Software Alternatives, Accelerators & Startups

Figma VS PyTorch

Compare Figma VS PyTorch and see what are their differences

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.

Figma logo Figma

Team-based interface design, Figma lets you collaborate on designs in real time.

PyTorch logo PyTorch

Open source deep learning platform that provides a seamless path from research prototyping to...
  • Figma Landing page
    Landing page //
    2023-04-19
  • PyTorch Landing page
    Landing page //
    2023-07-15

Figma features and specs

  • Real-time Collaboration
    Figma allows multiple users to work on a design simultaneously, making it easy for teams to collaborate and provide real-time feedback without the need for constant file exchanges.
  • Cloud-Based
    Being cloud-based means that designers can access their projects from any device with an internet connection, enhancing flexibility and ensuring that the latest versions of files are always available.
  • Cross-Platform
    Figma is accessible on various operating systems, including Windows, macOS, and Linux, which makes it versatile for teams with diverse software environments.
  • Prototyping and Design in One Tool
    Figma integrates both design and prototyping features, reducing the need for additional tools and streamlining the design process from concept to final product.
  • Easy Handoff
    Developers can easily inspect elements, get CSS properties, and export assets directly from the design files, making the handoff process to development smooth and efficient.
  • Frequent Updates
    Figma regularly introduces new features and improvements, ensuring that users have access to the latest tools and functionalities in design.

Possible disadvantages of Figma

  • Internet Dependency
    Since Figma is cloud-based, a stable internet connection is necessary to access and edit projects. This can be a constraint in environments with poor internet connectivity.
  • Performance Issues
    With large files or complex projects, Figma can sometimes exhibit performance lags or slowdowns, which can impact productivity.
  • Limited Offline Capabilities
    Although some offline features are available, they are limited. Users may find it challenging to work without an internet connection, especially for collaborative efforts.
  • Cost
    While Figma offers a free tier, advanced features and higher usage limits require a paid subscription, which might be a barrier for freelancers or small teams with limited budgets.
  • Learning Curve for New Users
    New users, especially those transitioning from other design tools, might face a learning curve to fully grasp Figma's interface and functionalities.
  • Limited Advanced Vector Editing
    Compared to more specialized vector graphic tools like Adobe Illustrator, Figma’s vector editing capabilities might seem limited for complex, intricate designs.

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 Figma

Overall verdict

  • Yes, Figma is considered a highly effective and versatile design tool that caters to the needs of designers, developers, and project managers alike. Its robust set of features and cloud-based architecture make it a top choice for many teams.

Why this product is good

  • Figma is highly regarded for its user-friendly interface, real-time collaboration features, and powerful design tools that allow for seamless teamwork and efficient design processes. It operates entirely in the browser, which means no installation is necessary and it works across different operating systems. Figma is also praised for its extensive library of plugins and the ability to easily share design systems and prototypes.

Recommended for

  • UI/UX designers
  • Product teams
  • Remote design teams
  • Web and mobile app developers
  • Design educators and students

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.

Figma videos

Figma UI Design Tutorial: Get Started in Just 24 Minutes!

More videos:

  • Demo - What is Figma

PyTorch videos

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 Figma and PyTorch)
Design Tools
100 100%
0% 0
Data Science And Machine Learning
Prototyping
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 Figma and PyTorch

Figma Reviews

  1. Maksym Moskalenko
    · Founder at Mixcode.io ·
    Everything you need for design

    My favorite tool right now.

  2. Olaniyan Samuel
    · Content writer at Saas2biz.com ·
    Figma: An Essential Tool for Web Designers and Collaborators

    Figma, a versatile cloud-based design software, stands out among design tools due to its real-time collaboration feature. It caters not only to web design but also to print projects. Offering an intuitive interface and powerful features, it allows simultaneous editing, eliminating the hassle of file sharing. Figma's adaptability covers website, mobile app, and print layout design, supported by an array of customizable templates.

    Beyond designers, collaborators benefit from Figma's capabilities too. Project managers and clients can offer real-time feedback, streamlining reviews and expediting project progress. Its pricing model, featuring a free version with limited features and a paid option, suits various budgets, ensuring accessibility to freelancers and larger agencies alike.

    Core features like real-time collaboration, prototyping, and reusable design elements distinguish Figma. These features facilitate efficient design iterations, ensuring consistency and enabling users to test ideas before development. The tool's emphasis on seamless collaboration makes it a valuable asset for teams, fostering clear communication through comments directly on the design file.

