# FEniCS/dolfinx

Next generation FEniCS problem solving environment for solving finite element problems

Repository: https://github.com/FEniCS/dolfinx
Canonical: https://ross.abutalabs.com/products/dolfinx
Homepage: https://fenicsproject.org
Language: C++
License: LGPL-3.0
License Family: copyleft
Topics: finite-element-methods, partial-differential-equations, parallel-computing, fenicsx
Last push: 2026-09-03T01:50:36+00:00

## Health v2 (maintenance only)
Score: 95/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 100, release rhythm 87, longevity 100
- inputs: {"age_days": 3072, "days_push": 0, "days_rel": 84, "gap_med": 15.5, "n_releases_24m": 11}
- flags: none
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 1191, forks 260 (observed 2026-09-03T02:15:05.820393+00:00)

## What it is
DOLFINx is the next-generation computational environment of the FEniCS Project, implemented in C++ with Python bindings, for solving partial differential equations using the finite element method. It supports parallel computing on everything from laptops to HPC clusters and is actively developed.

## Use cases
- solve partial differential equations with the finite element method
- simulate heat transfer or fluid mechanics in Python
- build finite element solvers for solid mechanics
- run parallel FEM simulations on an HPC cluster
- translate scientific models into efficient finite element code
- solve electromagnetics or geophysics PDE models

## When to choose
- you need a high-level Python or C++ interface to finite element analysis
- you want to solve PDEs on parallel or high-performance computing systems
- you want a mature, actively developed open-source FEM platform

## When to avoid
- you need the legacy FEniCS/DOLFIN API or its older tutorials
- you need a turnkey GUI application rather than a programmable library
- your problem is not expressible as a finite element problem

## Facets
- artifact type: library
- maturity: active
- function: simulation, math, machine-learning
- domain: mathematics, simulation, data-science
- platform: windows, cpp, python, cross-platform
- tags: finite-element-method, partial-differential-equations, pde-solver, fenicsx, hpc, scientific-computing, petsc, parallel-computing, algorithms, linux, macos, docker

## Member repositories
- FEniCS/dolfinx (main) score 95

## Provenance
- Observed fields: from GitHub, fetched 2026-09-03T02:15:05.820393+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T06:23:46.832103+00:00, confidence not recorded.
  - readme: https://github.com/FEniCS/dolfinx (fetched 2026-09-03T02:15:05.820393+00:00, sha 173393f8b617)
  - homepage: https://fenicsproject.org (fetched 2026-08-29T12:30:46.866923+00:00, sha dfd5c52447ed)
  - site_page: https://fenicsproject.org/documentation (fetched 2026-08-29T12:30:46.869383+00:00, sha 842dad4744d4)
- Data as of 2026-08-30T08:39:29.467469+00:00.