Projects sharing features with Jgrapht

Biopython is a bioinformatics library for Python providing tools to parse, manipulate, and analyze biological sequences, molecular structures, and phylogenetic trees. It serves as a biological sequence parser for genomic and proteomic data across multiple industry-standard file formats and acts as an interface for querying biological data and citations from NCBI Entrez repositories. The project distinguishes itself through specialized toolkits for protein structure analysis and phylogenetic tree construction. It includes a protein structure analyzer for processing PDB and mmCIF files to calcu

bioruby

Parsers and algorithms for computational chemistry logfiles

Colour Science for Python

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

C++ library for solving large sparse linear systems with algebraic multigrid method

dstats

Scientific library for the D programming language

Modular and modern graph-theory algorithms framework in Java

Practical volume computation and sampling in high dimensions

Gonum is a numerical computing library for the Go programming language, providing a collection of packages for scientific computing, linear algebra, statistics, and optimization. It functions as a framework for performing complex numerical computations and solving systems of linear equations. The project includes a dedicated graph analysis framework for modeling network graphs and solving connectivity and pathfinding problems. It also provides a statistical analysis toolkit for computing descriptive and inferential statistics and estimating mixture entropy. The library's capability surface c

A repository for plotting and visualizing data

A scientific charting library focused on performance optimised real-time data visualisation at 25 Hz update rates for data sets with a few 10 thousand up to 5 million data points.

Java Scientific Computing Library - Signal Processing, FFT, Filters, PSD, DCT, SciPy-like APIs for JVM & Android used in Machine Learning and Data Science.

BloomFilter(s) in Ruby: Native counting filter Redis counting/non-counting filters

ID3-based implementation of the ML Decision Tree algorithm

A general classifier module to allow Bayesian and other types of classifications. A fork of cardmagic/classifier.

A 3D chart library for Java applications (JavaFX, Swing or server-side).

JGraphX

Tablesaw is a Java dataframe library designed for manipulating, filtering, and aggregating structured data. It serves as a toolkit for statistical analysis, data visualization, and machine learning execution within the Java Virtual Machine. The project provides specialized tools for computing descriptive statistics and generating cross-tabulations. It includes a visualization library for creating histograms and scatter plots, as well as a framework for executing linear regression, clustering, and classification tasks through integration with statistical libraries. The library covers a broad

primes-utils rubygem

roots gem