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SelfControl VS Scikit-learn

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

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SelfControl logo SelfControl

V2 updates! - Custom time interval for distraction free mode - Ability to turn off ' always on' mode - Improved UI -- Self Control -- A simple app to keep you focused online by blocking sites that you spend way too much time on.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • SelfControl Landing page
    Landing page //
    2023-06-19
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

SelfControl features and specs

  • Effective Website Blocking
    SelfControl blocks access to distracting websites based on a customizable blocklist, helping users stay focused.
  • Timer Functionality
    Users can set a timer for how long they want websites to remain blocked, ensuring focused work periods without distraction.
  • Free to Use
    SelfControl is open-source and free to download and use, making it accessible to anyone without financial barriers.
  • Easy to Use
    The interface is straightforward and user-friendly, allowing users to quickly set their preferences and get started.

Possible disadvantages of SelfControl

  • Mac-Only
    SelfControl is only available for macOS, excluding Windows and Linux users from using the application.
  • No Undo Option
    Once the block period is set and started, it cannot be undone even by restarting the computer, which could be an issue if access to blocked sites is needed unexpectedly.
  • Limited Feature Set
    The app primarily focuses on website blocking, lacking additional productivity tools or features like app blocking or usage analytics.
  • No Scheduled Blocking
    SelfControl does not offer the ability to schedule block sessions in advance, meaning users must manually start each session.

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.

Analysis of SelfControl

Overall verdict

  • Overall, SelfControl is a highly recommended tool for individuals looking to enhance their productivity by minimizing digital distractions. Its open-source nature and no-nonsense approach make it a popular choice among students, freelancers, and professionals alike.

Why this product is good

  • SelfControl is considered a good application because it effectively blocks distracting websites, helping users focus on their tasks without getting sidetracked by online distractions. It's simple to use, efficient, and highly customizable, allowing users to specify which sites to block and for how long, ensuring a tailored productivity experience.

Recommended for

    SelfControl is ideal for students who need to concentrate on studying, remote workers who want to avoid procrastination, freelancers who require discipline in managing their time, and anyone who needs a simple solution to reduce digital distractions during focused work periods.

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.

SelfControl videos

+ Add

How to block websites that distract you ? Selfcontrol [Mac App review and tutorial]

More videos:

  • Review - SelfControl Review - Block distracting websites

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 SelfControl and Scikit-learn)

SelfControl

Scikit-learn

Time Tracking
100 100%
Time Tracking
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Productivity
100 100%
Productivity
0% 0
Data Science Tools
0 0%
Data Science Tools
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 SelfControl and Scikit-learn

SelfControl Reviews

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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, SelfControl should be more popular than Scikit-learn. It has been mentiond 75 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.

SelfControl mentions (75)

  • My 30-Year Quitting Addiction
    There is a free and open source app called SelfControl for macOS. It allows one to block access to any site one adds to the list in the app for the amount of time the user chooses. Attempt to use multiple browsers, restarting one's machine, deleting the app, etc. won't get around the block either. It's been super helpful for me, so I thought I'd just throw it out there. https://selfcontrolapp.com. - Source: Hacker News / over 1 year ago
  • App to prevent distractions at work
    It is SelfControl. It is open-source and free. You select the website you want to block and the time. The moment you click the button no matter what you do, you can forget about accessing those websites until the time is over; there is no cancel button. Restarted mac won't work, you can delete the app no luck. Source: over 1 year ago
  • App to prevent distractions at work
    The SelfControl app lets you specify web sites that will be blocked. When you run the app, you specify a countdown timer, during which time those apps will be inaccessible. Source: over 1 year ago
  • Finals season
    - https://selfcontrolapp.com/ this is free app. block off all social media and time wasters .. Only for mac. if there is nothing to be distracted... IMO I eventually be bored and I was able to get into the zone... Not right away... But I told my self... Today I study... And I stay in the study room. Source: over 1 year ago
  • Looking for the right app
    Apps I have tried and are not enough: - https://heyfocus.com/ - https://freedom.to/ - https://selfcontrolapp.com/ - https://www.forestapp.cc/ - https://www.rescuetime.com/. Source: over 1 year ago
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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 / about 1 year 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 / about 2 years ago
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What are some alternatives?

When comparing SelfControl and Scikit-learn, you can also consider the following products

Cold Turkey - Cold Turkey is a free productivity program that you can use to temporarily block distractions so that you can get your work done!

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

Focus App - New Tab page that gives you a moment of calm and inspires you to be more productive.

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

Freedom.to - Freedom is a productivity hack that lets you block apps, websites or the entire Internet on iPhones, iPads, Windows and Mac computers.

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

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