pastalog
A simple, realtime visualization server for monitoring neural network training performance across frameworks.
What is pastalog?
Pastalog is a real-time visualization server designed to monitor the training performance of neural networks. It allows developers and researchers to track metrics like loss and accuracy across multiple models as they train, providing immediate visual feedback without interrupting the training process. The tool is framework-agnostic, working with popular libraries like TensorFlow, PyTorch, Keras, and more via a simple API.
Machine learning researchers and developers who need to monitor and compare training metrics across multiple neural network models in real-time, especially those working with frameworks like TensorFlow, PyTorch, or Keras.
Pastalog offers a dead-simple, self-hosted solution for real-time training visualization that works with any deep learning framework. Unlike heavier alternatives, it requires minimal setup, provides an intuitive web interface, and enables direct comparison of models without complex integrations.
Overview
Simple, realtime visualization of neural network training performance.
Use Cases
Best For
- Comparing multiple neural network architectures during training
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