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@@ -1681,6 +1681,7 @@ _Libraries for Machine Learning._
 - [born](https://github.com/born-ml/born) - Deep learning framework inspired by Burn (Rust), with autograd, type-safe tensors, and zero-CGO GPU acceleration.
 - [catboost-cgo](https://github.com/mirecl/catboost-cgo) - Fast, scalable, high performance Gradient Boosting on Decision Trees library. Golang using Cgo for blazing fast inference CatBoost Model.
 - [CloudForest](https://github.com/ryanbressler/CloudForest) - Fast, flexible, multi-threaded ensembles of decision trees for machine learning in pure Go.
+- [datatrax](https://github.com/rbmuller/datatrax) - Data engineering and classic ML toolkit with batch processing, type coercion, and 7 algorithms in pure Go with zero dependencies.
 - [ddt](https://github.com/sgrodriguez/ddt) - Dynamic decision tree, create trees defining customizable rules.
 - [eaopt](https://github.com/MaxHalford/eaopt) - An evolutionary optimization library.
 - [evoli](https://github.com/khezen/evoli) - Genetic Algorithm and Particle Swarm Optimization library.