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TensorFlow VS GDevelop

Compare TensorFlow VS GDevelop and see what are their differences

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TensorFlow logo 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.

GDevelop logo GDevelop

GDevelop is an open-source game making software designed to be used by everyone.
  • TensorFlow Landing page
    Landing page //
    2023-06-19
  • GDevelop Landing page
    Landing page //
    2023-10-23

TensorFlow features and specs

  • Comprehensive Ecosystem
    TensorFlow offers a complete ecosystem for end-to-end machine learning, covering everything from data preprocessing, model building, training, and deployment to production.
  • Community and Support
    TensorFlow boasts a large and active community, as well as extensive documentation and tutorials, making it easier for beginners to learn and experts to get help.
  • Flexibility
    TensorFlow supports a wide range of platforms such as CPUs, GPUs, TPUs, mobile devices, and embedded systems, providing flexibility depending on the user's needs.
  • Integrations
    TensorFlow integrates well with other Google products and services, including Google Cloud, facilitating seamless deployment and scaling.
  • Versatility
    TensorFlow can be used for a wide range of applications from simple neural networks to more complex projects, including deep learning and artificial intelligence research.

Possible disadvantages of TensorFlow

  • Complexity
    TensorFlow can be challenging to learn due to its complexity and the steep learning curve, particularly for beginners.
  • Performance Overhead
    Although TensorFlow is powerful, it can sometimes exhibit performance overhead compared to other, lighter frameworks, leading to longer training times.
  • Verbose Syntax
    The code in TensorFlow tends to be more verbose and less intuitive, which can make writing and debugging code more cumbersome relative to other frameworks like PyTorch.
  • Compatibility Issues
    Frequent updates and changes can lead to compatibility issues, requiring significant effort to keep libraries and dependencies up to date.
  • Mobile Deployment
    While TensorFlow supports mobile deployment, it is less optimized for mobile platforms compared to some other specialized frameworks, leading to potential performance drawbacks.

GDevelop features and specs

  • User-Friendly Interface
    GDevelop provides a drag-and-drop interface, making it accessible for beginners who don't have prior coding experience.
  • Cross-Platform Export
    Games created with GDevelop can be exported to multiple platforms, including Windows, macOS, Linux, Android, iOS, and the web.
  • Free and Open Source
    GDevelop is completely free and its source code is open for anyone to modify and improve.
  • Extensive Documentation
    The platform provides a wide range of tutorials, examples, and thorough documentation, making it easier for developers to learn and utilize the tool.
  • Vibrant Community
    An active community forum and resources are available, providing support and opportunities for collaboration.
  • No-Code Solution
    GDevelop allows game creation without any coding, making it highly suitable for rapid prototyping and educational purposes.

Possible disadvantages of GDevelop

  • Performance Limitations
    The engine may struggle with performance issues for more complex games, especially those with high-end graphics and intensive computations.
  • Limited Advanced Features
    While suitable for 2D game development, GDevelop lacks advanced features found in other engines, potentially limiting more experienced developers.
  • Learning Curve for Advanced Usage
    Although easy for beginners, mastering the platform for more complex projects can have a steep learning curve.
  • Limited Integration
    Integration with third-party tools and services is not as extensive as in some other, more established game development engines.
  • Project Collaboration
    Collaborative features are relatively basic, potentially making it less ideal for larger, team-based projects.
  • 2D Only
    GDevelop focuses exclusively on 2D game development, which can be a downside for those looking to develop 3D games.

TensorFlow videos

+ Add

What is Tensorflow? - Learn Tensorflow for Machine Learning and Neural Networks

More videos:

  • Tutorial - TensorFlow In 10 Minutes | TensorFlow Tutorial For Beginners | Deep Learning & TensorFlow | Edureka
  • Review - TensorFlow in 5 Minutes (tutorial)

GDevelop videos

+ Add

GDevelop 5 -- Ultimate Beginner Game Engine?

More videos:

  • Review - Clickteam Fusion 2.5 Vs GDevelop 5 - (Game Engine REVIEW 2019 )
  • Review - Clickteam Fusion 2.5 Vs GDevelop 5 - (Game Engine REVIEW 2020 )
  • Tutorial - Beginner Multiplayer Tutorial

Category Popularity

0-100% (relative to TensorFlow and GDevelop)

TensorFlow

GDevelop

Data Science And Machine Learning
100 100%
Data Science And Machine Learning
0% 0
Game Development
0 0%
Game Development
100% 100
AI
100 100%
AI
0% 0
Game Engine
0 0%
Game Engine
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 TensorFlow and GDevelop

TensorFlow Reviews

7 Best Computer Vision Development Libraries in 2024
From the widespread adoption of OpenCV with its extensive algorithmic support to TensorFlow's role in machine learning-driven applications, these libraries play a vital role in real-world applications such as object detection, facial recognition, and image segmentation.
Source: www.labellerr.com
10 Python Libraries for Computer Vision
TensorFlow and Keras are widely used libraries for machine learning, but they also offer excellent support for computer vision tasks. TensorFlow provides pre-trained models like Inception and ResNet for image classification, while Keras simplifies the process of building, training, and evaluating deep learning models.
Source: clouddevs.com
25 Python Frameworks to Master
Keras is a high-level deep-learning framework capable of running on top of TensorFlow, Theano, and CNTK. It was developed by François Chollet in 2015 and is designed to provide a simple and user-friendly interface for building and training deep learning models.
Source: kinsta.com
Top 8 Alternatives to OpenCV for Computer Vision and Image Processing
TensorFlow is an open-source software library for dataflow and differentiable programming across a range of tasks such as machine learning, computer vision, and natural language processing. It provides excellent support for deep learning models and is widely used in several industries. TensorFlow offers several pre-trained models for image classification, object detection,...
Source: www.uubyte.com
PyTorch vs TensorFlow in 2022
There are a couple of notable exceptions to this rule, the most notable being that those in Reinforcement Learning should consider using TensorFlow. TensorFlow has a native Agents library for Reinforcement Learning, and Deepmind’s Acme framework is implemented in TensorFlow. OpenAI’s Baselines model repository is also implemented in TensorFlow, although OpenAI’s Gym can be...
Source: www.assemblyai.com

