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NativeScript VS PyTorch

Compare NativeScript VS PyTorch and see what are their differences

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NativeScript logo NativeScript

Build truly native apps with JavaScript

PyTorch logo PyTorch

Open source deep learning platform that provides a seamless path from research prototyping to...
  • NativeScript Landing page
    Landing page //
    2023-10-21
  • PyTorch Landing page
    Landing page //
    2023-07-15

NativeScript features and specs

  • Cross-Platform Development
    NativeScript allows developers to write code once and deploy it across multiple platforms, including iOS and Android, which saves time and resources.
  • Native Performance
    Since NativeScript directly uses native components, it delivers high performance comparable to native applications, unlike some other cross-platform solutions.
  • Rich Ecosystem
    NativeScript offers a rich ecosystem of plugins and modules, making it easy to extend functionalities and integrate with various services.
  • Single Codebase
    Maintaining a single codebase for both iOS and Android reduces development and debugging efforts.
  • Open Source
    Being open source, NativeScript has strong community support and continuous improvements driven by developers around the world.
  • Access to Native APIs
    NativeScript allows direct access to native APIs, giving developers more flexibility and control over platform-specific features.

Possible disadvantages of NativeScript

  • Steep Learning Curve
    The framework requires an understanding of native development concepts, which can be complex for new developers or those not familiar with mobile development.
  • Lack of Third-Party Components
    Compared to more mature frameworks, NativeScript has a limited number of third-party libraries and UI components available.
  • Performance Overhead
    Despite high performance, there is still some overhead compared to fully native applications due to the abstraction layer.
  • Limited Community Support
    Although the community is growing, it is still smaller compared to mainstream frameworks like React Native or Flutter, which might result in slower issue resolution and fewer resources.
  • Maintenance and Updates
    Keeping the framework and its plugins up to date with the latest iOS and Android releases can be challenging and resource-intensive.

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 NativeScript

Overall verdict

  • NativeScript is considered a good choice for developers seeking to create cross-platform mobile applications with a native look and feel while using web technologies they are already familiar with. It balances the flexibility of web development with the performance and capability of native apps.

Why this product is good

  • NativeScript is a popular open-source framework for building native mobile applications using JavaScript, TypeScript, Angular, Vue.js, or Svelte. It allows developers to write and maintain a single codebase for both iOS and Android, which can significantly reduce development time and effort. NativeScript provides access to native APIs, ensuring that apps can leverage device capabilities to deliver a truly native user experience. Additionally, the community and plugin ecosystem offer resources and tools to enhance app functionality and streamline development processes.

Recommended for

  • Web developers looking to leverage their existing skills to build mobile apps.
  • Teams that need to maintain a single codebase for multiple platforms.
  • Projects that require deep integration with native device features.
  • Developers familiar with frameworks like Angular, Vue.js, or Svelte who want to build mobile applications.

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.

NativeScript videos

+ Add

NativeScript VS React Native 2019 | performance | community | plugins

More videos:

  • Review - Which one is best for you? Flutter, React Native, Ionic or NativeScript?
  • Review - 7 Things to Know When Learning NativeScript

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 NativeScript and PyTorch)

NativeScript

PyTorch

Development Tools
100 100%
Development Tools
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
JavaScript Framework
100 100%
JavaScript Framework
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 NativeScript and PyTorch

NativeScript Reviews

Top 10 Flutter Alternatives for Cross-Platform App Development
With the framework, developers get the option to craft a completely native experience even without interfering with the user interface. Those who are familiar with JavaScript can leverage NativeScript to its fullest.
Source: www.moontechnolabs.com
Top 5 Flutter Alternatives for Cross-Platform Development
NativeScript is a powerful framework that empowers developers to build Web, iOS, Android, and Vision Pro apps on a single codebase. If you’re comfortable with web development, especially Angular or VueJS, you’ll find NativeScript accessible.
Source: www.miquido.com
10 Best Open Source Firebase Alternatives
The native apps you develop use the richness of the mobile platform and offer the performance you need for mobile devices. NativeScript uses native APIs and controls to render, allowing you to create more sophisticated apps compared to using a hybrid approach.
Source: rigorousthemes.com
10 Best Tools to Develop Cross-Platform Desktop Apps 
NativeScript doesn’t require Angular or Vue.js but works better when used together for cross-platform app development. This runtime framework implements JavaScript, its superset TypeScript and Angular Native, and can render a variety of apps, be they gaming, streaming, geolocation, or chat apps. The user interface is in XML and CSS. A single, reusable codebase can be applied...
Source: www.westagilelabs.com
Top JavaScript Frameworks For Mobile App Development
NativeScript is an open-source, cross-platform, free mobile framework that assists in the creation of a truly native Android and iOS mobile apps. These apps can be built with JavaScript, Angular, Vue.js or TypeScript. Programming using NativeScript reduces the development time and lines of code, to a large extent. Many organizations globally have been implementing it because...
Source: medium.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 should be more popular than NativeScript. It has been mentiond 133 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.

NativeScript mentions (20)

  • What are JavaScript Engines?
    NativeScript is a good example of a runtime built specifically for cross-platform native mobile application development built using JavaScript. - Source: dev.to / 5 months ago
  • Gio UI – Cross-Platform GUI for Go
    A long time ago, nativescript[1] seemed to be a strong alternative to reactnative. Is that still the case? [1] https://nativescript.org/. - Source: Hacker News / about 1 year ago
  • Ask HN: Flutter or React Native?
    I'm curious about this topic as well. I would also add NativeScript[1] in the comparison. [1] https://nativescript.org/. - Source: Hacker News / about 1 year ago
  • Svelte Native: The Svelte Mobile Development Experience
    This is not so much the Svelte equivalent of React Native as it is just NativeScript (https://nativescript.org). - Source: Hacker News / over 1 year ago
  • Mobile App Development for both iOS and Andriod
    There is also https://nativescript.org/ which would allow you to use Vue (or several other frameworks) to build a mobile app. Used it myself a while back for an iPad app using Vue 2 and it was pretty straightforward. It seems like there have been quite a few improvements since then so might be worth a look. Source: about 2 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 NativeScript and PyTorch, you can also consider the following products

React Native - A framework for building native apps with React

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.

Ionic - Ionic is a cross-platform mobile development stack for building performant apps on all platforms with open web technologies.

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

Apache Cordova - Platform for building native mobile applications using HTML, CSS and JavaScript

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

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