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FreeBASIC VS Plotly

Compare FreeBASIC 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

FreeBASIC logo FreeBASIC

FreeBASIC is a completely free, open-source, 32-bit BASIC compiler, with syntax similar to...

Plotly logo Plotly

Low-Code Data Apps
  • FreeBASIC Landing page
    Landing page //
    2021-07-23
  • Plotly Landing page
    Landing page //
    2023-07-31

FreeBASIC features and specs

  • Open Source
    FreeBASIC is open source, which means users can access the source code, contribute to the project, and customize it according to their needs.
  • BASIC Language Support
    FreeBASIC offers support for the BASIC programming language, attracting programmers who prefer or are familiar with this language, while also providing modern programming capabilities.
  • Cross-Platform
    It supports multiple platforms, including Windows, Linux, and DOS, which allows developers to write programs that can run on different operating systems without significant changes.
  • Compatibility
    FreeBASIC is compatible with Microsoft QuickBASIC and other older BASIC dialects, making it easier for developers to port legacy BASIC code.
  • Strong Community
    The FreeBASIC community is active, providing forums, documentation, and support that can be beneficial for both beginners and advanced users.

Possible disadvantages of FreeBASIC

  • Limited Library Support
    Compared to more popular languages like Python or C++, FreeBASIC has fewer libraries and third-party resources, which can limit functionality and ease of development.
  • Learning Curve for Beginners
    Although BASIC is traditionally seen as beginner-friendly, some aspects of FreeBASIC, especially its more advanced features, might present a learning curve.
  • Less Market Demand
    There is less market demand for FreeBASIC developers compared to more mainstream languages, which might limit job prospects for those who specialize in it.
  • Manual Memory Management
    FreeBASIC requires manual memory management, which can lead to potential errors like memory leaks if not handled properly, particularly for new programmers.
  • Outdated Perception
    BASIC languages, including FreeBASIC, sometimes suffer from an outdated perception that might lead to skepticism about its use for modern applications.

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.

FreeBASIC videos

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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 FreeBASIC and Plotly)

FreeBASIC

Plotly

IDE
100 100%
IDE
0% 0
Data Visualization
0 0%
Data Visualization
100% 100
Text Editors
100 100%
Text Editors
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 FreeBASIC and Plotly

FreeBASIC Reviews

  1. Jose Galeno
    Can Not to Comapre FREEBASIC is a COMPILER NOT AN IDE

    HAS IDE AS FBEdit, FBNP,WINFBE, VisualFB, etc

    ๐Ÿ Competitors: Visual Basic
    ๐Ÿ‘ Pros:    Compiler|32|64|Windows linux mac|Mingw32 and mingw64|Free to use|Binding to c, c++

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 should be more popular than FreeBASIC. 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.

FreeBASIC mentions (5)

  • Microsoft's Growing Control of Linux
    Outside of Microsoft created QB64: - https://en.wikipedia.org/wiki/QB64 - https://lunduke.substack.com/p/the-wild-events-that-nearly-took Outside of Microsoft created Visual Basic IDE: - http://gambas.sourceforge.net/en/main.html - https://github.com/wekan/hx/tree/main/prototypes/ui/gambas Outside of Microsoft created FreeBasic: - https://freebasic.net. - Source: Hacker News / about 4 years ago
  • qb.js: An implementation of QBASIC in Javascript
    If you have linux or windows, you can try freebasic. I believe it has a qbasic compatibility mode. Source: over 4 years ago
  • Ask HN: What are your opinions on modern BASIC dialects?
    Have you looked at https://freebasic.net/ and https://www.qb64.org/portal/ ? It's been ages since I actually wrote code in BASIC, but there do appear to be nice open-source options in the modern world. - Source: Hacker News / almost 5 years ago
  • How to compile a BASIC code in linux ?
    I used https://freebasic.net/ ages ago. Works fine. Source: over 5 years ago
  • Blank Projects - Then And Now
    And here you can live though that pain again: https://freebasic.net/. Source: over 5 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 FreeBASIC and Plotly, you can also consider the following products

PureBasic - Fantaisie Software Official WebSite. PureBasic - Feel The Pure Power. PureBasic is a programming language based on established BASIC rules.

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.

Liberty BASIC - Easy Programming for Windows XP, Vista, Windows 7, 8 and 10

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

Xojo - Real Software and Real Studio are now Xojo.

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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