Software Alternatives, Accelerators & Startups
Register | Login

Bubble.io VS Scikit-learn

Compare Bubble.io VS Scikit-learn and see what are their differences

Momen
Build powerful web apps, and create your custom AI apps, no code needed! featured
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.
Contents:
  1. » Base Details
  2. » Videos
  3. » Reviews
  4. » Alternatives

Bubble.io logo Bubble.io

Building tech is slow and expensive. Bubble is the most powerful no-code platform for creating digital products.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Bubble.io Landing page
    Landing page //
    2023-01-24
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

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.

Scikit-learn features and specs

  • Ease of Use
    Scikit-learn provides a high-level interface for common machine learning algorithms, making it easy for beginners and professionals to implement complex models with minimal coding.
  • Extensive Documentation and Community Support
    The library has comprehensive documentation and a large, active community. This makes it easy to find tutorials, examples, and solutions to common problems.
  • Integration with Other Libraries
    Scikit-learn integrates well with other scientific computing libraries such as NumPy, SciPy, and pandas, allowing for seamless data manipulation and analysis.
  • Variety of Algorithms
    It offers a wide array of machine learning algorithms for tasks such as classification, regression, clustering, and dimensionality reduction.
  • Performance
    Designed with performance in mind, many of the algorithms are optimized and some even support multicore processing.

Possible disadvantages of Scikit-learn

  • Limited Deep Learning Support
    Scikit-learn is primarily focused on traditional machine learning algorithms and does not offer support for deep learning models, unlike libraries like TensorFlow or PyTorch.
  • Not Ideal for Large-Scale Data
    While Scikit-learn performs well for moderate-sized datasets, it may not be the best choice for extremely large datasets or big data applications.
  • Lack of Online Learning Algorithms
    The library has limited support for online learning algorithms, which are useful for scenarios where data arrives in a stream and model needs to be updated incrementally.
  • Less Flexibility in Customization
    It can be less flexible compared to lower-level libraries when highly customized or specific implementations are needed.
  • Dependency Overhead
    Scikit-learn relies on several other Python libraries like NumPy and SciPy, which might require users to manage multiple dependencies.

Bubble.io videos

+ Add

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

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

  • Review - Python Machine Learning Review | Learn python for machine learning. Learn Scikit-learn.

Category Popularity

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

Bubble.io

Scikit-learn

No Code
100 100%
No Code
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Website Builder
100 100%
Website Builder
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Bubble.io and Scikit-learn. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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

Scikit-learn Reviews

15 data science tools to consider using in 2021
Scikit-learn is an open source machine learning library for Python that's built on the SciPy and NumPy scientific computing libraries, plus Matplotlib for plotting data. It supports both supervised and unsupervised machine learning and includes numerous algorithms and models, called estimators in scikit-learn parlance. Additionally, it provides functionality for model...
Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, Bubble.io seems to be a lot more popular than Scikit-learn. While we know about 436 links to Bubble.io, we've tracked only 31 mentions of Scikit-learn. 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.

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 / 2 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

Scikit-learn mentions (31)

  • Must-Know 2025 Developer’s Roadmap and Key Programming Trends
    Python’s Growth in Data Work and AI: Python continues to lead because of its easy-to-read style and the huge number of libraries available for tasks from data work to artificial intelligence. Tools like TensorFlow and PyTorch make it a must-have. Whether you’re experienced or just starting, Python’s clear style makes it a good choice for diving into machine learning. Actionable Tip: If you’re new to Python,... - Source: dev.to / 3 months ago
  • 🚀 Launching a High-Performance DistilBERT-Based Sentiment Analysis Model for Steam Reviews 🎮🤖
    Scikit-learn (optional): Useful for additional training or evaluation tasks. - Source: dev.to / 5 months ago
  • Essential Deep Learning Checklist: Best Practices Unveiled
    How to Accomplish: Utilize data splitting tools in libraries like Scikit-learn to partition your dataset. Make sure the split mirrors the real-world distribution of your data to avoid biased evaluations. - Source: dev.to / 11 months ago
  • How to Build a Logistic Regression Model: A Spam-filter Tutorial
    Online Courses: Coursera: "Machine Learning" by Andrew Ng EdX: "Introduction to Machine Learning" by MIT Tutorials: Scikit-learn documentation: https://scikit-learn.org/ Kaggle Learn: https://www.kaggle.com/learn Books: "Hands-On Machine Learning with Scikit-Learn, Keras & TensorFlow" by Aurélien Géron "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani, and Jerome Friedman By... - Source: dev.to / about 1 year ago
  • Link Prediction With node2vec in Physics Collaboration Network
    Firstly, we need a connection to Memgraph so we can get edges, split them into two parts (train set and test set). For edge splitting, we will use scikit-learn. In order to make a connection towards Memgraph, we will use gqlalchemy. - Source: dev.to / almost 2 years ago
View more

What are some alternatives?

When comparing Bubble.io and Scikit-learn, you can also consider the following products

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.

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

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.

NumPy - NumPy is the fundamental package for scientific computing with Python

Loading...