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Allegro VS Plotly

Compare Allegro VS Plotly and see what are their differences

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Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Allegro logo Allegro

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

Plotly logo Plotly

Low-Code Data Apps
  • Allegro Landing page
    Landing page //
    2022-09-17
  • Plotly Landing page
    Landing page //
    2023-07-31

Allegro features and specs

  • Cross-Platform Support
    Allegro supports multiple platforms, including Windows, macOS, Linux, iOS, and Android, allowing developers to create applications that work across diverse systems.
  • Open Source
    Being open source, Allegro is free to use and modify. This encourages community involvement and ensures continuous improvement and adaptability to user needs.
  • Comprehensive Documentation
    Allegro offers extensive documentation and numerous tutorials, making it easier for beginners to learn and for seasoned developers to find solutions to specific problems.
  • Strong Community Support
    The library is backed by an active community of developers who contribute to forums and resources, providing assistance and sharing knowledge.
  • Simple API
    Allegro features a straightforward and easy-to-understand API, making it accessible for beginners and allowing for rapid development of 2D games and multimedia applications.

Possible disadvantages of Allegro

  • Limited 3D Support
    Allegro is primarily designed for 2D graphics, and while it can handle basic 3D rendering, it is not as robust or feature-rich as dedicated 3D engines.
  • Lack of Advanced Features
    Compared to larger game engines, Allegro lacks certain advanced features like complex animation tools and integrated development environments, which may limit its use in high-end game development.
  • Smaller Ecosystem
    The ecosystem around Allegro is smaller compared to other well-established frameworks and engines like Unity or Unreal, leading to fewer third-party tools and plugins.
  • Performance Limitations
    While suitable for simple games and applications, Allegro might struggle with performance optimization and efficiency in very resource-intensive or complex projects.
  • Dependency Management
    Setting up Allegro and its dependencies can be challenging for newcomers, requiring familiarity with C/C++ build systems and package managers.

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.

Allegro videos

+ Add

A Tiffin You Can Live In! My First Allegro Review!

More videos:

  • Review - IDRIVEACLASSIC reviews: 1970s Austin Allegro
  • Review - Williams Allegro 3 Digital Piano Review (First Look) Sounds -Features - Manual

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

Category Popularity

0-100% (relative to Allegro and Plotly)

Allegro

Plotly

Game Engine
100 100%
Game Engine
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Game Development
100 100%
Game Development
0% 0
Data Dashboard
0 0%
Data Dashboard
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 Allegro and Plotly

Allegro Reviews

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

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

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.

Allegro mentions (0)

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

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

What are some alternatives?

When comparing Allegro and Plotly, you can also consider the following products

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.

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.

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

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

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