Statsmodels
statsmodels.org/stable/index.htmlStatsmodels provides Python tools for inferential statistics, hypothesis testing, and regression.
Looking for something like simple-statistics? Here are 24 alternatives, ranked by how closely they match it on purpose, features and platforms. Of these, 23 are open source.
simple-statistics implements descriptive, regression, and inferential statistics in JavaScript.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Statsmodels | — | Not stated | Web |
| 2 | LDA.js | — | Yes | — |
| 3 | GitHub Readme Stats | — | Yes | — |
| 4 | DataComPy | — | Yes | — |
| 5 | leaves | — | Yes | — |
| 6 | liblinear-java | — | Yes | — |
| 7 | MOCluGen | — | Yes | — |
| 8 | Koalas | — | Yes | — |
| 9 | punkpeye/awesome-mcp-servers | — | Yes | — |
| 10 | CluGen | — | Yes | — |
Statsmodels provides Python tools for inferential statistics, hypothesis testing, and regression.
This Node.js library implements Latent Dirichlet Allocation topic modeling in JavaScript.
GitHub Readme Stats generates statistics cards for use in GitHub README files.
DataComPy compares Pandas, Polars, Spark, and Snowpark dataframes, with output that includes comparison statistics.
Prediction with gradient boosting regression tree models is implemented in leaves, a Go software library.
liblinear-java provides a Java version of LIBLINEAR for linear classification and regression models.
MOCluGen implements multidimensional cluster generation for MATLAB and Octave.
Koalas implements the pandas DataFrame API on Apache Spark and is deprecated; for Apache Spark 3.2 and above, use PySpark directly.
A curated collection of servers implementing the Model Context Protocol.
CluGen implements an algorithm for generating multidimensional clusters in Julia.
pyclugen implements the multidimensional cluster generation algorithm in Python.
HypothesisTests.jl is a Julia package that implements statistical hypothesis tests.
Brain.js provides GPU-accelerated neural networks in JavaScript for browsers and Node.js.
Python developers can use Dash to build data apps and dashboards without requiring JavaScript.
compromise provides natural language processing tools for JavaScript applications.
Awesome CLI provides a command-line tool for browsing and exploring Awesome lists.
Kinho’s Neural repository provides an API for deep learning and feedforward neural network models.
libfolia provides a C++ library for processing data in the FoLiA format.
Algebird provides abstract algebra tools for Scala, including components for building aggregations.
Sparkling Water brings H2O machine learning functionality into an Apache Spark cluster.
Tablecloth provides a dataset manipulation API for the tech.ml.dataset library.
This repository provides guidance and resources for creating a GitHub profile README.
API references for developers can be browsed in DevDocs, a documentation browser.
Jupytext lets users represent Jupyter notebooks as Markdown documents or Julia, Python, and R scripts.
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