Scientific Computing Tools for Finite Element Methods

This package contains a collection of tools for scientific computing with a focus on finite element methods. The tools are written in Python and are intended to be used in conjunction with the dolfinx.

Many users that are transitioning from legacy FEniCS to FEniCSx may find the transition difficult due to the lack of some functionalities in FEniCSx. This package aims to provide some of the functionalities that are missing in FEniCSx. The package is still in its early stages and many functionalities are still missing.

Features

Real-space implementation for usage in DOLFINx (>=v0.8.0)
Save quadrature functions as point clouds
Save any function that can tabulate dof coordinates as point clouds.
Point sources for usage in DOLFINx (>=v0.8.0)
- Point sources in vector spaces are only supported on v0.9.0, post DOLFINx PR 3429. For older versions, apply one point source in each sub space.
Simplified wrapper to create MeshTags based on a list of tags and corresponding locator functions.
Maps between degrees of freedom and vertices: vertex_to_dofmap and dof_to_vertex
Blocked Newton Solver
Function evaluation at specified points
Interpolation matrices from any ufl.core.expr.Expr into a compatible space.

Installation

The package is partly written in C++ and relies on dolfinx. User are encouraged to install scifem with pip in an environment where dolfinx is already installed or with conda.

`pip`

To install the package with pip run

python3 -m pip install scifem --no-build-isolation

To install the development version you can run

python3 -m pip install --no-build-isolation git+https://github.com/scientificcomputing/scifem.git

Note that you should pass the flag --no-build-isolation to pip to avoid issues with the build environment, such as incompatible versions of nanobind.

`spack`

The spack package manager is the recommended way to install scifem, and especially on HPC systems. For information about the package see: spack-package: py-scifem First, clone the spack repository and enable spack

git clone --depth=2 https://github.com/spack/spack.git
# For bash/zsh/sh
. spack/share/spack/setup-env.sh

# For tcsh/csh
source spack/share/spack/setup-env.csh

# For fish
. spack/share/spack/setup-env.fish

Next create an environment:

spack env create scifem_env
spack env activate scifem_env

Find the compilers on the system

spack compiler find

and install the relevant packages

spack add py-scifem+petsc+hdf5+biomed+adios2 ^mpich ^petsc+mumps+hypre ^py-fenics-dolfinx+petsc4py
spack concretize
spack install

Finally, note that spack needs some packages already installed on your system. On a clean ubuntu container for example one need to install the following packages before running spack

apt update && apt install gcc unzip git python3-dev g++ gfortran xz-utils -y

`conda`

To install the package with conda run

conda install -c conda-forge scifem

Having issues or want to contribute?

If you are having issues, feature request or would like to contribute, please let us know. You can do so by opening an issue on the issue tracker.

Release files for scifem 0.23.0

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for scifem 0.23.0
File	Size	Uploaded
scifem-0.23.0.tar.gz	2.0 MB	Sep 16, 2026	Details

Release files / scifem-0.23.0.tar.gz

Download URL	scifem-0.23.0.tar.gz
Size	2.0 MB
Tags	Source
SHA-256 checksum How to use checksums	`b64fe741413ae48cca8146858a0145849e8f5b0edfd1284787b759cfff03671d`
BLAKE2b-256 checksum How to use checksums	`0db440216a97bef245dbab554a403650fb45f0fa1b9ba01dfe122973df5285e4`
Upload date	Sep 16, 2026
Uploaded using Trusted Publishing? What is trusted publishing?	Yes
Uploaded via	`twine/7.0.0 CPython/3.13.14`

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