Software Alternatives, Accelerators & Startups

Calm VS Scikit-learn

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

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Calm logo Calm

Calm.com can help you reduce stress and increase calm.

Scikit-learn logo Scikit-learn

scikit-learn (formerly scikits.learn) is an open source machine learning library for the Python programming language.
  • Calm Landing page
    Landing page //
    2023-09-27
  • Scikit-learn Landing page
    Landing page //
    2022-05-06

Calm features and specs

  • User-Friendly Interface
    Calm offers a clean, easy-to-navigate interface that makes it accessible for users of all ages and technical abilities.
  • Wide Range of Content
    Calm provides a broad variety of meditation types, sleep stories, and relaxation music, catering to various preferences and needs.
  • High-Quality Audio
    The app's audio quality is excellent, enhancing the overall user experience and effectiveness of its meditative and sleep-inducing content.
  • Expert-Led Sessions
    Meditations and lessons are led by experienced mindfulness instructors, offering professional quality guidance.
  • Regular Updates
    Calm frequently adds new content, keeping the experience fresh and engaging for long-time users.

Possible disadvantages of Calm

  • Subscription Cost
    Calm requires a subscription for full access, which might be expensive for some users compared to other meditation and relaxation apps.
  • Limited Free Content
    The free version of the app offers limited access to its features, restricting the user's experience until they subscribe to the premium service.
  • Compatibility Issues
    Some users have reported occasional compatibility problems with certain devices or operating systems.
  • Data Usage
    Streaming high-quality audio content can consume a significant amount of data, which might be a concern for users with limited data plans.
  • Distracting Notifications
    Some users find the in-app notifications and suggestions for premium content distracting, disrupting the meditative experience.

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 Calm

Overall verdict

  • Calm is generally regarded as a beneficial tool for individuals looking to incorporate mindfulness and relaxation practices into their daily routine. Its wide array of resources and personalized content make it a standout choice among meditation and wellness apps.

Why this product is good

  • Calm is considered a good application due to its comprehensive range of features aimed at improving mental well-being. These features include guided meditations, sleep stories narrated by well-known voices, soothing music, and breathing exercises. The app is praised for its user-friendly interface and its ability to cater to both beginners and experienced users in meditation and relaxation techniques.

Recommended for

  • Individuals seeking stress relief and relaxation
  • People interested in learning meditation techniques
  • Those struggling with sleep issues
  • Users looking for mental well-being and focus improvement
  • Anyone wanting to include mindfulness practices in their routine

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.

Calm videos

Calm App Review 2020: A Psychologist's Honest Opinion

More videos:

  • Review - Meditation Apps: Headspace vs Calm!
  • Review - I Drank MAGNESIUM Before Bed for a Month | CALM MAGNESIUM HONEST REVIEW

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 Calm and Scikit-learn)
Health And Fitness
100 100%
0% 0
Data Science And Machine Learning
Meditation
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 Calm and Scikit-learn

Calm Reviews

The 7 Best Meditation Apps of 2024
What's keeping you up at night? Anxious thoughts? Lack of focus? A stressed-out psyche? Calm’s guided meditations will have you sleeping soundly and feeling more relaxed almost instantly. When we tried Calm, we were immediately impressed with the breadth of content available—everything from soothing soundscapes to narrated meditations to sleep stories. Since we have always...
10 Best Headspace Alternatives
With over 4.5 million subscribers, Calm is a meditation and mindfulness app that specializes in sleep meditations and sleep stories for adults and children. Some of these stories are narrated by popular celebrities, like Matthew McConaughey and LeBron James. Calm also features a collection of background music for sleep.
Eight Meditation Apps That Are Cheaper (and Better) Than Headspace and Calm
Ten Percent Happier is not a cheaper alternative to Headspace or Calm, exactly—the annual membership is $99—but it’s certainly better than both of those options when it comes to targeted meditation training. The app curates a selection of diverse teachers, that help you practice mindfulness. There are more than 500 guided meditations in the app.
Source: lifehacker.com
12 best mindfulness apps to help you keep calm during a crisis
We loved Calm when we tested it previously, particularly its guided Daily Calm sessions, which helped us unwind and refocus our attention. But the app has bolstered its already-great offering this year, with the addition of a new daily meditation series called the Daily Trip. Narrated by Canadian author and meditation teacher Jeff Warren, the Daily Trip offers a more...
The Best Meditation Apps of 2020
This award-winning app has calming exercises, breathing techniques to help you relax, and even a Calm Kids section with meditations for kids between 3 and 17. The Sleep Stories section features a great mix of voice talent — you may recognize actors Matthew McConaughey or Jerome Flynn — to lull you to sleep. For a mindful experience you can access right from your Apple Watch,...

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, Scikit-learn should be more popular than Calm. It has been mentiond 31 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.

Calm mentions (8)

  • Alternatives to scrolling Reddit?
    Meditation. try the calm app or calm.com for sleep stories or sleep body scans. Source: about 2 years ago
  • Redeeming Benefit via App Store?
    If I purchase the Calm membership through the app store, will the rebate still post? I saw in the details it specified "calm.com." Does anyone know for sure? Source: over 2 years ago
  • [NeedAdvice] 1 Thinking too much is destroying my life. How can I shut down thinking and start living outside of my head?
    I found Waking Up to require more effort than calm.com (or headspace). The latter apps tend to focus on simple things: e.g. Focus on your breathing whereas Waking Up is actually much more about challenging your beliefs of what it even means to exist. Source: almost 3 years ago
  • Some Free Dumps for you Guys + Selling Calm.com 1 Year Family Account
    Also for now I am selling Calm.com 1 Year Family Account for $7. Source: about 3 years ago
  • Yoga as an exjw
    I don't do full yoga but trying out calm.com and just some mind clearing meditation daily is great for unclenching the upper stomach muscles around the diaphragm that you don't realize clench from day-to-day stress. I remember wanting to try it when I was younger because I've always had an issue with holding onto anger and frustration but was told the whole "emptying your mind lets Satan in" business. Source: over 3 years 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 / 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
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What are some alternatives?

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

Headspace - Meditation made simple. Brilliant things happen in calm minds.

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

Medito - 100% Free Meditation App that will improve your Mental wellbeing with the help of Guided Meditations, Breathing Exercises, Mindfulness Practices, Relaxing Sounds, and more.

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

Pacifica - Stress and anxiety relief through beautiful CBT tools

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