19 Questions assigns attributes to objects using machine learning and Bayesian inference, according to its project description.
The Best Distributions Alternatives in 2026
Looking for something like Distributions? Here are 23 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 17 are open source.
A Julia package for probability distributions and associated functions.
Top picks at a glance
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | 19 Questions | — | Yes | — |
| 2 | Intel® oneAPI Data Analytics Library | — | Yes | — |
| 3 | Pycaret | — | Not stated | — |
| 4 | mljar-supervised | — | Yes | — |
| 5 | Featuretools | — | Yes | — |
| 6 | TSFresh | — | Yes | — |
| 7 | Snorkel | — | Yes | — |
| 8 | Pandas Profiling | — | Yes | — |
| 9 | Feature Engine | — | Yes | — |
| 10 | DVC | — | Yes | — |
All Distributions alternatives
oneDAL is a C++ and DPC++ library for accelerated machine learning routines on tabular data, governed by the UXL Foundation.
Pycaret
github.com/pycaret/pycaretPyCaret provides a low code AutoML platform for Python, with a scikit-learn native engine and React control plane.
mljar-supervised provides tabular data AutoML with feature engineering, hyperparameter tuning, explanations, and documentation.
The Featuretools Python library supports automated feature engineering and is published as open source.
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.
Feature Engine provides Python tools for feature engineering and selection that are compatible with scikit-learn.
DVC tracks data versions and machine learning experiments for collaborative development.
Python library for decision tree visualization and model interpretation.
Optimus supports agile data preparation workflows across Pandas, Dask, cuDF, Vaex, and PySpark.
An AI-first alternative to Jupyter, Deepnote supports Python, R, and SQL, with local IDE use, cloud collaboration, and data apps.
BambooAI analyzes data with a language model in a persistent Python kernel and supports web and Docker workflows.
Modin scales Pandas data workflows by changing a single line of code in a project.
Lance provides an open lakehouse format for multimodal AI, with vector indexing and data versioning.
Cleanlab provides a Python library for data quality and machine learning with messy real world data and labels.
Desbordante profiles data to find patterns and supports data-cleaning scenarios through console and web application interfaces.
Data Science Degree @ Berkeley
ischoolonline.berkeley.edu/data-scienceEarn your Master of Information and Data Science online from UC Berkeley in 2026. Master complex data and become a tech industry leader.
DrivenData
drivendata.orgDrivenData hosts data science competitions where participants build predictive models for organizations addressing social challenges.
Data Science Journal
jstage.jst.go.jp/browse/dsjAccess full-text academic articles: J-STAGE is an online platform for Japanese academic journals.
Sourcetable
sourcetable.comSourcetable combines spreadsheets and data analysis tools for creating financial models and working with datasets.
KNIME
knime.comKNIME provides data analysis tools and a visual workflow builder for data science solutions.
Alternatives to similar tools
What is the best alternative to Distributions?
Are there open-source alternatives to Distributions?
Alternatives are suggested from the purpose and features described in our listings. Different pages for the same product appear once. Read each description to check whether it fits your task. How we choose alternatives · Suggest an alternative






















