Software Alternatives, Accelerators & Startups

Bubble.io VS Scikit-learn

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

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 videos

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

Scikit-learn videos

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)
No Code
100 100%
0% 0
Data Science And Machine Learning
Website Builder
100 100%
0% 0
Data Science Tools
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 Bubble.io and Scikit-learn

Bubble.io Reviews

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...
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
THE BEST 34 APP DEVELOPMENT SOFTWARE IN 2022 LIST
Bubble is one of the most powerful no-code platforms to build web apps. Bubble enables anyone to design, develop, and launch powerful web apps without writing code.
21 Best No Code Tools You Need To Try
Bubble makes your life easier for you to create awesome applications hassle-free. It allows you to create your app without needing to understand any coding languages or having to learn to code at all.
Source: www.cenario.co
33+ Best No Code Tools you will love 😍
Working with developers can be a frustrating process if you're non-technical, and often a very costly process. With Bubble, you can build complex applications in a matter of non time. The opportunity cost of using Bubble to build apps far outweighs going through developers if you're an early stage business.

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...

Social recommendations and mentions

Based on our record, Bubble.io seems to be a lot more popular than Scikit-learn. While we know about 429 links to Bubble.io, we've tracked only 28 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 (429)

  • Ask HN: Modern Day Equivalent to HyperCard?
    2. Bubble is easy for non-coders. https://bubble.io/. - Source: Hacker News / 21 days ago
  • Episode 24/13: Native Signals, Details on Angular/Wiz, Alan Agius on the Angular CLI
    Similarly to Promises/A+, this effort focuses on aligning the JavaScript ecosystem. If this alignment is successful, then a standard could emerge, based on that experience. Several framework authors are collaborating here on a common model which could back their reactivity core. The current draft is based on design input from the authors/maintainers of Angular, Bubble, Ember, FAST, MobX, Preact, Qwik, RxJS, Solid,... - Source: dev.to / about 2 months ago
  • The 2024 Web Hosting Report
    For the second category, tools like bubble, Unqork, Glide are awesome (there are a lot more of these). But the risk is to go too far, and build something that really needs to be built at a lower layer in one of these tools. The providers of course want to push every use case, but in our view these are not a replacement for traditional software, and AI-assisted programming is a better path for dev augmentation than... - Source: dev.to / 3 months ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Bubble — Visual programming to build web and mobile apps without code, free with Bubble branding. - Source: dev.to / 4 months ago
  • What would be the easiest way to wrap Assistant GPT into a subscription based product?
    Try bubble. I have not used it myself but I have heard it referenced as a no code solution for what you are trying to do. There is a free version. https://bubble.io. Source: 5 months ago
View more

Scikit-learn mentions (28)

  • 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 / 3 months 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 / 11 months ago
  • WiFilter is a RaspAP install extended with a squidGuard proxy to filter adult content. Great solution for a family, schools and/or public access point
    The ML component is based on scikit-learn which differentiates it from purely list-based filters. It couples this with a full-featured wireless router (RaspAP) in a single device, so it fulfills the needs of a use case not entirely addressed by Pi-hole. Source: about 1 year ago
  • PSA: You don't need fancy stuff to do good work.
    Finally, when it comes to building models and making predictions, Python and R have a plethora of options available. Libraries like scikit-learn, statsmodels, and TensorFlowin Python, or caret, randomForest, and xgboostin R, provide powerful machine learning algorithms and statistical models that can be applied to a wide range of problems. What's more, these libraries are open-source and have extensive... Source: about 1 year ago
  • Help on using R for Machine Learning?
    Scikit-learn is a machine learning library that comes with a number of pre-built machine learning models, which can then be used as python wrappers. Source: about 1 year 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

Thunkable - Powerful but easy to use, drag-and-drop mobile app builder.

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