Fast, continuous interpolation of discrete datasets in Julia
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Updated
Oct 5, 2026 - Julia
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
Fast N-dimensional interpolation package for Julia
Tools for working with Fourier space.
Sparse Grid Discretization with the Discontinuous Galerkin Method for solving PDEs
Natural neighbour interpolation methods for scattered data interpolation and derivative generation of planar point sets.
Basic (+chebyshev) interpolation recipes in Julia
Interpolation of arbitrarily high dimensional array data
Easily smooth your data in Julia
Multivariate (generalized) scattered data interpolation with symmetric (conditionally) positive definite kernel functions in arbitrary dimension
Kriging estimators for the GeoStats.jl framework
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
Pure Julia implementation of 1D & 2D cubic Hermite spline interpolation.
📏 Monotonic cubic interpolation 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.
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