The Best rapaio Alternatives in 2026

Orange Data Mining provides open-source machine learning and data visualization tools.

The LightGBM framework uses gradient boosting for ranking, classification, and other machine learning tasks.

nilearn provides Python tools for machine learning and neuroimaging analysis.

oneDAL is a C++ and DPC++ library for accelerated machine learning routines on tabular data, governed by the UXL Foundation.

DVC tracks data versions and machine learning experiments for collaborative development.

Cleanlab provides a Python library for data quality and machine learning with messy real world data and labels.

REP provides an IPython-based machine learning environment for consistent, reproducible data-driven research.

19 Questions assigns attributes to objects using machine learning and Bayesian inference, according to its project description.

InterpretML fits interpretable models and explains results from black-box machine learning systems.

A Python package to assess and improve fairness of machine learning models.

Manifold provides visual debugging for machine learning models without depending on a specific model type.

DVCLive logs and tracks machine learning metrics, parameters, and models with Git or DVC.

This Swift library builds machine learning predictions using linear regression.

Python package which helps to debug machine learning classifiers and explain their predictions.

An open source Python library for drift detection in machine learning systems.

LIME provides explanations for predictions made by machine learning classifiers.

MCGrad calibrates machine learning predictions across the full dataset and across segments defined by input features.

PredictionBuilder builds machine learning predictions using linear regression.

Automated machine learning toolkit and a drop-in replacement for a scikit-learn estimator.

BigML provides a platform for creating machine learning models and working with data.

This project profiles data quality and supports exploratory analysis of Pandas and Spark DataFrames.

pytorch tabular provides a unified framework for deep learning models on tabular data.

PyCaret provides a low code AutoML platform for Python, with a scikit-learn native engine and React control plane.

Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.