TensorFlow VS Splashy

• 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

• 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.

• User-Friendly Interface
  Splashy offers an intuitive and easy-to-navigate interface, which makes it accessible for users of all skill levels to create and explore digital art.
• Vast Art Library
  Users have access to a large library of art styles and templates, providing them with inspiration and a variety of options to work with.
• Advanced Editing Tools
  The platform provides a range of advanced editing tools that allow users to customize and enhance their artwork, catering to both beginners and experienced artists.
• Community Engagement
  Splashy encourages community interaction through features that allow users to share their art, receive feedback, and collaborate with others.

Possible disadvantages

• Limited Free Features
  While Splashy offers a free version, many of the more sophisticated features are locked behind a paywall, which may limit the experience for users who do not wish to subscribe.
• Performance Issues
  Some users have reported lag and performance issues, particularly with larger projects or on older devices, which can hinder the creative process.
• Learning Curve
  Despite its user-friendly interface, there is still a learning curve for users who are not familiar with digital art tools, which may require time and effort to overcome.
• Subscription Costs
  The subscription model may be a disadvantage for users looking for a one-time purchase option, as continuous payments might not be feasible for everyone.

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

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Tracking Splashy since Mar 2021.