    🏁 Competitors: Adobe XD, Framer, Sketch, Moqups
    👍 Pros:    Real-time collaboration|Versatility|Intuitive user interface|Feedback and communication|Prototyping capabilities|Accessibility
    👎 Cons:    Learning curve|Internet dependency|Limited free version|Security concerns|Complexity in large projects
  3. Hussain Raza
    · Design at Fiverr.com ·
    The best designing app for your website!

    It is user friendly app with alot of modern features which give your website a cool look

    🏁 Competitors: Adobe Illustrator
    👍 Pros:    Easy to use|User friendly interface
    👎 Cons:    Expensive

Top 6 Figma Alternatives: Prototyping and UI/UX Tools
Figma is a tool that almost everyone has heard about, whether you are a designer, programmer, or marketer. However, for those unfamiliar with Figma, it is a flexible web design platform that allows real-time teamwork to create interactive user interface prototypes. Due to Figma's high accessibility and browser compatibility, designers can work from anywhere. Figma provides a...
Source: fronty.com
10 Best Figma Alternatives in 2024
Figma is the preferred tool of many professionals in the field of interactive design, real prototyping and graphic design. Figma simplifies and speeds up the brainstorming process with its online whiteboards and loaded frames. There are other collaborative design and prototype platforms available except Figma, which is definitely among the best. It’s too difficult for some...
Top 10 Figma Alternatives for Your Design Needs | ClickUp
Whatever your reason for seeking a Figma alternative, there are plenty of options that can help you ace the design game. In this article, we’ll introduce you to the top 10 Figma alternatives, discuss their pros and cons, and help you find the best solution for your design workflows.
Source: clickup.com
9 Best InVision Alternatives to Switch to in 2024
Siter’s official Figma plugin makes it easy to import Figma designs directly to the platform.
Source: designmodo.com
Figma Alternatives: 12 Prototyping and Design Tools in 2024
Prototyping is a concept where you and your team draft a version of a product. For many designers, Figma is the go-to design platform to do this. However, if you’re looking for an alternative to Figma, look no further, as we’ll list 12 of the best prototyping and design tools available in 2023.

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...
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...

Social recommendations and mentions

PyTorch might be a bit more popular than Figma. We know about 133 links to it since March 2021 and only 108 links to Figma. 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.

Figma mentions (108)

  • The Best 100 Free UI/UX Resources for Every Designer & Developer
    Figma Figma.com Collaborative design tool with vector graphics, prototyping, and developer handoff features. Free for individuals. - Source: dev.to / 3 months ago
  • Ask HN: Who is hiring? (February 2025)
    Figma | Security Engineer | Remote or Hybrid (SF, NYC, Seattle) | https://figma.com | Full-Time, $149-350k + Equity Figma makes the modern tools that modern companies use to design apps. And because of that highly sensitive data, security is extremely important to get right. (If the next iPhone were designed using Figma and a breach leaked it... yeah, you get the point.) Anyway, I am on the security team over here... - Source: Hacker News / 4 months ago
  • CSS is Emotional: z-index and the Hierarchy of Needs
    Imagine shuffling papers on a desk. Even though the desk is flat, papers stack in layers—some on top, others below. That's exactly what z-index does on websites. If you're familiar with tools like Canva, PowerPoint, Photoshop, or Figma, you know this feature as "Send to Back" or more accurately, "Arrange" or "Position". - Source: dev.to / 5 months ago
  • You Are Already Using Wasm In Production
    If you use Microsoft’s online Office.com suite or the popular Figma graphics tool, you’ve already used Wasm in production. If you’ve used a device to watch streaming services like BBC or Amazon Prime, you’ve already used Wasm in production. In fact, you’re using Wasm in production right now. This website has been powered by server-side Wasm since its initial launch in February of 2022. Our serverless platform for... - Source: dev.to / 6 months ago
  • My tech stack for startups in 2025
    I'm continuing to use Adobe's Creative Cloud. Photoshop, Illustrator, and Premiere Pro are tools that I already know my way around so I'm keeping those close. I know that many people love how quick and easy it is to get something done with tools like Canva or Figma. I think whatever you are comfortable with and enables you to move fast you should keep using. - Source: dev.to / 7 months 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 / 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 Figma and PyTorch, you can also consider the following products

Adobe XD - Adobe XD is an all-in-one UX/UI solution for designing websites, mobile apps and more. 

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.

Sketch - Professional digital design for Mac.

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

Invision - Prototyping and collaboration for design teams

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