For Python data preparation, DataPrep offers an open-source low-code library to collect, clean, and visualize data.
The Best statsmodels Alternatives in 2026
Looking for something like statsmodels? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 1 are free or have a free plan and 19 are open source.
statsmodels provides statistical modeling and econometrics tools in Python.
Top picks at a glance
Quick comparison
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | DataPrep | — | Yes | — |
| 2 | mlxtend | — | Not stated | — |
| 3 | Piperider | — | Yes | — |
| 4 | emcee | — | Yes | — |
| 5 | Whylogs | — | Yes | — |
| 6 | Weights & Biases | — | Yes | — |
| 7 | Dash | — | Yes | — |
| 8 | Stan | — | Not stated | Web |
| 9 | AWS Data Wrangler | — | Yes | — |
| 10 | Streamlit | Free | Yes | — |
All statsmodels alternatives
mlxtend
github.com/rasbt/mlxtendmlxtend adds helper modules for Python data analysis and machine learning libraries.
PipeRider provided code review tools for dbt data and has been superseded by Recce.
emcee provides a Python toolkit for affine-invariant Markov chain Monte Carlo sampling.
Machine learning pipelines can use whylogs, an open-source library for logging data quality and model performance.
Weights & Biases supports model training, fine tuning, and management from experimentation through production.
Python developers can use Dash to build data apps and dashboards without requiring JavaScript.
Stan
mc-stan.orgStan provides software for Bayesian data analysis, including tools for sophisticated statistical modeling.
AWS Data Wrangler connects Pandas with AWS data services and databases, including Athena, Glue, Redshift, and S3.
Python developers can use Streamlit to build and share data applications.
DataComPy compares Pandas, Polars, Spark, and Snowpark dataframes, with output that includes comparison statistics.
Koalas implements the pandas DataFrame API on Apache Spark and is deprecated; for Apache Spark 3.2 and above, use PySpark directly.
The Geni project provides a Clojure dataframe library that runs on Apache Spark.
jSciPy provides Java scientific computing tools for signal processing, FFT, filtering, power spectral density, and DCT.
Class-imbalanced machine learning is supported by imbalanced-ensemble, a toolbox for ensemble methods and datasets.
PyCM provides a Python library for working with multiclass confusion matrices.
A gallery of interesting IPython notebooks
github.com/jupyter/jupyter/wiki/A-gallery-of-i…Open sourceBrowse a gallery of interesting Jupyter notebooks on this project wiki, with examples from notebook users.
Python developers can use gensim for topic modeling and related natural language processing tasks.
Apache Hamilton helps teams build modular, testable dataflows with lineage and metadata.
Incanter
incanter.orgIncanter provides statistical computing and graphics tools for Clojure.
Exploratory data analysis in Python is the focus of Dora, a library with functions for cleaning, feature selection, visualization, and validation.
astroML
astroml.orgAstroML provides Python tools for machine learning and data mining in astronomy.
GLM
github.com/JuliaStats/GLM.jlGLM.jl provides generalized linear models in Julia, with documentation and examples for the package.
SynapseML provides distributed machine learning algorithms for Spark through its Python library.
Alternatives to similar tools
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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























