Software Alternatives, Accelerators & Startups
Register | Login

Icons8 VS PyTorch

Compare Icons8 VS PyTorch and see what are their differences

Electe
Discover Electe, our data analytics platform dedicated to SMEs. Don't let your data go unused, take your business into the future! 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

Icons8 logo Icons8

Free app for Mac & Windows already containing 39,800 icons. Allows to search and import icons…

PyTorch logo PyTorch

Open source deep learning platform that provides a seamless path from research prototyping to...
  • Icons8 Landing page
    Landing page //
    2023-09-03
  • PyTorch Landing page
    Landing page //
    2023-07-15

Icons8 features and specs

  • Large Collection
    Icons8 offers an extensive array of icons and illustrations, catering to a variety of themes and styles.
  • Customization
    Users can alter the design, color, and size of icons, making it versatile for different project needs.
  • Quality
    Icons8 maintains high design standards, ensuring that the icons are aesthetically pleasing and pixel-perfect.
  • Subscription Plans
    Various payment options are available, including a free tier and affordable premium plans with additional features.
  • Additional Resources
    Besides icons, Icons8 provides other resources like photos, music, and illustrations.
  • Easy Integration
    Icons can be easily integrated into various software tools like Adobe XD, Photoshop, Figma, and more.

Possible disadvantages of Icons8

  • Limited Free Plan
    The free tier has constraints on downloads and access to certain premium icons.
  • Account Requirement
    Users need to create an account to access even the free resources, which can be cumbersome.
  • Watermark
    Free downloaded icons come with a watermark, pushing users towards paid plans for unwatermarked versions.
  • Subscription Cost
    While reasonably priced, the subscription fees might still be a barrier for freelancers or small businesses with tight budgets.
  • Search Functionality
    Some users have reported that the search function could be improved for better accuracy and ease of finding specific icons.
  • License Restrictions
    Even with paid plans, certain license restrictions may apply, limiting the use in commercial projects or redistribution.

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 Icons8

Overall verdict

  • Icons8 is considered a good platform for designers looking for a comprehensive, seamless experience. Its combination of diverse assets, ease of use, and flexible pricing options make it a popular choice among designers.

Why this product is good

  • Icons8 is widely regarded as a reliable resource due to its extensive library of high-quality icons, illustrations, and design assets that cater to a broad range of design needs. The platform offers both free and paid options, allowing users to access a variety of styles and formats. Additionally, Icons8 provides user-friendly tools and integrations that streamline the design process for professionals and novices alike.

Recommended for

    Icons8 is highly recommended for graphic designers, web developers, UI/UX designers, and any creative professionals who require access to a diverse range of design assets. It is also suitable for individuals and businesses seeking to enhance their projects with high-quality visuals.

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.

Icons8 videos

+ Add

Icons8 Review

More videos:

  • Review - ICONS8 is NOT an icon's Planet It’s EVERYTHING's Planet | The A.I. Review Show | Ep 7
  • Review - Icons8 2020: Year in Review. Happy New Year, Creative People!

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 Icons8 and PyTorch)

Icons8

PyTorch

Web Icons
100 100%
Web Icons
0% 0
Data Science And Machine Learning
0 0%
Data Science And Machine Learning
100% 100
Design Tools
100 100%
Design Tools
0% 0
Data Science Tools
0 0%
Data Science Tools
100% 100

User comments

Share your experience with using Icons8 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 Icons8 and PyTorch

Icons8 Reviews

10 Best Fontello Alternatives 2021
Other powerful features that you can enjoy on Icons8 include HTML embedding, icon recoloring, multiple categories, edible icons, single style, fonts generator, and support for different languages. Icons8 is also free to use anytime and from anywhere just like Fontello.
Source: rigorousthemes.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 Icons8. 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.

Icons8 mentions (57)

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 / about 1 month 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 2 months 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 / 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 Icons8 and PyTorch, you can also consider the following products

Flaticon - A database of free vector icons.

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.

The Noun Project - Creating, Sharing and Celebrating the World's Visual Language

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

Font Awesome - Font Awesome makes it easy to add vector icons and social logos to your website. And version 5 is redesigned and built from the ground up!

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

Loading...