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Monkey 2 VS Plotly

Compare Monkey 2 VS Plotly and see what are their differences

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

Monkey 2 logo Monkey 2

An easy to use, cross platform, games oriented programming language

Plotly logo Plotly

Low-Code Data Apps
  • Monkey 2 Landing page
    Landing page //
    2021-10-09
  • Plotly Landing page
    Landing page //
    2023-07-31

Monkey 2 features and specs

  • Cross-Platform Development
    Monkey 2 allows developers to write code once and deploy it across multiple platforms, including Windows, macOS, Linux, Android, and iOS, streamlining the development process and saving time.
  • Modern Language Features
    Monkey 2 supports modern programming language features such as type inference, generics, and lambda expressions, making it easier for developers to write clean and efficient code.
  • Active Community
    The Monkey 2 community is active and engaged, providing support, resources, and shared knowledge, which can be very helpful for both new and experienced developers.
  • Open Source
    Being open source, Monkey 2 allows developers to contribute to its improvement, ensuring that it can evolve according to the needs and desires of the community.

Possible disadvantages of Monkey 2

  • Limited Documentation
    Monkey 2's documentation can be sparse or outdated in some areas, which might pose challenges for new developers trying to learn the language or troubleshoot issues.
  • Smaller Ecosystem
    Compared to more popular programming languages, Monkey 2 has a smaller ecosystem, which might limit the availability of libraries, tools, and third-party support.
  • Less Recognition
    Monkey 2 is not as widely recognized or adopted in the industry as some other programming languages, potentially impacting its perceived credibility and the availability of job opportunities.
  • Development Pace
    While being open source is an advantage, the development pace of Monkey 2 might be slower than that of proprietary or more commercially supported languages, potentially delaying updates and new features.

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.

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.

Monkey 2 videos

No Monkey 2 videos yet. You could help us improve this page by suggesting one.

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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 Monkey 2 and Plotly)

Monkey 2

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
Charting Libraries
0 0%
Charting Libraries
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 Monkey 2 and Plotly

Monkey 2 Reviews

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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 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.
Source: blog.logrocket.com

Social recommendations and mentions

Based on our record, Plotly seems to be a lot more popular than Monkey 2. While we know about 34 links to Plotly, we've tracked only 1 mention of Monkey 2. 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.

Monkey 2 mentions (1)

  • Wonkey: A cross-platform FOSS programming language by the creator of BlitzBasic
    On one hand, BlitzBasic and BlitzMax was a key moment for me, 15 years ago, of 'getting' programming - I clearly remember as a teenager when some basic concepts clicked together, and here I am many years later a full-time indie game developer. But on the other hand, I've watched from afar enough of the post-Blitz tool development to be skeptical of anything new. Monkey 2 and Monkey X really didn't flourish and a... - Source: Hacker News / almost 4 years ago

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
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What are some alternatives?

When comparing Monkey 2 and Plotly, you can also consider the following products

Blitz3D - Create 2D and 3D Games for Windows.

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.

BlitzMax - With the developing version BlitzMax NG other 'targets' are available: ARM architecture, Raspberry, Android, HTML (Emscripten). RAPID DEVELOPMENT. Just open the IDE, write your code, hit F5 and see immediately the results!

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

Phaser - Desktop and Mobile HTML5 game framework. A fast, free and fun open source framework for Canvas and WebGL powered browser games.

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.

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