#statistics

Rust numeric library with high performance and friendly syntax

1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

Rust Scientific Library. ODE, DAE, and PDE solvers. Special functions (Bessel, Elliptic, Beta, Gamma, Erf). Linear algebra. Sparse solvers. Probability distributions. Tensor calculus. Numerical continuation.

Deep universal probabilistic programming with Python and PyTorch

High-performance quantitative finance in Rust — 120+ stochastic processes, option pricing, calibration, fixed income, risk & copulas, with SIMD/GPU acceleration and Python bindings.

Probabilistic reasoning and statistical analysis in TensorFlow

PHP package that provides functions for calculating mathematical statistics of numeric data.

View model summaries in PyTorch!

SciRS2 - Scientific Computing and AI in Rust., providing SciPy-compatible APIs while leveraging Rust's performance, safety, and concurrency features. Unlike traditional scientific libraries

SDMX information model and client in Python

Statistical package in Python based on Pandas

Excelize is a C# port of Go Excelize library that allow you to write to and read from XLAM / XLSM / XLSX / XLTM / XLTX files.

A well tested and comprehensive Golang statistics library package with no dependencies.

Repository that is deployed for the OpenWeightlifting site

Regression analysis in Rust.

Ruby gem for some statistical operations without any statistical language dependency

Timeseries forecasting in Rust

📈 Get insights about your Laravel or Lumen Project

Survival analysis in Python

Dolby.io WebRTC statistics parser

Easy and extensible benchmarking in Elixir providing you with lots of statistics!

Code statistics/annotations helpers

Official Laravel Client for SimpleStats