The Best ONNX-Scala Alternatives in 2026

The fastai deep learning library includes documentation and setup guidance, including instructions for use with Google Colab.

Netron displays neural network, deep learning, and machine learning models across formats such as ONNX, TensorFlow, and PyTorch.

Tesseract provides an open-source OCR engine for extracting text from images, with its main repository hosted on GitHub.

The anneal project is a Go machine learning compiler with graph rewriting, autodiff, and a WebGPU backend.

Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.

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.

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.

Mars provides tensor-based tools for large-scale computation with NumPy, Pandas, and scikit-learn.

Visualizer for neural network, deep learning and machine learning models.

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.

This Node.js library implements Latent Dirichlet Allocation topic modeling in JavaScript.

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.

Prediction with gradient boosting regression tree models is implemented in leaves, a Go software library.

crystal-fann provides Crystal language bindings for the FANN artificial neural network library.

torchaudio provides data manipulation and transformation tools for audio signal processing with PyTorch.

Weights & Biases supports model training, fine tuning, and management from experimentation through production.

MOCluGen implements multidimensional cluster generation for MATLAB and Octave.