Best Swift Brain Alternatives & Competitors in 2025

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

Key Keras features:

User-Friendly Modularity Pre-trained Models Integration with TensorFlow

Open Source

Machine Learning

Key Microsoft Cognitive Toolkit (Formerly CNTK) features:

Efficiency Scalability Flexibility Seamless Integration

DeepPy is a MIT licensed deep learning framework that tries to add a touch of zen to deep learning as it allows for Pythonic programming.

Key DeepPy features:

Ease of Use Python Integration Lightweight

The World's AI

Key Clarifai features:

API Artificial Intelligence Workflow Management Workflow Automation

freemium

TFlearn is a modular and transparent deep learning library built on top of Tensorflow.

Key TFlearn features:

User-Friendly Interface Modular Design Integration with TensorFlow Pre-built Models

Open Source

Knet is a deep learning framework that supports GPU operation and automatic differentiation using dynamic computational graphs for models.

Key Knet features:

Efficiency Flexibility Julia Integration Community and Support

Merlin is a deep learning framework written in Julia, it aims to provide a fast, flexible and compact deep learning library for machine learning.

Key Merlin features:

Julia Language Integration Composable Machine Learning Models Interoperability Community Support

Artificial intelligence and machine learning library written in Swift.

Key Swift AI features:

Native Swift Integration Open Source Performance Optimizations Community Support

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Key SHARK features:

Versatility Modular Design Performance Open Source

BrainCore is a simple but fast neural network framework written in Swift.

Open Source

Darknet is an open source neural network framework written in C and CUDA.

Key Darknet features:

Open Source Ease of Use Good Performance YOLO Integration

Open Source

Neurolab is a simple and powerful Neural Network Library for Python that contains based neural networks, train algorithms and flexible framework to create and explore other neural network types.

Key Neurolab features:

Modular Design Ease of Use Comprehensive Documentation Lightweight

MLKit is a simple machine learning framework written in Swift.

Key MLKit features:

Feature-Rich Ease of Integration Regular Updates Open-Source

Open Source