods.
  • Limited Community Resources
    Compared to more established open-source graphics libraries, there may be fewer community-driven resources, tutorials, and examples available online to help developers troubleshoot issues.
  • Platform-Specific Limitations
    While it supports multiple platforms, certain features may not be available or behave differently across different environments, potentially leading to platform-specific limitations in functionality or performance.

Plotly videos

+ Add

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

Aspose.Drawing for .NET videos

No Aspose.Drawing for .NET videos yet. You could help us improve this page by suggesting one.

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Category Popularity

0-100% (relative to Plotly and Aspose.Drawing for .NET)

Plotly

Aspose.Drawing for .NET

Data Visualization
100 100%
Data Visualization
0% 0
Development
0 0%
Development
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Photos & Graphics
0 0%
Photos & Graphics
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 Aspose.Drawing for .NET

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.
Source: www.technotification.com
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...
Source: www.geeksforgeeks.org
5 top picks for JavaScript chart libraries
Plotly is a graphing library that’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.
Source: blog.logrocket.com

Aspose.Drawing for .NET Reviews

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Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 33 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 (33)

  • 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 / about 1 month 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 / 3 months ago
  • Build a Stock Dashboard in less than 40 lines of Python code!🤓
    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 / 5 months 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 / 11 months ago
  • Python equivalent to power bi/power query?
    For dashboards: - https://plotly.com/ is probably my favourite, but there are others like streamlit, voila and others... Source: over 1 year ago
View more

Aspose.Drawing for .NET mentions (0)

We have not tracked any mentions of Aspose.Drawing for .NET yet. Tracking of Aspose.Drawing for .NET recommendations started around May 2022.

What are some alternatives?

When comparing Plotly and Aspose.Drawing for .NET, 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.

Cairo - Cairo is an open-source 2D graphics library released under the GNU Lesser General Public License with support for several output devices.

Chart.js - Easy, object oriented client side graphs for designers and developers.

Anti-Grain Geometry (AGG) - Anti-Grain Geometry (AGG) is an open-source 2D graphics library that provides you with tools to create multiple shapes and also comes with detailed documentation for explaining all the important concepts.

Highcharts - A charting library written in pure JavaScript, offering an easy way of adding interactive charts to your web site or web application

PlotDevice - PlotDevice is a graphics language for tinkerers, designers, developers and is written in Python.

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