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Scikit-learn VS AngularJS

Compare Scikit-learn VS AngularJS and see what are their differences

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Scikit-learn logo Scikit-learn

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

AngularJS logo AngularJS

AngularJS lets you extend HTML vocabulary for your application. The resulting environment is extraordinarily expressive, readable, and quick to develop.
  • Scikit-learn Landing page
    Landing page //
    2022-05-06
  • AngularJS Landing page
    Landing page //
    2022-04-15

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.

AngularJS features and specs

  • Two-way data binding
    AngularJS's two-way data binding feature synchronizes data between the model and the view components, reducing the amount of boilerplate code required for data manipulation and improving ease of use.
  • Dependency Injection
    The built-in dependency injection mechanism in AngularJS facilitates better organization and management of services, making the code more modular, testable, and reusable.
  • Modular Development
    AngularJS allows developers to break down applications into modules. This modular approach helps in better code organization, easier maintenance, and parallel development.
  • Community and Ecosystem
    Backed by Google, AngularJS has a large and active community. This extensive support system provides a wealth of resources, plugins, and third-party tools that can facilitate the development process.
  • Directives
    Directives in AngularJS allow developers to extend HTML with new attributes and elements, enabling the creation of custom and reusable components with ease.
  • MVVM Architecture
    The Model-View-ViewModel (MVVM) architecture promotes the separation of concerns, allowing developers to work on different parts of the application without interfering with each other.

Possible disadvantages of AngularJS

  • Performance Issues
    AngularJS's two-way data binding can induce performance issues in large applications due to the constant checking and updating of the binding, which can impact the overall application speed.
  • Steep Learning Curve
    The complexity of AngularJS, with its various concepts such as directives, dependency injection, and MVVM architecture, can present a steep learning curve for new developers.
  • Migration Challenges
    Migrating from AngularJS to newer versions like Angular (2+), which are fundamentally different, poses significant challenges and often requires a complete codebase rewrite.
  • Verbose Code
    AngularJS's syntax can sometimes lead to verbose and complicated code, which can be difficult to read and maintain, especially for large-scale applications.
  • Limited Mobile Support
    Despite its strengths, AngularJS does not offer the same level of performance optimization for mobile applications, making it less ideal for mobile-first development compared to some other frameworks.
  • Legacy Framework
    AngularJS is considered a legacy framework with a focus shifted towards Angular (2+). As a result, it receives fewer updates and less community attention compared to newer frameworks.

Analysis of Scikit-learn

Overall verdict

  • Yes, Scikit-learn is generally regarded as a good library for machine learning, especially for beginners and intermediate users who need reliable tools with efficient implementation of numerous algorithms.

Why this product is good

  • Scikit-learn is considered a good machine learning library because it provides a wide range of state-of-the-art algorithms for supervised and unsupervised learning. It is designed to interoperate with the Python numerical and scientific libraries NumPy and SciPy. The library is well-documented, easy to use, and has a consistent API that simplifies the integration of different algorithms. Furthermore, there's a strong community and continuous development, which means it is well-maintained and updated regularly with new features and improvements.

Recommended for

  • Beginners learning machine learning concepts and application.
  • Data scientists and engineers looking for a robust and efficient toolkit to build and deploy machine learning models.
  • Researchers who need an easy-to-use library that facilitates the experimentation of various algorithms.
  • Developers who require a seamless, Python-based machine learning library that integrates well with other data analysis tools and environments.

Scikit-learn videos

+ Add

Learning Scikit-Learn (AI Adventures)

More videos:

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

AngularJS videos

+ Add

What Is AngularJS

More videos:

  • Review - AngularJS Fundamentals In 60-ish Minutes

Category Popularity

0-100% (relative to Scikit-learn and AngularJS)

Scikit-learn

AngularJS

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Javascript UI Libraries
0 0%
Javascript UI Libraries
100% 100
Data Science Tools
100 100%
Data Science Tools
0% 0
JavaScript Framework
0 0%
JavaScript Framework
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 Scikit-learn and AngularJS

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

AngularJS Reviews

Top JavaScript Frameworks in 2025
AngularJS is an open-source framework used for developing web applications. Google developed it and made it open-source in 2010. It is one of the top choices of developers when it comes to building web applications using JavaScript. Hire web developers from SolGuruz and allow us to help you build white-label solutions.
Source: solguruz.com
20 Next.js Alternatives Worth Considering
Yes, Angular Universal provides server-side rendering capabilities for Angular applications. This tool allows Angular apps to benefit from SSR, improving performance and SEO by rendering pages on the server before sending them to the client.
Source: tms-outsource.com
The 20 Best Laravel Alternatives for Web Development
NestJS is a Node.js framework that’s inspired by Angular, and guess what? It’s written in TypeScript. Building with Typescript is like you’re navigating with the stars. It’s all about sturdy architecture, a server-side framework that enjoys the scripting superness while piling on extra sturdiness.
Source: tms-outsource.com
Top 9 best Frameworks for web development
The best frameworks for web development include React, Angular, Vue.js, Django, Spring, Laravel, Ruby on Rails, Flask and Express.js. Each of these frameworks has its own advantages and distinctive features, so it is important to choose the framework that best suits the needs of your project.
Source: www.kiwop.com
9 Best JavaScript Frameworks to Use in 2023
Angular.js is a powerful JavaScript-based web development framework. It has been designed to make web development more efficient and easy to use. Angular.js is based on the Model-View-Controller (MVC) architecture, which makes it easy to develop dynamic web applications. It also provides many features that make web development more efficient, such as data binding, dependency...
Source: ninetailed.io

Social recommendations and mentions

Based on our record, AngularJS should be more popular than Scikit-learn. It has been mentiond 50 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.

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 / 4 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 / 6 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 / 12 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 / over 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

AngularJS mentions (50)

  • Between Diapers and Development – How My Blog Came to Life with Eleventy
    To maximize learning, I could choose something new. Normally, I consider that a valid reason. But given my limited time, that wasn't a priority for me. Another criterion could be long-term viability: Is there a large core team and an active community? Well, who still remembers AngularJS? From Google? And didn’t Facebook/Meta start Jest? I wouldn’t rely too much on that. - Source: dev.to / 2 months ago
  • 11 Quick and Easy Tips for Optimizing AngularJS Performance
    AngularJS is an open-source JavaScript framework that developers use to build frontend applications. It comes with modular support, an extensive community, and all the tools that help develop and manage dynamic frontend web apps. - Source: dev.to / 5 months ago
  • Angular Tutorial: Host Element Binding
    Ok, what we'll use now is something that existed back in the day, after we switched from AngularJS to Angular 2 or modern Angular. We'll use the old/new host property on the component decorator. - Source: dev.to / 11 months ago
  • ⏰ It’s time to talk about Import Map, Micro Frontend, and Nx Monorepo
    Just to give you more context, I led the migration of several AngularJS applications to the newer Angular Framework. My client finally decided to make that move following the AngularJS deprecation announcement (stay up to date please 🙏)️. - Source: dev.to / about 1 year ago
  • JS Toolbox 2024: Essential Picks for Modern Developers Series Overview
    The next post in the series provides a thorough comparison of popular frameworks like React, Vue, Angular, and Svelte, focusing on their unique features and suitability for different project types. - Source: dev.to / over 1 year ago
View more

What are some alternatives?

When comparing Scikit-learn and AngularJS, 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.

Vue.js - Reactive Components for Modern Web Interfaces

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

React - A JavaScript library for building user interfaces

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

ember.js - A JavaScript framework for creating ambitious web apps

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