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Plotly VS SFML

Compare Plotly VS SFML and see what are their differences

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Plotly logo Plotly

Low-Code Data Apps

SFML logo 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.
  • Plotly Landing page
    Landing page //
    2023-07-31
  • SFML Landing page
    Landing page //
    2018-09-29

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.

SFML features and specs

  • User-Friendly API
    SFML provides a simple and intuitive API which makes it easier for developers to learn and use, especially for beginners who are new to graphics programming.
  • Cross-Platform Support
    SFML supports multiple operating systems including Windows, Linux, and macOS, allowing developers to create cross-platform applications with minimal code changes.
  • Module-Based
    It offers different modules for handling various system aspects like graphics, window, audio, and networking. This modularity helps in organizing code better and using only what is needed.
  • Hardware Acceleration
    SFML provides hardware-accelerated graphics, making it efficient and fast for rendering, which is critical for real-time applications like games.
  • Community and Documentation
    SFML has an active community and offers comprehensive documentation, tutorials, and a supportive forum which are invaluable for development and troubleshooting.

Possible disadvantages of SFML

  • Limited 3D Support
    SFML is primarily designed for 2D graphics, and it doesn’t have native support for 3D graphics, which can be limiting for developers looking to create 3D games.
  • Less Popularity
    Compared to other game development libraries and frameworks like Unity or Unreal Engine, SFML is less popular, which means fewer third-party resources and plugins.
  • Manual Memory Management
    SFML does not handle memory management for you, requiring developers to be cautious with resource management to avoid memory leaks.
  • Limited Advanced Features
    While SFML covers basic game development needs, it may lack advanced features and tools provided by more extensive engines, leading developers to implement more functionalities manually.
  • Smaller Ecosystem
    The ecosystem around SFML is smaller compared to more mature game engines, which leads to fewer tutorials, plugins, and reusable assets available for developers.

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

SFML videos

+ Add

Coding a Simple SFML Game Framework in C++/ SFML

More videos:

  • Review - A Closer Look at SFML
  • Review - ALLEGRO vs. SDL vs. SFML (Game Programming Q&A)

Category Popularity

0-100% (relative to Plotly and SFML)

Plotly

SFML

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

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Reviews

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

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

SFML Reviews

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

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than SFML. While we know about 33 links to Plotly, we've tracked only 1 mention of SFML. 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

SFML mentions (1)

  • Open source recreation of the PS Vita game -- Calling all creators
    I would like to recreate the Plastic Memories PS Vita game as a free, open source, cross-platform (any platform SFML runs on*) game for everyone to enjoy. I'm not sure how much time I'll be able to put into it (I don't have much time between school and various other projects of mine) but I can handle the code, coordination, and source code hosting. Source: over 3 years ago

What are some alternatives?

When comparing Plotly and SFML, 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.

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

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

Allegro - Allegro 4 and Allegro 5 are cross-platform, libraries mainly aimed at video game and multimedia...

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

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

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