Software Alternatives, Accelerators & Startups
Register | Login

Calm VS PyTorch

Compare Calm VS PyTorch 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

Calm logo Calm

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

PyTorch logo PyTorch

Open source deep learning platform that provides a seamless path from research prototyping to...
  • Calm Landing page
    Landing page //
    2023-09-27
  • PyTorch Landing page
    Landing page //
    2023-07-15

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.

PyTorch features and specs

  • Dynamic Computation Graph
    PyTorch uses a dynamic computation graph, which allows for interactive and flexible model building. This is particularly beneficial for researchers who need to modify the network architecture on-the-fly.
  • Pythonic Nature
    PyTorch is designed to be deeply integrated with Python, making it very intuitive for Python developers. The framework feels more 'native' to Python, which improves the ease of learning and use.
  • Strong Community Support
    PyTorch has a large, active, and growing community. This means abundant resources such as tutorials, forums, and third-party tools are available to help developers solve problems and share solutions.
  • Flexibility and Control
    PyTorch offers granular control over computations and provides extensive debugging capabilities. This level of control is beneficial for tasks that require precise tuning and custom implementations.
  • Support for GPU Acceleration
    PyTorch offers seamless integration with GPU hardware, which significantly accelerates the computation process. This makes it highly efficient for deep learning tasks.
  • Rich Ecosystem
    PyTorch has a rich ecosystem including libraries like torchvision, torchaudio, and torchtext, which are specialized for different data types and can significantly shorten development times.

Possible disadvantages of PyTorch

  • Limited Production Deployment Tools
    PyTorch is primarily designed for research rather than production. While deployment tools like TorchServe exist, they are not as mature or integrated as solutions offered by other frameworks like TensorFlow.
  • Lesser Adoption in Industry
    While PyTorch is popular among researchers, it has historically seen less adoption in industry compared to TensorFlow, which means there might be fewer resources for large-scale production deployments.
  • Inconsistent API Changes
    As PyTorch continues to evolve rapidly, occasionally there are breaking changes or inconsistent API updates. This can create maintenance challenges for existing codebases.
  • Steeper Learning Curve for Beginners
    Despite its Pythonic design, PyTorch's focus on flexibility and control can make it slightly harder for beginners to get started compared to some other high-level libraries and frameworks.
  • Less Mature Documentation
    Although the documentation is improving, it has been historically less comprehensive and mature compared to other frameworks like TensorFlow, which can make it difficult to find detailed, clear information.

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 PyTorch

Overall verdict

  • Yes, PyTorch is considered a good deep learning framework.

Why this product is good

  • Ease of Use: PyTorch has an intuitive interface that makes it easier to learn and use, especially for beginners.
  • Dynamic Computation Graphs: PyTorch employs dynamic computation graphs, which provide more flexibility in building and modifying models on the fly.
  • Strong Community and Support: PyTorch has a large and active community, offering extensive resources, forums, and tutorials.
  • Research Adoption: PyTorch is widely adopted in the research community, making state-of-the-art models and techniques readily available.
  • Integration: PyTorch integrates well with other libraries and tools in the Python ecosystem, providing robust support for various applications.

Recommended for

  • Researchers and Academics: Ideal for those who need a flexible and dynamic tool for experimenting with new models and techniques.
  • Industry Practitioners: Suitable for developers and data scientists working on production-level machine learning solutions.
  • Educators and Learners: Great for educational purposes due to its easy-to-understand syntax and comprehensive documentation.

