How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.
DataFrames for Go: For statistics, machine-learning, and data manipulation/exploration
The main features of rocketlaunchr/dataframe-go are: Data Analysis, Data Science and Analytics, Scientific Computing, Data Structures.
Projects with overlapping indexed features include: gonum/gonum — Gonum is a numerical computing library for the Go programming language, providing a collection of packages for… davidbelicza/textrank — :wink: :cyclone: :strawberry: TextRank implementation in Golang with extendable features (summarization, phrase… alixaxel/pagerank — Weighted PageRank implementation in Go. claygod/pihex — PiHex Library, written in Go, generates a hexadecimal number sequence in the number Pi in the range from 0 to… cpmech/gosl — Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D… gonum/plot — A repository for plotting and visualizing data.
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
Linear algebra, eigenvalues, FFT, Bessel, elliptic, orthogonal polys, geometry, NURBS, numerical quadrature, 3D transfinite interpolation, random numbers, Mersenne twister, probability distributions, optimisation, differential equations.
PiHex Library, written in Go, generates a hexadecimal number sequence in the number Pi in the range from 0 to 10,000,000.
