Looking for something like MultivariateStats? 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 13 are open source.
MultivariateStats.jl provides Julia tools for multivariate statistics and data analysis, including dimension reduction.
| # | Alternative | Pricing | Open source | Platforms |
|---|---|---|---|---|
| 1 | Dora | — | Yes | — |
| 2 | mlxtend | — | Not stated | — |
| 3 | Stan | — | Not stated | Web |
| 4 | Piperider | — | Yes | — |
| 5 | DataPrep | — | Yes | — |
| 6 | astroML | — | Not stated | Web |
| 7 | Pandas | — | Not stated | Web |
| 8 | ImHex | — | Not stated | Web |
| 9 | emcee | — | Yes | — |
| 10 | BambooLib | — | Not stated | — |
Exploratory data analysis in Python is the focus of Dora, a library with functions for cleaning, feature selection, visualization, and validation.
mlxtend adds helper modules for Python data analysis and machine learning libraries.
Stan provides software for Bayesian data analysis, including tools for sophisticated statistical modeling.
PipeRider provided code review tools for dbt data and has been superseded by Recce.
For Python data preparation, DataPrep offers an open-source low-code library to collect, clean, and visualize data.
AstroML provides Python tools for machine learning and data mining in astronomy.
The pandas project provides open-source Python tools for analyzing and manipulating data.
Analyze binary data and use pattern language or disassembly in ImHex, an open-source hex editor for reverse engineers and developers.
emcee provides a Python toolkit for affine-invariant Markov chain Monte Carlo sampling.
bamboolib provides a graphical interface for working with Pandas DataFrames.
statsmodels provides statistical modeling and econometrics tools in Python.
Browse a gallery of interesting Jupyter notebooks on this project wiki, with examples from notebook users.
Incanter provides statistical computing and graphics tools for Clojure.
Python developers can use Streamlit to build and share data applications.
DataDeps.jl provides reproducible data setup for scientific work, with a Julia package for fetching and using data dependencies.
TextAnalysis.jl is a Julia package for text and language data, with tools such as corpora, TF-IDF, and topic models.
DataFrames.jl provides in-memory tabular data structures and tools for working with data in Julia.
ReadStat.jl is a Julia package that parses data files from Stata, SAS, and SPSS into a ReadStatDataFrame.
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.
simple-statistics implements descriptive, regression, and inferential statistics in JavaScript.
DummyImage generates placeholder images with customizable dimensions and foreground and background colors.
Apache Hamilton helps teams build modular, testable dataflows with lineage and metadata.
PyCM provides a Python library for working with multiclass confusion matrices.
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
