ONNX-Scala provides an API and backend for deep and classical machine learning in Scala.
The Best Netron Alternatives in 2026
Looking for something like Netron? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 23 are open source.
Netron displays neural network, deep learning, and machine learning models across formats such as ONNX, TensorFlow, and PyTorch.
Top picks at a glance
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | ONNX-Scala | — | Yes | — |
| 2 | Netron | — | Not stated | Web |
| 3 | Whylogs | — | Yes | — |
| 4 | crystal-fann | — | Yes | — |
| 5 | Fastai | — | Yes | — |
| 6 | Kinho | — | Yes | — |
| 7 | Pattern Recognition Toolbox | — | Yes | — |
| 8 | Neuraxle | — | Yes | — |
| 9 | Opyrator | — | Yes | — |
| 10 | anneal | — | Yes | — |
All Netron alternatives
Netron
netron.appVisualizer for neural network, deep learning and machine learning models.
Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
crystal-fann provides Crystal language bindings for the FANN artificial neural network library.
The fastai deep learning library includes documentation and setup guidance, including instructions for use with Google Colab.
Kinho’s Neural repository provides an API for deep learning and feedforward neural network models.
The Pattern Recognition Toolbox provides MATLAB tools for pattern recognition and machine learning.
Automatic machine learning, hyperparameter tuning, and pipeline abstractions are provided by the Neuraxle software library.
Opyrator turns machine learning code into microservices with a web API and interactive interface.
The anneal project is a Go machine learning compiler with graph rewriting, autodiff, and a WebGPU backend.
Sparkling Water brings H2O machine learning functionality into an Apache Spark cluster.
For Go developers, GoLearn provides a collection of tools for machine learning.
Class-imbalanced machine learning is supported by imbalanced-ensemble, a toolbox for ensemble methods and datasets.
torchaudio provides data manipulation and transformation tools for audio signal processing with PyTorch.
Mars provides tensor-based tools for large-scale computation with NumPy, Pandas, and scikit-learn.
This Node.js library implements Latent Dirichlet Allocation topic modeling in JavaScript.
Prediction with gradient boosting regression tree models is implemented in leaves, a Go software library.
Weights & Biases supports model training, fine tuning, and management from experimentation through production.
Python developers can use Zipline’s event-driven library to backtest algorithmic trading strategies.
Segment Chinese text in PHP applications with jieba-php, a library for Chinese word tokenization.
Browse large JSONL, Parquet, and CSV datasets in VS Code with the Bread Dataset Viewer extension.
The Geni project provides a Clojure dataframe library that runs on Apache Spark.
jSciPy provides Java scientific computing tools for signal processing, FFT, filtering, power spectral density, and DCT.
Tesseract provides an open-source OCR engine for extracting text from images, with its main repository hosted on GitHub.
Alternatives to similar tools
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