Fast, continuous interpolation of discrete datasets in Julia

DIVAnd performs an n-dimensional variational analysis of arbitrarily located observations

Julia library for the string interpolation of HTML and SVG

A collection of B-spline tools in Julia

Tools for working with Fourier space.

Sparse Grid Discretization with the Discontinuous Galerkin Method for solving PDEs

Basic (+chebyshev) interpolation recipes in Julia

Natural neighbour interpolation methods for scattered data interpolation and derivative generation of planar point sets.

Easily smooth your data in Julia

Interpolation of scattered data

Interpolation of arbitrarily high dimensional array data

Kriging estimators for the GeoStats.jl framework

Multivariate (generalized) scattered data interpolation with symmetric (conditionally) positive definite kernel functions in arbitrary dimension

FEMBasis contains interpolation routines for finite element function spaces. Given ansatz and coordinates of domain, shape functions are calculated symbolically in a very general way to get efficient code. Shape functions can also be given directly and in that case partial derivatives are calculated automatically.

Centripetal Catmull-Rom curves for interpoint traversal

📏 Monotonic cubic interpolation in Julia

Pure Julia implementation of 1D & 2D cubic Hermite spline interpolation.

Multivariate Normal Hermite-Birkhoff Interpolating Splines in Julia

A package to create and load tabulations of functions. Supports Unitful.

Python-like f-string formatting for Julia with zero runtime overhead and Printf.jl backend.