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Plotly VS Vulkan

Compare Plotly VS Vulkan and see what are their differences

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Contents:
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  3. » Reviews
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Plotly logo Plotly

Low-Code Data Apps

Vulkan logo Vulkan

Vulkan is a new generation graphics and compute API that provides high-efficiency, cross-platform access to modern GPUs used in a wide variety of devices from PCs and consoles to mobile phones and embedded platforms.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • Vulkan Landing page
    Landing page //
    2023-10-11

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.

Vulkan features and specs

  • Low-Level Control
    Vulkan provides a low-level API that gives developers extensive control over GPU resources and operations, allowing fine-tuning of performance characteristics.
  • Cross-Platform Support
    Vulkan is designed to be cross-platform, enabling developers to deploy their applications on various operating systems such as Windows, Linux, and Android without major code changes.
  • Explicit Synchronization
    Vulkan requires developers to explicitly manage synchronization, which can lead to more efficient rendering by avoiding unnecessary stalls and utilizing resources more effectively.
  • Better Multithreading
    The API is designed to better utilize multiple CPU cores, allowing for improved parallel execution and more efficient handling of rendering workloads.
  • Performance
    Vulkan provides the potential for higher performance compared to older APIs by reducing the overhead often associated with rendering tasks.

Possible disadvantages of Vulkan

  • Complex API
    Vulkan's low-level nature means it is more complex and verbose compared to APIs like OpenGL, leading to a steep learning curve for developers.
  • Development Time
    Due to its complexity, developing an application using Vulkan can require more time and effort, especially for teams not experienced with low-level graphics programming.
  • Manual Resource Management
    Developers need to manually manage resources and memory, which can lead to increased chances of errors and bugs, making debugging more challenging.
  • Limited Driver Support
    While Vulkan is widely supported, there may still be inconsistencies or lack of support on specific hardware or older GPUs, affecting compatibility.
  • Longer Development Phase
    The increased complexity and fine-tuning freedom require longer development cycles to achieve the same results that may be obtained faster with higher-level APIs.

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

Vulkan videos

+ Add

Everything about Vulkan and if you should use it in Rainbow Six Siege

More videos:

  • Review - Vulkan 1.2 Released
  • Review - Review Lansete Select Baits Vulkan

Category Popularity

0-100% (relative to Plotly and Vulkan)

Plotly

Vulkan

Data Visualization
100 100%
Data Visualization
0% 0
Game Engine
0 0%
Game Engine
100% 100
Data Dashboard
100 100%
Data Dashboard
0% 0
Game Development
0 0%
Game Development
100% 100

User comments

Share your experience with using Plotly and Vulkan. For example, how are they different and which one is better?
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Reviews

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

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

Vulkan Reviews

We have no reviews of Vulkan yet.
Be the first one to post

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 2 months 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 / 4 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 / 6 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

Vulkan mentions (0)

We have not tracked any mentions of Vulkan yet. Tracking of Vulkan recommendations started around Mar 2021.

What are some alternatives?

When comparing Plotly and Vulkan, 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.

SFML - SFML provides a simple interface to the various components of your PC, to ease the development of games and multimedia applications. It is composed of five modules: system, window, graphics, audio and network.

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

SDL - Simple DirectMedia Layer is a cross-platform multimedia library designed to provide low level...

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

raylib - Cross-platform, open-source game development library in C.

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