Calm videos

+ Add

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

PyTorch videos

+ Add

PyTorch in 5 Minutes

More videos:

  • Review - Jeremy Howard: Deep Learning Frameworks - TensorFlow, PyTorch, fast.ai | AI Podcast Clips
  • Review - PyTorch at Tesla - Andrej Karpathy, Tesla

Category Popularity

0-100% (relative to Calm and PyTorch)

Calm

PyTorch

Health And Fitness
100 100%
Health And Fitness
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Meditation
100 100%
Meditation
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Calm and PyTorch. 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 Calm and PyTorch

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...
Source: www.verywellmind.com
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.
Source: insighttimer.com
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...
Source: www.independent.co.uk
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,...
Source: www.healthline.com

PyTorch Reviews

10 Python Libraries for Computer Vision
Similar to TensorFlow and Keras, PyTorch and torchvision offer powerful tools for computer vision tasks. PyTorch’s dynamic computation graph and torchvision’s datasets and pre-trained models make it easy to implement tasks such as image classification, object detection, and style transfer.
Source: clouddevs.com
25 Python Frameworks to Master
Along with TensorFlow, PyTorch (developed by Facebook’s AI research group) is one of the most used tools for building deep learning models. It can be used for a variety of tasks such as computer vision, natural language processing, and generative models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
PyTorch is another open-source machine learning framework that is widely used in academia and industry. PyTorch provides excellent support for building deep learning models, and it has several pre-trained models for computer vision tasks, making it the ideal tool for several computer vision applications. PyTorch offers a user-friendly interface that makes it easier for...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
When we compare HuggingFace model availability for PyTorch vs TensorFlow, the results are staggering. Below we see a chart of the total number of models available on HuggingFace that are either PyTorch or TensorFlow exclusive, or available for both frameworks. As we can see, the number of models available for use exclusively in PyTorch absolutely blows the competition out of...
Source: www.assemblyai.com
15 data science tools to consider using in 2021
First released publicly in 2017, PyTorch uses arraylike tensors to encode model inputs, outputs and parameters. Its tensors are similar to the multidimensional arrays supported by NumPy, another Python library for scientific computing, but PyTorch adds built-in support for running models on GPUs. NumPy arrays can be converted into tensors for processing in PyTorch, and vice...
Source: searchbusinessanalytics.techtarget.com

Social recommendations and mentions

Based on our record, PyTorch seems to be a lot more popular than Calm. While we know about 133 links to PyTorch, we've tracked only 8 mentions of Calm. 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
View more

PyTorch mentions (133)

  • Grasping Computer Vision Fundamentals Using Python
    To aspiring innovators: Dive into open-source frameworks like OpenCV or PyTorch, experiment with custom object detection models, or contribute to projects tackling bias mitigation in training datasets. Computer vision isn’t just a tool, it’s a bridge between the physical and digital worlds, inviting collaborative solutions to global challenges. The next frontier? Systems that don’t just interpret visuals, but... - Source: dev.to / 26 days ago
  • Top Programming Languages for AI Development in 2025
    With the quick emergence of new frameworks, libraries, and tools, the area of artificial intelligence is always changing. Programming language selection. We're not only discussing current trends; we're also anticipating what AI will require in 2025 and beyond. - Source: dev.to / about 1 month ago
  • Fine-tuning LLMs locally: A step-by-step guide
    Next, we define a training loop that uses our prepared data and optimizes the weights of the model. Here's an example using PyTorch:. - Source: dev.to / about 2 months ago
  • 10 Must-Have AI Tools to Supercharge Your Software Development
    8. TensorFlow and PyTorch: These frameworks support AI and machine learning integrations, allowing developers to build and deploy intelligent models and workflows. TensorFlow is widely used for deep learning applications, offering pre-trained models and extensive documentation. PyTorch provides flexibility and ease of use, making it ideal for research and experimentation. Both frameworks support neural network... - Source: dev.to / 4 months ago
  • Automating Enhanced Due Diligence in Regulated Applications
    Frameworks like TensorFlow and PyTorch can help you build and train models for various tasks, such as risk scoring, anomaly detection, and pattern recognition. - Source: dev.to / 4 months ago
View more

What are some alternatives?

When comparing Calm and PyTorch, you can also consider the following products

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

TensorFlow - TensorFlow is an open-source machine learning framework designed and published by Google. It tracks data flow graphs over time. Nodes in the data flow graphs represent machine learning algorithms. Read more about TensorFlow.

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.

Keras - Keras is a minimalist, modular neural networks library, written in Python and capable of running on top of either TensorFlow or Theano.

Pacifica - Stress and anxiety relief through beautiful CBT tools

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

Loading...