Open-source alternatives to Dataframe Go

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

Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.

A repository for plotting and visualizing data

tools for working with streams of data

This repository serves as an educational collection of interactive notebooks and code examples designed to demonstrate fundamental machine learning and deep learning concepts. It provides a structured environment for exploring data science workflows, ranging from basic numerical computing and statistical analysis to the construction of complex neural network architectures. The project distinguishes itself through a focus on hands-on experimentation, offering practical implementations for tasks such as computer vision, natural language processing, and statistical simulation. Users can engage w

aws-sdk-pandas is a Python library that integrates pandas dataframes with AWS services, acting as a cloud data ETL tool and data lake connector. It provides a unified interface to move and transform data between in-memory dataframes and cloud storage, databases, and data warehouses. The project distinguishes itself as a distributed compute orchestrator capable of submitting pandas-based workloads to EMR clusters and serverless processing environments. It further specializes in coordinating distributed data processing via Ray cluster initialization to handle datasets that exceed the memory of

Python dictionaries with advanced dot notation access

ConcurrentQueue is a header-only C++ template library that provides a lock-free data structure for multi-producer multi-consumer thread communication. It functions as a synchronization primitive designed to coordinate data flow between concurrent execution units using atomic operations rather than traditional mutex locking. The library distinguishes itself through a design that minimizes contention and synchronization overhead. It utilizes sub-queue token mapping to distribute workloads across partitioned internal queues and supports bulk operations to transfer multiple data elements in singl

ParaMonte: Parallel Monte Carlo and Machine Learning Library for Python, MATLAB, Fortran, C++, C.

A C++14-compatible physical units library with no dependencies and a single-file delivery option. Emphasis on safety, accessibility, performance, and developer experience.