The Best Fastai Alternatives in 2026

ONNX-Scala provides an API and backend for deep and classical machine learning in Scala.

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

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

pytesseract is a Python wrapper for Google Tesseract that provides optical character recognition.

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

Automatic machine learning, hyperparameter tuning, and pipeline abstractions are provided by the Neuraxle software library.

The Pattern Recognition Toolbox provides MATLAB tools for pattern recognition and machine learning.

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.

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

Class-imbalanced machine learning is supported by imbalanced-ensemble, a toolbox for ensemble methods and datasets.

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.

The Geni project provides a Clojure dataframe library that runs on Apache Spark.

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.

Browse large JSONL, Parquet, and CSV datasets in VS Code with the Bread Dataset Viewer extension.

jSciPy provides Java scientific computing tools for signal processing, FFT, filtering, power spectral density, and DCT.

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.