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NumPy VS Bubble.io

Compare NumPy VS Bubble.io and see what are their differences

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NumPy logo NumPy

NumPy is the fundamental package for scientific computing with Python

Bubble.io logo Bubble.io

Building tech is slow and expensive. Bubble is the most powerful no-code platform for creating digital products.
  • NumPy Landing page
    Landing page //
    2023-05-13
  • Bubble.io Landing page
    Landing page //
    2023-01-24

NumPy features and specs

  • Performance
    NumPy operations are executed with highly optimized C and Fortran libraries, making them significantly faster than standard Python arithmetic operations, especially for large datasets.
  • Versatility
    NumPy supports a vast range of mathematical, logical, shape manipulation, sorting, selecting, I/O, and basic linear algebra operations, making it a versatile tool for scientific and numeric computing.
  • Ease of Use
    NumPy provides an intuitive, easy-to-understand syntax that extends Python's ability to handle arrays and matrices, lowering the barrier to performing complex scientific computations.
  • Community Support
    With a large and active community, NumPy offers extensive documentation, tutorials, and support for troubleshooting issues, as well as continuous updates and enhancements.
  • Integrations
    NumPy integrates seamlessly with other libraries in Python's scientific stack like SciPy, Matplotlib, and Pandas, facilitating a streamlined workflow for data science and analysis tasks.

Possible disadvantages of NumPy

  • Memory Consumption
    NumPy arrays can consume large amounts of memory, especially when working with very large datasets, which can become a limitation on systems with limited memory capacity.
  • Learning Curve
    For users new to scientific computing or coming from different programming backgrounds, understanding the intricacies of NumPy's operations and efficient usage can take time and effort.
  • Limited GPU Support
    NumPy primarily runs on the CPU and doesn't natively support GPU acceleration, which can be a disadvantage for extremely compute-intensive tasks that could benefit from parallel processing.
  • Dependency on Python
    Since NumPy is a Python library, it depends on the Python runtime environment. This can be a limitation in environments where Python is not the primary language or isn't supported.
  • Indexing Complexity
    Although NumPy's slicing and indexing capabilities are powerful, they can sometimes be complex or unintuitive, especially for multi-dimensional arrays, leading to potential errors and confusion.

Bubble.io features and specs

  • No Coding Required
    Bubble.io allows users to build web applications without requiring any coding knowledge, making it accessible for non-developers.
  • Customizable
    The platform offers a high degree of customization enabling users to design and create unique applications tailored to their specific needs.
  • Rapid Prototyping
    Helps in quickly building and testing application prototypes, which accelerates the development process and reduces time-to-market.
  • Built-in Database
    Includes an integrated database, simplifying data storage and management tasks within the application.
  • Expandable with Plugins
    Supports a variety of plugins to extend functionality, allowing for the incorporation of more complex features without needing to code.
  • Responsive Design
    Automatically handles responsive design, ensuring applications look good on both desktop and mobile devices.
  • Community and Resources
    Offers a robust community along with extensive documentation and tutorials, aiding users in troubleshooting and learning.

Possible disadvantages of Bubble.io

  • Learning Curve
    Despite being a no-code platform, there is still a learning curve associated with understanding and navigating Bubble.io's user interface and capabilities.
  • Performance
    Applications built on Bubble.io can sometimes suffer from performance issues, particularly as they scale.
  • Limited Native Mobile Support
    Direct support for native mobile application development is limited; additional tools and steps are required to convert Bubble.io applications into native apps.
  • Dependency on Platform
    Being a proprietary system, users are dependent on Bubble.io for hosting and platform updates, which could pose risks if the company changes its policies or faces downtime.
  • Cost
    While there is a free tier, more complex and feature-rich applications often require premium plans, which can be costly.
  • Scalability
    Though ideal for small to medium projects, Bubble.io might not be the best choice for very large and highly scalable applications due to its performance constraints.
  • Complex Conditional Logic
    Handling very complex conditional logic and workflows can become cumbersome and might require more advanced workarounds.

NumPy videos

+ Add

Learn NUMPY in 5 minutes - BEST Python Library!

More videos:

  • Review - Python for Data Analysis by Wes McKinney: Review | Learn python, numpy, pandas and jupyter notebooks
  • Review - Effective Computation in Physics: Review | Learn python, numpy, regular expressions, install python

Bubble.io videos

+ Add

Bubble.io Tutorial: How to Build an App on Bubble in 2023

Category Popularity

0-100% (relative to NumPy and Bubble.io)

NumPy

Bubble.io

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
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No Code
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No Code
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Data Science Tools
100 100%
Data Science Tools
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Website Builder
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Website Builder
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User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare NumPy and Bubble.io

NumPy Reviews

25 Python Frameworks to Master
SciPy provides a collection of algorithms and functions built on top of the NumPy. It helps to perform common scientific and engineering tasks such as optimization, signal processing, integration, linear algebra, and more.
Source: kinsta.com
Top 8 Image-Processing Python Libraries Used in Machine Learning
Scipy is used for mathematical and scientific computations but can also perform multi-dimensional image processing using the submodule scipy.ndimage. It provides functions to operate on n-dimensional Numpy arrays and at the end of the day images are just that.
Source: neptune.ai
Top Python Libraries For Image Processing In 2021
Numpy It is an open-source python library that is used for numerical analysis. It contains a matrix and multi-dimensional arrays as data structures. But NumPy can also use for image processing tasks such as image cropping, manipulating pixels, and masking of pixel values.
Source: www.analyticsvidhya.com
4 open source alternatives to MATLAB
NumPy is the main package for scientific computing with Python (as its name suggests). It can process N-dimensional arrays, complex matrix transforms, linear algebra, Fourier transforms, and can act as a gateway for C and C++ integration. It's been used in the world of game and film visual effect development, and is the fundamental data-array structure for the SciPy Stack,...
Source: opensource.com

