The Best dtreeviz Alternatives in 2026

mljar-supervised provides tabular data AutoML with feature engineering, hyperparameter tuning, explanations, and documentation.

Little Ball of Fur provides graph sampling extensions for NetworKit and NetworkX.

The Featuretools Python library supports automated feature engineering and is published as open source.

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

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

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

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

tsfresh automatically extracts relevant features from time series data.

Snorkel helps generate training data programmatically through weak supervision.

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

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

Lance provides an open lakehouse format for multimodal AI, with vector indexing and data versioning.

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

Optimus supports agile data preparation workflows across Pandas, Dask, cuDF, Vaex, and PySpark.

DrivenData hosts data science competitions where participants build predictive models for organizations addressing social challenges.

BambooAI analyzes data with a language model in a persistent Python kernel and supports web and Docker workflows.

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

AutoViz automatically creates visualizations for datasets of different sizes from a single line of code.

PySS3 supports interpretable text classification with SS3 and visualization tools for explainable AI.

Modin scales Pandas data workflows by changing a single line of code in a project.

Desbordante profiles data to find patterns and supports data-cleaning scenarios through console and web application interfaces.

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

The lightly Python library supports self supervised learning on images.

nilearn provides Python tools for machine learning and neuroimaging analysis.