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Miller is like awk, sed, cut, join, and sort for name-indexed data such as CSV, TSV, and tabular JSON
Statistical data visualization in Python
Bayesian Modeling and Probabilistic Programming in Python
A light-weight, flexible, and expressive statistical data testing library
Statsmodels: statistical modeling and econometrics in Python
Lightning ⚡️ fast forecasting with statistical and econometric models.
A simple & straight-to-the-point PHP profiling extension with its built-in web UI
[PVLDB 2024 Best Paper Nomination] TFB: Towards Comprehensive and Fair Benchmarking of Time Series Forecasting Methods
A statistical library designed to fill the void in Python's time series analysis capabilities, including the equivalent of R's auto.arima function.
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
A comprehensive library for machine learning and numerical computing. Apply Machine Learning with Rust leveraging first principles.
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Platform for building statistical models of cities and regions
Calculator that computes statistical power, MDE and required sample size for switchback experiments; based on paper Pankratev (2026) 'Powerful Switchback Experiments -- Or Not?'.
Statistical Machine Intelligence & Learning Engine
Edit Banana: A framework for converting statistical formats into editable.
Probabilistic reasoning and statistical analysis in TensorFlow
C++ DataFrame for statistical, financial, and ML analysis in modern C++
The Elements of Statistical Learning (ESL)的中文翻译、代码实现及其习题解答。
:bar_chart: The statistical analysis tool for git repositories
Enhancing {ggplot2} plots with statistical analysis 📊📣
Inspects Python source files and provides information about type and location of classes, methods etc
Statistical package in Python based on Pandas
Multi-class confusion matrix library in Python
brms R package for Bayesian generalized multivariate non-linear multilevel models using Stan
Owl - OCaml Scientific Computing @ https://ocaml.xyz
Cool extensions for Openlayers (ol) - animated clusters, CSS popup, Font Awesome symbol renderer, charts for statistical map (pie/bar), layer switcher, wikipedia layer, animations, canvas filters.
BAyesian Model-Building Interface (Bambi) in Python.
an extensive Qt5 & Qt6 Plotter framework (including a feature-richt plotter widget, a speed-optimized, but limited variant and a LaTeX equation renderer!), written fully in C/C++ and without external dependencies
Time Series Feature Extraction Library (TSFEL): 60+ statistical, temporal, spectral and fractal features for time series classification, regression and signal processing in Python
The statistical language R compiled to WebAssembly via Emscripten, for use in web browsers and Node.
Additional linear models including instrumental variable and panel data models that are missing from statsmodels.
JASP aims to be a complete statistical package for both Bayesian and Frequentist statistical methods, that is easy to use and familiar to users of SPSS
Describing statistical models in Python using symbolic formulas
Solve and estimate Dynamic Stochastic General Equilibrium models (including the New York Fed DSGE)
Scientific and statistical computing in JavaScript.
DIPY is the paragon 3D/4D+ medical imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
Statistical computation library for Rust
Gramm is a complete data visualization toolbox for Matlab. It provides an easy to use and high-level interface to produce publication-quality plots of complex data with varied statistical visualizations. Gramm is inspired by R's ggplot2 library.
Statistical Inference via Data Science: A ModernDive into R and the Tidyverse
GSTools - A geostatistical toolbox: random fields, variogram estimation, covariance models, kriging and much more
R package to compute and plot predictions, slopes, marginal means, and comparisons (contrasts, risk ratios, odds, etc.) for over 100 classes of statistical and ML models. Conduct linear and non-linear hypothesis tests, or equivalence tests. Calculate uncertainty estimates using the delta method, bootstrapping, or simulation-based inference
simple and scalable statistical modelling in R
An extensible framework for geospatial data science and geostatistical modeling fully written in Julia
A SDK/library for decentralized web and distributing computing projects
an R package for structural equation modeling and more
An open-source Python library for poker game simulations, hand evaluations, and statistical analysis
Differential analysis tool for coding-free researchers – instant statistical results and charts, ready for your lab meeting. Just unzip and run! No-coding!
Open-source research tool for inspecting, benchmarking, and scrubbing AI document metadata and invisible tracking artifacts.
[EMNLP main 2026] Provenance Before Prose: Claim-Locked Reporting for Statistical Text Generation
Tools Are Not Islands: Set-Level Tool Retrieval for LLM Agents via Query-Conditioned Hyperedge Prediction
Algorithmic Lottozahlen Vorhersage Engine & Statistical Analysis Toolkit for German LOTTO 6aus49 & EuroJackpot (Jackapp PRO).
Minitab 2026 Statistical Analysis Professional Suite - Practical Windows release with complete modules and an easy first launch.
IBM SPSS Statistics Pro for Windows — the complete professional build with every module enabled: statistical modeling, econometrics, and data analysis, no edition limits after install.
Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more