Comgra: A library for debugging and understanding neural networks
I'm a machine learning engineer and researcher. I got fed up with how difficult it is to understand why neural networks behave the way they do, so i wrote a library to help with it. Comgra (computation graph analysis) is a library you can use with pytorch to extract all the tensor data you care about and visualize it graphically in a browser. This allows for a much more detailed analysis of what is happening than the usual approach of using tensorboard. You can go investigate tensors as training proceeds, drill down into individual neurons, inspect single data sets that are of special…
Comgra: A library for debugging and understanding neural networks launched on September 4, 2023 with 66 votes, #1,264 of 4,228 launches that month and more than 90% of that year's launches. The site was still online in September 2026, 3 years on.
In plain words
Comgra is a Python library for PyTorch that helps machine learning engineers and researchers understand neural network behavior by extracting tensor data and visualizing it in a browser-based interface. It allows users to inspect individual neurons, track gradients, compare training runs, and drill down into specific datasets during training—offering more detailed analysis than standard tools like TensorBoard. The library is designed to speed up hypothesis testing and reveal how different network components interact.
written from the facts on this page · September 2026
From the sources
A tool to analyze and debug neural networks in pytorch. Use a GUI to traverse the computation graph and view the data from many different angles at the click of a button. - FlorianDietz/comgra
In the maker’s words, at launch
I'm a machine learning engineer and researcher. I got fed up with how difficult it is to understand why neural networks behave the way they do, so i wrote a library to help with it. Comgra (computation graph analysis) is a library you can use with pytorch to extract all the tensor data you care about and visualize it…
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Source: Show HN post ↗ · launch text quoted in part
