Software Alternatives, Accelerators & Startups

B4X VS Plotly

Compare B4X VS Plotly and see what are their differences

B4X logo B4X

Cross platform development tools for native iOS, Android, desktop and server applications.

Plotly logo Plotly

Low-Code Data Apps
  • B4X Landing page
    Landing page //
    2021-10-17
  • Plotly Landing page
    Landing page //
    2023-07-31

B4X features and specs

  • Cross-Platform Development
    B4X allows developers to write a single codebase that can be deployed across multiple platforms, including Android, iOS, and desktop applications, which significantly reduces development time and effort.
  • Ease of Use
    B4X offers a simple and intuitive environment for developing applications, making it accessible for beginners while still powerful for experienced developers.
  • Strong Community Support
    B4X has an active and supportive community that provides plenty of resources, tutorials, and forums for troubleshooting and mentorship.
  • Rapid Application Development
    The visual designer and powerful libraries included in B4X allow for quick prototyping and development, helping to accelerate the overall development process.
  • Cost-Effective
    B4X offers a free version with substantial features, allowing smaller developers and hobbyists to get started without incurring high costs.
  • Native Performance
    Applications developed with B4X leverage native controls and performance, which ensures that apps run fast and efficiently on their target platforms.

Possible disadvantages of B4X

  • Limited to B4X IDE
    Developers are largely locked into the B4X IDE, limiting flexibility in terms of using other development environments and tools.
  • Learning Curve for Advanced Features
    While basic development is straightforward, mastering advanced features and functionalities requires time and effort, which could be a hurdle for some developers.
  • Less Popular
    B4X is less popular compared to other development frameworks like React Native or Flutter, which could mean fewer third-party resources and plugins.
  • Limited Enterprise Features
    While excellent for small and medium-sized projects, B4X may lack some of the advanced features or extensive third-party integrations needed for large enterprise-level applications.
  • Inconsistent Documentation
    Some users have reported that the documentation can be inconsistent or outdated, making it challenging to find up-to-date and accurate information on certain topics.
  • Platform-Specific Customization
    Despite being cross-platform, extensive customization for each platform may still be required to ensure optimal user experience and compliance with design guidelines.

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 B4X

Overall verdict

  • B4X is considered a good option for developers looking for a versatile and efficient development platform. Its ease of use, cross-platform capabilities, and strong community support make it a valuable tool, especially for those who prioritize development speed and multiplatform deployment.

Why this product is good

  • B4X is a suite of rapid application development tools that simplifies the coding process by providing a cross-platform development environment. It uses a simple, yet powerful programming language suitable for beginners and advanced users alike. The platform boasts a strong community, extensive documentation, and a rapid development cycle. Additionally, it is known for its ability to develop native apps for Android, iOS, and desktop systems from a single codebase.

Recommended for

  • Beginners who want an easy introduction to programming.
  • Developers looking to create cross-platform applications with a single codebase.
  • Small to medium-sized development teams needing rapid prototyping and development.
  • Educators seeking a simple yet effective tool to teach programming.
  • Independent developers or startups who need to quickly deploy apps across multiple platforms.

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.

B4X videos

Little Bear B4X: A Short Sound Review

Plotly videos

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 B4X and Plotly)
IDE
100 100%
0% 0
Data Visualization
0 0%
100% 100
Developer Tools
100 100%
0% 0
Charting Libraries
0 0%
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 B4X and Plotly

B4X Reviews

Top 10 Android Studio Alternatives For App Development
B4X is a cross-platform tool that helps in creating applications on platforms like Google Android, Arduino, Apple iOS, and so on. The syntax of B4X is similar to BASIC.
10 Best Android Studio Alternatives For App Development
B4X is a suite of rapid application development IDEโ€™s. This platform allows you to create applications on the following platforms: Googleโ€™s Android, Appleโ€™s iOS, Java, Raspberry Pi, and Arduino. B4X is a popular tool for Android app development. It is not only used by developers, but popular companies are also using this amazing tool like IBM, NASA, and others.
Source: techdator.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.
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...
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.

Social recommendations and mentions

Based on our record, Plotly seems to be more popular. It has been mentiond 34 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.

B4X mentions (0)

We have not tracked any mentions of B4X yet. Tracking of B4X recommendations started around Mar 2021.

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 B4X and Plotly, you can also consider the following products

Android Studio - Android development environment based on IntelliJ IDEA

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.

Flutter - Build beautiful native apps in record time ๐Ÿš€

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

ASP.NET Core - With ASP.

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.