Bubble.io Reviews

10 Top Firebase Alternatives to Ignite Your Development in 2024
If you’re looking to quickly prototype an idea, validate a concept, or even launch a full-fledged product without getting bogged down in code, Bubble.io is your ticket. It’s also a fantastic learning tool for those who want to dip their toes into the world of app development without a steep learning curve.
Source: genezio.com
19 Best WordPress Alternatives in 2025
Bubble is a revolutionary platform that allows anyone to build web applications without writing a single line of code. It uses a visual programming interface where you drag and drop elements to create functionalities. Bubble is perfect for startups and non-technical users who want to quickly prototype and launch their ideas.
Source: www.pixpa.com
Top 10 Android Studio Alternatives For App Development
Bubble is a no-code application and development platform which was developed by Bubble Group which helps noncoder people to build website apps without writing a single line of code.
Source: www.geeksforgeeks.org
ILLA Cloud vs. Retool vs. Bubble - Unveiling the Best Low-Code Platforms
In the quest for the best low-code platform, Retool, Bubble, and ILLA Cloud all offer unique features and capabilities. While Retool shines with its self-hosted option and Bubble contributes to the open-source community, ILLA Cloud stands out as a powerful and flexible low-code platform. With its comprehensive feature set, affordable pricing models, and self-hosted...
Source: blog.illacloud.com
13 Best Website Builders for Creators and Social Entrepreneurs(2023)
Bubble is the perfect platform for entrepreneurs and non-technical founders who want to bring their ideas to life quickly and efficiently. Get started today and launch your own fully functioning application in minutes!
Source: causeartist.com

Social recommendations and mentions

Based on our record, Bubble.io should be more popular than NumPy. It has been mentiond 436 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.

NumPy mentions (119)

  • Building an AI-powered Financial Data Analyzer with NodeJS, Python, SvelteKit, and TailwindCSS - Part 0
    The AI Service will be built using aiohttp (asynchronous Python web server) and integrates PyTorch, Hugging Face Transformers, numpy, pandas, and scikit-learn for financial data analysis. - Source: dev.to / 3 months ago
  • F1 FollowLine + HSV filter + PID Controller
    This library provides functions for working in domain of linear algebra, fourier transform, matrices and arrays. - Source: dev.to / 7 months ago
  • Intro to Ray on GKE
    The Python Library components of Ray could be considered analogous to solutions like numpy, scipy, and pandas (which is most analogous to the Ray Data library specifically). As a framework and distributed computing solution, Ray could be used in place of a tool like Apache Spark or Python Dask. It’s also worthwhile to note that Ray Clusters can be used as a distributed computing solution within Kubernetes, as... - Source: dev.to / 8 months ago
  • Streamlit 101: The fundamentals of a Python data app
    It's compatible with a wide range of data libraries, including Pandas, NumPy, and Altair. Streamlit integrates with all the latest tools in generative AI, such as any LLM, vector database, or various AI frameworks like LangChain, LlamaIndex, or Weights & Biases. Streamlit’s chat elements make it especially easy to interact with AI so you can build chatbots that “talk to your data.”. - Source: dev.to / 9 months ago
  • A simple way to extract all detected objects from image and save them as separate images using YOLOv8.2 and OpenCV
    The OpenCV image is a regular NumPy array. You can see it shape:. - Source: dev.to / 9 months ago
View more

Bubble.io mentions (436)

  • Top 15 Builder.ai Alternatives for 2025: Explore the Best App Development Platforms
    Best for: Customizable web apps without code Bubble allows users to build complex web apps without any coding. Its visual programming environment gives full control over logic, workflows, and design. - Source: dev.to / 3 days ago
  • Code or No Code? The AI Revolution in Web Development
    Bubble.io – Create full applications without coding. - Source: dev.to / about 2 months ago
  • Bubble vs. FlutterFlow: Which No-Code Tool Is Best for Your Startup?
    Bubble: A powerful no-code platform for building web applications. It allows for complex workflows, database management, and full customization of web-based applications. - Source: dev.to / about 2 months ago
  • 10 No-Code Tools for Developers in 2025 (with Best Use Cases)
    Bubble lets you build complex apps without having to touch code. Think CRMs, marketplaces, or even that dating app idea you’ve been secretly thinking about. - Source: dev.to / 3 months ago
  • 11 real-life PWA examples you can learn from in 2025
    Fodmapedia is an app designed to assist individuals with Irritable Bowel Syndrome in managing their symptoms through a low-FODMAP diet. This PWA example, developed without code with Bubble, helps users identify which items are suitable for their dietary needs. As this is a tool meant to be used daily, the option to install the website as an app is available right from the home page:. - Source: dev.to / 4 months ago
View more

What are some alternatives?

When comparing NumPy and Bubble.io, you can also consider the following products

Pandas - Pandas is an open source library providing high-performance, easy-to-use data structures and data analysis tools for the Python.

Webflow - Build dynamic, responsive websites in your browser. Launch with a click. Or export your squeaky-clean code to host wherever you'd like. Discover the professional website builder made for designers.

Scikit-learn - scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.

WiX - Create a free website with Wix.com. Customize with Wix' website builder, no coding skills needed. Choose a design, begin customizing and be online today

OpenCV - OpenCV is the world's biggest computer vision library

WordPress - WordPress is web software you can use to create a beautiful website or blog. We like to say that WordPress is both free and priceless at the same time.

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