GDevelop Reviews

16 Scratch Alternatives
Beginners who don’t have any programming skills but still want to create some games can quickly access one of the best platforms based on the open source network to help them develop games named the GDevelop. This platform lets users release their creative skills to quickly build games, such as puzzles, shoot-em-ups, strategy, racing, adventure, and more. It can even permit...
Source: www.justalternativeto.com
20 Best Scratch Alternatives 2023
GDevelop is described as a “free and easy game-making app.” It’s similar to Scratch in that it’s a no-code platform; it doesn’t require using programming languages. GDevelop is also free and open source.
Source: rigorousthemes.com
Trending 10 BEST Video Game Design & Development Software 2021
Open-source free software, GDevelop allows developers to make games without programming skills. It allows you to create objects for games such as sprites, text objects, video objects, and custom shapes.
Source: www.softwaretestinghelp.com
Best Game Engines for Linux in 2021
Construct 3 is free with limits. After that, you have to sign up for a monthly subscription. If you can not afford to pay for it, you can use GDevelop, an alternative to Construct 3 for Linux.
Source: kerneltips.com
Trending 7 Best Game Development Software 2021
GDevelop is the best game making software for beginners & professionals. GDevelop provides you easy and simplistic interface, which most developers like in GDevelop.
Source: vilesolid.com

Social recommendations and mentions

Based on our record, GDevelop seems to be a lot more popular than TensorFlow. While we know about 78 links to GDevelop, we've tracked only 7 mentions of TensorFlow. 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.

TensorFlow mentions (7)

  • Creating Image Frames from Videos for Deep Learning Models
    Converting the images to a tensor: Deep learning models work with tensors, so the images should be converted to tensors. This can be done using the to_tensor function from the PyTorch library or convert_to_tensor from the Tensorflow library. - Source: dev.to / over 2 years ago
  • Need help with a Tensorflow function
    So I went to tensorflow.org to find some function that can generate a CSR representation of a matrix, and I found this function https://www.tensorflow.org/api_docs/python/tf/raw_ops/DenseToCSRSparseMatrix. Source: almost 3 years ago
  • Help: Slow performance with windows 10 compared to Ubuntu 20.04 with TF2.7
    Can anyone offer up an explanation for why there is a performance difference, and if possible, what could be done to fix it. I'm using the installation guidelines found on tensorflow.org and installing tf2.7 through pip using an anaconda3 env. Source: almost 3 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I don't have much experience with TensorFlow, but I'd recommend starting with TensorFlow.org. Source: about 3 years ago
  • [Question] What are the best tutorials and resources for implementing NLP techniques on TensorFlow?
    I have looked at this TensorFlow website and TensorFlow.org and some of the examples are written by others, and it seems that I am stuck in RNNs. What is the best way to install TensorFlow, to follow the documentation and learn the methods in RNNs in Python? Is there a good tutorial/resource? Source: about 3 years ago
View more

GDevelop mentions (78)

  • No-Code Game Development: Using AI to Build Your First Game
    GDevelop combines open-source flexibility with powerful no-code features. Their recent AI plugins provide remarkable capabilities:. - Source: dev.to / 7 days ago
  • Ask HN: Platform for 11 year old to create video games?
    Humble Bundle has a Godot bundle is available for the next day or so. That might be a good one to look at if you're ok with leaning into code a bit (gdscript is very very similar to python). https://www.humblebundle.com/software/learn-godot-43-complete-course-bundle-software Also check out the RPG Maker bundle. That's pretty point-and-click. You can have something basic up and running in a couple minutes... - Source: Hacker News / 8 months ago
  • Exploring Raylib and Open Source
    I selected this library as I normally use much higher-level tools to develop games such as p5.js, or GDevelop. Both these tools are amazing in their own right; however, I want to learn how these processes operate on a much lower level. These tools take care of a lot of issues for you ranging from asset to memory management. Raylib is still cross-platform but does not handle these tasks for the programmer which I... - Source: dev.to / 8 months ago
  • Unity’s New Pricing: A Wake-Up Call on the Importance of Open Source in Gaming
    It's not as monolithic as you'd think. There are lots of engines out there but their communities aren't very vocal compared to Unity, Unreal, and especially Godot's community. Take a look at: https://itch.io/game-development/engines/most-projects And https://www.gamedeveloper.com/blogs/the-generous-space-of-alternative-game-engines-a-curation- If you look at both of these you'll see just how many engines there are... - Source: Hacker News / over 1 year ago
  • Ask HN: Favorite Game Engine?
    I'm not really a game maker, but would like to give a shout out to the fabulous https://gdevelop.io/ It has everything you need, is free and its VISUAL PROGRAMMING is fab... - Source: Hacker News / over 1 year ago
View more

What are some alternatives?

When comparing TensorFlow and GDevelop, you can also consider the following products

PyTorch - Open source deep learning platform that provides a seamless path from research prototyping to...

Godot Engine - Feature-packed 2D and 3D open source game engine.

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

Unity - The multiplatform game creation tools for everyone.

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

Unreal Engine - Unreal Engine 4 is a suite of integrated tools for game developers to design and build games, simulations, and visualizations.

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